Melasma is a difficult disorder to treat. With the removal of hydroquinone from the cosmetic market and the prevalence of dyschromia, new skin lightening ingredients are being sought and many new discoveries are coming from Asia. Artemisia capillaris is a natural botanical ingredient already used in skin care products in Asia.

There are more than 500 species of the genus Artemisia (of the Astraceae or Compositae family) dispersed throughout the temperate areas of Asia, Europe, and North America.¹ Various parts of the shrub Artemisia capillaris, found abundantly in China, Japan, and Korea, have been used in traditional medicine in Asia for hundreds of years. A. capillaris (Yin-Chen in Chinese) has been deployed in traditional Chinese medicine as a diuretic, to protect the liver, and to treat skin inflammation.^2,3 Antioxidant, anti-inflammatory, antisteatotic, antitumor, and antiviral properties have been associated with this plant,³ and hydrating effects have been recently attributed to it. In Korean medicine, A. capillaris (InJin in Korean) has been used for its hepatoprotective, analgesic, and antipyretic activities.^4,5 In this column, the focus will be on recent evidence that suggests possible applications in skin care.
 

Chemical constituents

In 2008, Kim et al. studied the anticarcinogenic activity of A. capillaris, among other medicinal herbs, using the 7,12-dimethylbenz[a]anthracene (DMBA)-induced mouse skin carcinogenesis model. The researchers found that A. capillaris exhibited the most effective anticarcinogenic activity compared to the other herbs tested, with such properties ascribed to its constituent camphor, 1-borneol, coumarin, and achillin. Notably, the chloroform fraction of A. capillaris significantly lowered the number of tumors/mouse and tumor incidence compared with the other tested herbs.⁶

moxumbic/iStock/Getty Images Plus

The wide range of biological functions associated with A. capillaris, including anti-inflammatory, antioxidant, antidiabetic, antisteatotic, and antitumor activities have, in various studies, been attributed to the bioactive constituents scoparone, scopoletin, capillarisin, capillin, and chlorogenic acids.³

Tyrosinase-related protein 1 (TYRP-1) and its role in skin pigmentation

Tyrosinase related protein 1 (TYRP-1) is structurally similar to tyrosinase, but its role is still being elucidated. Mutations in TYR-1 results in oculocutaneous albinism. TYRP-1 is involved in eumelanin synthesis, but not in pheomelanin synthesis. Mutations in TYRP-1 affect the quality of melanin synthesized rather than the quantity.⁴ TYRP-1 is being looked at as a target for treatment of hyperpigmentation disorders such as melasma.

Effects on melanin synthesis

A. capillaris reduces the expression of TYRP-1, making it attractive for use in skin lightening products. Although there are not a lot of data, this is a developing area of interest and the following will discuss what is known so far.

Kim et al. investigated the antimelanogenic activity of 10 essential oils, including A. capillaris, utilizing the B16F10 cell line model. A. capillaris was among four extracts found to hinder melanogenesis, and the only one that improved cell proliferation, displayed anti-H₂O₂ activity, and reduced tyrosinase-related protein (TRP)-1 expression. The researchers determined that A. capillaris extract suppressed melanin production through the downregulation of the TRP 1 translational level. They concluded that while investigations using in vivo models are necessary to buttress and validate these results, A. capillaris extract appears to be suitable as a natural therapeutic antimelanogenic agent as well as a skin-whitening ingredient in cosmeceutical products.⁷

Tabassum et al. screened A. capillaris for antipigmentary functions using murine cultured cells (B16-F10 malignant melanocytes). They found that the A. capillaris constituent 4,5-O-dicaffeoylquinic acid significantly and dose-dependently diminished melanin production and tyrosinase activity in the melanocytes. The expression of tyrosinase-related protein-1 was also decreased. Further, the researchers observed antipigmentary activity in a zebrafish model, with no toxicity demonstrated by either A. capillaris or its component 4,5-O-dicaffeoylquinic acid. They concluded that this compound could be included as an active ingredient in products intended to address pigmentation disorders.⁸
 

Anti-inflammatory activity

Inflammation is well known to trigger the production of melanin. This is why anti-inflammatory ingredients are often included in skin lighting products. A. capillaris displays anti-inflammatory activity and has shown some antioxidant activity.

In 2018, Lee et al. confirmed the therapeutic potential of A. capillaris extract to treat psoriasis in HaCaT cells and imiquimod-induced psoriasis-like mouse models. In the murine models, those treated with the ethanol extract of A. capillaris had a significantly lower Psoriasis Area and Severity Index score than that of the mice not given the topical application of the botanical. Epidermal thickness was noted to be significantly lower compared with the mice not treated with A. capillaris.⁹ Further studies in mice by the same team later that year supported the use of a cream formulation containing A. capillaris that they developed to treat psoriasis, warranting new investigations in human skin.¹⁰

Yeo et al. reported, earlier in 2018, on other anti-inflammatory activity of the herb, finding that the aqueous extract from A. capillaris blocked acute gastric mucosal injury by hindering reactive oxygen species and nuclear factor kappa B. They added that A. capillaris maintains oxidant/antioxidant homeostasis and displays potential as a nutraceutical agent for treating gastric ulcers and gastritis.⁵

In 2011, Kwon et al. studied the 5-lipoxygenase inhibitory action of a 70% ethanol extract of aerial parts of A. capillaris. They identified esculetin and quercetin as strong inhibitors of 5-lipoxygenase. The botanical agent, and esculetin in particular, robustly suppressed arachidonic acid-induced ear edema in mice as well as delayed-type hypersensitivity reactions. Further, A. capillaris potently blocked 5-lipoxygenase-catalyzed leukotriene synthesis by ionophore-induced rat basophilic leukemia-1 cells. The researchers concluded that their findings may partially account for the use of A. capillaris as a traditional medical treatment for cutaneous inflammatory conditions.²

Atopic dermatitis and A. capillaris

In 2014, Ha et al. used in vitro and in vivo systems to assess the anti-inflammatory effects of A. capillaris as well as its activity against atopic dermatitis. The in vitro studies revealed that A. capillaris hampered NO and cellular histamine synthesis. In Nc/Nga mice sensitized by Dermatophagoides farinae, dermatitis scores as well as hemorrhage, hypertrophy, and hyperkeratosis of the epidermis in the dorsal skin and ear all declined after the topical application of A. capillaris. Plasma levels of histamine and IgE also significantly decreased after treatment with A. capillaris. The investigators concluded that further study of A. capillaris is warranted as a potential therapeutic option for atopic dermatitis.¹¹

Summary

Many botanical ingredients from Asia are making their way into skin care products in the USA. A. capillaris extract is an example and may have utility in treating hyperpigmentation-associated skin issues such as melasma. Its inhibitory effects on both inflammation and melanin production in addition to possible antioxidant activity make it an interesting compound worthy of more scrutiny.

Dr. Baumann is a private practice dermatologist, researcher, author, and entrepreneur who practices in Miami. She founded the Cosmetic Dermatology Center at the University of Miami in 1997. Dr. Baumann has written two textbooks and a New York Times Best Sellers book for consumers. Dr. Baumann has received funding for advisory boards and/or clinical research trials from Allergan, Galderma, Revance, Evolus, and Burt’s Bees. She is the CEO of Skin Type Solutions Inc., a company that independently tests skin care products and makes recommendations to physicians on which skin care technologies are best. Write to her at [email protected].

References

1. Bora KS and Sharma A. Pharm Biol. 2011 Jan;49(1):101-9.

2. Kwon OS et al. Arch Pharm Res. 2011 Sep;34(9):1561-9.

3. Hsueh TP et al. Biomedicines. 2021 Oct 8;9(10):1412.

4. Dolinska MB et al. Int J Mol Sci. 2020 Jan 3;21(1):331.

5. Yeo D et al. Biomed Pharmacother. 2018 Mar;99:681-7.

6. Kim YS et al. J Food Sci. 2008 Jan;73(1):T16-20.

7. Kim MJ et al. Mol Med Rep. 2022 Apr;25(4):113.

8. Tabassum N et al. Evid Based Complement Alternat Med. 2016;2016:7823541.

9. Lee SY et al. Phytother Res. 2018 May;32(5):923-2.

10. Lee SY et al. Evid Based Complement Alternat Med. 2018 Aug 19;2018:3610494.

11. Ha H et al. BMC Complement Altern Med. 2014 Mar 14;14:100.

Melasma is a difficult disorder to treat. With the removal of hydroquinone from the cosmetic market and the prevalence of dyschromia, new skin lightening ingredients are being sought and many new discoveries are coming from Asia. Artemisia capillaris is a natural botanical ingredient already used in skin care products in Asia.

There are more than 500 species of the genus Artemisia (of the Astraceae or Compositae family) dispersed throughout the temperate areas of Asia, Europe, and North America.¹ Various parts of the shrub Artemisia capillaris, found abundantly in China, Japan, and Korea, have been used in traditional medicine in Asia for hundreds of years. A. capillaris (Yin-Chen in Chinese) has been deployed in traditional Chinese medicine as a diuretic, to protect the liver, and to treat skin inflammation.^2,3 Antioxidant, anti-inflammatory, antisteatotic, antitumor, and antiviral properties have been associated with this plant,³ and hydrating effects have been recently attributed to it. In Korean medicine, A. capillaris (InJin in Korean) has been used for its hepatoprotective, analgesic, and antipyretic activities.^4,5 In this column, the focus will be on recent evidence that suggests possible applications in skin care.
 

Chemical constituents

In 2008, Kim et al. studied the anticarcinogenic activity of A. capillaris, among other medicinal herbs, using the 7,12-dimethylbenz[a]anthracene (DMBA)-induced mouse skin carcinogenesis model. The researchers found that A. capillaris exhibited the most effective anticarcinogenic activity compared to the other herbs tested, with such properties ascribed to its constituent camphor, 1-borneol, coumarin, and achillin. Notably, the chloroform fraction of A. capillaris significantly lowered the number of tumors/mouse and tumor incidence compared with the other tested herbs.⁶

moxumbic/iStock/Getty Images Plus

The wide range of biological functions associated with A. capillaris, including anti-inflammatory, antioxidant, antidiabetic, antisteatotic, and antitumor activities have, in various studies, been attributed to the bioactive constituents scoparone, scopoletin, capillarisin, capillin, and chlorogenic acids.³

Tyrosinase-related protein 1 (TYRP-1) and its role in skin pigmentation

Tyrosinase related protein 1 (TYRP-1) is structurally similar to tyrosinase, but its role is still being elucidated. Mutations in TYR-1 results in oculocutaneous albinism. TYRP-1 is involved in eumelanin synthesis, but not in pheomelanin synthesis. Mutations in TYRP-1 affect the quality of melanin synthesized rather than the quantity.⁴ TYRP-1 is being looked at as a target for treatment of hyperpigmentation disorders such as melasma.

Effects on melanin synthesis

A. capillaris reduces the expression of TYRP-1, making it attractive for use in skin lightening products. Although there are not a lot of data, this is a developing area of interest and the following will discuss what is known so far.

Kim et al. investigated the antimelanogenic activity of 10 essential oils, including A. capillaris, utilizing the B16F10 cell line model. A. capillaris was among four extracts found to hinder melanogenesis, and the only one that improved cell proliferation, displayed anti-H₂O₂ activity, and reduced tyrosinase-related protein (TRP)-1 expression. The researchers determined that A. capillaris extract suppressed melanin production through the downregulation of the TRP 1 translational level. They concluded that while investigations using in vivo models are necessary to buttress and validate these results, A. capillaris extract appears to be suitable as a natural therapeutic antimelanogenic agent as well as a skin-whitening ingredient in cosmeceutical products.⁷

Tabassum et al. screened A. capillaris for antipigmentary functions using murine cultured cells (B16-F10 malignant melanocytes). They found that the A. capillaris constituent 4,5-O-dicaffeoylquinic acid significantly and dose-dependently diminished melanin production and tyrosinase activity in the melanocytes. The expression of tyrosinase-related protein-1 was also decreased. Further, the researchers observed antipigmentary activity in a zebrafish model, with no toxicity demonstrated by either A. capillaris or its component 4,5-O-dicaffeoylquinic acid. They concluded that this compound could be included as an active ingredient in products intended to address pigmentation disorders.⁸
 

Anti-inflammatory activity

Inflammation is well known to trigger the production of melanin. This is why anti-inflammatory ingredients are often included in skin lighting products. A. capillaris displays anti-inflammatory activity and has shown some antioxidant activity.

In 2018, Lee et al. confirmed the therapeutic potential of A. capillaris extract to treat psoriasis in HaCaT cells and imiquimod-induced psoriasis-like mouse models. In the murine models, those treated with the ethanol extract of A. capillaris had a significantly lower Psoriasis Area and Severity Index score than that of the mice not given the topical application of the botanical. Epidermal thickness was noted to be significantly lower compared with the mice not treated with A. capillaris.⁹ Further studies in mice by the same team later that year supported the use of a cream formulation containing A. capillaris that they developed to treat psoriasis, warranting new investigations in human skin.¹⁰

Yeo et al. reported, earlier in 2018, on other anti-inflammatory activity of the herb, finding that the aqueous extract from A. capillaris blocked acute gastric mucosal injury by hindering reactive oxygen species and nuclear factor kappa B. They added that A. capillaris maintains oxidant/antioxidant homeostasis and displays potential as a nutraceutical agent for treating gastric ulcers and gastritis.⁵

In 2011, Kwon et al. studied the 5-lipoxygenase inhibitory action of a 70% ethanol extract of aerial parts of A. capillaris. They identified esculetin and quercetin as strong inhibitors of 5-lipoxygenase. The botanical agent, and esculetin in particular, robustly suppressed arachidonic acid-induced ear edema in mice as well as delayed-type hypersensitivity reactions. Further, A. capillaris potently blocked 5-lipoxygenase-catalyzed leukotriene synthesis by ionophore-induced rat basophilic leukemia-1 cells. The researchers concluded that their findings may partially account for the use of A. capillaris as a traditional medical treatment for cutaneous inflammatory conditions.²

Atopic dermatitis and A. capillaris

In 2014, Ha et al. used in vitro and in vivo systems to assess the anti-inflammatory effects of A. capillaris as well as its activity against atopic dermatitis. The in vitro studies revealed that A. capillaris hampered NO and cellular histamine synthesis. In Nc/Nga mice sensitized by Dermatophagoides farinae, dermatitis scores as well as hemorrhage, hypertrophy, and hyperkeratosis of the epidermis in the dorsal skin and ear all declined after the topical application of A. capillaris. Plasma levels of histamine and IgE also significantly decreased after treatment with A. capillaris. The investigators concluded that further study of A. capillaris is warranted as a potential therapeutic option for atopic dermatitis.¹¹

Summary

Many botanical ingredients from Asia are making their way into skin care products in the USA. A. capillaris extract is an example and may have utility in treating hyperpigmentation-associated skin issues such as melasma. Its inhibitory effects on both inflammation and melanin production in addition to possible antioxidant activity make it an interesting compound worthy of more scrutiny.

Dr. Baumann is a private practice dermatologist, researcher, author, and entrepreneur who practices in Miami. She founded the Cosmetic Dermatology Center at the University of Miami in 1997. Dr. Baumann has written two textbooks and a New York Times Best Sellers book for consumers. Dr. Baumann has received funding for advisory boards and/or clinical research trials from Allergan, Galderma, Revance, Evolus, and Burt’s Bees. She is the CEO of Skin Type Solutions Inc., a company that independently tests skin care products and makes recommendations to physicians on which skin care technologies are best. Write to her at [email protected].

References

1. Bora KS and Sharma A. Pharm Biol. 2011 Jan;49(1):101-9.

2. Kwon OS et al. Arch Pharm Res. 2011 Sep;34(9):1561-9.

3. Hsueh TP et al. Biomedicines. 2021 Oct 8;9(10):1412.

4. Dolinska MB et al. Int J Mol Sci. 2020 Jan 3;21(1):331.

5. Yeo D et al. Biomed Pharmacother. 2018 Mar;99:681-7.

6. Kim YS et al. J Food Sci. 2008 Jan;73(1):T16-20.

7. Kim MJ et al. Mol Med Rep. 2022 Apr;25(4):113.

8. Tabassum N et al. Evid Based Complement Alternat Med. 2016;2016:7823541.

9. Lee SY et al. Phytother Res. 2018 May;32(5):923-2.

10. Lee SY et al. Evid Based Complement Alternat Med. 2018 Aug 19;2018:3610494.

11. Ha H et al. BMC Complement Altern Med. 2014 Mar 14;14:100.

Melasma is a difficult disorder to treat. With the removal of hydroquinone from the cosmetic market and the prevalence of dyschromia, new skin lightening ingredients are being sought and many new discoveries are coming from Asia. Artemisia capillaris is a natural botanical ingredient already used in skin care products in Asia.

There are more than 500 species of the genus Artemisia (of the Astraceae or Compositae family) dispersed throughout the temperate areas of Asia, Europe, and North America.¹ Various parts of the shrub Artemisia capillaris, found abundantly in China, Japan, and Korea, have been used in traditional medicine in Asia for hundreds of years. A. capillaris (Yin-Chen in Chinese) has been deployed in traditional Chinese medicine as a diuretic, to protect the liver, and to treat skin inflammation.^2,3 Antioxidant, anti-inflammatory, antisteatotic, antitumor, and antiviral properties have been associated with this plant,³ and hydrating effects have been recently attributed to it. In Korean medicine, A. capillaris (InJin in Korean) has been used for its hepatoprotective, analgesic, and antipyretic activities.^4,5 In this column, the focus will be on recent evidence that suggests possible applications in skin care.
 

Chemical constituents

In 2008, Kim et al. studied the anticarcinogenic activity of A. capillaris, among other medicinal herbs, using the 7,12-dimethylbenz[a]anthracene (DMBA)-induced mouse skin carcinogenesis model. The researchers found that A. capillaris exhibited the most effective anticarcinogenic activity compared to the other herbs tested, with such properties ascribed to its constituent camphor, 1-borneol, coumarin, and achillin. Notably, the chloroform fraction of A. capillaris significantly lowered the number of tumors/mouse and tumor incidence compared with the other tested herbs.⁶

moxumbic/iStock/Getty Images Plus

The wide range of biological functions associated with A. capillaris, including anti-inflammatory, antioxidant, antidiabetic, antisteatotic, and antitumor activities have, in various studies, been attributed to the bioactive constituents scoparone, scopoletin, capillarisin, capillin, and chlorogenic acids.³

Tyrosinase-related protein 1 (TYRP-1) and its role in skin pigmentation

Tyrosinase related protein 1 (TYRP-1) is structurally similar to tyrosinase, but its role is still being elucidated. Mutations in TYR-1 results in oculocutaneous albinism. TYRP-1 is involved in eumelanin synthesis, but not in pheomelanin synthesis. Mutations in TYRP-1 affect the quality of melanin synthesized rather than the quantity.⁴ TYRP-1 is being looked at as a target for treatment of hyperpigmentation disorders such as melasma.

Effects on melanin synthesis

A. capillaris reduces the expression of TYRP-1, making it attractive for use in skin lightening products. Although there are not a lot of data, this is a developing area of interest and the following will discuss what is known so far.

Kim et al. investigated the antimelanogenic activity of 10 essential oils, including A. capillaris, utilizing the B16F10 cell line model. A. capillaris was among four extracts found to hinder melanogenesis, and the only one that improved cell proliferation, displayed anti-H₂O₂ activity, and reduced tyrosinase-related protein (TRP)-1 expression. The researchers determined that A. capillaris extract suppressed melanin production through the downregulation of the TRP 1 translational level. They concluded that while investigations using in vivo models are necessary to buttress and validate these results, A. capillaris extract appears to be suitable as a natural therapeutic antimelanogenic agent as well as a skin-whitening ingredient in cosmeceutical products.⁷

Tabassum et al. screened A. capillaris for antipigmentary functions using murine cultured cells (B16-F10 malignant melanocytes). They found that the A. capillaris constituent 4,5-O-dicaffeoylquinic acid significantly and dose-dependently diminished melanin production and tyrosinase activity in the melanocytes. The expression of tyrosinase-related protein-1 was also decreased. Further, the researchers observed antipigmentary activity in a zebrafish model, with no toxicity demonstrated by either A. capillaris or its component 4,5-O-dicaffeoylquinic acid. They concluded that this compound could be included as an active ingredient in products intended to address pigmentation disorders.⁸
 

Anti-inflammatory activity

Inflammation is well known to trigger the production of melanin. This is why anti-inflammatory ingredients are often included in skin lighting products. A. capillaris displays anti-inflammatory activity and has shown some antioxidant activity.

In 2018, Lee et al. confirmed the therapeutic potential of A. capillaris extract to treat psoriasis in HaCaT cells and imiquimod-induced psoriasis-like mouse models. In the murine models, those treated with the ethanol extract of A. capillaris had a significantly lower Psoriasis Area and Severity Index score than that of the mice not given the topical application of the botanical. Epidermal thickness was noted to be significantly lower compared with the mice not treated with A. capillaris.⁹ Further studies in mice by the same team later that year supported the use of a cream formulation containing A. capillaris that they developed to treat psoriasis, warranting new investigations in human skin.¹⁰

Yeo et al. reported, earlier in 2018, on other anti-inflammatory activity of the herb, finding that the aqueous extract from A. capillaris blocked acute gastric mucosal injury by hindering reactive oxygen species and nuclear factor kappa B. They added that A. capillaris maintains oxidant/antioxidant homeostasis and displays potential as a nutraceutical agent for treating gastric ulcers and gastritis.⁵

In 2011, Kwon et al. studied the 5-lipoxygenase inhibitory action of a 70% ethanol extract of aerial parts of A. capillaris. They identified esculetin and quercetin as strong inhibitors of 5-lipoxygenase. The botanical agent, and esculetin in particular, robustly suppressed arachidonic acid-induced ear edema in mice as well as delayed-type hypersensitivity reactions. Further, A. capillaris potently blocked 5-lipoxygenase-catalyzed leukotriene synthesis by ionophore-induced rat basophilic leukemia-1 cells. The researchers concluded that their findings may partially account for the use of A. capillaris as a traditional medical treatment for cutaneous inflammatory conditions.²

Atopic dermatitis and A. capillaris

In 2014, Ha et al. used in vitro and in vivo systems to assess the anti-inflammatory effects of A. capillaris as well as its activity against atopic dermatitis. The in vitro studies revealed that A. capillaris hampered NO and cellular histamine synthesis. In Nc/Nga mice sensitized by Dermatophagoides farinae, dermatitis scores as well as hemorrhage, hypertrophy, and hyperkeratosis of the epidermis in the dorsal skin and ear all declined after the topical application of A. capillaris. Plasma levels of histamine and IgE also significantly decreased after treatment with A. capillaris. The investigators concluded that further study of A. capillaris is warranted as a potential therapeutic option for atopic dermatitis.¹¹

Summary

Many botanical ingredients from Asia are making their way into skin care products in the USA. A. capillaris extract is an example and may have utility in treating hyperpigmentation-associated skin issues such as melasma. Its inhibitory effects on both inflammation and melanin production in addition to possible antioxidant activity make it an interesting compound worthy of more scrutiny.

Dr. Baumann is a private practice dermatologist, researcher, author, and entrepreneur who practices in Miami. She founded the Cosmetic Dermatology Center at the University of Miami in 1997. Dr. Baumann has written two textbooks and a New York Times Best Sellers book for consumers. Dr. Baumann has received funding for advisory boards and/or clinical research trials from Allergan, Galderma, Revance, Evolus, and Burt’s Bees. She is the CEO of Skin Type Solutions Inc., a company that independently tests skin care products and makes recommendations to physicians on which skin care technologies are best. Write to her at [email protected].

References

1. Bora KS and Sharma A. Pharm Biol. 2011 Jan;49(1):101-9.

2. Kwon OS et al. Arch Pharm Res. 2011 Sep;34(9):1561-9.

3. Hsueh TP et al. Biomedicines. 2021 Oct 8;9(10):1412.

4. Dolinska MB et al. Int J Mol Sci. 2020 Jan 3;21(1):331.

5. Yeo D et al. Biomed Pharmacother. 2018 Mar;99:681-7.

6. Kim YS et al. J Food Sci. 2008 Jan;73(1):T16-20.

7. Kim MJ et al. Mol Med Rep. 2022 Apr;25(4):113.

8. Tabassum N et al. Evid Based Complement Alternat Med. 2016;2016:7823541.

9. Lee SY et al. Phytother Res. 2018 May;32(5):923-2.

10. Lee SY et al. Evid Based Complement Alternat Med. 2018 Aug 19;2018:3610494.

11. Ha H et al. BMC Complement Altern Med. 2014 Mar 14;14:100.

A novel, low-dose formulation of pramipexole and rasagiline (P2B001) shows promise as a first-line treatment for patients with early-stage Parkinson’s disease. Results from a phase 3 trial found that P2B001 was superior to its components in improving motor symptoms and daily function and was comparable with marketed doses of pramipexole.

P2B001 also produced less daytime sleepiness and fewer dopaminergic effects, said the investigators, who presented findings at the International Congress of Parkinson’s Disease and Movement Disorders.

The treatment studied, P2B001, is a proprietary, fixed-dose combination of extended-release (ER) formulations of pramipexole and rasagiline. Neither dose is currently available on the market.

Investigators wanted to test the hypothesis that two anti-Parkinsonian drugs that act through different mechanisms could work synergistically, providing benefits comparable with pramipexole but with fewer side effects, said lead study author Warren Olanow, MD, professor emeritus in the neurology and neuroscience departments at the Icahn School of Medicine at Mount Sinai, New York.

Pramipexole is problematic in that it causes dopaminergic and sleep-related side effects.

Laboratory studies have shown that low doses of pramipexole and rasagiline act synergistically, said Dr. Olanow. “A previous double-blind controlled study demonstrated that P2B001 was significantly superior to placebo with respect to efficacy (P < .001) and had a good safety and tolerability profile.”
 

P2B001 outperforms other formulations

The multicenter phase 3 study (NCT03329508) enrolled 544 patients aged 35-80 with early Parkinson’s disease to assess efficacy and safety of a daily dose of P2B001, compared with its components. Patients were randomized 2:2:2:1 to 12 weeks of treatment with P2B001; pramipexole ER 0.6 mg; rasagiline ER 0.75 mg, or to a calibration arm of marketed pramipexole-ER titrated to optimal dose (mean dose, 3.2 mg).

The primary endpoint compared baseline with week 12 changes in Unified Parkinson’s Disease Rating Scale total scores for P2B001 versus its individual components. The secondary endpoint compared baseline changes in Epworth Sleepiness Scale (ESS) for P2B001 versus pramipexole-ER.

P2B001 showed superior efficacy to each of its individual components and comparable efficacy with marketed doses of pramipexole-ER. It also yielded fewer adverse events related to dopaminergic side effects and less daytime sleepiness as measured by ESS. “Further, the drug is administered once a day and does not require titration,” said Dr. Olanow.
 

Levodopa-related benefits

Another advantage of starting early-stage patients on P2B001 is that it would give patients more time to be on an effective therapy with fewer side effects before going on levodopa, the current gold standard for Parkinson’s disease treatment.

Although the American Academy of Neurology recommends levodopa as initial therapy for Parkinson’s disease, the drug has been associated with a risk of developing motor complications.

“This opinion, however, was formulated prior to the availability of the results of the P2B001 study and should be reassessed in the light of the present study,” said Dr. Olanow. Longer-term studies should assess when and if patients will require levodopa therapy, as well as the long-term effects of P2B001 on the development of motor complications in patients with early Parkinson’s disease patients.

Investigators are preparing a regulatory market approval filing for P2B001 with the Food and Drug Administration.

Dr. Olanow is CEO of Clintrex Research Corporation, which has provided services to Pharma2B, sponsor of the phase 3 study. Pharma Two B is a private, late clinical-stage pharmaceutical company in Rehovot, Israel, that owns worldwide granted patents for P2B001 pharmaceutical composition and method of treatment.

A novel, low-dose formulation of pramipexole and rasagiline (P2B001) shows promise as a first-line treatment for patients with early-stage Parkinson’s disease. Results from a phase 3 trial found that P2B001 was superior to its components in improving motor symptoms and daily function and was comparable with marketed doses of pramipexole.

P2B001 also produced less daytime sleepiness and fewer dopaminergic effects, said the investigators, who presented findings at the International Congress of Parkinson’s Disease and Movement Disorders.

The treatment studied, P2B001, is a proprietary, fixed-dose combination of extended-release (ER) formulations of pramipexole and rasagiline. Neither dose is currently available on the market.

Investigators wanted to test the hypothesis that two anti-Parkinsonian drugs that act through different mechanisms could work synergistically, providing benefits comparable with pramipexole but with fewer side effects, said lead study author Warren Olanow, MD, professor emeritus in the neurology and neuroscience departments at the Icahn School of Medicine at Mount Sinai, New York.

Pramipexole is problematic in that it causes dopaminergic and sleep-related side effects.

Laboratory studies have shown that low doses of pramipexole and rasagiline act synergistically, said Dr. Olanow. “A previous double-blind controlled study demonstrated that P2B001 was significantly superior to placebo with respect to efficacy (P < .001) and had a good safety and tolerability profile.”
 

P2B001 outperforms other formulations

The multicenter phase 3 study (NCT03329508) enrolled 544 patients aged 35-80 with early Parkinson’s disease to assess efficacy and safety of a daily dose of P2B001, compared with its components. Patients were randomized 2:2:2:1 to 12 weeks of treatment with P2B001; pramipexole ER 0.6 mg; rasagiline ER 0.75 mg, or to a calibration arm of marketed pramipexole-ER titrated to optimal dose (mean dose, 3.2 mg).

The primary endpoint compared baseline with week 12 changes in Unified Parkinson’s Disease Rating Scale total scores for P2B001 versus its individual components. The secondary endpoint compared baseline changes in Epworth Sleepiness Scale (ESS) for P2B001 versus pramipexole-ER.

P2B001 showed superior efficacy to each of its individual components and comparable efficacy with marketed doses of pramipexole-ER. It also yielded fewer adverse events related to dopaminergic side effects and less daytime sleepiness as measured by ESS. “Further, the drug is administered once a day and does not require titration,” said Dr. Olanow.
 

Levodopa-related benefits

Another advantage of starting early-stage patients on P2B001 is that it would give patients more time to be on an effective therapy with fewer side effects before going on levodopa, the current gold standard for Parkinson’s disease treatment.

Although the American Academy of Neurology recommends levodopa as initial therapy for Parkinson’s disease, the drug has been associated with a risk of developing motor complications.

“This opinion, however, was formulated prior to the availability of the results of the P2B001 study and should be reassessed in the light of the present study,” said Dr. Olanow. Longer-term studies should assess when and if patients will require levodopa therapy, as well as the long-term effects of P2B001 on the development of motor complications in patients with early Parkinson’s disease patients.

Investigators are preparing a regulatory market approval filing for P2B001 with the Food and Drug Administration.

Dr. Olanow is CEO of Clintrex Research Corporation, which has provided services to Pharma2B, sponsor of the phase 3 study. Pharma Two B is a private, late clinical-stage pharmaceutical company in Rehovot, Israel, that owns worldwide granted patents for P2B001 pharmaceutical composition and method of treatment.

A novel, low-dose formulation of pramipexole and rasagiline (P2B001) shows promise as a first-line treatment for patients with early-stage Parkinson’s disease. Results from a phase 3 trial found that P2B001 was superior to its components in improving motor symptoms and daily function and was comparable with marketed doses of pramipexole.

P2B001 also produced less daytime sleepiness and fewer dopaminergic effects, said the investigators, who presented findings at the International Congress of Parkinson’s Disease and Movement Disorders.

The treatment studied, P2B001, is a proprietary, fixed-dose combination of extended-release (ER) formulations of pramipexole and rasagiline. Neither dose is currently available on the market.

Investigators wanted to test the hypothesis that two anti-Parkinsonian drugs that act through different mechanisms could work synergistically, providing benefits comparable with pramipexole but with fewer side effects, said lead study author Warren Olanow, MD, professor emeritus in the neurology and neuroscience departments at the Icahn School of Medicine at Mount Sinai, New York.

Pramipexole is problematic in that it causes dopaminergic and sleep-related side effects.

Laboratory studies have shown that low doses of pramipexole and rasagiline act synergistically, said Dr. Olanow. “A previous double-blind controlled study demonstrated that P2B001 was significantly superior to placebo with respect to efficacy (P < .001) and had a good safety and tolerability profile.”
 

P2B001 outperforms other formulations

The multicenter phase 3 study (NCT03329508) enrolled 544 patients aged 35-80 with early Parkinson’s disease to assess efficacy and safety of a daily dose of P2B001, compared with its components. Patients were randomized 2:2:2:1 to 12 weeks of treatment with P2B001; pramipexole ER 0.6 mg; rasagiline ER 0.75 mg, or to a calibration arm of marketed pramipexole-ER titrated to optimal dose (mean dose, 3.2 mg).

The primary endpoint compared baseline with week 12 changes in Unified Parkinson’s Disease Rating Scale total scores for P2B001 versus its individual components. The secondary endpoint compared baseline changes in Epworth Sleepiness Scale (ESS) for P2B001 versus pramipexole-ER.

P2B001 showed superior efficacy to each of its individual components and comparable efficacy with marketed doses of pramipexole-ER. It also yielded fewer adverse events related to dopaminergic side effects and less daytime sleepiness as measured by ESS. “Further, the drug is administered once a day and does not require titration,” said Dr. Olanow.
 

Levodopa-related benefits

Another advantage of starting early-stage patients on P2B001 is that it would give patients more time to be on an effective therapy with fewer side effects before going on levodopa, the current gold standard for Parkinson’s disease treatment.

Although the American Academy of Neurology recommends levodopa as initial therapy for Parkinson’s disease, the drug has been associated with a risk of developing motor complications.

“This opinion, however, was formulated prior to the availability of the results of the P2B001 study and should be reassessed in the light of the present study,” said Dr. Olanow. Longer-term studies should assess when and if patients will require levodopa therapy, as well as the long-term effects of P2B001 on the development of motor complications in patients with early Parkinson’s disease patients.

Investigators are preparing a regulatory market approval filing for P2B001 with the Food and Drug Administration.

Dr. Olanow is CEO of Clintrex Research Corporation, which has provided services to Pharma2B, sponsor of the phase 3 study. Pharma Two B is a private, late clinical-stage pharmaceutical company in Rehovot, Israel, that owns worldwide granted patents for P2B001 pharmaceutical composition and method of treatment.

PORTLAND, ORE. – Some pernio-like/chilblains-like lesions on the toes – which became widely known as “COVID toes” – and other acral sites that have occurred during the COVID-19 pandemic are related to COVID-19 infection, while others are not, according to Lindy P. Fox, MD, professor of dermatology and director of the hospital consultation service at the University of California, San Francisco.

“We’re learning a lot about pernio because of COVID,” Dr. Fox, a member of the American Academy of Dermatology’s Ad Hoc Task Force on COVID-19, said at the annual meeting of the Pacific Dermatologic Association. “Patients with pernio tend to either have bright red or purple individual lesions or an erythromelalgia-like presentation, often waking up in the middle of the night saying ‘my feet hurt. I can’t put sheets over my feet.’ In my experience, the patients with an erythromelalgia-like presentation tend to be a lot harder to treat.”

courtesy UCSF

Establishing terminology to describe pernio-like lesions was a challenge in the early stages of the COVID-19 pandemic, Dr. Fox added, with clinicians using terms like erythema multiforme-like, coxsackie-like, or even necrotic to describe the lesions. “I don’t think pernio is truly necrotic; I think it’s really inflammatory and purpuric,” she said.

Early in the pandemic, studies suggesting a link with these cases and COVID-19 infection include a case series of 318 patients with pernio-like skin lesions who had confirmed or suspected COVID-19. Most of these patients were generally young and healthy and most had relatively mild COVID-19; 7% were laboratory-confirmed COVID-19 positive, and 6% were close contacts of patients with confirmed COVID-19. Pernio-like lesions were the only symptoms in 55% of the patients.

In another study, researchers in France evaluated the clinical, laboratory, and pathologic characteristics of 40 patients who developed chilblain-like lesions (mostly involving the toes) during the COVID-19 pandemic and were seen as outpatients in April 2020 . All were polymerase chain reaction (PCR) negative, 30% were SARS-CoV-2 serology positive, and 60% had elevated D-dimers. Histology obtained from 19 of the patients revealed lymphocytic inflammation and vascular damage, and 8 had IgA positivity.

In a retrospective analysis of seven pediatric chilblains cases during the pandemic, researchers examined the skin biopsies to evaluate histopathological features and explored the presence of SARS-CoV-2 in the tissue. All patients were PCR negative. The authors observed cytoplasmic granular positivity for SARS-CoV-2 spike protein in endothelial cells, a feature that they said showed coronavirus-like particles, consistent with SARS-CoV-2.

Not all studies in the medical literature have demonstrated an association between pernio-like/chilblains-like lesions and COVID-19, though. An analysis of 23 patients, with skin eruptions considered associated with SARS-CoV-2 infections (including 21 cases of chilblains) during the first wave of the pandemic found that the antibody and T-cell response in patients with pandemic chilblains was the same as in negative controls.

“What’s remarkably interesting about this study is that they did autopsies of samples from patients who had died prepandemic, so there was no such thing as COVID-19,” said Dr. Fox, who was not involved with the study. “They stained for viral particles in those patients, and they were positive in a subset of patients. This makes me wonder about what the significance of that staining positivity is.”

Yet another group of investigators looked at what was happening with pernio during the waves of COVID in a study of chilblains cases in children in Spain, and found a stronger association between lockdown and cold temperature, which argues against a direct association between pernio and COVID infection.

In Dr. Fox’s experience, COVID toes can recur, especially upon exposure to cold. “What taught me this in real life is a patient who I saw remotely by video,” she recalled. “It was early on in the pandemic. I could not prove he had COVID no matter how hard I tried, but I do think he had COVID toes at that time.” When he later was confirmed to have COVID, “he got pernio in the same exact location as his original suspected COVID toes.”

According to an analysis of long COVID in the skin, based on cases reported to the American Academy of Dermatology–International League of Dermatological Societies registry from April 8 to Oct. 8, 2020, pernio-like lesions lasted a median of 12 days in patients with lab-confirmed COVID-19 and a median of 15 days in those with suspected COVID-19. But almost 7% of the 103 pernio cases were long-haulers, defined as those with dermatologic signs of COVID that lasted beyond 60 days.

“There are some patients who are resistant to treatment,” Dr. Fox said. “In addition, recurrent lesions make me think that maybe all pernio is triggered by some viral cause. This causes an immunologic phenomenon that’s responding to a viral trigger you’re trying to deal with. That may be the better way to think about COVID toes.”

Different variants of COVID also appear to be changing the characteristics of dermatologic manifestations associated with infection. Results from a large retrospective analysis of nearly 350,000 users of a COVID study App in the United Kingdom found that skin lesions were more predictive of a positive test in the Delta wave, compared with the Omicron wave, while pernio-like lesions were predictive of infection in the Delta wave but not in the Omicron wave.

“And, whether you were vaccinated or unvaccinated really did not influence whether or not you were going to have a skin rash as a presenting sign of COVID, except for the burning rash, which was less in vaccinated patients,” said Dr. Fox, who was not involved with the study.

Dr. Fox reported having no relevant disclosures.

PORTLAND, ORE. – Some pernio-like/chilblains-like lesions on the toes – which became widely known as “COVID toes” – and other acral sites that have occurred during the COVID-19 pandemic are related to COVID-19 infection, while others are not, according to Lindy P. Fox, MD, professor of dermatology and director of the hospital consultation service at the University of California, San Francisco.

“We’re learning a lot about pernio because of COVID,” Dr. Fox, a member of the American Academy of Dermatology’s Ad Hoc Task Force on COVID-19, said at the annual meeting of the Pacific Dermatologic Association. “Patients with pernio tend to either have bright red or purple individual lesions or an erythromelalgia-like presentation, often waking up in the middle of the night saying ‘my feet hurt. I can’t put sheets over my feet.’ In my experience, the patients with an erythromelalgia-like presentation tend to be a lot harder to treat.”

courtesy UCSF

Establishing terminology to describe pernio-like lesions was a challenge in the early stages of the COVID-19 pandemic, Dr. Fox added, with clinicians using terms like erythema multiforme-like, coxsackie-like, or even necrotic to describe the lesions. “I don’t think pernio is truly necrotic; I think it’s really inflammatory and purpuric,” she said.

Early in the pandemic, studies suggesting a link with these cases and COVID-19 infection include a case series of 318 patients with pernio-like skin lesions who had confirmed or suspected COVID-19. Most of these patients were generally young and healthy and most had relatively mild COVID-19; 7% were laboratory-confirmed COVID-19 positive, and 6% were close contacts of patients with confirmed COVID-19. Pernio-like lesions were the only symptoms in 55% of the patients.

In another study, researchers in France evaluated the clinical, laboratory, and pathologic characteristics of 40 patients who developed chilblain-like lesions (mostly involving the toes) during the COVID-19 pandemic and were seen as outpatients in April 2020 . All were polymerase chain reaction (PCR) negative, 30% were SARS-CoV-2 serology positive, and 60% had elevated D-dimers. Histology obtained from 19 of the patients revealed lymphocytic inflammation and vascular damage, and 8 had IgA positivity.

In a retrospective analysis of seven pediatric chilblains cases during the pandemic, researchers examined the skin biopsies to evaluate histopathological features and explored the presence of SARS-CoV-2 in the tissue. All patients were PCR negative. The authors observed cytoplasmic granular positivity for SARS-CoV-2 spike protein in endothelial cells, a feature that they said showed coronavirus-like particles, consistent with SARS-CoV-2.

Not all studies in the medical literature have demonstrated an association between pernio-like/chilblains-like lesions and COVID-19, though. An analysis of 23 patients, with skin eruptions considered associated with SARS-CoV-2 infections (including 21 cases of chilblains) during the first wave of the pandemic found that the antibody and T-cell response in patients with pandemic chilblains was the same as in negative controls.

“What’s remarkably interesting about this study is that they did autopsies of samples from patients who had died prepandemic, so there was no such thing as COVID-19,” said Dr. Fox, who was not involved with the study. “They stained for viral particles in those patients, and they were positive in a subset of patients. This makes me wonder about what the significance of that staining positivity is.”

Yet another group of investigators looked at what was happening with pernio during the waves of COVID in a study of chilblains cases in children in Spain, and found a stronger association between lockdown and cold temperature, which argues against a direct association between pernio and COVID infection.

In Dr. Fox’s experience, COVID toes can recur, especially upon exposure to cold. “What taught me this in real life is a patient who I saw remotely by video,” she recalled. “It was early on in the pandemic. I could not prove he had COVID no matter how hard I tried, but I do think he had COVID toes at that time.” When he later was confirmed to have COVID, “he got pernio in the same exact location as his original suspected COVID toes.”

According to an analysis of long COVID in the skin, based on cases reported to the American Academy of Dermatology–International League of Dermatological Societies registry from April 8 to Oct. 8, 2020, pernio-like lesions lasted a median of 12 days in patients with lab-confirmed COVID-19 and a median of 15 days in those with suspected COVID-19. But almost 7% of the 103 pernio cases were long-haulers, defined as those with dermatologic signs of COVID that lasted beyond 60 days.

“There are some patients who are resistant to treatment,” Dr. Fox said. “In addition, recurrent lesions make me think that maybe all pernio is triggered by some viral cause. This causes an immunologic phenomenon that’s responding to a viral trigger you’re trying to deal with. That may be the better way to think about COVID toes.”

Different variants of COVID also appear to be changing the characteristics of dermatologic manifestations associated with infection. Results from a large retrospective analysis of nearly 350,000 users of a COVID study App in the United Kingdom found that skin lesions were more predictive of a positive test in the Delta wave, compared with the Omicron wave, while pernio-like lesions were predictive of infection in the Delta wave but not in the Omicron wave.

“And, whether you were vaccinated or unvaccinated really did not influence whether or not you were going to have a skin rash as a presenting sign of COVID, except for the burning rash, which was less in vaccinated patients,” said Dr. Fox, who was not involved with the study.

Dr. Fox reported having no relevant disclosures.

PORTLAND, ORE. – Some pernio-like/chilblains-like lesions on the toes – which became widely known as “COVID toes” – and other acral sites that have occurred during the COVID-19 pandemic are related to COVID-19 infection, while others are not, according to Lindy P. Fox, MD, professor of dermatology and director of the hospital consultation service at the University of California, San Francisco.

“We’re learning a lot about pernio because of COVID,” Dr. Fox, a member of the American Academy of Dermatology’s Ad Hoc Task Force on COVID-19, said at the annual meeting of the Pacific Dermatologic Association. “Patients with pernio tend to either have bright red or purple individual lesions or an erythromelalgia-like presentation, often waking up in the middle of the night saying ‘my feet hurt. I can’t put sheets over my feet.’ In my experience, the patients with an erythromelalgia-like presentation tend to be a lot harder to treat.”

courtesy UCSF

Establishing terminology to describe pernio-like lesions was a challenge in the early stages of the COVID-19 pandemic, Dr. Fox added, with clinicians using terms like erythema multiforme-like, coxsackie-like, or even necrotic to describe the lesions. “I don’t think pernio is truly necrotic; I think it’s really inflammatory and purpuric,” she said.

Early in the pandemic, studies suggesting a link with these cases and COVID-19 infection include a case series of 318 patients with pernio-like skin lesions who had confirmed or suspected COVID-19. Most of these patients were generally young and healthy and most had relatively mild COVID-19; 7% were laboratory-confirmed COVID-19 positive, and 6% were close contacts of patients with confirmed COVID-19. Pernio-like lesions were the only symptoms in 55% of the patients.

In another study, researchers in France evaluated the clinical, laboratory, and pathologic characteristics of 40 patients who developed chilblain-like lesions (mostly involving the toes) during the COVID-19 pandemic and were seen as outpatients in April 2020 . All were polymerase chain reaction (PCR) negative, 30% were SARS-CoV-2 serology positive, and 60% had elevated D-dimers. Histology obtained from 19 of the patients revealed lymphocytic inflammation and vascular damage, and 8 had IgA positivity.

In a retrospective analysis of seven pediatric chilblains cases during the pandemic, researchers examined the skin biopsies to evaluate histopathological features and explored the presence of SARS-CoV-2 in the tissue. All patients were PCR negative. The authors observed cytoplasmic granular positivity for SARS-CoV-2 spike protein in endothelial cells, a feature that they said showed coronavirus-like particles, consistent with SARS-CoV-2.

Not all studies in the medical literature have demonstrated an association between pernio-like/chilblains-like lesions and COVID-19, though. An analysis of 23 patients, with skin eruptions considered associated with SARS-CoV-2 infections (including 21 cases of chilblains) during the first wave of the pandemic found that the antibody and T-cell response in patients with pandemic chilblains was the same as in negative controls.

“What’s remarkably interesting about this study is that they did autopsies of samples from patients who had died prepandemic, so there was no such thing as COVID-19,” said Dr. Fox, who was not involved with the study. “They stained for viral particles in those patients, and they were positive in a subset of patients. This makes me wonder about what the significance of that staining positivity is.”

Yet another group of investigators looked at what was happening with pernio during the waves of COVID in a study of chilblains cases in children in Spain, and found a stronger association between lockdown and cold temperature, which argues against a direct association between pernio and COVID infection.

In Dr. Fox’s experience, COVID toes can recur, especially upon exposure to cold. “What taught me this in real life is a patient who I saw remotely by video,” she recalled. “It was early on in the pandemic. I could not prove he had COVID no matter how hard I tried, but I do think he had COVID toes at that time.” When he later was confirmed to have COVID, “he got pernio in the same exact location as his original suspected COVID toes.”

According to an analysis of long COVID in the skin, based on cases reported to the American Academy of Dermatology–International League of Dermatological Societies registry from April 8 to Oct. 8, 2020, pernio-like lesions lasted a median of 12 days in patients with lab-confirmed COVID-19 and a median of 15 days in those with suspected COVID-19. But almost 7% of the 103 pernio cases were long-haulers, defined as those with dermatologic signs of COVID that lasted beyond 60 days.

“There are some patients who are resistant to treatment,” Dr. Fox said. “In addition, recurrent lesions make me think that maybe all pernio is triggered by some viral cause. This causes an immunologic phenomenon that’s responding to a viral trigger you’re trying to deal with. That may be the better way to think about COVID toes.”

Different variants of COVID also appear to be changing the characteristics of dermatologic manifestations associated with infection. Results from a large retrospective analysis of nearly 350,000 users of a COVID study App in the United Kingdom found that skin lesions were more predictive of a positive test in the Delta wave, compared with the Omicron wave, while pernio-like lesions were predictive of infection in the Delta wave but not in the Omicron wave.

“And, whether you were vaccinated or unvaccinated really did not influence whether or not you were going to have a skin rash as a presenting sign of COVID, except for the burning rash, which was less in vaccinated patients,” said Dr. Fox, who was not involved with the study.

Dr. Fox reported having no relevant disclosures.

From the Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC.

Abstract

Objective: Inpatient vaccination initiatives are well described in the literature. During the COVID-19 pandemic, hospitals began administering COVID-19 vaccines to hospitalized patients. Although vaccination rates increased, there remained many unvaccinated patients despite community efforts. This quality improvement project aimed to increase the COVID-19 vaccination rates of hospitalized patients on the medicine service at the George Washington University Hospital (GWUH).

Methods: From November 2021 through February 2022, we conducted a Plan-Do-Study-Act (PDSA) cycle with 3 phases. Initial steps included gathering baseline data from the electronic health record and consulting stakeholders. The first 2 phases focused on educating housestaff on the availability, ordering process, and administration of the Pfizer vaccine. The third phase consisted of developing educational pamphlets for patients to be included in their admission packets.

Results: The baseline mean COVID-19 vaccination rate (August to October 2021) of eligible patients on the medicine service was 10.7%. In the months after we implemented the PDSA cycle (November 2021 to February 2022), the mean vaccination rate increased to 15.4%.

Conclusion: This quality improvement project implemented measures to increase administration of the Pfizer vaccine to eligible patients admitted to the medicine service at GWUH. The mean vaccination rate increased from 10.7% in the 3 months prior to implementation to 15.4% during the 4 months post implementation. Other measures to consider in the future include increasing the availability of other COVID-19 vaccines at our hospital and incorporating the vaccine into the admission order set to help facilitate vaccination early in the hospital course.

Keywords: housestaff, quality improvement, PDSA, COVID-19, BNT162b2 vaccine, patient education

Throughout the COVID-19 pandemic, case rates in the United States have fluctuated considerably, corresponding to epidemic waves. In 2021, US daily cases of COVID-19 peaked at nearly 300,000 in early January and reached a nadir of 8000 cases in mid-June.¹ In September 2021, new cases had increased to 200,000 per day due to the prevalence of the Delta variant.¹ Particularly with the emergence of new variants of SARS-CoV-2, vaccination efforts to limit the spread of infection and severity of illness are critical. Data have shown that 2 doses of the BNT162b2 vaccine (Pfizer-BioNTech) were largely protective against severe infection for approximately 6 months.^2,3 When we began this quality improvement (QI) project in September 2021, only 179 million Americans had been fully vaccinated, according to data from the Centers for Disease Control and Prevention, which is just over half of the US population.⁴ An electronic survey conducted in the United States with more than 5 million responses found that, of those who were hesitant about receiving the vaccine, 49% reported a fear of adverse effects and 48% reported a lack of trust in the vaccine.⁵

This QI project sought to target unvaccinated individuals admitted to the internal medicine inpatient service. Vaccinating hospitalized patients is especially important since they are sicker than the general population and at higher risk of having poor outcomes from COVID-19. Inpatient vaccine initiatives, such as administering influenza vaccine prior to discharge, have been successfully implemented in the past.⁶ One large COVID-19 vaccination program featured an admission order set to increase the rates of vaccination among hospitalized patients.⁷ Our QI project piloted a multidisciplinary approach involving the nursing staff, pharmacy, information technology (IT) department, and internal medicine housestaff to increase COVID-19 vaccination rates among hospitalized patients on the medical service. This project aimed to increase inpatient vaccination rates through interventions targeting both primary providers as well as the patients themselves.

Methods

Setting and Interventions

This project was conducted at the George Washington University Hospital (GWUH) in Washington, DC. The clinicians involved in the study were the internal medicine housestaff, and the patients included were adults admitted to the resident medicine ward teams. The project was exempt by the institutional review board and did not require informed consent.

The quality improvement initiative had 3 phases, each featuring a different intervention (Table 1). The first phase involved sending a weekly announcement (via email and a secure health care messaging app) to current residents rotating on the inpatient medicine service. The announcement contained information regarding COVID-19 vaccine availability at the hospital, instructions on ordering the vaccine, and the process of coordinating with pharmacy to facilitate vaccine administration. Thereafter, residents were educated on the process of giving a COVID-19 vaccine to a patient from start to finish. Due to the nature of the residency schedule, different housestaff members rotated in and out of the medicine wards during the intervention periods. The weekly email was sent to the entire internal medicine housestaff, informing all residents about the QI project, while the weekly secure messages served as reminders and were only sent to residents currently on the medicine wards.

In the second phase, we posted paper flyers throughout the hospital to remind housestaff to give the vaccine and again educate them on the process of ordering the vaccine. For the third intervention, a COVID-19 vaccine educational pamphlet was developed for distribution to inpatients at GWUH. The pamphlet included information on vaccine efficacy, safety, side effects, and eligibility. The pamphlet was incorporated in the admission packet that every patient receives upon admission to the hospital. The patients reviewed the pamphlets with nursing staff, who would answer any questions, with residents available to discuss any outstanding concerns.

Measures and Data Gathering

The primary endpoint of the study was inpatient vaccination rate, defined as the number of COVID-19 vaccines administered divided by the number of patients eligible to receive a vaccine (not fully vaccinated). During initial triage, nursing staff documented vaccination status in the electronic health record (EHR), checking a box in a data entry form if a patient had received 0, 1, or 2 doses of the COVID-19 vaccine. The GWUH IT department generated data from this form to determine the number of patients eligible to receive a COVID-19 vaccine. Data were extracted from the medication administration record in the EHR to determine the number of vaccines that were administered to patients during their hospitalization on the inpatient medical service. Each month, the IT department extracted data for the number of eligible patients and the number of vaccines administered. This yielded the monthly vaccination rates. The monthly vaccination rates in the period prior to starting the QI initiative were compared to the rates in the period after the interventions were implemented.

Of note, during the course of this project, patients became eligible for a third COVID-19 vaccine (booster). We decided to continue with the original aim of vaccinating adults who had only received 0 or 1 dose of the vaccine. Therefore, the eligibility criteria remained the same throughout the study. We obtained retrospective data to ensure that the vaccines being counted toward the vaccination rate were vaccines given to patients not yet fully vaccinated and not vaccines given as boosters.

Results

From August to October 2021, the baseline average monthly vaccination rate of patients on the medicine service who were eligible to receive a COVID-19 vaccine was 10.7%. After the first intervention, the vaccination rate increased to 19.7% in November 2021 (Table 2). The second intervention yielded vaccination rates of 11.4% and 11.8% in December 2021 and January 2022, respectively. During the final phase in February 2022, the vaccination rate was 19.0%. At the conclusion of the study, the mean vaccination rate for the intervention months was 15.4% (Figure 1). Process stability and variation are demonstrated with a statistical process control chart (Figure 2).

For this housestaff-driven QI project, we implemented an inpatient COVID-19 vaccination campaign consisting of 3 phases that targeted both providers and patients. During the intervention period, we observed an increased vaccination rate compared to the period just prior to implementation of the QI project. While our interventions may certainly have boosted vaccination rates, we understand other variables could have contributed to increased rates as well. The emergence of variants in the United States, such as omicron in December 2021,⁸ could have precipitated a demand for vaccinations among patients. Holidays in November and December may also have increased patients’ desire to get vaccinated before travel.

We encountered a number of roadblocks that challenged our project, including difficulty identifying patients who were eligible for the vaccine, logistical vaccine administration challenges, and hesitancy among the inpatient population. Accurately identifying patients who were eligible for a vaccine in the EHR was especially challenging in the setting of rapidly changing guidelines regarding COVID-19 vaccination. In September 2021, the US Food and Drug Administration authorized the Pfizer booster for certain populations and later, in November 2021, for all adults. This meant that some fully vaccinated hospitalized patients (those with 2 doses) then qualified for an additional dose of the vaccine and received a dose during hospitalization. To determine the true vaccination rate, we obtained retrospective data that allowed us to track each vaccine administered. If a patient had already received 2 doses of the COVID-19 vaccine, the vaccine administered was counted as a booster and excluded from the calculation of the vaccination rate. Future PDSA cycles could include updating the EHR to capture the whole range of COVID-19 vaccination status (unvaccinated, partially vaccinated, fully vaccinated, fully vaccinated with 1 booster, fully vaccinated with 2 boosters).

We also encountered logistical challenges with the administration of the COVID-19 vaccine to hospitalized patients. During the intervention period, our pharmacy department required 5 COVID-19 vaccination orders before opening a vial and administering the vaccine doses in order to reduce waste. This policy may have limited our ability to vaccinate eligible inpatients because we were not always able to identify 5 patients simultaneously on the service who were eligible and consented to the vaccine.

The majority of patients who were interested in receiving COVID-19 vaccination had already been vaccinated in the outpatient setting. This fact made the inpatient internal medicine subset of patients a particularly challenging population to target, given their possible hesitancy regarding vaccination. By utilizing a multidisciplinary team and increasing communication of providers and nursing staff, we helped to increase the COVID-19 vaccination rates at our hospital from 10.7% to 15.4%.

Future Directions

Future interventions to consider include increasing the availability of other approved COVID-19 vaccines at our hospital besides the Pfizer-BioNTech vaccine. Furthermore, incorporating the vaccine into the admission order set would help initiate the vaccination process early in the hospital course. We encourage other institutions to utilize similar approaches to not only remind providers about inpatient vaccination, but also educate and encourage patients to receive the vaccine. These measures will help institutions increase inpatient COVID-19 vaccination rates in a high-risk population.

Corresponding author: Anna Rubin, MD, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC; [email protected]

Disclosures: None reported.

From the Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC.

Abstract

Objective: Inpatient vaccination initiatives are well described in the literature. During the COVID-19 pandemic, hospitals began administering COVID-19 vaccines to hospitalized patients. Although vaccination rates increased, there remained many unvaccinated patients despite community efforts. This quality improvement project aimed to increase the COVID-19 vaccination rates of hospitalized patients on the medicine service at the George Washington University Hospital (GWUH).

Methods: From November 2021 through February 2022, we conducted a Plan-Do-Study-Act (PDSA) cycle with 3 phases. Initial steps included gathering baseline data from the electronic health record and consulting stakeholders. The first 2 phases focused on educating housestaff on the availability, ordering process, and administration of the Pfizer vaccine. The third phase consisted of developing educational pamphlets for patients to be included in their admission packets.

Results: The baseline mean COVID-19 vaccination rate (August to October 2021) of eligible patients on the medicine service was 10.7%. In the months after we implemented the PDSA cycle (November 2021 to February 2022), the mean vaccination rate increased to 15.4%.

Conclusion: This quality improvement project implemented measures to increase administration of the Pfizer vaccine to eligible patients admitted to the medicine service at GWUH. The mean vaccination rate increased from 10.7% in the 3 months prior to implementation to 15.4% during the 4 months post implementation. Other measures to consider in the future include increasing the availability of other COVID-19 vaccines at our hospital and incorporating the vaccine into the admission order set to help facilitate vaccination early in the hospital course.

Keywords: housestaff, quality improvement, PDSA, COVID-19, BNT162b2 vaccine, patient education

Throughout the COVID-19 pandemic, case rates in the United States have fluctuated considerably, corresponding to epidemic waves. In 2021, US daily cases of COVID-19 peaked at nearly 300,000 in early January and reached a nadir of 8000 cases in mid-June.¹ In September 2021, new cases had increased to 200,000 per day due to the prevalence of the Delta variant.¹ Particularly with the emergence of new variants of SARS-CoV-2, vaccination efforts to limit the spread of infection and severity of illness are critical. Data have shown that 2 doses of the BNT162b2 vaccine (Pfizer-BioNTech) were largely protective against severe infection for approximately 6 months.^2,3 When we began this quality improvement (QI) project in September 2021, only 179 million Americans had been fully vaccinated, according to data from the Centers for Disease Control and Prevention, which is just over half of the US population.⁴ An electronic survey conducted in the United States with more than 5 million responses found that, of those who were hesitant about receiving the vaccine, 49% reported a fear of adverse effects and 48% reported a lack of trust in the vaccine.⁵

This QI project sought to target unvaccinated individuals admitted to the internal medicine inpatient service. Vaccinating hospitalized patients is especially important since they are sicker than the general population and at higher risk of having poor outcomes from COVID-19. Inpatient vaccine initiatives, such as administering influenza vaccine prior to discharge, have been successfully implemented in the past.⁶ One large COVID-19 vaccination program featured an admission order set to increase the rates of vaccination among hospitalized patients.⁷ Our QI project piloted a multidisciplinary approach involving the nursing staff, pharmacy, information technology (IT) department, and internal medicine housestaff to increase COVID-19 vaccination rates among hospitalized patients on the medical service. This project aimed to increase inpatient vaccination rates through interventions targeting both primary providers as well as the patients themselves.

Methods

Setting and Interventions

This project was conducted at the George Washington University Hospital (GWUH) in Washington, DC. The clinicians involved in the study were the internal medicine housestaff, and the patients included were adults admitted to the resident medicine ward teams. The project was exempt by the institutional review board and did not require informed consent.

The quality improvement initiative had 3 phases, each featuring a different intervention (Table 1). The first phase involved sending a weekly announcement (via email and a secure health care messaging app) to current residents rotating on the inpatient medicine service. The announcement contained information regarding COVID-19 vaccine availability at the hospital, instructions on ordering the vaccine, and the process of coordinating with pharmacy to facilitate vaccine administration. Thereafter, residents were educated on the process of giving a COVID-19 vaccine to a patient from start to finish. Due to the nature of the residency schedule, different housestaff members rotated in and out of the medicine wards during the intervention periods. The weekly email was sent to the entire internal medicine housestaff, informing all residents about the QI project, while the weekly secure messages served as reminders and were only sent to residents currently on the medicine wards.

In the second phase, we posted paper flyers throughout the hospital to remind housestaff to give the vaccine and again educate them on the process of ordering the vaccine. For the third intervention, a COVID-19 vaccine educational pamphlet was developed for distribution to inpatients at GWUH. The pamphlet included information on vaccine efficacy, safety, side effects, and eligibility. The pamphlet was incorporated in the admission packet that every patient receives upon admission to the hospital. The patients reviewed the pamphlets with nursing staff, who would answer any questions, with residents available to discuss any outstanding concerns.

Measures and Data Gathering

The primary endpoint of the study was inpatient vaccination rate, defined as the number of COVID-19 vaccines administered divided by the number of patients eligible to receive a vaccine (not fully vaccinated). During initial triage, nursing staff documented vaccination status in the electronic health record (EHR), checking a box in a data entry form if a patient had received 0, 1, or 2 doses of the COVID-19 vaccine. The GWUH IT department generated data from this form to determine the number of patients eligible to receive a COVID-19 vaccine. Data were extracted from the medication administration record in the EHR to determine the number of vaccines that were administered to patients during their hospitalization on the inpatient medical service. Each month, the IT department extracted data for the number of eligible patients and the number of vaccines administered. This yielded the monthly vaccination rates. The monthly vaccination rates in the period prior to starting the QI initiative were compared to the rates in the period after the interventions were implemented.

Of note, during the course of this project, patients became eligible for a third COVID-19 vaccine (booster). We decided to continue with the original aim of vaccinating adults who had only received 0 or 1 dose of the vaccine. Therefore, the eligibility criteria remained the same throughout the study. We obtained retrospective data to ensure that the vaccines being counted toward the vaccination rate were vaccines given to patients not yet fully vaccinated and not vaccines given as boosters.

Results

From August to October 2021, the baseline average monthly vaccination rate of patients on the medicine service who were eligible to receive a COVID-19 vaccine was 10.7%. After the first intervention, the vaccination rate increased to 19.7% in November 2021 (Table 2). The second intervention yielded vaccination rates of 11.4% and 11.8% in December 2021 and January 2022, respectively. During the final phase in February 2022, the vaccination rate was 19.0%. At the conclusion of the study, the mean vaccination rate for the intervention months was 15.4% (Figure 1). Process stability and variation are demonstrated with a statistical process control chart (Figure 2).

For this housestaff-driven QI project, we implemented an inpatient COVID-19 vaccination campaign consisting of 3 phases that targeted both providers and patients. During the intervention period, we observed an increased vaccination rate compared to the period just prior to implementation of the QI project. While our interventions may certainly have boosted vaccination rates, we understand other variables could have contributed to increased rates as well. The emergence of variants in the United States, such as omicron in December 2021,⁸ could have precipitated a demand for vaccinations among patients. Holidays in November and December may also have increased patients’ desire to get vaccinated before travel.

We encountered a number of roadblocks that challenged our project, including difficulty identifying patients who were eligible for the vaccine, logistical vaccine administration challenges, and hesitancy among the inpatient population. Accurately identifying patients who were eligible for a vaccine in the EHR was especially challenging in the setting of rapidly changing guidelines regarding COVID-19 vaccination. In September 2021, the US Food and Drug Administration authorized the Pfizer booster for certain populations and later, in November 2021, for all adults. This meant that some fully vaccinated hospitalized patients (those with 2 doses) then qualified for an additional dose of the vaccine and received a dose during hospitalization. To determine the true vaccination rate, we obtained retrospective data that allowed us to track each vaccine administered. If a patient had already received 2 doses of the COVID-19 vaccine, the vaccine administered was counted as a booster and excluded from the calculation of the vaccination rate. Future PDSA cycles could include updating the EHR to capture the whole range of COVID-19 vaccination status (unvaccinated, partially vaccinated, fully vaccinated, fully vaccinated with 1 booster, fully vaccinated with 2 boosters).

We also encountered logistical challenges with the administration of the COVID-19 vaccine to hospitalized patients. During the intervention period, our pharmacy department required 5 COVID-19 vaccination orders before opening a vial and administering the vaccine doses in order to reduce waste. This policy may have limited our ability to vaccinate eligible inpatients because we were not always able to identify 5 patients simultaneously on the service who were eligible and consented to the vaccine.

The majority of patients who were interested in receiving COVID-19 vaccination had already been vaccinated in the outpatient setting. This fact made the inpatient internal medicine subset of patients a particularly challenging population to target, given their possible hesitancy regarding vaccination. By utilizing a multidisciplinary team and increasing communication of providers and nursing staff, we helped to increase the COVID-19 vaccination rates at our hospital from 10.7% to 15.4%.

Future Directions

Future interventions to consider include increasing the availability of other approved COVID-19 vaccines at our hospital besides the Pfizer-BioNTech vaccine. Furthermore, incorporating the vaccine into the admission order set would help initiate the vaccination process early in the hospital course. We encourage other institutions to utilize similar approaches to not only remind providers about inpatient vaccination, but also educate and encourage patients to receive the vaccine. These measures will help institutions increase inpatient COVID-19 vaccination rates in a high-risk population.

Corresponding author: Anna Rubin, MD, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC; [email protected]

Disclosures: None reported.

From the Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC.

Abstract

Objective: Inpatient vaccination initiatives are well described in the literature. During the COVID-19 pandemic, hospitals began administering COVID-19 vaccines to hospitalized patients. Although vaccination rates increased, there remained many unvaccinated patients despite community efforts. This quality improvement project aimed to increase the COVID-19 vaccination rates of hospitalized patients on the medicine service at the George Washington University Hospital (GWUH).

Methods: From November 2021 through February 2022, we conducted a Plan-Do-Study-Act (PDSA) cycle with 3 phases. Initial steps included gathering baseline data from the electronic health record and consulting stakeholders. The first 2 phases focused on educating housestaff on the availability, ordering process, and administration of the Pfizer vaccine. The third phase consisted of developing educational pamphlets for patients to be included in their admission packets.

Results: The baseline mean COVID-19 vaccination rate (August to October 2021) of eligible patients on the medicine service was 10.7%. In the months after we implemented the PDSA cycle (November 2021 to February 2022), the mean vaccination rate increased to 15.4%.

Conclusion: This quality improvement project implemented measures to increase administration of the Pfizer vaccine to eligible patients admitted to the medicine service at GWUH. The mean vaccination rate increased from 10.7% in the 3 months prior to implementation to 15.4% during the 4 months post implementation. Other measures to consider in the future include increasing the availability of other COVID-19 vaccines at our hospital and incorporating the vaccine into the admission order set to help facilitate vaccination early in the hospital course.

Keywords: housestaff, quality improvement, PDSA, COVID-19, BNT162b2 vaccine, patient education

Throughout the COVID-19 pandemic, case rates in the United States have fluctuated considerably, corresponding to epidemic waves. In 2021, US daily cases of COVID-19 peaked at nearly 300,000 in early January and reached a nadir of 8000 cases in mid-June.¹ In September 2021, new cases had increased to 200,000 per day due to the prevalence of the Delta variant.¹ Particularly with the emergence of new variants of SARS-CoV-2, vaccination efforts to limit the spread of infection and severity of illness are critical. Data have shown that 2 doses of the BNT162b2 vaccine (Pfizer-BioNTech) were largely protective against severe infection for approximately 6 months.^2,3 When we began this quality improvement (QI) project in September 2021, only 179 million Americans had been fully vaccinated, according to data from the Centers for Disease Control and Prevention, which is just over half of the US population.⁴ An electronic survey conducted in the United States with more than 5 million responses found that, of those who were hesitant about receiving the vaccine, 49% reported a fear of adverse effects and 48% reported a lack of trust in the vaccine.⁵

This QI project sought to target unvaccinated individuals admitted to the internal medicine inpatient service. Vaccinating hospitalized patients is especially important since they are sicker than the general population and at higher risk of having poor outcomes from COVID-19. Inpatient vaccine initiatives, such as administering influenza vaccine prior to discharge, have been successfully implemented in the past.⁶ One large COVID-19 vaccination program featured an admission order set to increase the rates of vaccination among hospitalized patients.⁷ Our QI project piloted a multidisciplinary approach involving the nursing staff, pharmacy, information technology (IT) department, and internal medicine housestaff to increase COVID-19 vaccination rates among hospitalized patients on the medical service. This project aimed to increase inpatient vaccination rates through interventions targeting both primary providers as well as the patients themselves.

Methods

Setting and Interventions

This project was conducted at the George Washington University Hospital (GWUH) in Washington, DC. The clinicians involved in the study were the internal medicine housestaff, and the patients included were adults admitted to the resident medicine ward teams. The project was exempt by the institutional review board and did not require informed consent.

The quality improvement initiative had 3 phases, each featuring a different intervention (Table 1). The first phase involved sending a weekly announcement (via email and a secure health care messaging app) to current residents rotating on the inpatient medicine service. The announcement contained information regarding COVID-19 vaccine availability at the hospital, instructions on ordering the vaccine, and the process of coordinating with pharmacy to facilitate vaccine administration. Thereafter, residents were educated on the process of giving a COVID-19 vaccine to a patient from start to finish. Due to the nature of the residency schedule, different housestaff members rotated in and out of the medicine wards during the intervention periods. The weekly email was sent to the entire internal medicine housestaff, informing all residents about the QI project, while the weekly secure messages served as reminders and were only sent to residents currently on the medicine wards.

In the second phase, we posted paper flyers throughout the hospital to remind housestaff to give the vaccine and again educate them on the process of ordering the vaccine. For the third intervention, a COVID-19 vaccine educational pamphlet was developed for distribution to inpatients at GWUH. The pamphlet included information on vaccine efficacy, safety, side effects, and eligibility. The pamphlet was incorporated in the admission packet that every patient receives upon admission to the hospital. The patients reviewed the pamphlets with nursing staff, who would answer any questions, with residents available to discuss any outstanding concerns.

Measures and Data Gathering

The primary endpoint of the study was inpatient vaccination rate, defined as the number of COVID-19 vaccines administered divided by the number of patients eligible to receive a vaccine (not fully vaccinated). During initial triage, nursing staff documented vaccination status in the electronic health record (EHR), checking a box in a data entry form if a patient had received 0, 1, or 2 doses of the COVID-19 vaccine. The GWUH IT department generated data from this form to determine the number of patients eligible to receive a COVID-19 vaccine. Data were extracted from the medication administration record in the EHR to determine the number of vaccines that were administered to patients during their hospitalization on the inpatient medical service. Each month, the IT department extracted data for the number of eligible patients and the number of vaccines administered. This yielded the monthly vaccination rates. The monthly vaccination rates in the period prior to starting the QI initiative were compared to the rates in the period after the interventions were implemented.

Of note, during the course of this project, patients became eligible for a third COVID-19 vaccine (booster). We decided to continue with the original aim of vaccinating adults who had only received 0 or 1 dose of the vaccine. Therefore, the eligibility criteria remained the same throughout the study. We obtained retrospective data to ensure that the vaccines being counted toward the vaccination rate were vaccines given to patients not yet fully vaccinated and not vaccines given as boosters.

Results

From August to October 2021, the baseline average monthly vaccination rate of patients on the medicine service who were eligible to receive a COVID-19 vaccine was 10.7%. After the first intervention, the vaccination rate increased to 19.7% in November 2021 (Table 2). The second intervention yielded vaccination rates of 11.4% and 11.8% in December 2021 and January 2022, respectively. During the final phase in February 2022, the vaccination rate was 19.0%. At the conclusion of the study, the mean vaccination rate for the intervention months was 15.4% (Figure 1). Process stability and variation are demonstrated with a statistical process control chart (Figure 2).

For this housestaff-driven QI project, we implemented an inpatient COVID-19 vaccination campaign consisting of 3 phases that targeted both providers and patients. During the intervention period, we observed an increased vaccination rate compared to the period just prior to implementation of the QI project. While our interventions may certainly have boosted vaccination rates, we understand other variables could have contributed to increased rates as well. The emergence of variants in the United States, such as omicron in December 2021,⁸ could have precipitated a demand for vaccinations among patients. Holidays in November and December may also have increased patients’ desire to get vaccinated before travel.

We encountered a number of roadblocks that challenged our project, including difficulty identifying patients who were eligible for the vaccine, logistical vaccine administration challenges, and hesitancy among the inpatient population. Accurately identifying patients who were eligible for a vaccine in the EHR was especially challenging in the setting of rapidly changing guidelines regarding COVID-19 vaccination. In September 2021, the US Food and Drug Administration authorized the Pfizer booster for certain populations and later, in November 2021, for all adults. This meant that some fully vaccinated hospitalized patients (those with 2 doses) then qualified for an additional dose of the vaccine and received a dose during hospitalization. To determine the true vaccination rate, we obtained retrospective data that allowed us to track each vaccine administered. If a patient had already received 2 doses of the COVID-19 vaccine, the vaccine administered was counted as a booster and excluded from the calculation of the vaccination rate. Future PDSA cycles could include updating the EHR to capture the whole range of COVID-19 vaccination status (unvaccinated, partially vaccinated, fully vaccinated, fully vaccinated with 1 booster, fully vaccinated with 2 boosters).

We also encountered logistical challenges with the administration of the COVID-19 vaccine to hospitalized patients. During the intervention period, our pharmacy department required 5 COVID-19 vaccination orders before opening a vial and administering the vaccine doses in order to reduce waste. This policy may have limited our ability to vaccinate eligible inpatients because we were not always able to identify 5 patients simultaneously on the service who were eligible and consented to the vaccine.

The majority of patients who were interested in receiving COVID-19 vaccination had already been vaccinated in the outpatient setting. This fact made the inpatient internal medicine subset of patients a particularly challenging population to target, given their possible hesitancy regarding vaccination. By utilizing a multidisciplinary team and increasing communication of providers and nursing staff, we helped to increase the COVID-19 vaccination rates at our hospital from 10.7% to 15.4%.

Future Directions

Future interventions to consider include increasing the availability of other approved COVID-19 vaccines at our hospital besides the Pfizer-BioNTech vaccine. Furthermore, incorporating the vaccine into the admission order set would help initiate the vaccination process early in the hospital course. We encourage other institutions to utilize similar approaches to not only remind providers about inpatient vaccination, but also educate and encourage patients to receive the vaccine. These measures will help institutions increase inpatient COVID-19 vaccination rates in a high-risk population.

Corresponding author: Anna Rubin, MD, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC; [email protected]

Disclosures: None reported.

From the T1D Exchange, Boston, MA (Ann Mungmode, Nicole Rioles, Jesse Cases, Dr. Ebekozien); The Leona M. and Harry B. Hemsley Charitable Trust, New York, NY (Laurel Koester); and the University of Mississippi School of Population Health, Jackson, MS (Dr. Ebekozien).

Abstract

There have been remarkable innovations in diabetes management since the start of the COVID-19 pandemic, but these groundbreaking innovations are drawing limited focus as the field focuses on the adverse impact of the pandemic on patients with diabetes. This article reviews select population health innovations in diabetes management that have become available over the past 2 years of the COVID-19 pandemic from the perspective of the T1D Exchange Quality Improvement Collaborative, a learning health network that focuses on improving care and outcomes for individuals with type 1 diabetes (T1D). Such innovations include expanded telemedicine access, collection of real-world data, machine learning and artificial intelligence, and new diabetes medications and devices. In addition, multiple innovative studies have been undertaken to explore contributors to health inequities in diabetes, and advocacy efforts for specific populations have been successful. Looking to the future, work is required to explore additional health equity successes that do not further exacerbate inequities and to look for additional innovative ways to engage people with T1D in their health care through conversations on social determinants of health and societal structures.

Keywords: type 1 diabetes, learning health network, continuous glucose monitoring, health equity

One in 10 people in the United States has diabetes.¹ Diabetes is the nation’s second leading cause of death, costing the US health system more than $300 billion annually.² The COVID-19 pandemic presented additional health burdens for people living with diabetes. For example, preexisting diabetes was identified as a risk factor for COVID-19–associated morbidity and mortality.^3,4 Over the past 2 years, there have been remarkable innovations in diabetes management, including stem cell therapy and new medication options. Additionally, improved technology solutions have aided in diabetes management through continuous glucose monitors (CGM), smart insulin pens, advanced hybrid closed-loop systems, and continuous subcutaneous insulin injections.^5,6 Unfortunately, these groundbreaking innovations are drawing limited focus, as the field is rightfully focused on the adverse impact of the pandemic on patients with diabetes.

Learning health networks like the T1D Exchange Quality Improvement Collaborative (T1DX-QI) have implemented some of these innovative solutions to improve care for people with diabetes.⁷ T1DX-QI has more than 50 data-sharing endocrinology centers that care for over 75,000 people with diabetes across the United States (Figure 1). Centers participating in the T1DX-QI use quality improvement (QI) and implementation science methods to quickly translate research into evidence-based clinical practice. T1DX-QI leads diabetes population health and health system research and supports widespread transferability across health care organizations through regular collaborative calls, conferences, and case study documentation.⁸

In this review, we summarize impactful population health innovations in diabetes management that have become available over the past 2 years of the COVID-19 pandemic from the perspective of T1DX-QI (see Figure 2 for relevant definitions). This review is limited in scope and is not meant to be an exhaustive list of innovations. The review also reflects significant changes from the perspective of academic diabetes centers, which may not apply to rural or primary care diabetes practices.

The first (A.M.), second (H.H.), and senior (O.E.) authors conducted a scoping review of published literature using terms related to diabetes, population health, and innovation on PubMed Central and Google Scholar for the period March 2020 to June 2022. To complement the review, A.M. and O.E. also reviewed abstracts from presentations at major international diabetes conferences, including the American Diabetes Association (ADA), the International Society for Pediatric and Adolescent Diabetes (ISPAD), the T1DX-QI Learning Session Conference, and the Advanced Technologies & Treatments for Diabetes (ATTD) 2020 to 2022 conferences.^9-14 The authors also searched FDA.gov and ClinicalTrials.gov for relevant insights. A.M. and O.E. sorted the reviewed literature into major themes (Figure 3) from the population health improvement perspective of the T1DX-QI.

Population Health Innovations in Diabetes Management

Expansion of Telemedicine Access

Telemedicine is cost-effective for patients with diabetes,¹⁵ including those with complex cases.¹⁶ Before the COVID-19 pandemic, telemedicine and virtual care were rare in diabetes management. However, the pandemic offered a new opportunity to expand the practice of telemedicine in diabetes management. A study from the T1DX-QI showed that telemedicine visits grew from comprising <1% of visits pre-pandemic (December 2019) to 95.2% during the pandemic (August 2020).¹⁷ Additional studies, like those conducted by Phillip et al,¹⁸ confirmed the noninferiority of telemedicine practice for patients with diabetes.Telemedicine was also found to be an effective strategy to educate patients on the use of diabetes technologies.¹⁹

Real-World Data and Disease Surveillance

As the COVID-19 pandemic exacerbated outcomes for people with type 1 diabetes (T1D), a need arose to understand the immediate effects of the pandemic on people with T1D through real-world data and disease surveillance. In April 2020, the T1DX-QI initiated a multicenter surveillance study to collect data and analyze the impact of COVID-19 on people with T1D. The existing health collaborative served as a springboard for robust surveillance study, documenting numerous works on the effects of COVID-19.^3,4,20-28 Other investigators also embraced the power of real-world surveillance and real-world data.^29,30

Big Data, Machine Learning, and Artificial Intelligence

The past 2 years have seen a shift toward embracing the incredible opportunity to tap the large volume of data generated from routine care for practical insights.³¹ In particular, researchers have demonstrated the widespread application of machine learning and artificial intelligence to improve diabetes management.³² The T1DX-QI also harnessed the growing power of big data by expanding the functionality of innovative benchmarking software. The T1DX QI Portal uses electronic medical record data of diabetes patients for clinic-to-clinic benchmarking and data analysis, using business intelligence solutions.³³

Health Equity

While inequities across various health outcomes have been well documented for years,³⁴ the COVID-19 pandemic further exaggerated racial/ethnic health inequities in T1D.^23,35 In response, several organizations have outlined specific strategies to address these health inequities. Emboldened by the pandemic, the T1DX-QI announced a multipronged approach to address health inequities among patients with T1D through the Health Equity Advancement Lab (HEAL).³⁶ One of HEAL’s main components is using real-world data to champion population-level insights and demonstrate progress in QI efforts.

Multiple innovative studies have been undertaken to explore contributors to health inequities in diabetes, and these studies are expanding our understanding of the chasm.³⁷ There have also been innovative solutions to addressing these inequities, with multiple studies published over the past 2 years.³⁸ A source of inequity among patients with T1D is the lack of representation of racial/ethnic minorities with T1D in clinical trials.³⁹ The T1DX-QI suggests that the equity-adapted framework for QI can be applied by research leaders to support trial diversity and representation, ensuring future device innovations are meaningful for all people with T1D.⁴⁰

Diabetes Devices

Glucose monitoring and insulin therapy are vital tools to support individuals living with T1D, and devices such as CGM and insulin pumps have become the standard of care for diabetes management (Table).⁴¹ Innovations in diabetes technology and device access are imperative for a chronic disease with no cure.

The COVID-19 pandemic created an opportunity to increase access to diabetes devices in inpatient settings. In 2020, the US Food and Drug Administration expanded the use of CGM to support remote monitoring of patients in inpatient hospital settings, simultaneously supporting the glucose monitoring needs of patients with T1D and reducing COVID-19 transmission through reduced patient-clinician contact.⁴² This effort has been expanded and will continue in 2022 and beyond,⁴³ and aligns with the growing consensus that supports patients wearing both CGMs and insulin pumps in ambulatory settings to improve patient health outcomes.⁴⁴

Since 2020, innovations in diabetes technology have improved and increased the variety of options available to people with T1D and made them easier to use (Table). New, advanced hybrid closed-loop systems have progressed to offer Bluetooth features, including automatic software upgrades, tubeless systems, and the ability to allow parents to use their smartphones to bolus for children.^45-47 The next big step in insulin delivery innovation is the release of functioning, fully closed loop systems, of which several are currently in clinical trials.⁴⁸ These systems support reduced hypoglycemia and improved time in range.⁴⁹

Additional innovations in insulin delivery have improved the user experience and expanded therapeutic options, including a variety of smart insulin pens complete with dosing logs^50,51 and even a patch to deliver insulin without the burden of injections.⁵² As barriers to diabetes technology persist,⁵³ innovations in alternate insulin delivery provide people with T1D more options to align with their personal access and technology preferences.

Innovations in CGM address cited barriers to their use, including size or overall wear.^53-55 CGMs released in the past few years are smaller in physical size, have longer durations of time between changings, are more accurate, and do not require calibrations for accuracy.

New Diabetes Medications

Many new medications and therapeutic advances have become available in the past 2 years.⁵⁶ Additionally, more medications are being tested as adjunct therapies to support glycemic management in patients with T1D, including metformin, sodium-glucose cotransporter 1 and 2 inhibitors, pramlintide, glucagon-like polypeptide-1 analogs, and glucagon receptor agonists.⁵⁷ Other recent advances include stem cell replacement therapy for patients with T1D.⁵⁸ The ultra-long-acting biosimilar insulins are one medical innovation that has been stalled, rather than propelled, during the COVID-19 pandemic.⁵⁹

Diabetes Policy Advocacy

People with T1D require insulin to survive. The cost of insulin has increased in recent years, with some studies citing a 64% to 100% increase in the past decade.^60,61 In fact, 1 in 4 insulin users report that cost has impacted their insulin use, including rationing their insulin.⁶² Lockdowns during the COVID-19 pandemic stressed US families financially, increasing the urgency for insulin cost caps.

Although the COVID-19 pandemic halted national conversations on drug financing,⁶³ advocacy efforts have succeeded for specific populations. The new Medicare Part D Senior Savings Model will cap the cost of insulin at $35 for a 30-day supply,⁶⁴ and 20 states passed legislation capping insulin pricing.⁶² Efforts to codify national cost caps are under debate, including the passage of the Affordable Insulin Now Act, which passed the House in March 2022 and is currently under review in the Senate.⁶⁵

Funders and industry partners play a crucial role in leading and supporting innovations that improve the lives of people with T1D and reduce society’s costs of living with the disease. Data infrastructure is critical to supporting population health. While building the data infrastructure to support population health is both time- and resource-intensive, private foundations such as Helmsley are uniquely positioned—and have a responsibility—to take large, informed risks to help reach all communities with T1D.

The T1DX-QI is the largest source of population health data on T1D in the United States and is becoming the premiere data authority on its incidence, prevalence, and outcomes. The T1DX-QI enables a robust understanding of T1D-related health trends at the population level, as well as trends among clinics and providers. Pilot centers in the T1DX-QI have reported reductions in patients’ A1c and acute diabetes-related events, as well as improvements in device usage and depression screening. The ability to capture changes speaks to the promise and power of these data to demonstrate the clinical impact of QI interventions and to support the spread of best practices and learnings across health systems.

Additional philanthropic efforts have supported innovation in the last 2 years. For example, the JDRF, a nonprofit philanthropic equity firm, has supported efforts in developing artificial pancreas systems and cell therapies currently in clinical trials like teplizumab, a drug that has demonstrated delayed onset of T1D through JDRF’s T1D Fund.⁶⁶ Industry partners also have an opportunity for significant influence in this area, as they continue to fund meaningful projects to advance care for people with T1D.⁶⁷

Conclusion

We are optimistic that the innovations summarized here describe a shift in the tide of equitable T1D outcomes; however, future work is required to explore additional health equity successes that do not further exacerbate inequities. We also see further opportunities for innovative ways to engage people with T1D in their health care through conversations on social determinants of health and societal structures.

Corresponding author: Ann Mungmode, MPH, T1D Exchange, 11 Avenue de Lafayette, Boston, MA 02111; Email: [email protected]

Disclosures: Dr. Ebekozien serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for the Medtronic Advisory Board and received research grants from Medtronic Diabetes, Eli Lilly, and Dexcom.

Funding: The T1DX-QI is funded by The Leona M. and Harry B. Hemsley Charitable Trust.

From the T1D Exchange, Boston, MA (Ann Mungmode, Nicole Rioles, Jesse Cases, Dr. Ebekozien); The Leona M. and Harry B. Hemsley Charitable Trust, New York, NY (Laurel Koester); and the University of Mississippi School of Population Health, Jackson, MS (Dr. Ebekozien).

Abstract

There have been remarkable innovations in diabetes management since the start of the COVID-19 pandemic, but these groundbreaking innovations are drawing limited focus as the field focuses on the adverse impact of the pandemic on patients with diabetes. This article reviews select population health innovations in diabetes management that have become available over the past 2 years of the COVID-19 pandemic from the perspective of the T1D Exchange Quality Improvement Collaborative, a learning health network that focuses on improving care and outcomes for individuals with type 1 diabetes (T1D). Such innovations include expanded telemedicine access, collection of real-world data, machine learning and artificial intelligence, and new diabetes medications and devices. In addition, multiple innovative studies have been undertaken to explore contributors to health inequities in diabetes, and advocacy efforts for specific populations have been successful. Looking to the future, work is required to explore additional health equity successes that do not further exacerbate inequities and to look for additional innovative ways to engage people with T1D in their health care through conversations on social determinants of health and societal structures.

Keywords: type 1 diabetes, learning health network, continuous glucose monitoring, health equity

One in 10 people in the United States has diabetes.¹ Diabetes is the nation’s second leading cause of death, costing the US health system more than $300 billion annually.² The COVID-19 pandemic presented additional health burdens for people living with diabetes. For example, preexisting diabetes was identified as a risk factor for COVID-19–associated morbidity and mortality.^3,4 Over the past 2 years, there have been remarkable innovations in diabetes management, including stem cell therapy and new medication options. Additionally, improved technology solutions have aided in diabetes management through continuous glucose monitors (CGM), smart insulin pens, advanced hybrid closed-loop systems, and continuous subcutaneous insulin injections.^5,6 Unfortunately, these groundbreaking innovations are drawing limited focus, as the field is rightfully focused on the adverse impact of the pandemic on patients with diabetes.

Learning health networks like the T1D Exchange Quality Improvement Collaborative (T1DX-QI) have implemented some of these innovative solutions to improve care for people with diabetes.⁷ T1DX-QI has more than 50 data-sharing endocrinology centers that care for over 75,000 people with diabetes across the United States (Figure 1). Centers participating in the T1DX-QI use quality improvement (QI) and implementation science methods to quickly translate research into evidence-based clinical practice. T1DX-QI leads diabetes population health and health system research and supports widespread transferability across health care organizations through regular collaborative calls, conferences, and case study documentation.⁸

In this review, we summarize impactful population health innovations in diabetes management that have become available over the past 2 years of the COVID-19 pandemic from the perspective of T1DX-QI (see Figure 2 for relevant definitions). This review is limited in scope and is not meant to be an exhaustive list of innovations. The review also reflects significant changes from the perspective of academic diabetes centers, which may not apply to rural or primary care diabetes practices.

The first (A.M.), second (H.H.), and senior (O.E.) authors conducted a scoping review of published literature using terms related to diabetes, population health, and innovation on PubMed Central and Google Scholar for the period March 2020 to June 2022. To complement the review, A.M. and O.E. also reviewed abstracts from presentations at major international diabetes conferences, including the American Diabetes Association (ADA), the International Society for Pediatric and Adolescent Diabetes (ISPAD), the T1DX-QI Learning Session Conference, and the Advanced Technologies & Treatments for Diabetes (ATTD) 2020 to 2022 conferences.^9-14 The authors also searched FDA.gov and ClinicalTrials.gov for relevant insights. A.M. and O.E. sorted the reviewed literature into major themes (Figure 3) from the population health improvement perspective of the T1DX-QI.

Population Health Innovations in Diabetes Management

Expansion of Telemedicine Access

Telemedicine is cost-effective for patients with diabetes,¹⁵ including those with complex cases.¹⁶ Before the COVID-19 pandemic, telemedicine and virtual care were rare in diabetes management. However, the pandemic offered a new opportunity to expand the practice of telemedicine in diabetes management. A study from the T1DX-QI showed that telemedicine visits grew from comprising <1% of visits pre-pandemic (December 2019) to 95.2% during the pandemic (August 2020).¹⁷ Additional studies, like those conducted by Phillip et al,¹⁸ confirmed the noninferiority of telemedicine practice for patients with diabetes.Telemedicine was also found to be an effective strategy to educate patients on the use of diabetes technologies.¹⁹

Real-World Data and Disease Surveillance

As the COVID-19 pandemic exacerbated outcomes for people with type 1 diabetes (T1D), a need arose to understand the immediate effects of the pandemic on people with T1D through real-world data and disease surveillance. In April 2020, the T1DX-QI initiated a multicenter surveillance study to collect data and analyze the impact of COVID-19 on people with T1D. The existing health collaborative served as a springboard for robust surveillance study, documenting numerous works on the effects of COVID-19.^3,4,20-28 Other investigators also embraced the power of real-world surveillance and real-world data.^29,30

Big Data, Machine Learning, and Artificial Intelligence

The past 2 years have seen a shift toward embracing the incredible opportunity to tap the large volume of data generated from routine care for practical insights.³¹ In particular, researchers have demonstrated the widespread application of machine learning and artificial intelligence to improve diabetes management.³² The T1DX-QI also harnessed the growing power of big data by expanding the functionality of innovative benchmarking software. The T1DX QI Portal uses electronic medical record data of diabetes patients for clinic-to-clinic benchmarking and data analysis, using business intelligence solutions.³³

Health Equity

While inequities across various health outcomes have been well documented for years,³⁴ the COVID-19 pandemic further exaggerated racial/ethnic health inequities in T1D.^23,35 In response, several organizations have outlined specific strategies to address these health inequities. Emboldened by the pandemic, the T1DX-QI announced a multipronged approach to address health inequities among patients with T1D through the Health Equity Advancement Lab (HEAL).³⁶ One of HEAL’s main components is using real-world data to champion population-level insights and demonstrate progress in QI efforts.

Multiple innovative studies have been undertaken to explore contributors to health inequities in diabetes, and these studies are expanding our understanding of the chasm.³⁷ There have also been innovative solutions to addressing these inequities, with multiple studies published over the past 2 years.³⁸ A source of inequity among patients with T1D is the lack of representation of racial/ethnic minorities with T1D in clinical trials.³⁹ The T1DX-QI suggests that the equity-adapted framework for QI can be applied by research leaders to support trial diversity and representation, ensuring future device innovations are meaningful for all people with T1D.⁴⁰

Diabetes Devices

Glucose monitoring and insulin therapy are vital tools to support individuals living with T1D, and devices such as CGM and insulin pumps have become the standard of care for diabetes management (Table).⁴¹ Innovations in diabetes technology and device access are imperative for a chronic disease with no cure.

The COVID-19 pandemic created an opportunity to increase access to diabetes devices in inpatient settings. In 2020, the US Food and Drug Administration expanded the use of CGM to support remote monitoring of patients in inpatient hospital settings, simultaneously supporting the glucose monitoring needs of patients with T1D and reducing COVID-19 transmission through reduced patient-clinician contact.⁴² This effort has been expanded and will continue in 2022 and beyond,⁴³ and aligns with the growing consensus that supports patients wearing both CGMs and insulin pumps in ambulatory settings to improve patient health outcomes.⁴⁴

Since 2020, innovations in diabetes technology have improved and increased the variety of options available to people with T1D and made them easier to use (Table). New, advanced hybrid closed-loop systems have progressed to offer Bluetooth features, including automatic software upgrades, tubeless systems, and the ability to allow parents to use their smartphones to bolus for children.^45-47 The next big step in insulin delivery innovation is the release of functioning, fully closed loop systems, of which several are currently in clinical trials.⁴⁸ These systems support reduced hypoglycemia and improved time in range.⁴⁹

Additional innovations in insulin delivery have improved the user experience and expanded therapeutic options, including a variety of smart insulin pens complete with dosing logs^50,51 and even a patch to deliver insulin without the burden of injections.⁵² As barriers to diabetes technology persist,⁵³ innovations in alternate insulin delivery provide people with T1D more options to align with their personal access and technology preferences.

Innovations in CGM address cited barriers to their use, including size or overall wear.^53-55 CGMs released in the past few years are smaller in physical size, have longer durations of time between changings, are more accurate, and do not require calibrations for accuracy.

New Diabetes Medications

Many new medications and therapeutic advances have become available in the past 2 years.⁵⁶ Additionally, more medications are being tested as adjunct therapies to support glycemic management in patients with T1D, including metformin, sodium-glucose cotransporter 1 and 2 inhibitors, pramlintide, glucagon-like polypeptide-1 analogs, and glucagon receptor agonists.⁵⁷ Other recent advances include stem cell replacement therapy for patients with T1D.⁵⁸ The ultra-long-acting biosimilar insulins are one medical innovation that has been stalled, rather than propelled, during the COVID-19 pandemic.⁵⁹

Diabetes Policy Advocacy

People with T1D require insulin to survive. The cost of insulin has increased in recent years, with some studies citing a 64% to 100% increase in the past decade.^60,61 In fact, 1 in 4 insulin users report that cost has impacted their insulin use, including rationing their insulin.⁶² Lockdowns during the COVID-19 pandemic stressed US families financially, increasing the urgency for insulin cost caps.

Although the COVID-19 pandemic halted national conversations on drug financing,⁶³ advocacy efforts have succeeded for specific populations. The new Medicare Part D Senior Savings Model will cap the cost of insulin at $35 for a 30-day supply,⁶⁴ and 20 states passed legislation capping insulin pricing.⁶² Efforts to codify national cost caps are under debate, including the passage of the Affordable Insulin Now Act, which passed the House in March 2022 and is currently under review in the Senate.⁶⁵

Funders and industry partners play a crucial role in leading and supporting innovations that improve the lives of people with T1D and reduce society’s costs of living with the disease. Data infrastructure is critical to supporting population health. While building the data infrastructure to support population health is both time- and resource-intensive, private foundations such as Helmsley are uniquely positioned—and have a responsibility—to take large, informed risks to help reach all communities with T1D.

The T1DX-QI is the largest source of population health data on T1D in the United States and is becoming the premiere data authority on its incidence, prevalence, and outcomes. The T1DX-QI enables a robust understanding of T1D-related health trends at the population level, as well as trends among clinics and providers. Pilot centers in the T1DX-QI have reported reductions in patients’ A1c and acute diabetes-related events, as well as improvements in device usage and depression screening. The ability to capture changes speaks to the promise and power of these data to demonstrate the clinical impact of QI interventions and to support the spread of best practices and learnings across health systems.

Additional philanthropic efforts have supported innovation in the last 2 years. For example, the JDRF, a nonprofit philanthropic equity firm, has supported efforts in developing artificial pancreas systems and cell therapies currently in clinical trials like teplizumab, a drug that has demonstrated delayed onset of T1D through JDRF’s T1D Fund.⁶⁶ Industry partners also have an opportunity for significant influence in this area, as they continue to fund meaningful projects to advance care for people with T1D.⁶⁷

Conclusion

We are optimistic that the innovations summarized here describe a shift in the tide of equitable T1D outcomes; however, future work is required to explore additional health equity successes that do not further exacerbate inequities. We also see further opportunities for innovative ways to engage people with T1D in their health care through conversations on social determinants of health and societal structures.

Corresponding author: Ann Mungmode, MPH, T1D Exchange, 11 Avenue de Lafayette, Boston, MA 02111; Email: [email protected]

Disclosures: Dr. Ebekozien serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for the Medtronic Advisory Board and received research grants from Medtronic Diabetes, Eli Lilly, and Dexcom.

Funding: The T1DX-QI is funded by The Leona M. and Harry B. Hemsley Charitable Trust.

From the T1D Exchange, Boston, MA (Ann Mungmode, Nicole Rioles, Jesse Cases, Dr. Ebekozien); The Leona M. and Harry B. Hemsley Charitable Trust, New York, NY (Laurel Koester); and the University of Mississippi School of Population Health, Jackson, MS (Dr. Ebekozien).

Abstract

There have been remarkable innovations in diabetes management since the start of the COVID-19 pandemic, but these groundbreaking innovations are drawing limited focus as the field focuses on the adverse impact of the pandemic on patients with diabetes. This article reviews select population health innovations in diabetes management that have become available over the past 2 years of the COVID-19 pandemic from the perspective of the T1D Exchange Quality Improvement Collaborative, a learning health network that focuses on improving care and outcomes for individuals with type 1 diabetes (T1D). Such innovations include expanded telemedicine access, collection of real-world data, machine learning and artificial intelligence, and new diabetes medications and devices. In addition, multiple innovative studies have been undertaken to explore contributors to health inequities in diabetes, and advocacy efforts for specific populations have been successful. Looking to the future, work is required to explore additional health equity successes that do not further exacerbate inequities and to look for additional innovative ways to engage people with T1D in their health care through conversations on social determinants of health and societal structures.

Keywords: type 1 diabetes, learning health network, continuous glucose monitoring, health equity

One in 10 people in the United States has diabetes.¹ Diabetes is the nation’s second leading cause of death, costing the US health system more than $300 billion annually.² The COVID-19 pandemic presented additional health burdens for people living with diabetes. For example, preexisting diabetes was identified as a risk factor for COVID-19–associated morbidity and mortality.^3,4 Over the past 2 years, there have been remarkable innovations in diabetes management, including stem cell therapy and new medication options. Additionally, improved technology solutions have aided in diabetes management through continuous glucose monitors (CGM), smart insulin pens, advanced hybrid closed-loop systems, and continuous subcutaneous insulin injections.^5,6 Unfortunately, these groundbreaking innovations are drawing limited focus, as the field is rightfully focused on the adverse impact of the pandemic on patients with diabetes.

Learning health networks like the T1D Exchange Quality Improvement Collaborative (T1DX-QI) have implemented some of these innovative solutions to improve care for people with diabetes.⁷ T1DX-QI has more than 50 data-sharing endocrinology centers that care for over 75,000 people with diabetes across the United States (Figure 1). Centers participating in the T1DX-QI use quality improvement (QI) and implementation science methods to quickly translate research into evidence-based clinical practice. T1DX-QI leads diabetes population health and health system research and supports widespread transferability across health care organizations through regular collaborative calls, conferences, and case study documentation.⁸

In this review, we summarize impactful population health innovations in diabetes management that have become available over the past 2 years of the COVID-19 pandemic from the perspective of T1DX-QI (see Figure 2 for relevant definitions). This review is limited in scope and is not meant to be an exhaustive list of innovations. The review also reflects significant changes from the perspective of academic diabetes centers, which may not apply to rural or primary care diabetes practices.

The first (A.M.), second (H.H.), and senior (O.E.) authors conducted a scoping review of published literature using terms related to diabetes, population health, and innovation on PubMed Central and Google Scholar for the period March 2020 to June 2022. To complement the review, A.M. and O.E. also reviewed abstracts from presentations at major international diabetes conferences, including the American Diabetes Association (ADA), the International Society for Pediatric and Adolescent Diabetes (ISPAD), the T1DX-QI Learning Session Conference, and the Advanced Technologies & Treatments for Diabetes (ATTD) 2020 to 2022 conferences.^9-14 The authors also searched FDA.gov and ClinicalTrials.gov for relevant insights. A.M. and O.E. sorted the reviewed literature into major themes (Figure 3) from the population health improvement perspective of the T1DX-QI.

Population Health Innovations in Diabetes Management

Expansion of Telemedicine Access

Telemedicine is cost-effective for patients with diabetes,¹⁵ including those with complex cases.¹⁶ Before the COVID-19 pandemic, telemedicine and virtual care were rare in diabetes management. However, the pandemic offered a new opportunity to expand the practice of telemedicine in diabetes management. A study from the T1DX-QI showed that telemedicine visits grew from comprising <1% of visits pre-pandemic (December 2019) to 95.2% during the pandemic (August 2020).¹⁷ Additional studies, like those conducted by Phillip et al,¹⁸ confirmed the noninferiority of telemedicine practice for patients with diabetes.Telemedicine was also found to be an effective strategy to educate patients on the use of diabetes technologies.¹⁹

Real-World Data and Disease Surveillance

As the COVID-19 pandemic exacerbated outcomes for people with type 1 diabetes (T1D), a need arose to understand the immediate effects of the pandemic on people with T1D through real-world data and disease surveillance. In April 2020, the T1DX-QI initiated a multicenter surveillance study to collect data and analyze the impact of COVID-19 on people with T1D. The existing health collaborative served as a springboard for robust surveillance study, documenting numerous works on the effects of COVID-19.^3,4,20-28 Other investigators also embraced the power of real-world surveillance and real-world data.^29,30

Big Data, Machine Learning, and Artificial Intelligence

The past 2 years have seen a shift toward embracing the incredible opportunity to tap the large volume of data generated from routine care for practical insights.³¹ In particular, researchers have demonstrated the widespread application of machine learning and artificial intelligence to improve diabetes management.³² The T1DX-QI also harnessed the growing power of big data by expanding the functionality of innovative benchmarking software. The T1DX QI Portal uses electronic medical record data of diabetes patients for clinic-to-clinic benchmarking and data analysis, using business intelligence solutions.³³

Health Equity

While inequities across various health outcomes have been well documented for years,³⁴ the COVID-19 pandemic further exaggerated racial/ethnic health inequities in T1D.^23,35 In response, several organizations have outlined specific strategies to address these health inequities. Emboldened by the pandemic, the T1DX-QI announced a multipronged approach to address health inequities among patients with T1D through the Health Equity Advancement Lab (HEAL).³⁶ One of HEAL’s main components is using real-world data to champion population-level insights and demonstrate progress in QI efforts.

Multiple innovative studies have been undertaken to explore contributors to health inequities in diabetes, and these studies are expanding our understanding of the chasm.³⁷ There have also been innovative solutions to addressing these inequities, with multiple studies published over the past 2 years.³⁸ A source of inequity among patients with T1D is the lack of representation of racial/ethnic minorities with T1D in clinical trials.³⁹ The T1DX-QI suggests that the equity-adapted framework for QI can be applied by research leaders to support trial diversity and representation, ensuring future device innovations are meaningful for all people with T1D.⁴⁰

Diabetes Devices

Glucose monitoring and insulin therapy are vital tools to support individuals living with T1D, and devices such as CGM and insulin pumps have become the standard of care for diabetes management (Table).⁴¹ Innovations in diabetes technology and device access are imperative for a chronic disease with no cure.

The COVID-19 pandemic created an opportunity to increase access to diabetes devices in inpatient settings. In 2020, the US Food and Drug Administration expanded the use of CGM to support remote monitoring of patients in inpatient hospital settings, simultaneously supporting the glucose monitoring needs of patients with T1D and reducing COVID-19 transmission through reduced patient-clinician contact.⁴² This effort has been expanded and will continue in 2022 and beyond,⁴³ and aligns with the growing consensus that supports patients wearing both CGMs and insulin pumps in ambulatory settings to improve patient health outcomes.⁴⁴

Since 2020, innovations in diabetes technology have improved and increased the variety of options available to people with T1D and made them easier to use (Table). New, advanced hybrid closed-loop systems have progressed to offer Bluetooth features, including automatic software upgrades, tubeless systems, and the ability to allow parents to use their smartphones to bolus for children.^45-47 The next big step in insulin delivery innovation is the release of functioning, fully closed loop systems, of which several are currently in clinical trials.⁴⁸ These systems support reduced hypoglycemia and improved time in range.⁴⁹

Additional innovations in insulin delivery have improved the user experience and expanded therapeutic options, including a variety of smart insulin pens complete with dosing logs^50,51 and even a patch to deliver insulin without the burden of injections.⁵² As barriers to diabetes technology persist,⁵³ innovations in alternate insulin delivery provide people with T1D more options to align with their personal access and technology preferences.

Innovations in CGM address cited barriers to their use, including size or overall wear.^53-55 CGMs released in the past few years are smaller in physical size, have longer durations of time between changings, are more accurate, and do not require calibrations for accuracy.

New Diabetes Medications

Many new medications and therapeutic advances have become available in the past 2 years.⁵⁶ Additionally, more medications are being tested as adjunct therapies to support glycemic management in patients with T1D, including metformin, sodium-glucose cotransporter 1 and 2 inhibitors, pramlintide, glucagon-like polypeptide-1 analogs, and glucagon receptor agonists.⁵⁷ Other recent advances include stem cell replacement therapy for patients with T1D.⁵⁸ The ultra-long-acting biosimilar insulins are one medical innovation that has been stalled, rather than propelled, during the COVID-19 pandemic.⁵⁹

Diabetes Policy Advocacy

People with T1D require insulin to survive. The cost of insulin has increased in recent years, with some studies citing a 64% to 100% increase in the past decade.^60,61 In fact, 1 in 4 insulin users report that cost has impacted their insulin use, including rationing their insulin.⁶² Lockdowns during the COVID-19 pandemic stressed US families financially, increasing the urgency for insulin cost caps.

Although the COVID-19 pandemic halted national conversations on drug financing,⁶³ advocacy efforts have succeeded for specific populations. The new Medicare Part D Senior Savings Model will cap the cost of insulin at $35 for a 30-day supply,⁶⁴ and 20 states passed legislation capping insulin pricing.⁶² Efforts to codify national cost caps are under debate, including the passage of the Affordable Insulin Now Act, which passed the House in March 2022 and is currently under review in the Senate.⁶⁵

Funders and industry partners play a crucial role in leading and supporting innovations that improve the lives of people with T1D and reduce society’s costs of living with the disease. Data infrastructure is critical to supporting population health. While building the data infrastructure to support population health is both time- and resource-intensive, private foundations such as Helmsley are uniquely positioned—and have a responsibility—to take large, informed risks to help reach all communities with T1D.

The T1DX-QI is the largest source of population health data on T1D in the United States and is becoming the premiere data authority on its incidence, prevalence, and outcomes. The T1DX-QI enables a robust understanding of T1D-related health trends at the population level, as well as trends among clinics and providers. Pilot centers in the T1DX-QI have reported reductions in patients’ A1c and acute diabetes-related events, as well as improvements in device usage and depression screening. The ability to capture changes speaks to the promise and power of these data to demonstrate the clinical impact of QI interventions and to support the spread of best practices and learnings across health systems.

Additional philanthropic efforts have supported innovation in the last 2 years. For example, the JDRF, a nonprofit philanthropic equity firm, has supported efforts in developing artificial pancreas systems and cell therapies currently in clinical trials like teplizumab, a drug that has demonstrated delayed onset of T1D through JDRF’s T1D Fund.⁶⁶ Industry partners also have an opportunity for significant influence in this area, as they continue to fund meaningful projects to advance care for people with T1D.⁶⁷

Conclusion

We are optimistic that the innovations summarized here describe a shift in the tide of equitable T1D outcomes; however, future work is required to explore additional health equity successes that do not further exacerbate inequities. We also see further opportunities for innovative ways to engage people with T1D in their health care through conversations on social determinants of health and societal structures.

Corresponding author: Ann Mungmode, MPH, T1D Exchange, 11 Avenue de Lafayette, Boston, MA 02111; Email: [email protected]

Disclosures: Dr. Ebekozien serve(d) as a director, officer, partner, employee, advisor, consultant, or trustee for the Medtronic Advisory Board and received research grants from Medtronic Diabetes, Eli Lilly, and Dexcom.

Funding: The T1DX-QI is funded by The Leona M. and Harry B. Hemsley Charitable Trust.

Study 1 Overview (Bayliss et al)

Objective: To examine the effect of a deprescribing educational intervention on medication use in older adults with cognitive impairment.

Design: This was a pragmatic, cluster randomized trial conducted in 8 primary care clinics that are part of a nonprofit health care system.

Setting and participants: The primary care clinic populations ranged from 170 to 1125 patients per clinic. The primary care clinics were randomly assigned to intervention or control using a uniform distribution in blocks by clinic size. Eligibility criteria for participants at those practices included age 65 years or older; health plan enrollment at least 1 year prior to intervention; diagnosis of Alzheimer disease and related dementia (ADRD) or mild cognitive impairment (MCI) by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code or from problem list; 1 or more chronic conditions from those in the Chronic Conditions Warehouse; and 5 or more long-term medications. Those who scheduled a visit at their primary care clinic in advance were eligible for the intervention. Primary care clinicians in intervention clinics were eligible to receive the clinician portion of the intervention. A total of 1433 participants were enrolled in the intervention group, and 1579 participants were enrolled in the control group.

Intervention: The intervention included 2 components: a patient and family component with materials mailed in advance of their primary care visits and a clinician component comprising monthly educational materials on deprescribing and notification in the electronic health record about visits with patient participants. The patient and family component consisted of a brochure titled “Managing Medication” and a questionnaire on attitudes toward deprescribing intended to educate patients and family about deprescribing. Clinicians at intervention clinics received an educational presentation at a monthly clinician meeting as well as tip sheets and a poster on deprescribing topics, and they also were notified of upcoming appointments with patients who received the patient component of the intervention. For the control group, patients and family did not receive any materials, and clinicians did not receive intervention materials or notification of participants enrolled in the trial. Usual care in both intervention and control groups included medication reconciliation and electronic health record alerts for potentially high-risk medications.

Main outcome measures: The primary outcomes of the study were the number of long-term medications per individual and the proportion of patients prescribed 1 or more potentially inappropriate medications. Outcome measurements were extracted from the electronic clinical data, and outcomes were assessed at 6 months, which involved comparing counts of medications at baseline with medications at 6 months. Long-term medications were defined as medications that are prescribed for 28 days or more based on pharmacy dispensing data. Potentially inappropriate medications (PIMs) were defined using the Beers list of medications to avoid in those with cognitive impairment and opioid medications. Analyses were conducted as intention to treat.

Main results: In the intervention group and control group, 56.2% and 54.4% of participants were women, and the mean age was 80.1 years (SD, 7.2) and 79.9 years (SD, 7.5), respectively. At baseline, the mean number of long-term medications was 7.0 (SD, 2.1) in the intervention group and 7.0 (SD, 2.2) in the control group. The proportion of patients taking any PIMs was 30.5% in the intervention group and 29.6% in the control group. At 6 months, the mean number of long-term medications was 6.4 in the intervention group and 6.5 in the control group, with an adjusted difference of –0.1 (95% CI, –0.2 to 0.04; P = .14); the proportion of patients with any PIMs was 17.8% in the intervention group and 20.9% in the control group, with an adjusted difference of –3.2% (95% CI, –6.2 to 0.4; P = .08). Preplanned analyses to examine subgroup differences for those with a higher number of medications (7+ vs 5 or 6 medications) did not find different effects of the intervention.

Conclusion: This educational intervention on deprescribing did not result in reductions in the number of medications or the use of PIMs in patients with cognitive impairment.

Study 2 Overview (Gedde et al)

Objective: To examine the effect of a deprescribing intervention (COSMOS) on medication use for nursing home residents.

Design: This was a randomized clinical trial.

Setting and participants: This trial was conducted in 67 units in 33 nursing homes in Norway. Participants were nursing home residents recruited from August 2014 to March 2015. Inclusion criteria included adults aged 65 years and older with at least 2 years of residency in nursing homes. Exclusion criteria included diagnosis of schizophrenia and a life expectancy of 6 months or less. Participants were followed for 4 months; participants were considered lost to follow-up if they died or moved from the nursing home unit. The analyses were per protocol and did not include those lost to follow-up or those who did not undergo a medication review in the intervention group. A total of 217 and 211 residents were included in the intervention and control groups, respectively.

Intervention: The intervention contained 5 components: communication and advance care planning, systematic pain management, medication reviews with collegial mentoring, organization of activities adjusted to needs and preferences, and safety. For medication review, the nursing home physician reviewed medications together with a nurse and study physicians who provided mentoring. The medication review involved a structured process that used assessment tools for behavioral and psychological symptoms of dementia (BPSD), activities of daily living (ADL), pain, cognitive status, well-being and quality of life, and clinical metrics of blood pressure, pulse, and body mass index. The study utilized the START/STOPP criteria¹ for medication use in addition to a list of medications with anticholinergic properties for the medication review. In addition, drug interactions were documented through a drug interaction database; the team also incorporated patient wishes and concerns in the medication reviews. The nursing home physician made final decisions on medications. For the control group, nursing home residents received usual care without this intervention.

Main outcome measures: The primary outcome of the study was the mean change in the number of prescribed psychotropic medications, both regularly scheduled and total medications (which also included on-demand drugs) received at 4 months when compared to baseline. Psychotropic medications included antipsychotics, anxiolytics, hypnotics or sedatives, antidepressants, and antidementia drugs. Secondary outcomes included mean changes in BPSD using the Neuropsychiatric Inventory-Nursing home version (NPI-NH) and the Cornell Scale for Depression for Dementia (CSDD) and ADL using the Physical Self Maintenance Scale (PSMS).

Main results: In both the intervention and control groups, 76% of participants were women, and mean age was 86.3 years (SD, 7.95) in the intervention group and 86.6 years (SD, 7.21) in the control group. At baseline, the mean number of total medications was 10.9 (SD, 4.6) in the intervention group and 10.9 (SD, 4.7) in the control group, and the mean number of psychotropic medications was 2.2 (SD, 1.6) and 2.2 (SD, 1.7) in the intervention and control groups, respectively. At 4 months, the mean change from baseline of total psychotropic medications was –0.34 in the intervention group and 0.01 in the control group (P < .001), and the mean change of regularly scheduled psychotropic medications was –0.21 in the intervention group and 0.02 in the control group (P < .001). Measures of BPSD and depression did not differ between intervention and control groups, and ADL showed a small improvement in the intervention group.

Conclusion: This intervention reduced the use of psychotropic medications in nursing home residents without worsening BPSD or depression and may have yielded improvements in ADL.

Commentary

Polypharmacy is common among older adults, as many of them have multiple chronic conditions and often take multiple medications for managing them. Polypharmacy increases the risk of drug interactions and adverse effects from medications; older adults who are frail and/or who have cognitive impairment are especially at risk. Reducing medication use, especially medications likely to cause adverse effects such as those with anticholinergic properties, has the potential to yield beneficial effects while reducing the burden of taking medications. A large randomized trial found that a pharmacist-led education intervention can be effective in reducing PIM use in community-dwelling older adults,² and that targeting patient motivation and capacity to deprescribe could be effective.³ This study by Bayliss and colleagues (Study 1), however, fell short of the effects seen in the earlier D-PRESCRIBE trial. One of the reasons for these findings may be that the clinician portion of the intervention was less intensive than that used in the earlier trial; specifically, in the present study, clinicians were not provided with or expected to utilize tools for structured medication review or deprescribing. Although the intervention primes the patient and family for discussions around deprescribing through the use of a brochure and questionnaire, the clinician portion of the intervention was less structured. Another example of an effective intervention that provided a more structured deprescribing intervention beyond education of clinicians utilized electronic decision-support to assist with deprescribing.⁴

The findings from the Gedde et al study (Study 2) are comparable to those of prior studies in the nursing home population,⁵ where participants are likely to take a large number of medications, including psychotropic medications, and are more likely to be frail. However, Gedde and colleagues employed a bundled intervention⁶ that included other components besides medication review, and thus it is unclear whether the effect on ADL can be attributed to the deprescribing of medications alone. Gedde et al’s finding that deprescribing can reduce the use of psychotropic medications while not leading to differences in behavioral and psychologic symptoms or depression is an important contribution to our knowledge about polypharmacy and deprescribing in older patients. Thus, nursing home residents, their families, and clinicians could expect that the deprescribing of psychotropic medications does not lead to worsening symptoms. Of note, the clinician portion of the intervention in the Gedde et al study was quite structured, and this structure may have contributed to the observed effects.

Applications for Clinical Practice and System Implementation

Both studies add to the literature on deprescribing and may offer options for researchers and clinicians who are considering potential components of an effective deprescribing intervention. Patient activation for deprescribing via the methods used in these 2 studies may help to prime patients for conversations about deprescribing; however, as shown by the Bayliss et al study, a more structured approach to clinical encounters may be needed when deprescribing, such as the use of tools in the electronic health record, in order to reduce the use of medication deemed unnecessary or potentially harmful. Further studies should examine the effect of deprescribing on medication use, but perhaps even more importantly, how deprescribing impacts patient outcomes both in terms of risks and benefits.

Practice Points

• A more structured approach to clinical encounters (eg, the use of tools in the electronic health record) may be needed when deprescribing unnecessary or potentially harmful medications in older patients in community settings.
• In the nursing home setting, structured deprescribing intervention can reduce the use of psychotropic medications while not leading to differences in behavioral and psychologic symptoms or depression.

–William W. Hung, MD, MPH

Study 1 Overview (Bayliss et al)

Objective: To examine the effect of a deprescribing educational intervention on medication use in older adults with cognitive impairment.

Design: This was a pragmatic, cluster randomized trial conducted in 8 primary care clinics that are part of a nonprofit health care system.

Setting and participants: The primary care clinic populations ranged from 170 to 1125 patients per clinic. The primary care clinics were randomly assigned to intervention or control using a uniform distribution in blocks by clinic size. Eligibility criteria for participants at those practices included age 65 years or older; health plan enrollment at least 1 year prior to intervention; diagnosis of Alzheimer disease and related dementia (ADRD) or mild cognitive impairment (MCI) by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code or from problem list; 1 or more chronic conditions from those in the Chronic Conditions Warehouse; and 5 or more long-term medications. Those who scheduled a visit at their primary care clinic in advance were eligible for the intervention. Primary care clinicians in intervention clinics were eligible to receive the clinician portion of the intervention. A total of 1433 participants were enrolled in the intervention group, and 1579 participants were enrolled in the control group.

Intervention: The intervention included 2 components: a patient and family component with materials mailed in advance of their primary care visits and a clinician component comprising monthly educational materials on deprescribing and notification in the electronic health record about visits with patient participants. The patient and family component consisted of a brochure titled “Managing Medication” and a questionnaire on attitudes toward deprescribing intended to educate patients and family about deprescribing. Clinicians at intervention clinics received an educational presentation at a monthly clinician meeting as well as tip sheets and a poster on deprescribing topics, and they also were notified of upcoming appointments with patients who received the patient component of the intervention. For the control group, patients and family did not receive any materials, and clinicians did not receive intervention materials or notification of participants enrolled in the trial. Usual care in both intervention and control groups included medication reconciliation and electronic health record alerts for potentially high-risk medications.

Main outcome measures: The primary outcomes of the study were the number of long-term medications per individual and the proportion of patients prescribed 1 or more potentially inappropriate medications. Outcome measurements were extracted from the electronic clinical data, and outcomes were assessed at 6 months, which involved comparing counts of medications at baseline with medications at 6 months. Long-term medications were defined as medications that are prescribed for 28 days or more based on pharmacy dispensing data. Potentially inappropriate medications (PIMs) were defined using the Beers list of medications to avoid in those with cognitive impairment and opioid medications. Analyses were conducted as intention to treat.

Main results: In the intervention group and control group, 56.2% and 54.4% of participants were women, and the mean age was 80.1 years (SD, 7.2) and 79.9 years (SD, 7.5), respectively. At baseline, the mean number of long-term medications was 7.0 (SD, 2.1) in the intervention group and 7.0 (SD, 2.2) in the control group. The proportion of patients taking any PIMs was 30.5% in the intervention group and 29.6% in the control group. At 6 months, the mean number of long-term medications was 6.4 in the intervention group and 6.5 in the control group, with an adjusted difference of –0.1 (95% CI, –0.2 to 0.04; P = .14); the proportion of patients with any PIMs was 17.8% in the intervention group and 20.9% in the control group, with an adjusted difference of –3.2% (95% CI, –6.2 to 0.4; P = .08). Preplanned analyses to examine subgroup differences for those with a higher number of medications (7+ vs 5 or 6 medications) did not find different effects of the intervention.

Conclusion: This educational intervention on deprescribing did not result in reductions in the number of medications or the use of PIMs in patients with cognitive impairment.

Study 2 Overview (Gedde et al)

Objective: To examine the effect of a deprescribing intervention (COSMOS) on medication use for nursing home residents.

Design: This was a randomized clinical trial.

Setting and participants: This trial was conducted in 67 units in 33 nursing homes in Norway. Participants were nursing home residents recruited from August 2014 to March 2015. Inclusion criteria included adults aged 65 years and older with at least 2 years of residency in nursing homes. Exclusion criteria included diagnosis of schizophrenia and a life expectancy of 6 months or less. Participants were followed for 4 months; participants were considered lost to follow-up if they died or moved from the nursing home unit. The analyses were per protocol and did not include those lost to follow-up or those who did not undergo a medication review in the intervention group. A total of 217 and 211 residents were included in the intervention and control groups, respectively.

Intervention: The intervention contained 5 components: communication and advance care planning, systematic pain management, medication reviews with collegial mentoring, organization of activities adjusted to needs and preferences, and safety. For medication review, the nursing home physician reviewed medications together with a nurse and study physicians who provided mentoring. The medication review involved a structured process that used assessment tools for behavioral and psychological symptoms of dementia (BPSD), activities of daily living (ADL), pain, cognitive status, well-being and quality of life, and clinical metrics of blood pressure, pulse, and body mass index. The study utilized the START/STOPP criteria¹ for medication use in addition to a list of medications with anticholinergic properties for the medication review. In addition, drug interactions were documented through a drug interaction database; the team also incorporated patient wishes and concerns in the medication reviews. The nursing home physician made final decisions on medications. For the control group, nursing home residents received usual care without this intervention.

Main outcome measures: The primary outcome of the study was the mean change in the number of prescribed psychotropic medications, both regularly scheduled and total medications (which also included on-demand drugs) received at 4 months when compared to baseline. Psychotropic medications included antipsychotics, anxiolytics, hypnotics or sedatives, antidepressants, and antidementia drugs. Secondary outcomes included mean changes in BPSD using the Neuropsychiatric Inventory-Nursing home version (NPI-NH) and the Cornell Scale for Depression for Dementia (CSDD) and ADL using the Physical Self Maintenance Scale (PSMS).

Main results: In both the intervention and control groups, 76% of participants were women, and mean age was 86.3 years (SD, 7.95) in the intervention group and 86.6 years (SD, 7.21) in the control group. At baseline, the mean number of total medications was 10.9 (SD, 4.6) in the intervention group and 10.9 (SD, 4.7) in the control group, and the mean number of psychotropic medications was 2.2 (SD, 1.6) and 2.2 (SD, 1.7) in the intervention and control groups, respectively. At 4 months, the mean change from baseline of total psychotropic medications was –0.34 in the intervention group and 0.01 in the control group (P < .001), and the mean change of regularly scheduled psychotropic medications was –0.21 in the intervention group and 0.02 in the control group (P < .001). Measures of BPSD and depression did not differ between intervention and control groups, and ADL showed a small improvement in the intervention group.

Conclusion: This intervention reduced the use of psychotropic medications in nursing home residents without worsening BPSD or depression and may have yielded improvements in ADL.

Commentary

Polypharmacy is common among older adults, as many of them have multiple chronic conditions and often take multiple medications for managing them. Polypharmacy increases the risk of drug interactions and adverse effects from medications; older adults who are frail and/or who have cognitive impairment are especially at risk. Reducing medication use, especially medications likely to cause adverse effects such as those with anticholinergic properties, has the potential to yield beneficial effects while reducing the burden of taking medications. A large randomized trial found that a pharmacist-led education intervention can be effective in reducing PIM use in community-dwelling older adults,² and that targeting patient motivation and capacity to deprescribe could be effective.³ This study by Bayliss and colleagues (Study 1), however, fell short of the effects seen in the earlier D-PRESCRIBE trial. One of the reasons for these findings may be that the clinician portion of the intervention was less intensive than that used in the earlier trial; specifically, in the present study, clinicians were not provided with or expected to utilize tools for structured medication review or deprescribing. Although the intervention primes the patient and family for discussions around deprescribing through the use of a brochure and questionnaire, the clinician portion of the intervention was less structured. Another example of an effective intervention that provided a more structured deprescribing intervention beyond education of clinicians utilized electronic decision-support to assist with deprescribing.⁴

The findings from the Gedde et al study (Study 2) are comparable to those of prior studies in the nursing home population,⁵ where participants are likely to take a large number of medications, including psychotropic medications, and are more likely to be frail. However, Gedde and colleagues employed a bundled intervention⁶ that included other components besides medication review, and thus it is unclear whether the effect on ADL can be attributed to the deprescribing of medications alone. Gedde et al’s finding that deprescribing can reduce the use of psychotropic medications while not leading to differences in behavioral and psychologic symptoms or depression is an important contribution to our knowledge about polypharmacy and deprescribing in older patients. Thus, nursing home residents, their families, and clinicians could expect that the deprescribing of psychotropic medications does not lead to worsening symptoms. Of note, the clinician portion of the intervention in the Gedde et al study was quite structured, and this structure may have contributed to the observed effects.

Applications for Clinical Practice and System Implementation

Both studies add to the literature on deprescribing and may offer options for researchers and clinicians who are considering potential components of an effective deprescribing intervention. Patient activation for deprescribing via the methods used in these 2 studies may help to prime patients for conversations about deprescribing; however, as shown by the Bayliss et al study, a more structured approach to clinical encounters may be needed when deprescribing, such as the use of tools in the electronic health record, in order to reduce the use of medication deemed unnecessary or potentially harmful. Further studies should examine the effect of deprescribing on medication use, but perhaps even more importantly, how deprescribing impacts patient outcomes both in terms of risks and benefits.

Practice Points

• A more structured approach to clinical encounters (eg, the use of tools in the electronic health record) may be needed when deprescribing unnecessary or potentially harmful medications in older patients in community settings.
• In the nursing home setting, structured deprescribing intervention can reduce the use of psychotropic medications while not leading to differences in behavioral and psychologic symptoms or depression.

–William W. Hung, MD, MPH

Study 1 Overview (Bayliss et al)

Objective: To examine the effect of a deprescribing educational intervention on medication use in older adults with cognitive impairment.

Design: This was a pragmatic, cluster randomized trial conducted in 8 primary care clinics that are part of a nonprofit health care system.

Setting and participants: The primary care clinic populations ranged from 170 to 1125 patients per clinic. The primary care clinics were randomly assigned to intervention or control using a uniform distribution in blocks by clinic size. Eligibility criteria for participants at those practices included age 65 years or older; health plan enrollment at least 1 year prior to intervention; diagnosis of Alzheimer disease and related dementia (ADRD) or mild cognitive impairment (MCI) by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code or from problem list; 1 or more chronic conditions from those in the Chronic Conditions Warehouse; and 5 or more long-term medications. Those who scheduled a visit at their primary care clinic in advance were eligible for the intervention. Primary care clinicians in intervention clinics were eligible to receive the clinician portion of the intervention. A total of 1433 participants were enrolled in the intervention group, and 1579 participants were enrolled in the control group.

Intervention: The intervention included 2 components: a patient and family component with materials mailed in advance of their primary care visits and a clinician component comprising monthly educational materials on deprescribing and notification in the electronic health record about visits with patient participants. The patient and family component consisted of a brochure titled “Managing Medication” and a questionnaire on attitudes toward deprescribing intended to educate patients and family about deprescribing. Clinicians at intervention clinics received an educational presentation at a monthly clinician meeting as well as tip sheets and a poster on deprescribing topics, and they also were notified of upcoming appointments with patients who received the patient component of the intervention. For the control group, patients and family did not receive any materials, and clinicians did not receive intervention materials or notification of participants enrolled in the trial. Usual care in both intervention and control groups included medication reconciliation and electronic health record alerts for potentially high-risk medications.

Main outcome measures: The primary outcomes of the study were the number of long-term medications per individual and the proportion of patients prescribed 1 or more potentially inappropriate medications. Outcome measurements were extracted from the electronic clinical data, and outcomes were assessed at 6 months, which involved comparing counts of medications at baseline with medications at 6 months. Long-term medications were defined as medications that are prescribed for 28 days or more based on pharmacy dispensing data. Potentially inappropriate medications (PIMs) were defined using the Beers list of medications to avoid in those with cognitive impairment and opioid medications. Analyses were conducted as intention to treat.

Main results: In the intervention group and control group, 56.2% and 54.4% of participants were women, and the mean age was 80.1 years (SD, 7.2) and 79.9 years (SD, 7.5), respectively. At baseline, the mean number of long-term medications was 7.0 (SD, 2.1) in the intervention group and 7.0 (SD, 2.2) in the control group. The proportion of patients taking any PIMs was 30.5% in the intervention group and 29.6% in the control group. At 6 months, the mean number of long-term medications was 6.4 in the intervention group and 6.5 in the control group, with an adjusted difference of –0.1 (95% CI, –0.2 to 0.04; P = .14); the proportion of patients with any PIMs was 17.8% in the intervention group and 20.9% in the control group, with an adjusted difference of –3.2% (95% CI, –6.2 to 0.4; P = .08). Preplanned analyses to examine subgroup differences for those with a higher number of medications (7+ vs 5 or 6 medications) did not find different effects of the intervention.

Conclusion: This educational intervention on deprescribing did not result in reductions in the number of medications or the use of PIMs in patients with cognitive impairment.

Study 2 Overview (Gedde et al)

Objective: To examine the effect of a deprescribing intervention (COSMOS) on medication use for nursing home residents.

Design: This was a randomized clinical trial.

Setting and participants: This trial was conducted in 67 units in 33 nursing homes in Norway. Participants were nursing home residents recruited from August 2014 to March 2015. Inclusion criteria included adults aged 65 years and older with at least 2 years of residency in nursing homes. Exclusion criteria included diagnosis of schizophrenia and a life expectancy of 6 months or less. Participants were followed for 4 months; participants were considered lost to follow-up if they died or moved from the nursing home unit. The analyses were per protocol and did not include those lost to follow-up or those who did not undergo a medication review in the intervention group. A total of 217 and 211 residents were included in the intervention and control groups, respectively.

Intervention: The intervention contained 5 components: communication and advance care planning, systematic pain management, medication reviews with collegial mentoring, organization of activities adjusted to needs and preferences, and safety. For medication review, the nursing home physician reviewed medications together with a nurse and study physicians who provided mentoring. The medication review involved a structured process that used assessment tools for behavioral and psychological symptoms of dementia (BPSD), activities of daily living (ADL), pain, cognitive status, well-being and quality of life, and clinical metrics of blood pressure, pulse, and body mass index. The study utilized the START/STOPP criteria¹ for medication use in addition to a list of medications with anticholinergic properties for the medication review. In addition, drug interactions were documented through a drug interaction database; the team also incorporated patient wishes and concerns in the medication reviews. The nursing home physician made final decisions on medications. For the control group, nursing home residents received usual care without this intervention.

Main outcome measures: The primary outcome of the study was the mean change in the number of prescribed psychotropic medications, both regularly scheduled and total medications (which also included on-demand drugs) received at 4 months when compared to baseline. Psychotropic medications included antipsychotics, anxiolytics, hypnotics or sedatives, antidepressants, and antidementia drugs. Secondary outcomes included mean changes in BPSD using the Neuropsychiatric Inventory-Nursing home version (NPI-NH) and the Cornell Scale for Depression for Dementia (CSDD) and ADL using the Physical Self Maintenance Scale (PSMS).

Main results: In both the intervention and control groups, 76% of participants were women, and mean age was 86.3 years (SD, 7.95) in the intervention group and 86.6 years (SD, 7.21) in the control group. At baseline, the mean number of total medications was 10.9 (SD, 4.6) in the intervention group and 10.9 (SD, 4.7) in the control group, and the mean number of psychotropic medications was 2.2 (SD, 1.6) and 2.2 (SD, 1.7) in the intervention and control groups, respectively. At 4 months, the mean change from baseline of total psychotropic medications was –0.34 in the intervention group and 0.01 in the control group (P < .001), and the mean change of regularly scheduled psychotropic medications was –0.21 in the intervention group and 0.02 in the control group (P < .001). Measures of BPSD and depression did not differ between intervention and control groups, and ADL showed a small improvement in the intervention group.

Conclusion: This intervention reduced the use of psychotropic medications in nursing home residents without worsening BPSD or depression and may have yielded improvements in ADL.

Commentary

Polypharmacy is common among older adults, as many of them have multiple chronic conditions and often take multiple medications for managing them. Polypharmacy increases the risk of drug interactions and adverse effects from medications; older adults who are frail and/or who have cognitive impairment are especially at risk. Reducing medication use, especially medications likely to cause adverse effects such as those with anticholinergic properties, has the potential to yield beneficial effects while reducing the burden of taking medications. A large randomized trial found that a pharmacist-led education intervention can be effective in reducing PIM use in community-dwelling older adults,² and that targeting patient motivation and capacity to deprescribe could be effective.³ This study by Bayliss and colleagues (Study 1), however, fell short of the effects seen in the earlier D-PRESCRIBE trial. One of the reasons for these findings may be that the clinician portion of the intervention was less intensive than that used in the earlier trial; specifically, in the present study, clinicians were not provided with or expected to utilize tools for structured medication review or deprescribing. Although the intervention primes the patient and family for discussions around deprescribing through the use of a brochure and questionnaire, the clinician portion of the intervention was less structured. Another example of an effective intervention that provided a more structured deprescribing intervention beyond education of clinicians utilized electronic decision-support to assist with deprescribing.⁴

The findings from the Gedde et al study (Study 2) are comparable to those of prior studies in the nursing home population,⁵ where participants are likely to take a large number of medications, including psychotropic medications, and are more likely to be frail. However, Gedde and colleagues employed a bundled intervention⁶ that included other components besides medication review, and thus it is unclear whether the effect on ADL can be attributed to the deprescribing of medications alone. Gedde et al’s finding that deprescribing can reduce the use of psychotropic medications while not leading to differences in behavioral and psychologic symptoms or depression is an important contribution to our knowledge about polypharmacy and deprescribing in older patients. Thus, nursing home residents, their families, and clinicians could expect that the deprescribing of psychotropic medications does not lead to worsening symptoms. Of note, the clinician portion of the intervention in the Gedde et al study was quite structured, and this structure may have contributed to the observed effects.

Applications for Clinical Practice and System Implementation

Both studies add to the literature on deprescribing and may offer options for researchers and clinicians who are considering potential components of an effective deprescribing intervention. Patient activation for deprescribing via the methods used in these 2 studies may help to prime patients for conversations about deprescribing; however, as shown by the Bayliss et al study, a more structured approach to clinical encounters may be needed when deprescribing, such as the use of tools in the electronic health record, in order to reduce the use of medication deemed unnecessary or potentially harmful. Further studies should examine the effect of deprescribing on medication use, but perhaps even more importantly, how deprescribing impacts patient outcomes both in terms of risks and benefits.

Practice Points

• A more structured approach to clinical encounters (eg, the use of tools in the electronic health record) may be needed when deprescribing unnecessary or potentially harmful medications in older patients in community settings.
• In the nursing home setting, structured deprescribing intervention can reduce the use of psychotropic medications while not leading to differences in behavioral and psychologic symptoms or depression.

–William W. Hung, MD, MPH

Study 1 Overview (Oberhaus et al)

Objective: To compare the 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) to the long-form Confusion Assessment Method (CAM) in detecting postoperative delirium.

Design: Prospective concurrent comparison of 3D-CAM and CAM evaluations in a cohort of postoperative geriatric patients.

Setting and participants: Eligible participants were patients aged 60 years or older undergoing major elective surgery at Barnes Jewish Hospital (St. Louis, Missouri) who were enrolled in ongoing clinical trials (PODCAST, ENGAGES, SATISFY-SOS) between 2015 and 2018. Surgeries were at least 2 hours in length and required general anesthesia, planned extubation, and a minimum 2-day hospital stay. Investigators were extensively trained in administering 3D-CAM and CAM instruments. Participants were evaluated 2 hours after the end of anesthesia care on the day of surgery, then daily until follow-up was completed per clinical trial protocol or until the participant was determined by CAM to be nondelirious for 3 consecutive days. For each evaluation, both 3D-CAM and CAM assessors approached the participant together, but the evaluation was conducted such that the 3D-CAM assessor was masked to the additional questions ascertained by the long-form CAM assessment. The 3D-CAM or CAM assessor independently scored their respective assessments blinded to the results of the other assessor.

Main outcome measures: Participants were concurrently evaluated for postoperative delirium by both 3D-CAM and long-form CAM assessments. Comparisons between 3D-CAM and CAM scores were made using Cohen κ with repeated measures, generalized linear mixed-effects model, and Bland-Altman analysis.

Main results: Sixteen raters performed 471 concurrent 3D-CAM and CAM assessments in 299 participants (mean [SD] age, 69 [6.5] years). Of these participants, 152 (50.8%) were men, 263 (88.0%) were White, and 211 (70.6%) underwent noncardiac surgery. Both instruments showed good intraclass correlation (0.98 for 3D-CAM, 0.84 for CAM) with good overall agreement (Cohen κ = 0.71; 95% CI, 0.58-0.83). The mixed-effects model indicated a significant disagreement between the 3D-CAM and CAM assessments (estimated difference in fixed effect, –0.68; 95% CI, –1.32 to –0.05; P = .04). The Bland-Altman analysis showed that the probability of a delirium diagnosis with the 3D-CAM was more than twice that with the CAM (probability ratio, 2.78; 95% CI, 2.44-3.23).

Conclusion: The high degree of agreement between 3D-CAM and long-form CAM assessments suggests that the former may be a pragmatic and easy-to-administer clinical tool to screen for postoperative delirium in vulnerable older surgical patients.

Study 2 Overview (Shenkin et al)

Objective: To assess the accuracy of the 4 ‘A’s Test (4AT) for delirium detection in the medical inpatient setting and to compare the 4AT to the CAM.

Design: Prospective randomized diagnostic test accuracy study.

Setting and participants: This study was conducted in emergency departments and acute medical wards at 3 UK sites (Edinburgh, Bradford, and Sheffield) and enrolled acute medical patients aged 70 years or older without acute life-threatening illnesses and/or coma. Assessors administering the delirium evaluation were nurses or graduate clinical research associates who underwent systematic training in delirium and delirium assessment. Additional training was provided to those administering the CAM but not to those administering the 4AT as the latter is designed to be administered without special training. First, all participants underwent a reference standard delirium assessment using Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) criteria to derive a final definitive diagnosis of delirium via expert consensus (1 psychiatrist and 2 geriatricians). Then, the participants were randomized to either the 4AT or the comparator CAM group using computer-generated pseudo-random numbers, stratified by study site, with block allocation. All assessments were performed by pairs of independent assessors blinded to the results of the other assessment.

Main outcome measures: All participants were evaluated by the reference standard (DSM-IV criteria for delirium) and by either 4AT or CAM instruments for delirium. The accuracy of the 4AT instrument was evaluated by comparing its positive and negative predictive values, sensitivity, and specificity to the reference standard and analyzed via the area under the receiver operating characteristic curve. The diagnostic accuracy of 4AT, compared to the CAM, was evaluated by comparing positive and negative predictive values, sensitivity, and specificity using Fisher’s exact test. The overall performance of 4AT and CAM was summarized using Youden’s Index and the diagnostic odds ratio of sensitivity to specificity.

Results: All 843 individuals enrolled in the study were randomized and 785 were included in the analysis (23 withdrew, 3 lost contact, 32 indeterminate diagnosis, 2 missing outcome). Of the participants analyzed, the mean age was 81.4 [6.4] years, and 12.1% (95/785) had delirium by reference standard assessment, 14.3% (56/392) by 4AT, and 4.7% (18/384) by CAM. The 4AT group had an area under the receiver operating characteristic curve of 0.90 (95% CI, 0.84-0.96), a sensitivity of 76% (95% CI, 61%-87%), and a specificity of 94% (95% CI, 92%-97%). In comparison, the CAM group had a sensitivity of 40% (95% CI, 26%-57%) and a specificity of 100% (95% CI, 98%-100%).

Conclusions: The 4AT is a pragmatic screening test for delirium in a medical space that does not require special training to administer. The use of this instrument may help to improve delirium detection as a part of routine clinical care in hospitalized older adults.

Delirium is an acute confusional state marked by fluctuating mental status, inattention, disorganized thinking, and altered level of consciousness. It is exceedingly common in older patients in both surgical and medical settings and is associated with increased morbidity, mortality, hospital length of stay, institutionalization, and health care costs. Delirium is frequently underdiagnosed in the hospitalized setting, perhaps due to a combination of its waxing and waning nature and a lack of pragmatic and easily implementable screening tools that can be readily administered by clinicians and nonclinicians alike.¹ While the CAM is a well-validated instrument to diagnose delirium, it requires specific training in the rating of each of the cardinal features ascertained through a brief cognitive assessment and takes 5 to 10 minutes to complete. Taken together, given the high patient load for clinicians in the hospital setting, the validation and application of brief delirium screening instruments that can be reliably administered by nonphysicians and nonclinicians may enhance delirium detection in vulnerable patients and consequently improve their outcomes.

In Study 1, Oberhaus et al approach the challenge of underdiagnosing delirium in the postoperative setting by investigating whether the widely accepted long-form CAM and an abbreviated 3-minute version, the 3D-CAM, provide similar delirium detection in older surgical patients. The authors found that both instruments were reliable tests individually (high interrater reliability) and had good overall agreement. However, the 3D-CAM was more likely to yield a positive diagnosis of delirium compared to the long-form CAM, consistent with its purpose as a screening tool with a high sensitivity. It is important to emphasize that the 3D-CAM takes less time to administer, but also requires less extensive training and clinical knowledge than the long-form CAM. Therefore, this instrument meets the prerequisite of a brief screening test that can be rapidly administered by nonclinicians, and if affirmative, followed by a more extensive confirmatory test performed by a clinician. Limitations of this study include a lack of a reference standard structured interview conducted by a physician-rater to better determine the true diagnostic accuracy of both 3D-CAM and CAM assessments, and the use of convenience sampling at a single center, which reduces the generalizability of its findings.

In a similar vein, Shenkin et al in Study 2 attempt to evaluate the utility of the 4AT instrument in diagnosing delirium in older medical inpatients by testing the diagnostic accuracy of the 4AT against a reference standard (ie, DSM-IV–based evaluation by physicians) as well as comparing it to CAM. The 4AT takes less time (~2 minutes) and requires less knowledge and training to administer as compared to the CAM. The study showed that the abbreviated 4AT, compared to CAM, had a higher sensitivity (76% vs 40%) and lower specificity (94% vs 100%) in delirium detection. Thus, akin to the application of 3D-CAM in the postoperative setting, 4AT possesses key characteristics of a brief delirium screening test for older patients in the acute medical setting. In contrast to the Oberhaus et al study, a major strength of this study was the utilization of a reference standard that was validated by expert consensus. This allowed the 4AT and CAM assessments to be compared to a more objective standard, thereby directly testing their diagnostic performance in detecting delirium.

Application for Clinical Practice and System Implementation

The findings from both Study 1 and 2 suggest that using an abbreviated delirium instrument in both surgical and acute medical settings may provide a pragmatic and sensitive method to detect delirium in older patients. The brevity of administration of 3D-CAM (~3 minutes) and 4AT (~2 minutes), combined with their higher sensitivity for detecting delirium compared to CAM, make these instruments potentially effective rapid screening tests for delirium in hospitalized older patients. Importantly, the utilization of such instruments might be a feasible way to mitigate the issue of underdiagnosing delirium in the hospital.

Several additional aspects of these abbreviated delirium instruments increase their suitability for clinical application. Specifically, the 3D-CAM and 4AT require less extensive training and clinical knowledge to both administer and interpret the results than the CAM.² For instance, a multistage, multiday training for CAM is a key factor in maintaining its diagnostic accuracy.^3,4 In contrast, the 3D-CAM requires only a 1- to 2-hour training session, and the 4AT can be administered by a nonclinician without the need for instrument-specific training. Thus, implementation of these instruments can be particularly pragmatic in clinical settings in which the staff involved in delirium screening cannot undergo the substantial training required to administer CAM. Moreover, these abbreviated tests enable nonphysician care team members to assume the role of delirium screener in the hospital. Taken together, the adoption of these abbreviated instruments may facilitate brief screenings of delirium in older patients by caregivers who see them most often—nurses and certified nursing assistants—thereby improving early detection and prevention of delirium-related complications in the hospital.

The feasibility of using abbreviated delirium screening instruments in the hospital setting raises a system implementation question—if these instruments are designed to be administered by those with limited to no training, could nonclinicians, such as hospital volunteers, effectively take on delirium screening roles in the hospital? If volunteers are able to take on this role, the integration of hospital volunteers into the clinical team can greatly expand the capacity for delirium screening in the hospital setting. Further research is warranted to validate the diagnostic accuracy of 3D-CAM and 4AT by nonclinician administrators in order to more broadly adopt this approach to delirium screening.

Practice Points

• Abbreviated delirium screening tools such as 3D-CAM and 4AT may be pragmatic instruments to improve delirium detection in surgical and hospitalized older patients, respectively.
• Further studies are warranted to validate the diagnostic accuracy of 3D-CAM and 4AT by nonclinician administrators in order to more broadly adopt this approach to delirium screening.

Jared Doan, BS, and Fred Ko, MD
Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai

Study 1 Overview (Oberhaus et al)

Objective: To compare the 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) to the long-form Confusion Assessment Method (CAM) in detecting postoperative delirium.

Design: Prospective concurrent comparison of 3D-CAM and CAM evaluations in a cohort of postoperative geriatric patients.

Setting and participants: Eligible participants were patients aged 60 years or older undergoing major elective surgery at Barnes Jewish Hospital (St. Louis, Missouri) who were enrolled in ongoing clinical trials (PODCAST, ENGAGES, SATISFY-SOS) between 2015 and 2018. Surgeries were at least 2 hours in length and required general anesthesia, planned extubation, and a minimum 2-day hospital stay. Investigators were extensively trained in administering 3D-CAM and CAM instruments. Participants were evaluated 2 hours after the end of anesthesia care on the day of surgery, then daily until follow-up was completed per clinical trial protocol or until the participant was determined by CAM to be nondelirious for 3 consecutive days. For each evaluation, both 3D-CAM and CAM assessors approached the participant together, but the evaluation was conducted such that the 3D-CAM assessor was masked to the additional questions ascertained by the long-form CAM assessment. The 3D-CAM or CAM assessor independently scored their respective assessments blinded to the results of the other assessor.

Main outcome measures: Participants were concurrently evaluated for postoperative delirium by both 3D-CAM and long-form CAM assessments. Comparisons between 3D-CAM and CAM scores were made using Cohen κ with repeated measures, generalized linear mixed-effects model, and Bland-Altman analysis.

Main results: Sixteen raters performed 471 concurrent 3D-CAM and CAM assessments in 299 participants (mean [SD] age, 69 [6.5] years). Of these participants, 152 (50.8%) were men, 263 (88.0%) were White, and 211 (70.6%) underwent noncardiac surgery. Both instruments showed good intraclass correlation (0.98 for 3D-CAM, 0.84 for CAM) with good overall agreement (Cohen κ = 0.71; 95% CI, 0.58-0.83). The mixed-effects model indicated a significant disagreement between the 3D-CAM and CAM assessments (estimated difference in fixed effect, –0.68; 95% CI, –1.32 to –0.05; P = .04). The Bland-Altman analysis showed that the probability of a delirium diagnosis with the 3D-CAM was more than twice that with the CAM (probability ratio, 2.78; 95% CI, 2.44-3.23).

Conclusion: The high degree of agreement between 3D-CAM and long-form CAM assessments suggests that the former may be a pragmatic and easy-to-administer clinical tool to screen for postoperative delirium in vulnerable older surgical patients.

Study 2 Overview (Shenkin et al)

Objective: To assess the accuracy of the 4 ‘A’s Test (4AT) for delirium detection in the medical inpatient setting and to compare the 4AT to the CAM.

Design: Prospective randomized diagnostic test accuracy study.

Setting and participants: This study was conducted in emergency departments and acute medical wards at 3 UK sites (Edinburgh, Bradford, and Sheffield) and enrolled acute medical patients aged 70 years or older without acute life-threatening illnesses and/or coma. Assessors administering the delirium evaluation were nurses or graduate clinical research associates who underwent systematic training in delirium and delirium assessment. Additional training was provided to those administering the CAM but not to those administering the 4AT as the latter is designed to be administered without special training. First, all participants underwent a reference standard delirium assessment using Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) criteria to derive a final definitive diagnosis of delirium via expert consensus (1 psychiatrist and 2 geriatricians). Then, the participants were randomized to either the 4AT or the comparator CAM group using computer-generated pseudo-random numbers, stratified by study site, with block allocation. All assessments were performed by pairs of independent assessors blinded to the results of the other assessment.

Main outcome measures: All participants were evaluated by the reference standard (DSM-IV criteria for delirium) and by either 4AT or CAM instruments for delirium. The accuracy of the 4AT instrument was evaluated by comparing its positive and negative predictive values, sensitivity, and specificity to the reference standard and analyzed via the area under the receiver operating characteristic curve. The diagnostic accuracy of 4AT, compared to the CAM, was evaluated by comparing positive and negative predictive values, sensitivity, and specificity using Fisher’s exact test. The overall performance of 4AT and CAM was summarized using Youden’s Index and the diagnostic odds ratio of sensitivity to specificity.

Results: All 843 individuals enrolled in the study were randomized and 785 were included in the analysis (23 withdrew, 3 lost contact, 32 indeterminate diagnosis, 2 missing outcome). Of the participants analyzed, the mean age was 81.4 [6.4] years, and 12.1% (95/785) had delirium by reference standard assessment, 14.3% (56/392) by 4AT, and 4.7% (18/384) by CAM. The 4AT group had an area under the receiver operating characteristic curve of 0.90 (95% CI, 0.84-0.96), a sensitivity of 76% (95% CI, 61%-87%), and a specificity of 94% (95% CI, 92%-97%). In comparison, the CAM group had a sensitivity of 40% (95% CI, 26%-57%) and a specificity of 100% (95% CI, 98%-100%).

Conclusions: The 4AT is a pragmatic screening test for delirium in a medical space that does not require special training to administer. The use of this instrument may help to improve delirium detection as a part of routine clinical care in hospitalized older adults.

Delirium is an acute confusional state marked by fluctuating mental status, inattention, disorganized thinking, and altered level of consciousness. It is exceedingly common in older patients in both surgical and medical settings and is associated with increased morbidity, mortality, hospital length of stay, institutionalization, and health care costs. Delirium is frequently underdiagnosed in the hospitalized setting, perhaps due to a combination of its waxing and waning nature and a lack of pragmatic and easily implementable screening tools that can be readily administered by clinicians and nonclinicians alike.¹ While the CAM is a well-validated instrument to diagnose delirium, it requires specific training in the rating of each of the cardinal features ascertained through a brief cognitive assessment and takes 5 to 10 minutes to complete. Taken together, given the high patient load for clinicians in the hospital setting, the validation and application of brief delirium screening instruments that can be reliably administered by nonphysicians and nonclinicians may enhance delirium detection in vulnerable patients and consequently improve their outcomes.

In Study 1, Oberhaus et al approach the challenge of underdiagnosing delirium in the postoperative setting by investigating whether the widely accepted long-form CAM and an abbreviated 3-minute version, the 3D-CAM, provide similar delirium detection in older surgical patients. The authors found that both instruments were reliable tests individually (high interrater reliability) and had good overall agreement. However, the 3D-CAM was more likely to yield a positive diagnosis of delirium compared to the long-form CAM, consistent with its purpose as a screening tool with a high sensitivity. It is important to emphasize that the 3D-CAM takes less time to administer, but also requires less extensive training and clinical knowledge than the long-form CAM. Therefore, this instrument meets the prerequisite of a brief screening test that can be rapidly administered by nonclinicians, and if affirmative, followed by a more extensive confirmatory test performed by a clinician. Limitations of this study include a lack of a reference standard structured interview conducted by a physician-rater to better determine the true diagnostic accuracy of both 3D-CAM and CAM assessments, and the use of convenience sampling at a single center, which reduces the generalizability of its findings.

In a similar vein, Shenkin et al in Study 2 attempt to evaluate the utility of the 4AT instrument in diagnosing delirium in older medical inpatients by testing the diagnostic accuracy of the 4AT against a reference standard (ie, DSM-IV–based evaluation by physicians) as well as comparing it to CAM. The 4AT takes less time (~2 minutes) and requires less knowledge and training to administer as compared to the CAM. The study showed that the abbreviated 4AT, compared to CAM, had a higher sensitivity (76% vs 40%) and lower specificity (94% vs 100%) in delirium detection. Thus, akin to the application of 3D-CAM in the postoperative setting, 4AT possesses key characteristics of a brief delirium screening test for older patients in the acute medical setting. In contrast to the Oberhaus et al study, a major strength of this study was the utilization of a reference standard that was validated by expert consensus. This allowed the 4AT and CAM assessments to be compared to a more objective standard, thereby directly testing their diagnostic performance in detecting delirium.

Application for Clinical Practice and System Implementation

The findings from both Study 1 and 2 suggest that using an abbreviated delirium instrument in both surgical and acute medical settings may provide a pragmatic and sensitive method to detect delirium in older patients. The brevity of administration of 3D-CAM (~3 minutes) and 4AT (~2 minutes), combined with their higher sensitivity for detecting delirium compared to CAM, make these instruments potentially effective rapid screening tests for delirium in hospitalized older patients. Importantly, the utilization of such instruments might be a feasible way to mitigate the issue of underdiagnosing delirium in the hospital.

Several additional aspects of these abbreviated delirium instruments increase their suitability for clinical application. Specifically, the 3D-CAM and 4AT require less extensive training and clinical knowledge to both administer and interpret the results than the CAM.² For instance, a multistage, multiday training for CAM is a key factor in maintaining its diagnostic accuracy.^3,4 In contrast, the 3D-CAM requires only a 1- to 2-hour training session, and the 4AT can be administered by a nonclinician without the need for instrument-specific training. Thus, implementation of these instruments can be particularly pragmatic in clinical settings in which the staff involved in delirium screening cannot undergo the substantial training required to administer CAM. Moreover, these abbreviated tests enable nonphysician care team members to assume the role of delirium screener in the hospital. Taken together, the adoption of these abbreviated instruments may facilitate brief screenings of delirium in older patients by caregivers who see them most often—nurses and certified nursing assistants—thereby improving early detection and prevention of delirium-related complications in the hospital.

The feasibility of using abbreviated delirium screening instruments in the hospital setting raises a system implementation question—if these instruments are designed to be administered by those with limited to no training, could nonclinicians, such as hospital volunteers, effectively take on delirium screening roles in the hospital? If volunteers are able to take on this role, the integration of hospital volunteers into the clinical team can greatly expand the capacity for delirium screening in the hospital setting. Further research is warranted to validate the diagnostic accuracy of 3D-CAM and 4AT by nonclinician administrators in order to more broadly adopt this approach to delirium screening.

Practice Points

• Abbreviated delirium screening tools such as 3D-CAM and 4AT may be pragmatic instruments to improve delirium detection in surgical and hospitalized older patients, respectively.
• Further studies are warranted to validate the diagnostic accuracy of 3D-CAM and 4AT by nonclinician administrators in order to more broadly adopt this approach to delirium screening.

Jared Doan, BS, and Fred Ko, MD
Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai

Study 1 Overview (Oberhaus et al)

Objective: To compare the 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) to the long-form Confusion Assessment Method (CAM) in detecting postoperative delirium.

Design: Prospective concurrent comparison of 3D-CAM and CAM evaluations in a cohort of postoperative geriatric patients.

Setting and participants: Eligible participants were patients aged 60 years or older undergoing major elective surgery at Barnes Jewish Hospital (St. Louis, Missouri) who were enrolled in ongoing clinical trials (PODCAST, ENGAGES, SATISFY-SOS) between 2015 and 2018. Surgeries were at least 2 hours in length and required general anesthesia, planned extubation, and a minimum 2-day hospital stay. Investigators were extensively trained in administering 3D-CAM and CAM instruments. Participants were evaluated 2 hours after the end of anesthesia care on the day of surgery, then daily until follow-up was completed per clinical trial protocol or until the participant was determined by CAM to be nondelirious for 3 consecutive days. For each evaluation, both 3D-CAM and CAM assessors approached the participant together, but the evaluation was conducted such that the 3D-CAM assessor was masked to the additional questions ascertained by the long-form CAM assessment. The 3D-CAM or CAM assessor independently scored their respective assessments blinded to the results of the other assessor.

Main outcome measures: Participants were concurrently evaluated for postoperative delirium by both 3D-CAM and long-form CAM assessments. Comparisons between 3D-CAM and CAM scores were made using Cohen κ with repeated measures, generalized linear mixed-effects model, and Bland-Altman analysis.

Main results: Sixteen raters performed 471 concurrent 3D-CAM and CAM assessments in 299 participants (mean [SD] age, 69 [6.5] years). Of these participants, 152 (50.8%) were men, 263 (88.0%) were White, and 211 (70.6%) underwent noncardiac surgery. Both instruments showed good intraclass correlation (0.98 for 3D-CAM, 0.84 for CAM) with good overall agreement (Cohen κ = 0.71; 95% CI, 0.58-0.83). The mixed-effects model indicated a significant disagreement between the 3D-CAM and CAM assessments (estimated difference in fixed effect, –0.68; 95% CI, –1.32 to –0.05; P = .04). The Bland-Altman analysis showed that the probability of a delirium diagnosis with the 3D-CAM was more than twice that with the CAM (probability ratio, 2.78; 95% CI, 2.44-3.23).

Conclusion: The high degree of agreement between 3D-CAM and long-form CAM assessments suggests that the former may be a pragmatic and easy-to-administer clinical tool to screen for postoperative delirium in vulnerable older surgical patients.

Study 2 Overview (Shenkin et al)

Objective: To assess the accuracy of the 4 ‘A’s Test (4AT) for delirium detection in the medical inpatient setting and to compare the 4AT to the CAM.

Design: Prospective randomized diagnostic test accuracy study.

Setting and participants: This study was conducted in emergency departments and acute medical wards at 3 UK sites (Edinburgh, Bradford, and Sheffield) and enrolled acute medical patients aged 70 years or older without acute life-threatening illnesses and/or coma. Assessors administering the delirium evaluation were nurses or graduate clinical research associates who underwent systematic training in delirium and delirium assessment. Additional training was provided to those administering the CAM but not to those administering the 4AT as the latter is designed to be administered without special training. First, all participants underwent a reference standard delirium assessment using Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) criteria to derive a final definitive diagnosis of delirium via expert consensus (1 psychiatrist and 2 geriatricians). Then, the participants were randomized to either the 4AT or the comparator CAM group using computer-generated pseudo-random numbers, stratified by study site, with block allocation. All assessments were performed by pairs of independent assessors blinded to the results of the other assessment.

Main outcome measures: All participants were evaluated by the reference standard (DSM-IV criteria for delirium) and by either 4AT or CAM instruments for delirium. The accuracy of the 4AT instrument was evaluated by comparing its positive and negative predictive values, sensitivity, and specificity to the reference standard and analyzed via the area under the receiver operating characteristic curve. The diagnostic accuracy of 4AT, compared to the CAM, was evaluated by comparing positive and negative predictive values, sensitivity, and specificity using Fisher’s exact test. The overall performance of 4AT and CAM was summarized using Youden’s Index and the diagnostic odds ratio of sensitivity to specificity.

Results: All 843 individuals enrolled in the study were randomized and 785 were included in the analysis (23 withdrew, 3 lost contact, 32 indeterminate diagnosis, 2 missing outcome). Of the participants analyzed, the mean age was 81.4 [6.4] years, and 12.1% (95/785) had delirium by reference standard assessment, 14.3% (56/392) by 4AT, and 4.7% (18/384) by CAM. The 4AT group had an area under the receiver operating characteristic curve of 0.90 (95% CI, 0.84-0.96), a sensitivity of 76% (95% CI, 61%-87%), and a specificity of 94% (95% CI, 92%-97%). In comparison, the CAM group had a sensitivity of 40% (95% CI, 26%-57%) and a specificity of 100% (95% CI, 98%-100%).

Conclusions: The 4AT is a pragmatic screening test for delirium in a medical space that does not require special training to administer. The use of this instrument may help to improve delirium detection as a part of routine clinical care in hospitalized older adults.

Delirium is an acute confusional state marked by fluctuating mental status, inattention, disorganized thinking, and altered level of consciousness. It is exceedingly common in older patients in both surgical and medical settings and is associated with increased morbidity, mortality, hospital length of stay, institutionalization, and health care costs. Delirium is frequently underdiagnosed in the hospitalized setting, perhaps due to a combination of its waxing and waning nature and a lack of pragmatic and easily implementable screening tools that can be readily administered by clinicians and nonclinicians alike.¹ While the CAM is a well-validated instrument to diagnose delirium, it requires specific training in the rating of each of the cardinal features ascertained through a brief cognitive assessment and takes 5 to 10 minutes to complete. Taken together, given the high patient load for clinicians in the hospital setting, the validation and application of brief delirium screening instruments that can be reliably administered by nonphysicians and nonclinicians may enhance delirium detection in vulnerable patients and consequently improve their outcomes.

In Study 1, Oberhaus et al approach the challenge of underdiagnosing delirium in the postoperative setting by investigating whether the widely accepted long-form CAM and an abbreviated 3-minute version, the 3D-CAM, provide similar delirium detection in older surgical patients. The authors found that both instruments were reliable tests individually (high interrater reliability) and had good overall agreement. However, the 3D-CAM was more likely to yield a positive diagnosis of delirium compared to the long-form CAM, consistent with its purpose as a screening tool with a high sensitivity. It is important to emphasize that the 3D-CAM takes less time to administer, but also requires less extensive training and clinical knowledge than the long-form CAM. Therefore, this instrument meets the prerequisite of a brief screening test that can be rapidly administered by nonclinicians, and if affirmative, followed by a more extensive confirmatory test performed by a clinician. Limitations of this study include a lack of a reference standard structured interview conducted by a physician-rater to better determine the true diagnostic accuracy of both 3D-CAM and CAM assessments, and the use of convenience sampling at a single center, which reduces the generalizability of its findings.

In a similar vein, Shenkin et al in Study 2 attempt to evaluate the utility of the 4AT instrument in diagnosing delirium in older medical inpatients by testing the diagnostic accuracy of the 4AT against a reference standard (ie, DSM-IV–based evaluation by physicians) as well as comparing it to CAM. The 4AT takes less time (~2 minutes) and requires less knowledge and training to administer as compared to the CAM. The study showed that the abbreviated 4AT, compared to CAM, had a higher sensitivity (76% vs 40%) and lower specificity (94% vs 100%) in delirium detection. Thus, akin to the application of 3D-CAM in the postoperative setting, 4AT possesses key characteristics of a brief delirium screening test for older patients in the acute medical setting. In contrast to the Oberhaus et al study, a major strength of this study was the utilization of a reference standard that was validated by expert consensus. This allowed the 4AT and CAM assessments to be compared to a more objective standard, thereby directly testing their diagnostic performance in detecting delirium.

Application for Clinical Practice and System Implementation

The findings from both Study 1 and 2 suggest that using an abbreviated delirium instrument in both surgical and acute medical settings may provide a pragmatic and sensitive method to detect delirium in older patients. The brevity of administration of 3D-CAM (~3 minutes) and 4AT (~2 minutes), combined with their higher sensitivity for detecting delirium compared to CAM, make these instruments potentially effective rapid screening tests for delirium in hospitalized older patients. Importantly, the utilization of such instruments might be a feasible way to mitigate the issue of underdiagnosing delirium in the hospital.

Several additional aspects of these abbreviated delirium instruments increase their suitability for clinical application. Specifically, the 3D-CAM and 4AT require less extensive training and clinical knowledge to both administer and interpret the results than the CAM.² For instance, a multistage, multiday training for CAM is a key factor in maintaining its diagnostic accuracy.^3,4 In contrast, the 3D-CAM requires only a 1- to 2-hour training session, and the 4AT can be administered by a nonclinician without the need for instrument-specific training. Thus, implementation of these instruments can be particularly pragmatic in clinical settings in which the staff involved in delirium screening cannot undergo the substantial training required to administer CAM. Moreover, these abbreviated tests enable nonphysician care team members to assume the role of delirium screener in the hospital. Taken together, the adoption of these abbreviated instruments may facilitate brief screenings of delirium in older patients by caregivers who see them most often—nurses and certified nursing assistants—thereby improving early detection and prevention of delirium-related complications in the hospital.

The feasibility of using abbreviated delirium screening instruments in the hospital setting raises a system implementation question—if these instruments are designed to be administered by those with limited to no training, could nonclinicians, such as hospital volunteers, effectively take on delirium screening roles in the hospital? If volunteers are able to take on this role, the integration of hospital volunteers into the clinical team can greatly expand the capacity for delirium screening in the hospital setting. Further research is warranted to validate the diagnostic accuracy of 3D-CAM and 4AT by nonclinician administrators in order to more broadly adopt this approach to delirium screening.

Practice Points

• Abbreviated delirium screening tools such as 3D-CAM and 4AT may be pragmatic instruments to improve delirium detection in surgical and hospitalized older patients, respectively.
• Further studies are warranted to validate the diagnostic accuracy of 3D-CAM and 4AT by nonclinician administrators in order to more broadly adopt this approach to delirium screening.

Jared Doan, BS, and Fred Ko, MD
Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai

SAN DIEGO – The US Department of Veterans Affairs (VA) TeleOncology program has rolled out a virtual tumor board that brings medical professionals together to offer insight and guidance about challenging hematology cases. Over the past 6 months the board has held 10 sessions and reviewed about 20 cases. A small survey found that participants think the meetings are beneficial. 

“Virtual tumor boards help to connect experts across the country to leverage the expertise within the VA,” he-matologist/oncologist Thomas Rodgers, MD, of the Duke Cancer Institute and Durham Veterans Affairs Medical Center, told Federal Practitioner in an interview. He is the lead author of a poster about the program that was pre-sented here at the annual meeting of the Association of VA Hematology/Oncology (AVAHO).

As Dr. Rodgers noted, tumor boards are already in place at some VA centers. However, “they are not available at every VA and often are not set up to cover every cancer type.”

The VA National TeleOncology program created the virtual tumor board program as part of its mission to ex-tend hematology/oncology services across the system. “Cancer care has become increasingly complex. Beyond ad-vancing therapeutics, patient care often involves multiple specialties and medical disciplines,” Dr. Rodgers said. “A tumor board offers a forum for these specialists to communicate with each other in real time, not only to help estab-lish the correct diagnosis and stage of cancer but also to form a consensus on the most fitting treatment option. Think of it as getting all of the people involved in a person’s care in the same room.”

Currently, he said, the virtual tumor boards cover patients with malignant hematology diagnoses such as leuke-mia, multiple myeloma, and lymphomas. “We welcome submissions. If a provider is interested in submitting a case, they can email us and will be provided with a short intake form. Once submitted, we will collect necessary imaging and pathology for review. The provider will then present the patient case on the day of the tumor board.”

Typically, more than 30 medical professionals participate in the virtual tumor boards, Dr. Rodgers said, repre-senting medical oncology/hematology, pathology, radiology, palliative care, pharmacy, social work, and die-tary/nutrition. 

According to the poster presented at AVAHO, 9 participants responded to a survey after 4 tumor board sessions. All found the boards to be beneficial or somewhat beneficial, and 55% reported that they were “highly applicable” to their practice. 

Pathologist Claudio A. Mosse, MD, PhD, of Vanderbilt University Medical Center and VA Tennessee Valley Healthcare System, praised the virtual tumor board program. “It’s been incredibly useful from my end as a pathologist as it shows me which diagnoses are most challenging for my colleagues,” Dr. Mosse said in an inter-view. “Reviewing and then presenting these challenging cases forces me to go into the published literature to come to a unitary diagnosis based on the patient history, radiology, various laboratory tests, and the biopsy I was asked to review.”

He added that “as a pathologist, I learn so much from the hematologists as they discuss the possible therapeutic options, and that strengthens my ability as a pathologist because I have to understand how one diagnosis versus an-other affects their therapeutic decision tree.”

What’s next for the virtual tumor board program? The next step is to expand to solid tumors, said VA Pittsburgh Healthcare System hematologist/oncologist Vida Almario Passero, MD, MBA, chief medical officer of National TeleOncology, in an interview. 

No disclosures were reported.

SAN DIEGO – The US Department of Veterans Affairs (VA) TeleOncology program has rolled out a virtual tumor board that brings medical professionals together to offer insight and guidance about challenging hematology cases. Over the past 6 months the board has held 10 sessions and reviewed about 20 cases. A small survey found that participants think the meetings are beneficial. 

“Virtual tumor boards help to connect experts across the country to leverage the expertise within the VA,” he-matologist/oncologist Thomas Rodgers, MD, of the Duke Cancer Institute and Durham Veterans Affairs Medical Center, told Federal Practitioner in an interview. He is the lead author of a poster about the program that was pre-sented here at the annual meeting of the Association of VA Hematology/Oncology (AVAHO).

As Dr. Rodgers noted, tumor boards are already in place at some VA centers. However, “they are not available at every VA and often are not set up to cover every cancer type.”

The VA National TeleOncology program created the virtual tumor board program as part of its mission to ex-tend hematology/oncology services across the system. “Cancer care has become increasingly complex. Beyond ad-vancing therapeutics, patient care often involves multiple specialties and medical disciplines,” Dr. Rodgers said. “A tumor board offers a forum for these specialists to communicate with each other in real time, not only to help estab-lish the correct diagnosis and stage of cancer but also to form a consensus on the most fitting treatment option. Think of it as getting all of the people involved in a person’s care in the same room.”

Currently, he said, the virtual tumor boards cover patients with malignant hematology diagnoses such as leuke-mia, multiple myeloma, and lymphomas. “We welcome submissions. If a provider is interested in submitting a case, they can email us and will be provided with a short intake form. Once submitted, we will collect necessary imaging and pathology for review. The provider will then present the patient case on the day of the tumor board.”

Typically, more than 30 medical professionals participate in the virtual tumor boards, Dr. Rodgers said, repre-senting medical oncology/hematology, pathology, radiology, palliative care, pharmacy, social work, and die-tary/nutrition. 

According to the poster presented at AVAHO, 9 participants responded to a survey after 4 tumor board sessions. All found the boards to be beneficial or somewhat beneficial, and 55% reported that they were “highly applicable” to their practice. 

Pathologist Claudio A. Mosse, MD, PhD, of Vanderbilt University Medical Center and VA Tennessee Valley Healthcare System, praised the virtual tumor board program. “It’s been incredibly useful from my end as a pathologist as it shows me which diagnoses are most challenging for my colleagues,” Dr. Mosse said in an inter-view. “Reviewing and then presenting these challenging cases forces me to go into the published literature to come to a unitary diagnosis based on the patient history, radiology, various laboratory tests, and the biopsy I was asked to review.”

He added that “as a pathologist, I learn so much from the hematologists as they discuss the possible therapeutic options, and that strengthens my ability as a pathologist because I have to understand how one diagnosis versus an-other affects their therapeutic decision tree.”

What’s next for the virtual tumor board program? The next step is to expand to solid tumors, said VA Pittsburgh Healthcare System hematologist/oncologist Vida Almario Passero, MD, MBA, chief medical officer of National TeleOncology, in an interview. 

No disclosures were reported.

SAN DIEGO – The US Department of Veterans Affairs (VA) TeleOncology program has rolled out a virtual tumor board that brings medical professionals together to offer insight and guidance about challenging hematology cases. Over the past 6 months the board has held 10 sessions and reviewed about 20 cases. A small survey found that participants think the meetings are beneficial. 

“Virtual tumor boards help to connect experts across the country to leverage the expertise within the VA,” he-matologist/oncologist Thomas Rodgers, MD, of the Duke Cancer Institute and Durham Veterans Affairs Medical Center, told Federal Practitioner in an interview. He is the lead author of a poster about the program that was pre-sented here at the annual meeting of the Association of VA Hematology/Oncology (AVAHO).

As Dr. Rodgers noted, tumor boards are already in place at some VA centers. However, “they are not available at every VA and often are not set up to cover every cancer type.”

The VA National TeleOncology program created the virtual tumor board program as part of its mission to ex-tend hematology/oncology services across the system. “Cancer care has become increasingly complex. Beyond ad-vancing therapeutics, patient care often involves multiple specialties and medical disciplines,” Dr. Rodgers said. “A tumor board offers a forum for these specialists to communicate with each other in real time, not only to help estab-lish the correct diagnosis and stage of cancer but also to form a consensus on the most fitting treatment option. Think of it as getting all of the people involved in a person’s care in the same room.”

Currently, he said, the virtual tumor boards cover patients with malignant hematology diagnoses such as leuke-mia, multiple myeloma, and lymphomas. “We welcome submissions. If a provider is interested in submitting a case, they can email us and will be provided with a short intake form. Once submitted, we will collect necessary imaging and pathology for review. The provider will then present the patient case on the day of the tumor board.”

Typically, more than 30 medical professionals participate in the virtual tumor boards, Dr. Rodgers said, repre-senting medical oncology/hematology, pathology, radiology, palliative care, pharmacy, social work, and die-tary/nutrition. 

According to the poster presented at AVAHO, 9 participants responded to a survey after 4 tumor board sessions. All found the boards to be beneficial or somewhat beneficial, and 55% reported that they were “highly applicable” to their practice. 

Pathologist Claudio A. Mosse, MD, PhD, of Vanderbilt University Medical Center and VA Tennessee Valley Healthcare System, praised the virtual tumor board program. “It’s been incredibly useful from my end as a pathologist as it shows me which diagnoses are most challenging for my colleagues,” Dr. Mosse said in an inter-view. “Reviewing and then presenting these challenging cases forces me to go into the published literature to come to a unitary diagnosis based on the patient history, radiology, various laboratory tests, and the biopsy I was asked to review.”

He added that “as a pathologist, I learn so much from the hematologists as they discuss the possible therapeutic options, and that strengthens my ability as a pathologist because I have to understand how one diagnosis versus an-other affects their therapeutic decision tree.”

What’s next for the virtual tumor board program? The next step is to expand to solid tumors, said VA Pittsburgh Healthcare System hematologist/oncologist Vida Almario Passero, MD, MBA, chief medical officer of National TeleOncology, in an interview. 

No disclosures were reported.

Even a little walking may help avert serious illness and death, and a brisk stroll may be especially beneficial, according to a study of nearly 80,000 middle-aged and older adults.

Each additional 2,000 steps per day – up to 10,000 – was associated with 8% to 11% fewer deaths and less heart disease and cancer, the researchers found. Walking quickly had an even stronger link to lower health risks.

The findings were reported in JAMA Internal Medicine. In a separate paper, published in JAMA Neurology, the researchers reported associations between walking and reduced risk of dementia.
 

Moving faster provides a health ‘bonus’

The findings expand on evidence in smaller studies of middle-aged individuals and older women that suggested health benefits from covering less than the widely promoted target of 10,000 steps a day.

The new study supports the ideas that “every step counts” and moving faster provides a health “bonus,” said one of its co-lead authors, Borja del Pozo Cruz, PhD, an associate professor at the University of Southern Denmark, Odense, and a senior researcher in health at the University of Cadiz, Spain.

Dr. Del Pozo Cruz and his coauthors analyzed median daily step counts for 78,500 adults aged 40-79 years in the U.K. Biobank database who agreed to wear an accelerometer for 1 week. Participants’ average age was 61. Fifty-five percent were women and 97% were White.

Steps were categorized as “incidental,” defined as a pace of less than 40 per minute, and “purposeful,” ones taken at the pace of 40 or more per minute. Researchers also calculated peak 30-minute cadence, the average of an individual’s 30 most active minutes in a day.

Participants’ health records were reviewed after 7 years. Each additional 2,000 steps taken was associated with lower all-cause mortality (mean rate of change [MRC] in the hazard ratio, –0.08; 95% confidence interval, –0.11 to –0.06); cardiovascular mortality (MRC, –0.10; 95% CI, –0.15 to –0.06), and cancer mortality (MRC, –0.11; 95% CI, –0.15 to –0.06).

Similar incremental reductions were observed in the incidence of heart disease, defined as fatal and nonfatal coronary heart disease, stroke, and heart failure; and a composite cancer outcome of 13 sites shown to be associated with low physical activity.

Both incidental and purposeful steps were linked to lower rates of mortality and disease. Particularly encouraging, the researchers said, was the benefit associated with incidental steps, which might be more feasible for some individuals than a planned walk.

The association with better outcomes was especially strong for peak-30 cadence, with individuals in the top fifth of intensity having a 34% lower mortality rate compared with those in the bottom fifth – an observation that researchers wrote “reflects the importance of the natural best effort relative to the individual’s capability.”

The analysis adjusted for a variety of factors including age, sex, race, smoking, alcohol use, fruit and vegetable consumption, medication use, family history of cardiovascular disease or cancer, and sleep quality. It also excluded participants who had deaths and illnesses within 2 years of a step assessment to minimize the problem of reverse causation, in which existing health problems cause participants to move less.
 

Data contribute evidence toward step count recommendations

The data are observational and do not prove cause and effect, the researchers noted. Still, the authors said the study “contributes critical evidence toward step count–based recommendations” for physical activity.

Guidelines of the United States and the World Health Organization recommend 150 minutes of moderately intense activity or 75 minutes of vigorous activity weekly plus strength training twice a week.

Given the proliferation of activity trackers in phones and watches, recommendations based on steps could be especially useful for individuals who don’t intentionally record their physical activity, the researchers wrote.

“It’s nice to have a study that puts some science behind steps counts,” cardiologist Nieca Goldberg, MD, a clinical associate professor of medicine at New York University, and a spokesperson for the American Heart Association, said of the findings.

Particularly important, said Dr. Goldberg, who was not involved in the study, is the lack of a minimum threshold for health benefits, since the 10,000-step target may be daunting for some individuals.

Only one in five participants in this latest study achieved 10,000 steps per day, according to the paper.

The authors wrote that promotion of lower step targets “may provide a more realistic and achievable goal for the general adult population,” and longevity gains “may be maximized simply by shifting away from the least-active end of the step-count distribution.”

Dr. Goldberg put it this way: “Take a walk. Try to aspire to 10,000 steps. But if you can only do 6,000 or 8,000, you get benefit there, too.”

Cathy Handy Marshall, MD, MPH, an assistant professor of oncology at Johns Hopkins University, Baltimore, who was not involved in the new study, said the findings can be used to guide “exercise prescriptions,” but more research is needed to tailor recommendations, particularly for individuals who cannot achieve high step counts.

Dr. Del Pozo Cruz said the findings need to be replicated in other populations.

The study authors, Dr. Goldberg, and Dr. Handy Marshall reported no relevant competing interests.

Even a little walking may help avert serious illness and death, and a brisk stroll may be especially beneficial, according to a study of nearly 80,000 middle-aged and older adults.

Each additional 2,000 steps per day – up to 10,000 – was associated with 8% to 11% fewer deaths and less heart disease and cancer, the researchers found. Walking quickly had an even stronger link to lower health risks.

The findings were reported in JAMA Internal Medicine. In a separate paper, published in JAMA Neurology, the researchers reported associations between walking and reduced risk of dementia.
 

Moving faster provides a health ‘bonus’

The findings expand on evidence in smaller studies of middle-aged individuals and older women that suggested health benefits from covering less than the widely promoted target of 10,000 steps a day.

The new study supports the ideas that “every step counts” and moving faster provides a health “bonus,” said one of its co-lead authors, Borja del Pozo Cruz, PhD, an associate professor at the University of Southern Denmark, Odense, and a senior researcher in health at the University of Cadiz, Spain.

Dr. Del Pozo Cruz and his coauthors analyzed median daily step counts for 78,500 adults aged 40-79 years in the U.K. Biobank database who agreed to wear an accelerometer for 1 week. Participants’ average age was 61. Fifty-five percent were women and 97% were White.

Steps were categorized as “incidental,” defined as a pace of less than 40 per minute, and “purposeful,” ones taken at the pace of 40 or more per minute. Researchers also calculated peak 30-minute cadence, the average of an individual’s 30 most active minutes in a day.

Participants’ health records were reviewed after 7 years. Each additional 2,000 steps taken was associated with lower all-cause mortality (mean rate of change [MRC] in the hazard ratio, –0.08; 95% confidence interval, –0.11 to –0.06); cardiovascular mortality (MRC, –0.10; 95% CI, –0.15 to –0.06), and cancer mortality (MRC, –0.11; 95% CI, –0.15 to –0.06).

Similar incremental reductions were observed in the incidence of heart disease, defined as fatal and nonfatal coronary heart disease, stroke, and heart failure; and a composite cancer outcome of 13 sites shown to be associated with low physical activity.

Both incidental and purposeful steps were linked to lower rates of mortality and disease. Particularly encouraging, the researchers said, was the benefit associated with incidental steps, which might be more feasible for some individuals than a planned walk.

The association with better outcomes was especially strong for peak-30 cadence, with individuals in the top fifth of intensity having a 34% lower mortality rate compared with those in the bottom fifth – an observation that researchers wrote “reflects the importance of the natural best effort relative to the individual’s capability.”

The analysis adjusted for a variety of factors including age, sex, race, smoking, alcohol use, fruit and vegetable consumption, medication use, family history of cardiovascular disease or cancer, and sleep quality. It also excluded participants who had deaths and illnesses within 2 years of a step assessment to minimize the problem of reverse causation, in which existing health problems cause participants to move less.
 

Data contribute evidence toward step count recommendations

The data are observational and do not prove cause and effect, the researchers noted. Still, the authors said the study “contributes critical evidence toward step count–based recommendations” for physical activity.

Guidelines of the United States and the World Health Organization recommend 150 minutes of moderately intense activity or 75 minutes of vigorous activity weekly plus strength training twice a week.

Given the proliferation of activity trackers in phones and watches, recommendations based on steps could be especially useful for individuals who don’t intentionally record their physical activity, the researchers wrote.

“It’s nice to have a study that puts some science behind steps counts,” cardiologist Nieca Goldberg, MD, a clinical associate professor of medicine at New York University, and a spokesperson for the American Heart Association, said of the findings.

Particularly important, said Dr. Goldberg, who was not involved in the study, is the lack of a minimum threshold for health benefits, since the 10,000-step target may be daunting for some individuals.

Only one in five participants in this latest study achieved 10,000 steps per day, according to the paper.

The authors wrote that promotion of lower step targets “may provide a more realistic and achievable goal for the general adult population,” and longevity gains “may be maximized simply by shifting away from the least-active end of the step-count distribution.”

Dr. Goldberg put it this way: “Take a walk. Try to aspire to 10,000 steps. But if you can only do 6,000 or 8,000, you get benefit there, too.”

Cathy Handy Marshall, MD, MPH, an assistant professor of oncology at Johns Hopkins University, Baltimore, who was not involved in the new study, said the findings can be used to guide “exercise prescriptions,” but more research is needed to tailor recommendations, particularly for individuals who cannot achieve high step counts.

Dr. Del Pozo Cruz said the findings need to be replicated in other populations.

The study authors, Dr. Goldberg, and Dr. Handy Marshall reported no relevant competing interests.

Even a little walking may help avert serious illness and death, and a brisk stroll may be especially beneficial, according to a study of nearly 80,000 middle-aged and older adults.

Each additional 2,000 steps per day – up to 10,000 – was associated with 8% to 11% fewer deaths and less heart disease and cancer, the researchers found. Walking quickly had an even stronger link to lower health risks.

The findings were reported in JAMA Internal Medicine. In a separate paper, published in JAMA Neurology, the researchers reported associations between walking and reduced risk of dementia.
 

Moving faster provides a health ‘bonus’

The findings expand on evidence in smaller studies of middle-aged individuals and older women that suggested health benefits from covering less than the widely promoted target of 10,000 steps a day.

The new study supports the ideas that “every step counts” and moving faster provides a health “bonus,” said one of its co-lead authors, Borja del Pozo Cruz, PhD, an associate professor at the University of Southern Denmark, Odense, and a senior researcher in health at the University of Cadiz, Spain.

Dr. Del Pozo Cruz and his coauthors analyzed median daily step counts for 78,500 adults aged 40-79 years in the U.K. Biobank database who agreed to wear an accelerometer for 1 week. Participants’ average age was 61. Fifty-five percent were women and 97% were White.

Steps were categorized as “incidental,” defined as a pace of less than 40 per minute, and “purposeful,” ones taken at the pace of 40 or more per minute. Researchers also calculated peak 30-minute cadence, the average of an individual’s 30 most active minutes in a day.

Participants’ health records were reviewed after 7 years. Each additional 2,000 steps taken was associated with lower all-cause mortality (mean rate of change [MRC] in the hazard ratio, –0.08; 95% confidence interval, –0.11 to –0.06); cardiovascular mortality (MRC, –0.10; 95% CI, –0.15 to –0.06), and cancer mortality (MRC, –0.11; 95% CI, –0.15 to –0.06).

Similar incremental reductions were observed in the incidence of heart disease, defined as fatal and nonfatal coronary heart disease, stroke, and heart failure; and a composite cancer outcome of 13 sites shown to be associated with low physical activity.

Both incidental and purposeful steps were linked to lower rates of mortality and disease. Particularly encouraging, the researchers said, was the benefit associated with incidental steps, which might be more feasible for some individuals than a planned walk.

The association with better outcomes was especially strong for peak-30 cadence, with individuals in the top fifth of intensity having a 34% lower mortality rate compared with those in the bottom fifth – an observation that researchers wrote “reflects the importance of the natural best effort relative to the individual’s capability.”

The analysis adjusted for a variety of factors including age, sex, race, smoking, alcohol use, fruit and vegetable consumption, medication use, family history of cardiovascular disease or cancer, and sleep quality. It also excluded participants who had deaths and illnesses within 2 years of a step assessment to minimize the problem of reverse causation, in which existing health problems cause participants to move less.
 

Data contribute evidence toward step count recommendations

The data are observational and do not prove cause and effect, the researchers noted. Still, the authors said the study “contributes critical evidence toward step count–based recommendations” for physical activity.

Guidelines of the United States and the World Health Organization recommend 150 minutes of moderately intense activity or 75 minutes of vigorous activity weekly plus strength training twice a week.

Given the proliferation of activity trackers in phones and watches, recommendations based on steps could be especially useful for individuals who don’t intentionally record their physical activity, the researchers wrote.

“It’s nice to have a study that puts some science behind steps counts,” cardiologist Nieca Goldberg, MD, a clinical associate professor of medicine at New York University, and a spokesperson for the American Heart Association, said of the findings.

Particularly important, said Dr. Goldberg, who was not involved in the study, is the lack of a minimum threshold for health benefits, since the 10,000-step target may be daunting for some individuals.

Only one in five participants in this latest study achieved 10,000 steps per day, according to the paper.

The authors wrote that promotion of lower step targets “may provide a more realistic and achievable goal for the general adult population,” and longevity gains “may be maximized simply by shifting away from the least-active end of the step-count distribution.”

Dr. Goldberg put it this way: “Take a walk. Try to aspire to 10,000 steps. But if you can only do 6,000 or 8,000, you get benefit there, too.”

Cathy Handy Marshall, MD, MPH, an assistant professor of oncology at Johns Hopkins University, Baltimore, who was not involved in the new study, said the findings can be used to guide “exercise prescriptions,” but more research is needed to tailor recommendations, particularly for individuals who cannot achieve high step counts.

Dr. Del Pozo Cruz said the findings need to be replicated in other populations.

The study authors, Dr. Goldberg, and Dr. Handy Marshall reported no relevant competing interests.

After 15 years as a high school teacher at urban schools, I realized adults widely misunderstand that teenagers do not want to talk to them. In fact, most crave finding an adult they can trust and have serious conversations about issues like sex, drugs, and death. G was a sophomore who was going blind from a rare degenerative disease and one day sought my guidance about a sexual orgy he accidentally got in involved in. Was it wrong? Would God send him to hell? Why was he now so anxious after?

Because I was an openly gay teacher, students every semester would come out to me, asking what the “gay scene” was like, or how to deal with a homophobic family. Sometimes, students would seek counsel about an unplanned pregnancy, about abortion. In one instance, a student sought counsel about her violent thoughts, and eventually checked herself into a psychiatric ward. Five separate times, students in my class were murdered and I accompanied my classes through mourning.

Unlike many pediatricians, a teacher has a lot of time with these young adults: daily, sometimes over years. Students often admit they spend more time with their teachers than their parents. I can’t give you that time, but here are some general tips.
 

Attitude promoting trust

My guiding attitude toward teens was that they were my equals. I would “do unto them as I would have them do unto me.” Not less, but also not more – because sometimes “more” can cloak condescension. When I was a student, I trusted teachers who shared their fears and mistakes, not performing under a confessional spotlight, but to establish commonality, to flatten hierarchy. I also trusted those who could set boundaries and wield authority compassionately. Because sometimes I needed a firm hand. And so, as an adult I tried to give this to my students as well.

Although my students and I were equals, our situations are different. That is true with gender, race, and class, and it is also true with adults versus teens. The first step toward treating someone authentically as an equal when in a position of authority is to understand the unique stressors of their life. That means asking questions and listening to what they need.
 

Stressors in a teen’s life

A typical high school junior or senior goes to work 8-10 hours a day. Unpaid. They sit for hours at a small desk in a small room with sometimes 34 others. Most of the time they cannot eat or use their phone. If they need to pee, they need to ask permission. They have to ask permission to speak. And then when they go home, they sit at a small desk again for homework. They often do not even have their own room. They also have to ask for permission to buy something for themselves, for money, for a ride anywhere. Their values are often compromised so they won’t get kicked out of a house or a class. The life of a teen is not at all “carefree” but largely prescribed and with little control.

When I think about my youth and how little freedom, privacy, and control I had compared with now, it softens my attitude to even the rudest student. (Isn’t rudeness often a sign of resistance against an oppressive system?) But, some may say, these teens do not have to worry about bills. But if I think back honestly to my teen years, would I trade the responsibilities I have now for those supposed carefree years? Carefree is not how most teens describe their lives but a nostalgic rosy retrospection adults assign. Almost all teens I taught would rather work to gain some control over their lives. Which is why so many work 4-5 hours after school on top of homework, giving up their weekends, and binding themselves to a “carefree” 60- to 80-hour work week.
 

Talking about drugs, sex, and mental health

Drugs

It’s a good idea to first disarm teens of their fear of judgment or punishment, saying things like: “It’s normal to experiment with drugs, even hard ones.” The most successful, respected adults you see now have, so it’s not a reflection of who you are. Tell me what you’re worried about and it’ll be just between us.

After rapport is established, follow-up questions that elicit and affirm their feelings and thoughts can encourage more revelations: Do you think you have a problem? Why? How do you get your drugs and I’m curious only because finding that out can help us understand risks and solutions. What made you start? And keep on using?
 

Sex

Again, first disarm their fears: You can talk to me freely and confidently about sex: What you do, who you do it with, how you do it, and how often – I know that people are very different in their sexual interests and activities.

It is also good to set up clear boundaries. I had instances where students had romantic interest in me and would use these conversations as overtures. If you feel like your patient may be interested in you, then be explicit about boundaries: I’m a doctor who can point you to resources or offer treatments related to any sexual practice and its consequences, but that is all I am. Anything else is illegal and would end our patient-doctor relationship. (I would also immediately document the interaction and tell it to a witness.)

I never escalated incidences like this because I understood that most teens are naturally curious and often not taught about sexual boundaries, so I tried to make these encounters “teachable moments,” not punitive ones. Many teens are more aware of health consequences, like STDs or pregnancy, than psychological ones. So, it’s useful to ask: When you have sex outside your relationship, how does that make you feel? Does sex with multiple partners make you anxious or guilty afterwards? I like to use straightforward language and normalize taboo sexual practices with an even tone to allow teens to speak truthfully.
 

Suicide/depression

First, disarm and normalize: It is very common for people to have depression or thoughts of suicide. Most of the adults around you probably have and so have I (if that is true). Have you experienced this? Older teens often crave an intelligent open discussion about depression and suicide. If they look particularly distressed, I also tell them that I, and countless others, found strategies to deal with these thoughts. For most older teens, talking about causes of mental health issues and treatments is a breath of fresh air. This is especially true for teens from urban communities who have dealt precociously with death and violence, minority communities where mental health is often stigmatized, and young males whose machismo code can prevent them from acknowledging their feelings.

Some follow-up questions: Where do you think these thoughts come from? And if they don’t know: It’s perfectly normal for there to be no reason. The important thing is that they don’t last too long and that you know that. And if they do, then I can provide you resources and potential treatments.
 

Summary

Treating teens as equals by understanding their situation allows understanding and compassion for their stressors. This motivates an inquisitive and collaborative patient-centric approach that allows a sharing of sensitive topics like drugs, sex, and mental health.

Dr. Nguyen is a resident in psychiatry at the University of California, San Francisco.

*This story was updated on Nov. 3, 2022.

After 15 years as a high school teacher at urban schools, I realized adults widely misunderstand that teenagers do not want to talk to them. In fact, most crave finding an adult they can trust and have serious conversations about issues like sex, drugs, and death. G was a sophomore who was going blind from a rare degenerative disease and one day sought my guidance about a sexual orgy he accidentally got in involved in. Was it wrong? Would God send him to hell? Why was he now so anxious after?

Because I was an openly gay teacher, students every semester would come out to me, asking what the “gay scene” was like, or how to deal with a homophobic family. Sometimes, students would seek counsel about an unplanned pregnancy, about abortion. In one instance, a student sought counsel about her violent thoughts, and eventually checked herself into a psychiatric ward. Five separate times, students in my class were murdered and I accompanied my classes through mourning.

Unlike many pediatricians, a teacher has a lot of time with these young adults: daily, sometimes over years. Students often admit they spend more time with their teachers than their parents. I can’t give you that time, but here are some general tips.
 

Attitude promoting trust

My guiding attitude toward teens was that they were my equals. I would “do unto them as I would have them do unto me.” Not less, but also not more – because sometimes “more” can cloak condescension. When I was a student, I trusted teachers who shared their fears and mistakes, not performing under a confessional spotlight, but to establish commonality, to flatten hierarchy. I also trusted those who could set boundaries and wield authority compassionately. Because sometimes I needed a firm hand. And so, as an adult I tried to give this to my students as well.

Although my students and I were equals, our situations are different. That is true with gender, race, and class, and it is also true with adults versus teens. The first step toward treating someone authentically as an equal when in a position of authority is to understand the unique stressors of their life. That means asking questions and listening to what they need.
 

Stressors in a teen’s life

A typical high school junior or senior goes to work 8-10 hours a day. Unpaid. They sit for hours at a small desk in a small room with sometimes 34 others. Most of the time they cannot eat or use their phone. If they need to pee, they need to ask permission. They have to ask permission to speak. And then when they go home, they sit at a small desk again for homework. They often do not even have their own room. They also have to ask for permission to buy something for themselves, for money, for a ride anywhere. Their values are often compromised so they won’t get kicked out of a house or a class. The life of a teen is not at all “carefree” but largely prescribed and with little control.

When I think about my youth and how little freedom, privacy, and control I had compared with now, it softens my attitude to even the rudest student. (Isn’t rudeness often a sign of resistance against an oppressive system?) But, some may say, these teens do not have to worry about bills. But if I think back honestly to my teen years, would I trade the responsibilities I have now for those supposed carefree years? Carefree is not how most teens describe their lives but a nostalgic rosy retrospection adults assign. Almost all teens I taught would rather work to gain some control over their lives. Which is why so many work 4-5 hours after school on top of homework, giving up their weekends, and binding themselves to a “carefree” 60- to 80-hour work week.
 

Talking about drugs, sex, and mental health

Drugs

It’s a good idea to first disarm teens of their fear of judgment or punishment, saying things like: “It’s normal to experiment with drugs, even hard ones.” The most successful, respected adults you see now have, so it’s not a reflection of who you are. Tell me what you’re worried about and it’ll be just between us.

After rapport is established, follow-up questions that elicit and affirm their feelings and thoughts can encourage more revelations: Do you think you have a problem? Why? How do you get your drugs and I’m curious only because finding that out can help us understand risks and solutions. What made you start? And keep on using?
 

Sex

Again, first disarm their fears: You can talk to me freely and confidently about sex: What you do, who you do it with, how you do it, and how often – I know that people are very different in their sexual interests and activities.

It is also good to set up clear boundaries. I had instances where students had romantic interest in me and would use these conversations as overtures. If you feel like your patient may be interested in you, then be explicit about boundaries: I’m a doctor who can point you to resources or offer treatments related to any sexual practice and its consequences, but that is all I am. Anything else is illegal and would end our patient-doctor relationship. (I would also immediately document the interaction and tell it to a witness.)

I never escalated incidences like this because I understood that most teens are naturally curious and often not taught about sexual boundaries, so I tried to make these encounters “teachable moments,” not punitive ones. Many teens are more aware of health consequences, like STDs or pregnancy, than psychological ones. So, it’s useful to ask: When you have sex outside your relationship, how does that make you feel? Does sex with multiple partners make you anxious or guilty afterwards? I like to use straightforward language and normalize taboo sexual practices with an even tone to allow teens to speak truthfully.
 

Suicide/depression

First, disarm and normalize: It is very common for people to have depression or thoughts of suicide. Most of the adults around you probably have and so have I (if that is true). Have you experienced this? Older teens often crave an intelligent open discussion about depression and suicide. If they look particularly distressed, I also tell them that I, and countless others, found strategies to deal with these thoughts. For most older teens, talking about causes of mental health issues and treatments is a breath of fresh air. This is especially true for teens from urban communities who have dealt precociously with death and violence, minority communities where mental health is often stigmatized, and young males whose machismo code can prevent them from acknowledging their feelings.

Some follow-up questions: Where do you think these thoughts come from? And if they don’t know: It’s perfectly normal for there to be no reason. The important thing is that they don’t last too long and that you know that. And if they do, then I can provide you resources and potential treatments.
 

Summary

Treating teens as equals by understanding their situation allows understanding and compassion for their stressors. This motivates an inquisitive and collaborative patient-centric approach that allows a sharing of sensitive topics like drugs, sex, and mental health.

Dr. Nguyen is a resident in psychiatry at the University of California, San Francisco.

*This story was updated on Nov. 3, 2022.

After 15 years as a high school teacher at urban schools, I realized adults widely misunderstand that teenagers do not want to talk to them. In fact, most crave finding an adult they can trust and have serious conversations about issues like sex, drugs, and death. G was a sophomore who was going blind from a rare degenerative disease and one day sought my guidance about a sexual orgy he accidentally got in involved in. Was it wrong? Would God send him to hell? Why was he now so anxious after?

Because I was an openly gay teacher, students every semester would come out to me, asking what the “gay scene” was like, or how to deal with a homophobic family. Sometimes, students would seek counsel about an unplanned pregnancy, about abortion. In one instance, a student sought counsel about her violent thoughts, and eventually checked herself into a psychiatric ward. Five separate times, students in my class were murdered and I accompanied my classes through mourning.

Unlike many pediatricians, a teacher has a lot of time with these young adults: daily, sometimes over years. Students often admit they spend more time with their teachers than their parents. I can’t give you that time, but here are some general tips.
 

Attitude promoting trust

My guiding attitude toward teens was that they were my equals. I would “do unto them as I would have them do unto me.” Not less, but also not more – because sometimes “more” can cloak condescension. When I was a student, I trusted teachers who shared their fears and mistakes, not performing under a confessional spotlight, but to establish commonality, to flatten hierarchy. I also trusted those who could set boundaries and wield authority compassionately. Because sometimes I needed a firm hand. And so, as an adult I tried to give this to my students as well.

Although my students and I were equals, our situations are different. That is true with gender, race, and class, and it is also true with adults versus teens. The first step toward treating someone authentically as an equal when in a position of authority is to understand the unique stressors of their life. That means asking questions and listening to what they need.
 

Stressors in a teen’s life

A typical high school junior or senior goes to work 8-10 hours a day. Unpaid. They sit for hours at a small desk in a small room with sometimes 34 others. Most of the time they cannot eat or use their phone. If they need to pee, they need to ask permission. They have to ask permission to speak. And then when they go home, they sit at a small desk again for homework. They often do not even have their own room. They also have to ask for permission to buy something for themselves, for money, for a ride anywhere. Their values are often compromised so they won’t get kicked out of a house or a class. The life of a teen is not at all “carefree” but largely prescribed and with little control.

When I think about my youth and how little freedom, privacy, and control I had compared with now, it softens my attitude to even the rudest student. (Isn’t rudeness often a sign of resistance against an oppressive system?) But, some may say, these teens do not have to worry about bills. But if I think back honestly to my teen years, would I trade the responsibilities I have now for those supposed carefree years? Carefree is not how most teens describe their lives but a nostalgic rosy retrospection adults assign. Almost all teens I taught would rather work to gain some control over their lives. Which is why so many work 4-5 hours after school on top of homework, giving up their weekends, and binding themselves to a “carefree” 60- to 80-hour work week.
 

Talking about drugs, sex, and mental health

Drugs

It’s a good idea to first disarm teens of their fear of judgment or punishment, saying things like: “It’s normal to experiment with drugs, even hard ones.” The most successful, respected adults you see now have, so it’s not a reflection of who you are. Tell me what you’re worried about and it’ll be just between us.

After rapport is established, follow-up questions that elicit and affirm their feelings and thoughts can encourage more revelations: Do you think you have a problem? Why? How do you get your drugs and I’m curious only because finding that out can help us understand risks and solutions. What made you start? And keep on using?
 

Sex

Again, first disarm their fears: You can talk to me freely and confidently about sex: What you do, who you do it with, how you do it, and how often – I know that people are very different in their sexual interests and activities.

It is also good to set up clear boundaries. I had instances where students had romantic interest in me and would use these conversations as overtures. If you feel like your patient may be interested in you, then be explicit about boundaries: I’m a doctor who can point you to resources or offer treatments related to any sexual practice and its consequences, but that is all I am. Anything else is illegal and would end our patient-doctor relationship. (I would also immediately document the interaction and tell it to a witness.)

I never escalated incidences like this because I understood that most teens are naturally curious and often not taught about sexual boundaries, so I tried to make these encounters “teachable moments,” not punitive ones. Many teens are more aware of health consequences, like STDs or pregnancy, than psychological ones. So, it’s useful to ask: When you have sex outside your relationship, how does that make you feel? Does sex with multiple partners make you anxious or guilty afterwards? I like to use straightforward language and normalize taboo sexual practices with an even tone to allow teens to speak truthfully.
 

Suicide/depression

First, disarm and normalize: It is very common for people to have depression or thoughts of suicide. Most of the adults around you probably have and so have I (if that is true). Have you experienced this? Older teens often crave an intelligent open discussion about depression and suicide. If they look particularly distressed, I also tell them that I, and countless others, found strategies to deal with these thoughts. For most older teens, talking about causes of mental health issues and treatments is a breath of fresh air. This is especially true for teens from urban communities who have dealt precociously with death and violence, minority communities where mental health is often stigmatized, and young males whose machismo code can prevent them from acknowledging their feelings.

Some follow-up questions: Where do you think these thoughts come from? And if they don’t know: It’s perfectly normal for there to be no reason. The important thing is that they don’t last too long and that you know that. And if they do, then I can provide you resources and potential treatments.
 

Summary

Treating teens as equals by understanding their situation allows understanding and compassion for their stressors. This motivates an inquisitive and collaborative patient-centric approach that allows a sharing of sensitive topics like drugs, sex, and mental health.

Dr. Nguyen is a resident in psychiatry at the University of California, San Francisco.

*This story was updated on Nov. 3, 2022.