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Turning the Tide [editorial]
Are any alternative therapies effective in treating asthma?
Yes, some are. Acupuncture relieves subjective symptoms of asthma and reduces medication use in mild to moderate asthma (strength of recommendation [SOR]: A, based on systematic review of randomized controlled trials [RCTs] of variable quality). Herbal medications, such as Ginkgo biloba, appear to improve lung function, while herbs such as Tylophora indica and Tsumura saiboku-to may decrease asthma symptoms (SOR: B, based on systematic review of RCTs with poor methodology). No evidence, however, supports the use of room air ionizers, manual therapy, homeopathy, or mind-body therapy for treatment of asthma (SOR: A, based on systematic reviews and meta-analyses of RCTs and individual RCTs).
Though this research is interesting, we should adhere to current guidelines
Vincent Lo, MD
San Joaquin General Hospital, French Camp, Calif
Guidelines for the diagnosis and management of asthma are widely disseminated by the National Asthma Education and Prevention Program through its Expert Panel Reports (updated in 2002).1 Nevertheless, nearly 500,000 hospitalizations, 2 million emergency department visits, and 5000 deaths were reported annually in the US among those who have asthma.2 Furthermore, a significant difference in asthma prevalence, health care use, and mortality was found among different ethnic groups.1
Poor patient understanding of asthma control, nonadherence to medication regimens, cultural beliefs, and disparity of access to the health care system, together with physicians’ lack of close monitoring and inadequate compliance with national asthma guidelines, contribute to suboptimal control of chronic asthma. Family physicians must guide and empower their patients with the knowledge and responsibility of how to manage their asthma. For now, we should adhere to current national guidelines of management of asthma and avoid routine recommendation of any complimentary alternative treatments.
Evidence summary
Although complementary and alternative medicine (CAM) therapies are widely used, the overall body of research into CAM for asthma is still small and of limited quality. Interpreting the research is hampered by lack of standardized therapeutic approaches, lack of accepted methods for appropriate trials, and the fact that many CAM treatments are used as part of a multi-pronged, individualized approach to treatment in actual practice. Our search found 4 good-quality systematic reviews of RCTs, 1 good-quality systematic review of randomized trials, and 1 small additional pilot RCT of various CAM treatments for asthma.
Acupuncture and herbals provide some benefit
While a Cochrane review of 11 RCTs with variable trial quality and a total of 324 participants found that acupuncture had no significant effect on pulmonary function or global assessment of well-being, the review noted that some studies reported significant positive changes in daily symptoms, reductions in medication use, and improved quality of life. This suggests that some patients with mild to moderate asthma may benefit from acupuncture.3 In 1 RCT, improvement in general well-being was reported by 79% of 38 patients receiving acupuncture compared with 47% of 18 patients in the control group.4
When it comes to herbal remedies, a good-quality systematic review5 of 17 trials, with overall poor methodological quality and a total of 1445 participants, reported significant improvements in clinically relevant measures with 6 different herbal medicines.
- Ginkgo biloba liquor increased forced expiratory volume in 1 second (FEV1) by 10% at 4 weeks and by a more clinically relevant 15% at 8 weeks (significantly greater than placebo, P<.05).
- Invigorating Kidney for Preventing Asthma (IKPA) tablets increased FEV1 by 30% at 3 months compared with 17% in controls (P<.05).
- Wenyang Tonglulo Mixture (WTM) improved FEV1 by 30% at 8 weeks compared with a 16% increase in the control group using oral salbutamol and inhaled beclomethasone (P<.05).
- Dried ivy extract, thought to work as both a secretolytic and bronchospasmolytic, reduced airway resistance in children by 23.6% compared with placebo (P=.036).
- Tylophora indica (a rare herb also known as Indian ipecac) provided significant improvement in nocturnal dyspnea when compared with controls (P<.01) in a study that relied on patients’ symptom diaries.
- Tsumura saiboku-to (TJ-96) provided patients in one RCT with significant, but unspecified, asthma symptom relief when compared with those in a control group (P<.01).5
Other therapies didn’t quite make the grade
Homeopathy. A Cochrane review of 6 RCTs of mixed quality, with a total of 556 patients, concluded the evidence is insufficient to evaluate the possible role of homeopathy for the treatment of asthma, due to heterogeneity of interventions, patient populations, and outcome assessments. Each study evaluated a different homeopathic remedy, making any overall assessment difficult.
The review notes there have been only limited attempts to study a complete “package of care,” which includes the in-depth, one-on-one consultation, treatment, and follow-up that characterizes most homeopathic treatment in practice.6
Room air ionizers. A Cochrane review of 6 good-quality trials with a total of 106 participants reported no significant effect of room air ionizers on pulmonary function measures, symptoms, or medication use.7
Manual therapy. A Cochrane review8 of 3 moderate- to poor-quality RCTs with 156 participants reported no significant effect of chiropractic spinal manipulation (2 trials) or massage therapy (1 trial) on lung function, asthma symptoms, or medication use.
Mind-body therapy. A pilot RCT9 with 33 adults found a nonsignificant reduction in medication use among the subjects practicing mental imagery, but no overall effect on lung function or quality-of-life measures.
Recommendations from others
The New Zealand Guideline Group (NZGG)10 gives a Grade B recommendation for Buteyko Breathing Techniques as an intervention that may be helpful in reducing acute exacerbation medication use and improving patient quality of life. However, the NZGG did not find other benefits to this intervention and noted that it might be costly for the patient to obtain training in these techniques. The NZGG further recommends as a good practice point that healthcare professionals be open to the use of CAM therapies and that such therapies be tried by patients who are interested in them, with monitoring and self-assessment to assist patients in determining which therapies are of value.
1. Guidelines for the diagnosis and management of asthma. Update on selected topics 2002. Available at: www.nhlbi.nih.gov/guidelines/asthma/index.htm. Accessed on March 30, 2007.
2. Mannino DM, Home DW, Akinbami LJ, Morrman JE, Guynn C, Redd SC. Surveillance of Asthma—1980–1999. MMWR Surveill Summ 2002;51:1-13.
3. McCarney RW, Brinkhaus B, Lasserson TJ, Linde K. Acupuncture for chronic asthma. Cochrane Database Syst Rev 2004;(1):CD000008.-
4. Joos S, Schott C, Zou H, Daniel V, Martin E. Immunomodulatory effects of acupuncture in the treatment of allergic asthma: a randomized controlled study. J Altern Complementary Med 2000;6:519-525.
5. Huntley A, Ernst E. Herbal medicines for asthma: a systemic review. Thorax 2000;55:925-929.
6. McCarney RW, Linde K, Lasserson TJ. Homeopathy for chronic asthma. Cochrane Database Syst Rev 2004;(1):CD000353.-
7. Blackhall K, Appleton S, Cates FJ. Ionisers for chronic asthma. Cochrane Database Syst Rev 2003;(3):CD002986.-
8. Hondras MA, Jones LK, Jones AP. Manual therapy for asthma. Cochrane Database Syst Rev 2005;(2):CD001002.-
9. Epstein GN, Halper JP, Barrett EA, et al. A pilot study of mind-body changes in adults with asthma who practice mental imagery. Alternative Therapies 2004;10:66-71.
10. New Zealand Guidelines Group (NZGG) The diagnosis and treatment of adult asthma. Best Practice Evidence-Based Guideline. Wellington, NZ: NZGG; 2007. Available at: www.nzgg.org.nz/guidelines/0003/Full_text_Guideline.pdf. Accessed on March 30, 2007.
Yes, some are. Acupuncture relieves subjective symptoms of asthma and reduces medication use in mild to moderate asthma (strength of recommendation [SOR]: A, based on systematic review of randomized controlled trials [RCTs] of variable quality). Herbal medications, such as Ginkgo biloba, appear to improve lung function, while herbs such as Tylophora indica and Tsumura saiboku-to may decrease asthma symptoms (SOR: B, based on systematic review of RCTs with poor methodology). No evidence, however, supports the use of room air ionizers, manual therapy, homeopathy, or mind-body therapy for treatment of asthma (SOR: A, based on systematic reviews and meta-analyses of RCTs and individual RCTs).
Though this research is interesting, we should adhere to current guidelines
Vincent Lo, MD
San Joaquin General Hospital, French Camp, Calif
Guidelines for the diagnosis and management of asthma are widely disseminated by the National Asthma Education and Prevention Program through its Expert Panel Reports (updated in 2002).1 Nevertheless, nearly 500,000 hospitalizations, 2 million emergency department visits, and 5000 deaths were reported annually in the US among those who have asthma.2 Furthermore, a significant difference in asthma prevalence, health care use, and mortality was found among different ethnic groups.1
Poor patient understanding of asthma control, nonadherence to medication regimens, cultural beliefs, and disparity of access to the health care system, together with physicians’ lack of close monitoring and inadequate compliance with national asthma guidelines, contribute to suboptimal control of chronic asthma. Family physicians must guide and empower their patients with the knowledge and responsibility of how to manage their asthma. For now, we should adhere to current national guidelines of management of asthma and avoid routine recommendation of any complimentary alternative treatments.
Evidence summary
Although complementary and alternative medicine (CAM) therapies are widely used, the overall body of research into CAM for asthma is still small and of limited quality. Interpreting the research is hampered by lack of standardized therapeutic approaches, lack of accepted methods for appropriate trials, and the fact that many CAM treatments are used as part of a multi-pronged, individualized approach to treatment in actual practice. Our search found 4 good-quality systematic reviews of RCTs, 1 good-quality systematic review of randomized trials, and 1 small additional pilot RCT of various CAM treatments for asthma.
Acupuncture and herbals provide some benefit
While a Cochrane review of 11 RCTs with variable trial quality and a total of 324 participants found that acupuncture had no significant effect on pulmonary function or global assessment of well-being, the review noted that some studies reported significant positive changes in daily symptoms, reductions in medication use, and improved quality of life. This suggests that some patients with mild to moderate asthma may benefit from acupuncture.3 In 1 RCT, improvement in general well-being was reported by 79% of 38 patients receiving acupuncture compared with 47% of 18 patients in the control group.4
When it comes to herbal remedies, a good-quality systematic review5 of 17 trials, with overall poor methodological quality and a total of 1445 participants, reported significant improvements in clinically relevant measures with 6 different herbal medicines.
- Ginkgo biloba liquor increased forced expiratory volume in 1 second (FEV1) by 10% at 4 weeks and by a more clinically relevant 15% at 8 weeks (significantly greater than placebo, P<.05).
- Invigorating Kidney for Preventing Asthma (IKPA) tablets increased FEV1 by 30% at 3 months compared with 17% in controls (P<.05).
- Wenyang Tonglulo Mixture (WTM) improved FEV1 by 30% at 8 weeks compared with a 16% increase in the control group using oral salbutamol and inhaled beclomethasone (P<.05).
- Dried ivy extract, thought to work as both a secretolytic and bronchospasmolytic, reduced airway resistance in children by 23.6% compared with placebo (P=.036).
- Tylophora indica (a rare herb also known as Indian ipecac) provided significant improvement in nocturnal dyspnea when compared with controls (P<.01) in a study that relied on patients’ symptom diaries.
- Tsumura saiboku-to (TJ-96) provided patients in one RCT with significant, but unspecified, asthma symptom relief when compared with those in a control group (P<.01).5
Other therapies didn’t quite make the grade
Homeopathy. A Cochrane review of 6 RCTs of mixed quality, with a total of 556 patients, concluded the evidence is insufficient to evaluate the possible role of homeopathy for the treatment of asthma, due to heterogeneity of interventions, patient populations, and outcome assessments. Each study evaluated a different homeopathic remedy, making any overall assessment difficult.
The review notes there have been only limited attempts to study a complete “package of care,” which includes the in-depth, one-on-one consultation, treatment, and follow-up that characterizes most homeopathic treatment in practice.6
Room air ionizers. A Cochrane review of 6 good-quality trials with a total of 106 participants reported no significant effect of room air ionizers on pulmonary function measures, symptoms, or medication use.7
Manual therapy. A Cochrane review8 of 3 moderate- to poor-quality RCTs with 156 participants reported no significant effect of chiropractic spinal manipulation (2 trials) or massage therapy (1 trial) on lung function, asthma symptoms, or medication use.
Mind-body therapy. A pilot RCT9 with 33 adults found a nonsignificant reduction in medication use among the subjects practicing mental imagery, but no overall effect on lung function or quality-of-life measures.
Recommendations from others
The New Zealand Guideline Group (NZGG)10 gives a Grade B recommendation for Buteyko Breathing Techniques as an intervention that may be helpful in reducing acute exacerbation medication use and improving patient quality of life. However, the NZGG did not find other benefits to this intervention and noted that it might be costly for the patient to obtain training in these techniques. The NZGG further recommends as a good practice point that healthcare professionals be open to the use of CAM therapies and that such therapies be tried by patients who are interested in them, with monitoring and self-assessment to assist patients in determining which therapies are of value.
Yes, some are. Acupuncture relieves subjective symptoms of asthma and reduces medication use in mild to moderate asthma (strength of recommendation [SOR]: A, based on systematic review of randomized controlled trials [RCTs] of variable quality). Herbal medications, such as Ginkgo biloba, appear to improve lung function, while herbs such as Tylophora indica and Tsumura saiboku-to may decrease asthma symptoms (SOR: B, based on systematic review of RCTs with poor methodology). No evidence, however, supports the use of room air ionizers, manual therapy, homeopathy, or mind-body therapy for treatment of asthma (SOR: A, based on systematic reviews and meta-analyses of RCTs and individual RCTs).
Though this research is interesting, we should adhere to current guidelines
Vincent Lo, MD
San Joaquin General Hospital, French Camp, Calif
Guidelines for the diagnosis and management of asthma are widely disseminated by the National Asthma Education and Prevention Program through its Expert Panel Reports (updated in 2002).1 Nevertheless, nearly 500,000 hospitalizations, 2 million emergency department visits, and 5000 deaths were reported annually in the US among those who have asthma.2 Furthermore, a significant difference in asthma prevalence, health care use, and mortality was found among different ethnic groups.1
Poor patient understanding of asthma control, nonadherence to medication regimens, cultural beliefs, and disparity of access to the health care system, together with physicians’ lack of close monitoring and inadequate compliance with national asthma guidelines, contribute to suboptimal control of chronic asthma. Family physicians must guide and empower their patients with the knowledge and responsibility of how to manage their asthma. For now, we should adhere to current national guidelines of management of asthma and avoid routine recommendation of any complimentary alternative treatments.
Evidence summary
Although complementary and alternative medicine (CAM) therapies are widely used, the overall body of research into CAM for asthma is still small and of limited quality. Interpreting the research is hampered by lack of standardized therapeutic approaches, lack of accepted methods for appropriate trials, and the fact that many CAM treatments are used as part of a multi-pronged, individualized approach to treatment in actual practice. Our search found 4 good-quality systematic reviews of RCTs, 1 good-quality systematic review of randomized trials, and 1 small additional pilot RCT of various CAM treatments for asthma.
Acupuncture and herbals provide some benefit
While a Cochrane review of 11 RCTs with variable trial quality and a total of 324 participants found that acupuncture had no significant effect on pulmonary function or global assessment of well-being, the review noted that some studies reported significant positive changes in daily symptoms, reductions in medication use, and improved quality of life. This suggests that some patients with mild to moderate asthma may benefit from acupuncture.3 In 1 RCT, improvement in general well-being was reported by 79% of 38 patients receiving acupuncture compared with 47% of 18 patients in the control group.4
When it comes to herbal remedies, a good-quality systematic review5 of 17 trials, with overall poor methodological quality and a total of 1445 participants, reported significant improvements in clinically relevant measures with 6 different herbal medicines.
- Ginkgo biloba liquor increased forced expiratory volume in 1 second (FEV1) by 10% at 4 weeks and by a more clinically relevant 15% at 8 weeks (significantly greater than placebo, P<.05).
- Invigorating Kidney for Preventing Asthma (IKPA) tablets increased FEV1 by 30% at 3 months compared with 17% in controls (P<.05).
- Wenyang Tonglulo Mixture (WTM) improved FEV1 by 30% at 8 weeks compared with a 16% increase in the control group using oral salbutamol and inhaled beclomethasone (P<.05).
- Dried ivy extract, thought to work as both a secretolytic and bronchospasmolytic, reduced airway resistance in children by 23.6% compared with placebo (P=.036).
- Tylophora indica (a rare herb also known as Indian ipecac) provided significant improvement in nocturnal dyspnea when compared with controls (P<.01) in a study that relied on patients’ symptom diaries.
- Tsumura saiboku-to (TJ-96) provided patients in one RCT with significant, but unspecified, asthma symptom relief when compared with those in a control group (P<.01).5
Other therapies didn’t quite make the grade
Homeopathy. A Cochrane review of 6 RCTs of mixed quality, with a total of 556 patients, concluded the evidence is insufficient to evaluate the possible role of homeopathy for the treatment of asthma, due to heterogeneity of interventions, patient populations, and outcome assessments. Each study evaluated a different homeopathic remedy, making any overall assessment difficult.
The review notes there have been only limited attempts to study a complete “package of care,” which includes the in-depth, one-on-one consultation, treatment, and follow-up that characterizes most homeopathic treatment in practice.6
Room air ionizers. A Cochrane review of 6 good-quality trials with a total of 106 participants reported no significant effect of room air ionizers on pulmonary function measures, symptoms, or medication use.7
Manual therapy. A Cochrane review8 of 3 moderate- to poor-quality RCTs with 156 participants reported no significant effect of chiropractic spinal manipulation (2 trials) or massage therapy (1 trial) on lung function, asthma symptoms, or medication use.
Mind-body therapy. A pilot RCT9 with 33 adults found a nonsignificant reduction in medication use among the subjects practicing mental imagery, but no overall effect on lung function or quality-of-life measures.
Recommendations from others
The New Zealand Guideline Group (NZGG)10 gives a Grade B recommendation for Buteyko Breathing Techniques as an intervention that may be helpful in reducing acute exacerbation medication use and improving patient quality of life. However, the NZGG did not find other benefits to this intervention and noted that it might be costly for the patient to obtain training in these techniques. The NZGG further recommends as a good practice point that healthcare professionals be open to the use of CAM therapies and that such therapies be tried by patients who are interested in them, with monitoring and self-assessment to assist patients in determining which therapies are of value.
1. Guidelines for the diagnosis and management of asthma. Update on selected topics 2002. Available at: www.nhlbi.nih.gov/guidelines/asthma/index.htm. Accessed on March 30, 2007.
2. Mannino DM, Home DW, Akinbami LJ, Morrman JE, Guynn C, Redd SC. Surveillance of Asthma—1980–1999. MMWR Surveill Summ 2002;51:1-13.
3. McCarney RW, Brinkhaus B, Lasserson TJ, Linde K. Acupuncture for chronic asthma. Cochrane Database Syst Rev 2004;(1):CD000008.-
4. Joos S, Schott C, Zou H, Daniel V, Martin E. Immunomodulatory effects of acupuncture in the treatment of allergic asthma: a randomized controlled study. J Altern Complementary Med 2000;6:519-525.
5. Huntley A, Ernst E. Herbal medicines for asthma: a systemic review. Thorax 2000;55:925-929.
6. McCarney RW, Linde K, Lasserson TJ. Homeopathy for chronic asthma. Cochrane Database Syst Rev 2004;(1):CD000353.-
7. Blackhall K, Appleton S, Cates FJ. Ionisers for chronic asthma. Cochrane Database Syst Rev 2003;(3):CD002986.-
8. Hondras MA, Jones LK, Jones AP. Manual therapy for asthma. Cochrane Database Syst Rev 2005;(2):CD001002.-
9. Epstein GN, Halper JP, Barrett EA, et al. A pilot study of mind-body changes in adults with asthma who practice mental imagery. Alternative Therapies 2004;10:66-71.
10. New Zealand Guidelines Group (NZGG) The diagnosis and treatment of adult asthma. Best Practice Evidence-Based Guideline. Wellington, NZ: NZGG; 2007. Available at: www.nzgg.org.nz/guidelines/0003/Full_text_Guideline.pdf. Accessed on March 30, 2007.
1. Guidelines for the diagnosis and management of asthma. Update on selected topics 2002. Available at: www.nhlbi.nih.gov/guidelines/asthma/index.htm. Accessed on March 30, 2007.
2. Mannino DM, Home DW, Akinbami LJ, Morrman JE, Guynn C, Redd SC. Surveillance of Asthma—1980–1999. MMWR Surveill Summ 2002;51:1-13.
3. McCarney RW, Brinkhaus B, Lasserson TJ, Linde K. Acupuncture for chronic asthma. Cochrane Database Syst Rev 2004;(1):CD000008.-
4. Joos S, Schott C, Zou H, Daniel V, Martin E. Immunomodulatory effects of acupuncture in the treatment of allergic asthma: a randomized controlled study. J Altern Complementary Med 2000;6:519-525.
5. Huntley A, Ernst E. Herbal medicines for asthma: a systemic review. Thorax 2000;55:925-929.
6. McCarney RW, Linde K, Lasserson TJ. Homeopathy for chronic asthma. Cochrane Database Syst Rev 2004;(1):CD000353.-
7. Blackhall K, Appleton S, Cates FJ. Ionisers for chronic asthma. Cochrane Database Syst Rev 2003;(3):CD002986.-
8. Hondras MA, Jones LK, Jones AP. Manual therapy for asthma. Cochrane Database Syst Rev 2005;(2):CD001002.-
9. Epstein GN, Halper JP, Barrett EA, et al. A pilot study of mind-body changes in adults with asthma who practice mental imagery. Alternative Therapies 2004;10:66-71.
10. New Zealand Guidelines Group (NZGG) The diagnosis and treatment of adult asthma. Best Practice Evidence-Based Guideline. Wellington, NZ: NZGG; 2007. Available at: www.nzgg.org.nz/guidelines/0003/Full_text_Guideline.pdf. Accessed on March 30, 2007.
Evidence-based answers from the Family Physicians Inquiries Network
Treating posttraumatic stress in motor vehicle accident survivors
Stopped at a red light, Mr. O glances in the rearview mirror and sees headlights coming up fast. The sport utility vehicle behind him is not slowing down. He braces himself as the SUV plows into the back of his car, snapping his head back and forth violently.
As white smoke fills his eyes and lungs. Mr. O realizes he has been pushed into the intersection, and for a moment thinks about never seeing his wife and children again. As he hears tires screeching, his car is struck by a truck.
Mr. O does not die, as he feared, but 6 months later he is “just not ready” to return to work. The doctor who is treating his whiplash injury refers him for evaluation of lingering anxiety.
Posttraumatic stress disorder (PTSD) resulting from a motor vehicle accident (MVA) can have a persistent disabling effect. To help you effectively treat patients such as Mr. O, this article examines:
- common PTSD symptoms in accident survivors
- recommended diagnostic interviews and assessment tools
- techniques for using psychotherapy to overcome residual PTSD symptoms.
CASE CONTINUED: Lingering impairment
In the 6 months since the accident, Mr. O’s sleep is disrupted by pain and worry; when he can sleep, he frequently has nightmares about the accident. Mr. O feels anxious and irritable, and thoughts of that evening play over and over in his mind.
Mr. O doesn’t like to talk about the accident and has not resumed driving. He avoids all but required trips, such as to doctors’ appointments, which he endures with extreme anxiety. Whenever his wife drives without him, he insists that she immediately call him when she reaches her destination. At the same time, he feels emotionally distant from her and the children. He shows little interest in hobbies he’d previously enjoyed.
3 symptom clusters of PTSD
To meet DSM-IV-TR criteria for PTSD, a person must have experienced, witnessed, or been confronted by an event that involved actual or threatened death or serious injury, to which he responded with intense fear, helplessness, or horror.1 PTSD’s 3 symptom clusters—reexperiencing, avoidance/numbing, and hyperarousal—encompass 17 core symptoms, and a patient must exhibit at least the minimum number of symptoms from each cluster (Table 1).
MVA survivors with PTSD often have intrusive memories and nightmares. They might avoid talking about the accident and resist or abstain from driving or traveling by car. They often fear and avoid people, places, activities, and reminders of the MVA that can trigger upsetting reactions, such as anxiety, tachycardia, and panic. They may be irritable, detached, or estranged from loved ones, or have difficulty sleeping or concentrating. These symptoms must persist for ≥30 days and cause clinically significant distress and impaired functioning for a person to meet the criteria for chronic PTSD.
Table 1
Patients experience 3 ‘clusters’ of PTSD symptoms
Symptom cluster | Symptoms |
---|---|
Reexperiencing (≥1 required) |
|
Avoidance/numbing (≥3 required) |
|
Hyperarousal (≥2 required) |
|
Note: In addition to having the minimum number of symptoms from each cluster as indicated above, for a patient to meet PTSD criteria, symptoms must cause clinically significant distress and impairment in functioning. | |
PTSD: posttraumatic stress disorder | |
Source: DSM-IV-TR |
CASE CONTINUED: Reaching a diagnosis
Using a combination of interviews and self-report measures, the psychiatrist diagnoses Mr. O with chronic PTSD. Since the MVA, Mr. O has developed the required number of reexperiencing, avoidance/numbing, and hyperarousal symptoms. These symptoms have persisted for >30 days and significantly impair his functioning.
Use multiple assessment tools
To assess an MVA survivor for PTSD and related problems, we advocate using a combination of:
- unstructured clinical interviews
- structured clinical interviews
- self-report measures.
Also collect information from collateral sources, such as patients’ spouses or significant others, when appropriate and available.
In an unstructured interview, obtain:
- a thorough, detailed description of the MVA, including what occurred and the patient’s thoughts and feelings during and since the accident
- a description of physical injuries, medical treatments, and medication use.
This information can rule out physical causes of PTSD-like symptoms, such as a traumatic brain injury that results in concentration difficulties and irritability. Also assess the MVA’s effect on travel behavior because this information will help inform treatment.
Structured diagnostic interviews are straightforward and easy to administer with minimal training. We prefer the 30-question Clinician Administered PTSD Scale (CAPS) because evidence supports its reliability and validity.2,3 Use the CAPS to rate intensity and frequency of the 17 core PTSD symptoms over the past week, month, or lifetime. The CAPS can be scored for a PTSD diagnosis and for symptom severity. This tool’s drawback is that it takes 30 to 60 minutes to administer and a few more minutes to score.
Self-report measures are quick to administer and score and provide valuable information about symptom presence and severity.4 We recommend the PTSD Checklist (PCL), a widely used measure that has been shown to reliably and validly assess MVA-related PTSD.5,6 Consisting of 17 items corresponding to the DSM-IV-TR PTSD symptoms, the PCL takes about 5 minutes to complete and 1 or 2 minutes to score. A score ≥44 is a highly accurate indication of PTSD.6
Patients with MVA-related PTSD often have psychiatric comorbidities.7 The most frequently diagnosed are:
- major depressive disorder (in about one-half of persons with MVA-related PTSD)
- anxiety disorders, such as generalized anxiety disorder (in about one-third)
- chronic pain
- alcohol or other substance abuse.
We use the Structured Clinical Interview for DSM-IV (SCID) to diagnose comorbid conditions.8 If you do not have time to administer a structured clinical interview, we recommend using psychometrically sound self-report measures, such as the Beck Depression Inventory9 and the State Trait Anxiety Inventory.10
Length of time since the MVA gives a good indication of how likely PTSD is to remit without intervention. Longitudinal studies have found that within 1 year, PTSD will remit without intervention in nearly two-thirds of those diagnosed within 1 to 4 months of the MVA. PTSD that persists after 1 year is much less likely to resolve without treatment.11 Other predictors of PTSD persistence include:
- lack of physical recovery
- major depression within the first 2 months of the MVA
- current major depression
- alcohol abuse before the MVA
- perceived vulnerability during the MVA
- poor family relationships after the MVA.11
PTSD symptoms that initially do not meet diagnostic criteria (subsyndromal PTSD) can worsen in the first year postMVA and lead to a diagnosis of delayed-onset PTSD.12 Having less social support and experiencing additional life stressors—such as another accident, worsening physical health, or change in job—can contribute to delayed-onset PTSD.
CASE CONTINUED: Overcoming fears with psychotherapy
As part of cognitive-behavioral therapy (CBT), the therapist teaches Mr. O a simple breathing exercise to reduce anxiety. He also leads Mr. O through a progression of imaginal and in vivo exposure exercises. The former involves having the patient think about provocative situations in a graded fashion, from easiest to most difficult, while in the psychiatrist’s office. The latter involves having Mr. O seek out red lights—first as a passenger in a vehicle, then as a driver with a passenger, and then while driving alone—until they no longer cause distress.
The American Psychiatric Association,13 Veterans Affairs/Department of Defense,14 International Society of Traumatic Stress Studies,15 and other organizations recommend CBT to treat PTSD.16 Randomized, controlled trials and other evidence support CBT’s efficacy for MVA-related PTSD.11,17
Before implementing CBT, cultivate a strong therapeutic relationship with MVA survivors. The exercises may be acutely distressing, and you will be asking them to complete between-session practice tasks.
CBT for MVA-related PTSD can be delivered to individuals or groups,18 typically in 8 to 16 weekly or semi-weekly, 60- to 90-minute sessions. (Table 2) explains which elements of CBT address specific PTSD symptoms.11
Therapy usually begins with psychoeducation about PTSD symptoms and expected reactions to trauma (the “flight, fight, or freeze” response) to normalize these reactions and place them within the cognitive-behavioral conceptualization. Teach your patients that avoiding memories and reminders of the trauma maintains PTSD and that they must overcome avoidance for treatment to be successful. Note that avoidance can be subtle, such as a patient going to a feared place but distracting himself while there.
CBT for PTSD often includes teaching an anxiety management skill (Box). Imaginal and in vivo exercises also are usually part of treatment.
In imaginal exposure, patients repeatedly and fully confront their frightening memories within session by recounting as much detail about the MVA as possible, including what they were sensing, feeling, and thinking. This description of the MVA can be recorded during the session or written outside of therapy and read aloud by the patient during sessions.
Either way, assign your patients to review the written or recorded account 2 to 3 times per day between sessions. Repeating this exercise results in habituation to these memories, and the thoughts will evoke progressively less distress.
In vivo exposure is designed to extinguish the conditioned associations patients formed during the MVA. Travel-related anxiety is the primary focus of in vivo exposure because almost all patients experience it.11
This type of exposure therapy uses a fear hierarchy—a list of feared MVA reminders. Patients rate each reminder using a distress scale, such as the Subjective Units of Discomfort Scale (SUDS). Together the therapist and patient agree on a situation in the fear hierarchy that the patient feels able to confront in person without escaping. Patients confront the situation until their distress scale score declines by at least half, repeatedly addressing each item on the hierarchy until they have overcome the most frightening reminders. Consider recruiting patients’ family or friends to help complete these homework exercises.
Typically taught early in the course of cognitive-behavioral therapy, an anxiety management skill gives the patient an easy-to-use, effective way to reduce hyperarousal symptoms.
Anxiety management skills range from simple paced diaphragmatic breathing—where the patient learns to breathe from the abdomen, inhaling and exhaling to a count of 3—to more involved techniques, such as progressive muscle relaxation, when patients systemically tense and relax designated muscle groups in a sequential, articulated fashion.
The patient can use an anxiety management skill to lower basal physical arousal and acute arousal brought on by a stressful experience, such as confronting a reminder of the motor vehicle accident.
Cognitive therapy typically is conducted simultaneously with the other therapeutic components. Early in therapy, the clinician assesses patients’ beliefs related to the accident (such as “The world is very dangerous” or “I have no control over what happens on the road”) and their psychological experiences (“I will lose control of my emotions if I think about it”) and challenges the veracity of these assumptions by bringing up these distortions and statements as they occur within the treatment session. By using forms designed to identify thoughts and beliefs that produce anxiety, patients learn to monitor and challenge their maladaptive thoughts, in essence becoming their own cognitive therapists.
Scheduling pleasant events—assigning patients to participate in activities they previously enjoyed but have discontinued—has been used effectively to treat depression.19 For MVA survivors, this therapy is designed to target PTSD’s numbing symptoms by increasing patients’ social support and resilience.
Patients initially may need some cajoling, but once they begin pleasant activities they often find the experience reinforcing and mood-enhancing, which increases their future participation.
Although pharmacologic therapy for PTSD is beyond the scope of this article, antidepressants—including selective serotonin reuptake inhibitors (such as paroxetine and sertraline), tricyclics, and monoamine oxidase inhibitors—have been shown to effectively treat PTSD.20 For some patients, a combination of medication and psychotherapy may be best.
Patients with MVA-related PTSD often present other problems, including chronic pain, sleep problems, and generalized anxiety. How—and even if—to address these problems in therapy for PTSD is a matter of clinical judgment. Some evidence suggests that CBT can help improve comorbid conditions.7,21
Table 2
Cognitive-behavioral therapy: What’s effective for MVA-related PTSD
Symptom cluster | CBT component that targets it |
---|---|
Reexperiencing | In vivo and imaginal exposure |
Avoidance | In vivo exposure (for MVA reminders) Imaginal exposure (for MVA memories and related affect) |
Numbing | Pleasant events scheduling |
Hyperarousal | Anxiety management skills training |
All symptom clusters | Psychoeducation about PTSD |
All symptom clusters | Cognitive therapy |
Note: Although listed as targeting specific symptom clusters, CBT components have an effect across all clusters. | |
CBT: cognitive-behavior therapy; MVA: motor vehicle accident; PTSD: posttraumatic stress disorder | |
Source: Reference 11 |
CASE CONTINUED: Getting back on the road
After 4 months of CBT, Mr. O’s symptoms have resolved to the point where he is able to drive and return to work. When confronted with situations that had been problematic, Mr. O uses the CBT tools he learned to monitor thoughts and reactions that previously led to distress. With each change and improvement he feels a growing sense of confidence.
Related resources
- National Center for Posttraumatic Stress Disorder. U.S. Department of Veterans Affairs. www.ncptsd.va.gov.
- Hickling EJ, Blanchard EB. Overcoming the trauma of your motor vehicle accident: a cognitive behavioral treatment program, therapist guide. New York: Oxford University Press; 2006.
- Follette VM, Ruzek JI, Abueg FR. Cognitive-behavioral therapies for trauma, 2nd ed. New York: Guilford Press; 1998.
Drug brand names
- Paroxetine • Paxil
- Sertraline • Zoloft
Disclosure
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Diagnostic and statistical manual of mental disorders. 4th ed, text revision. Washington, DC: American Psychiatric Association; 2000.
2. Blake AT, Weathers F, Nagy L, et al. Clinician administered PTSD scale for DSM-IV (CAPS). Boston, MA: National Center for Post-traumatic Stress Disorder, Behavioral Science Division; 1998.
3. Weathers FW, Keane TM, Davidson JRT. Clinician-administered PTSD scale: a review of the first ten years of research. Depress Anxiety 2001;13(3):132-56.
4. Shear MK, Feske U, Brown C, et al. Anxiety disorders measures. In: Rush AJ Jr, Pincus HA, First MB, et al, eds. Handbook of psychiatric measures. Washington, DC: American Psychiatric Press; 2000:549-89.
5. Weathers FW, Litz BT, Herman DS, et al. The PTSD checklist: reliability, validity&diagnostic utility. Paper presented at: annual meeting of the International Society for Traumatic Stress Studies; October 1993; San Antonio, TX.
6. Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA. Psychometric properties of the PTSD Checklist (PCL). Behav Res Ther 1996;34:669-73.
7. Blanchard EB, Hickling EJ, Freidenberg BM, et al. Two studies of the psychiatric morbidity among motor vehicle accident survivors 1 year after the crash. Behav Res Ther 2004;42:569-83.
8. Spitzer RL, Williams JBW, Gibbon M, First MB. Structured clinical interview for DSM-IV—non-patient version. New York: Biometrics Research Department, New York State Psychiatric Institute; 1996.
9. Beck AT, Ward CH, Mendelson M, et al. An inventory for measuring depression. Arch Gen Psychiatry 1961;5:561-71.
10. Spielberger CD, Gorsuch RL, Lushune RE. Manual for the state-trait anxiety inventory. Palo Alto, CA: Consulting Psychologists Press; 1970.
11. Blanchard EB, Hickling EJ. After the crash: assessment and treatment of motor vehicle accident survivors. Washington, D.C.: American Psychological Association; 2004.
12. Buckley T, Blanchard EB, Hickling EJ. A prospective examination of delayed onset PTSD secondary to motor vehicle accidents. J Abnorm Psychol 1998;107:508-19.
13. Ursano RJ, Bell C, Eth S, et al. Practice guidelines for the treatment of patients with acute stress disorder and posttraumatic stress disorder. Am J Psychiatry 2004;161:3-31.
14. Veterans Health Administration. Management of posttraumatic stress (Office of Quality and Performance Publication #10Q-CPG/PTSD-04). Washington, DC: Veterans Administration, Department of Defense Clinical Practice Guideline Working Group; 2003. Available at: http://www.oqp.med.va.gov/cpg/PTSD/PTSD_Base.htm. Accessed March 21, 2007.
15. Foa EB, Keane TJ, Friedman MJ. Effective treatments for PTSD: practice guidelines from the International Society for Traumatic Stress Studies. New York: Guilford Press; 2000.
16. Bradley R, Greene J, Russ E, et al. A multidimensional meta-analysis of psychotherapy for PTSD. Am J Psychiatry 2005;162:214-27.
17. Ehlers A, Clark DM. Early psychological interventions for adult survivors of trauma: a review. Biol Psychiatry 2003;53:817-26.
18. Beck GJ, Coffey SF. Group cognitive behavioral treatment for PTSD: treatment of motor vehicle accident survivors. Cogn Behav Pract 2004;12:267-77.
19. Jacobson NS, Dobson KS, Truax PA, et al. A component analysis of cognitive-behavioral treatment for depression. J Consult Clin Psychol 1996;64:295-304.
20. Davidson J, Bernik M, Connor K, et al. A new treatment algorithm for posttraumatic stress disorder. Psychiatr Ann 2005;35:887-900.
21. Shipherd JC, Beck JG, Hamblen JL, et al. A preliminary examination of treatment for posttraumatic stress disorder in chronic pain patients: a case study. J Trauma Stress 2003;16(5):451-7.
Stopped at a red light, Mr. O glances in the rearview mirror and sees headlights coming up fast. The sport utility vehicle behind him is not slowing down. He braces himself as the SUV plows into the back of his car, snapping his head back and forth violently.
As white smoke fills his eyes and lungs. Mr. O realizes he has been pushed into the intersection, and for a moment thinks about never seeing his wife and children again. As he hears tires screeching, his car is struck by a truck.
Mr. O does not die, as he feared, but 6 months later he is “just not ready” to return to work. The doctor who is treating his whiplash injury refers him for evaluation of lingering anxiety.
Posttraumatic stress disorder (PTSD) resulting from a motor vehicle accident (MVA) can have a persistent disabling effect. To help you effectively treat patients such as Mr. O, this article examines:
- common PTSD symptoms in accident survivors
- recommended diagnostic interviews and assessment tools
- techniques for using psychotherapy to overcome residual PTSD symptoms.
CASE CONTINUED: Lingering impairment
In the 6 months since the accident, Mr. O’s sleep is disrupted by pain and worry; when he can sleep, he frequently has nightmares about the accident. Mr. O feels anxious and irritable, and thoughts of that evening play over and over in his mind.
Mr. O doesn’t like to talk about the accident and has not resumed driving. He avoids all but required trips, such as to doctors’ appointments, which he endures with extreme anxiety. Whenever his wife drives without him, he insists that she immediately call him when she reaches her destination. At the same time, he feels emotionally distant from her and the children. He shows little interest in hobbies he’d previously enjoyed.
3 symptom clusters of PTSD
To meet DSM-IV-TR criteria for PTSD, a person must have experienced, witnessed, or been confronted by an event that involved actual or threatened death or serious injury, to which he responded with intense fear, helplessness, or horror.1 PTSD’s 3 symptom clusters—reexperiencing, avoidance/numbing, and hyperarousal—encompass 17 core symptoms, and a patient must exhibit at least the minimum number of symptoms from each cluster (Table 1).
MVA survivors with PTSD often have intrusive memories and nightmares. They might avoid talking about the accident and resist or abstain from driving or traveling by car. They often fear and avoid people, places, activities, and reminders of the MVA that can trigger upsetting reactions, such as anxiety, tachycardia, and panic. They may be irritable, detached, or estranged from loved ones, or have difficulty sleeping or concentrating. These symptoms must persist for ≥30 days and cause clinically significant distress and impaired functioning for a person to meet the criteria for chronic PTSD.
Table 1
Patients experience 3 ‘clusters’ of PTSD symptoms
Symptom cluster | Symptoms |
---|---|
Reexperiencing (≥1 required) |
|
Avoidance/numbing (≥3 required) |
|
Hyperarousal (≥2 required) |
|
Note: In addition to having the minimum number of symptoms from each cluster as indicated above, for a patient to meet PTSD criteria, symptoms must cause clinically significant distress and impairment in functioning. | |
PTSD: posttraumatic stress disorder | |
Source: DSM-IV-TR |
CASE CONTINUED: Reaching a diagnosis
Using a combination of interviews and self-report measures, the psychiatrist diagnoses Mr. O with chronic PTSD. Since the MVA, Mr. O has developed the required number of reexperiencing, avoidance/numbing, and hyperarousal symptoms. These symptoms have persisted for >30 days and significantly impair his functioning.
Use multiple assessment tools
To assess an MVA survivor for PTSD and related problems, we advocate using a combination of:
- unstructured clinical interviews
- structured clinical interviews
- self-report measures.
Also collect information from collateral sources, such as patients’ spouses or significant others, when appropriate and available.
In an unstructured interview, obtain:
- a thorough, detailed description of the MVA, including what occurred and the patient’s thoughts and feelings during and since the accident
- a description of physical injuries, medical treatments, and medication use.
This information can rule out physical causes of PTSD-like symptoms, such as a traumatic brain injury that results in concentration difficulties and irritability. Also assess the MVA’s effect on travel behavior because this information will help inform treatment.
Structured diagnostic interviews are straightforward and easy to administer with minimal training. We prefer the 30-question Clinician Administered PTSD Scale (CAPS) because evidence supports its reliability and validity.2,3 Use the CAPS to rate intensity and frequency of the 17 core PTSD symptoms over the past week, month, or lifetime. The CAPS can be scored for a PTSD diagnosis and for symptom severity. This tool’s drawback is that it takes 30 to 60 minutes to administer and a few more minutes to score.
Self-report measures are quick to administer and score and provide valuable information about symptom presence and severity.4 We recommend the PTSD Checklist (PCL), a widely used measure that has been shown to reliably and validly assess MVA-related PTSD.5,6 Consisting of 17 items corresponding to the DSM-IV-TR PTSD symptoms, the PCL takes about 5 minutes to complete and 1 or 2 minutes to score. A score ≥44 is a highly accurate indication of PTSD.6
Patients with MVA-related PTSD often have psychiatric comorbidities.7 The most frequently diagnosed are:
- major depressive disorder (in about one-half of persons with MVA-related PTSD)
- anxiety disorders, such as generalized anxiety disorder (in about one-third)
- chronic pain
- alcohol or other substance abuse.
We use the Structured Clinical Interview for DSM-IV (SCID) to diagnose comorbid conditions.8 If you do not have time to administer a structured clinical interview, we recommend using psychometrically sound self-report measures, such as the Beck Depression Inventory9 and the State Trait Anxiety Inventory.10
Length of time since the MVA gives a good indication of how likely PTSD is to remit without intervention. Longitudinal studies have found that within 1 year, PTSD will remit without intervention in nearly two-thirds of those diagnosed within 1 to 4 months of the MVA. PTSD that persists after 1 year is much less likely to resolve without treatment.11 Other predictors of PTSD persistence include:
- lack of physical recovery
- major depression within the first 2 months of the MVA
- current major depression
- alcohol abuse before the MVA
- perceived vulnerability during the MVA
- poor family relationships after the MVA.11
PTSD symptoms that initially do not meet diagnostic criteria (subsyndromal PTSD) can worsen in the first year postMVA and lead to a diagnosis of delayed-onset PTSD.12 Having less social support and experiencing additional life stressors—such as another accident, worsening physical health, or change in job—can contribute to delayed-onset PTSD.
CASE CONTINUED: Overcoming fears with psychotherapy
As part of cognitive-behavioral therapy (CBT), the therapist teaches Mr. O a simple breathing exercise to reduce anxiety. He also leads Mr. O through a progression of imaginal and in vivo exposure exercises. The former involves having the patient think about provocative situations in a graded fashion, from easiest to most difficult, while in the psychiatrist’s office. The latter involves having Mr. O seek out red lights—first as a passenger in a vehicle, then as a driver with a passenger, and then while driving alone—until they no longer cause distress.
The American Psychiatric Association,13 Veterans Affairs/Department of Defense,14 International Society of Traumatic Stress Studies,15 and other organizations recommend CBT to treat PTSD.16 Randomized, controlled trials and other evidence support CBT’s efficacy for MVA-related PTSD.11,17
Before implementing CBT, cultivate a strong therapeutic relationship with MVA survivors. The exercises may be acutely distressing, and you will be asking them to complete between-session practice tasks.
CBT for MVA-related PTSD can be delivered to individuals or groups,18 typically in 8 to 16 weekly or semi-weekly, 60- to 90-minute sessions. (Table 2) explains which elements of CBT address specific PTSD symptoms.11
Therapy usually begins with psychoeducation about PTSD symptoms and expected reactions to trauma (the “flight, fight, or freeze” response) to normalize these reactions and place them within the cognitive-behavioral conceptualization. Teach your patients that avoiding memories and reminders of the trauma maintains PTSD and that they must overcome avoidance for treatment to be successful. Note that avoidance can be subtle, such as a patient going to a feared place but distracting himself while there.
CBT for PTSD often includes teaching an anxiety management skill (Box). Imaginal and in vivo exercises also are usually part of treatment.
In imaginal exposure, patients repeatedly and fully confront their frightening memories within session by recounting as much detail about the MVA as possible, including what they were sensing, feeling, and thinking. This description of the MVA can be recorded during the session or written outside of therapy and read aloud by the patient during sessions.
Either way, assign your patients to review the written or recorded account 2 to 3 times per day between sessions. Repeating this exercise results in habituation to these memories, and the thoughts will evoke progressively less distress.
In vivo exposure is designed to extinguish the conditioned associations patients formed during the MVA. Travel-related anxiety is the primary focus of in vivo exposure because almost all patients experience it.11
This type of exposure therapy uses a fear hierarchy—a list of feared MVA reminders. Patients rate each reminder using a distress scale, such as the Subjective Units of Discomfort Scale (SUDS). Together the therapist and patient agree on a situation in the fear hierarchy that the patient feels able to confront in person without escaping. Patients confront the situation until their distress scale score declines by at least half, repeatedly addressing each item on the hierarchy until they have overcome the most frightening reminders. Consider recruiting patients’ family or friends to help complete these homework exercises.
Typically taught early in the course of cognitive-behavioral therapy, an anxiety management skill gives the patient an easy-to-use, effective way to reduce hyperarousal symptoms.
Anxiety management skills range from simple paced diaphragmatic breathing—where the patient learns to breathe from the abdomen, inhaling and exhaling to a count of 3—to more involved techniques, such as progressive muscle relaxation, when patients systemically tense and relax designated muscle groups in a sequential, articulated fashion.
The patient can use an anxiety management skill to lower basal physical arousal and acute arousal brought on by a stressful experience, such as confronting a reminder of the motor vehicle accident.
Cognitive therapy typically is conducted simultaneously with the other therapeutic components. Early in therapy, the clinician assesses patients’ beliefs related to the accident (such as “The world is very dangerous” or “I have no control over what happens on the road”) and their psychological experiences (“I will lose control of my emotions if I think about it”) and challenges the veracity of these assumptions by bringing up these distortions and statements as they occur within the treatment session. By using forms designed to identify thoughts and beliefs that produce anxiety, patients learn to monitor and challenge their maladaptive thoughts, in essence becoming their own cognitive therapists.
Scheduling pleasant events—assigning patients to participate in activities they previously enjoyed but have discontinued—has been used effectively to treat depression.19 For MVA survivors, this therapy is designed to target PTSD’s numbing symptoms by increasing patients’ social support and resilience.
Patients initially may need some cajoling, but once they begin pleasant activities they often find the experience reinforcing and mood-enhancing, which increases their future participation.
Although pharmacologic therapy for PTSD is beyond the scope of this article, antidepressants—including selective serotonin reuptake inhibitors (such as paroxetine and sertraline), tricyclics, and monoamine oxidase inhibitors—have been shown to effectively treat PTSD.20 For some patients, a combination of medication and psychotherapy may be best.
Patients with MVA-related PTSD often present other problems, including chronic pain, sleep problems, and generalized anxiety. How—and even if—to address these problems in therapy for PTSD is a matter of clinical judgment. Some evidence suggests that CBT can help improve comorbid conditions.7,21
Table 2
Cognitive-behavioral therapy: What’s effective for MVA-related PTSD
Symptom cluster | CBT component that targets it |
---|---|
Reexperiencing | In vivo and imaginal exposure |
Avoidance | In vivo exposure (for MVA reminders) Imaginal exposure (for MVA memories and related affect) |
Numbing | Pleasant events scheduling |
Hyperarousal | Anxiety management skills training |
All symptom clusters | Psychoeducation about PTSD |
All symptom clusters | Cognitive therapy |
Note: Although listed as targeting specific symptom clusters, CBT components have an effect across all clusters. | |
CBT: cognitive-behavior therapy; MVA: motor vehicle accident; PTSD: posttraumatic stress disorder | |
Source: Reference 11 |
CASE CONTINUED: Getting back on the road
After 4 months of CBT, Mr. O’s symptoms have resolved to the point where he is able to drive and return to work. When confronted with situations that had been problematic, Mr. O uses the CBT tools he learned to monitor thoughts and reactions that previously led to distress. With each change and improvement he feels a growing sense of confidence.
Related resources
- National Center for Posttraumatic Stress Disorder. U.S. Department of Veterans Affairs. www.ncptsd.va.gov.
- Hickling EJ, Blanchard EB. Overcoming the trauma of your motor vehicle accident: a cognitive behavioral treatment program, therapist guide. New York: Oxford University Press; 2006.
- Follette VM, Ruzek JI, Abueg FR. Cognitive-behavioral therapies for trauma, 2nd ed. New York: Guilford Press; 1998.
Drug brand names
- Paroxetine • Paxil
- Sertraline • Zoloft
Disclosure
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
Stopped at a red light, Mr. O glances in the rearview mirror and sees headlights coming up fast. The sport utility vehicle behind him is not slowing down. He braces himself as the SUV plows into the back of his car, snapping his head back and forth violently.
As white smoke fills his eyes and lungs. Mr. O realizes he has been pushed into the intersection, and for a moment thinks about never seeing his wife and children again. As he hears tires screeching, his car is struck by a truck.
Mr. O does not die, as he feared, but 6 months later he is “just not ready” to return to work. The doctor who is treating his whiplash injury refers him for evaluation of lingering anxiety.
Posttraumatic stress disorder (PTSD) resulting from a motor vehicle accident (MVA) can have a persistent disabling effect. To help you effectively treat patients such as Mr. O, this article examines:
- common PTSD symptoms in accident survivors
- recommended diagnostic interviews and assessment tools
- techniques for using psychotherapy to overcome residual PTSD symptoms.
CASE CONTINUED: Lingering impairment
In the 6 months since the accident, Mr. O’s sleep is disrupted by pain and worry; when he can sleep, he frequently has nightmares about the accident. Mr. O feels anxious and irritable, and thoughts of that evening play over and over in his mind.
Mr. O doesn’t like to talk about the accident and has not resumed driving. He avoids all but required trips, such as to doctors’ appointments, which he endures with extreme anxiety. Whenever his wife drives without him, he insists that she immediately call him when she reaches her destination. At the same time, he feels emotionally distant from her and the children. He shows little interest in hobbies he’d previously enjoyed.
3 symptom clusters of PTSD
To meet DSM-IV-TR criteria for PTSD, a person must have experienced, witnessed, or been confronted by an event that involved actual or threatened death or serious injury, to which he responded with intense fear, helplessness, or horror.1 PTSD’s 3 symptom clusters—reexperiencing, avoidance/numbing, and hyperarousal—encompass 17 core symptoms, and a patient must exhibit at least the minimum number of symptoms from each cluster (Table 1).
MVA survivors with PTSD often have intrusive memories and nightmares. They might avoid talking about the accident and resist or abstain from driving or traveling by car. They often fear and avoid people, places, activities, and reminders of the MVA that can trigger upsetting reactions, such as anxiety, tachycardia, and panic. They may be irritable, detached, or estranged from loved ones, or have difficulty sleeping or concentrating. These symptoms must persist for ≥30 days and cause clinically significant distress and impaired functioning for a person to meet the criteria for chronic PTSD.
Table 1
Patients experience 3 ‘clusters’ of PTSD symptoms
Symptom cluster | Symptoms |
---|---|
Reexperiencing (≥1 required) |
|
Avoidance/numbing (≥3 required) |
|
Hyperarousal (≥2 required) |
|
Note: In addition to having the minimum number of symptoms from each cluster as indicated above, for a patient to meet PTSD criteria, symptoms must cause clinically significant distress and impairment in functioning. | |
PTSD: posttraumatic stress disorder | |
Source: DSM-IV-TR |
CASE CONTINUED: Reaching a diagnosis
Using a combination of interviews and self-report measures, the psychiatrist diagnoses Mr. O with chronic PTSD. Since the MVA, Mr. O has developed the required number of reexperiencing, avoidance/numbing, and hyperarousal symptoms. These symptoms have persisted for >30 days and significantly impair his functioning.
Use multiple assessment tools
To assess an MVA survivor for PTSD and related problems, we advocate using a combination of:
- unstructured clinical interviews
- structured clinical interviews
- self-report measures.
Also collect information from collateral sources, such as patients’ spouses or significant others, when appropriate and available.
In an unstructured interview, obtain:
- a thorough, detailed description of the MVA, including what occurred and the patient’s thoughts and feelings during and since the accident
- a description of physical injuries, medical treatments, and medication use.
This information can rule out physical causes of PTSD-like symptoms, such as a traumatic brain injury that results in concentration difficulties and irritability. Also assess the MVA’s effect on travel behavior because this information will help inform treatment.
Structured diagnostic interviews are straightforward and easy to administer with minimal training. We prefer the 30-question Clinician Administered PTSD Scale (CAPS) because evidence supports its reliability and validity.2,3 Use the CAPS to rate intensity and frequency of the 17 core PTSD symptoms over the past week, month, or lifetime. The CAPS can be scored for a PTSD diagnosis and for symptom severity. This tool’s drawback is that it takes 30 to 60 minutes to administer and a few more minutes to score.
Self-report measures are quick to administer and score and provide valuable information about symptom presence and severity.4 We recommend the PTSD Checklist (PCL), a widely used measure that has been shown to reliably and validly assess MVA-related PTSD.5,6 Consisting of 17 items corresponding to the DSM-IV-TR PTSD symptoms, the PCL takes about 5 minutes to complete and 1 or 2 minutes to score. A score ≥44 is a highly accurate indication of PTSD.6
Patients with MVA-related PTSD often have psychiatric comorbidities.7 The most frequently diagnosed are:
- major depressive disorder (in about one-half of persons with MVA-related PTSD)
- anxiety disorders, such as generalized anxiety disorder (in about one-third)
- chronic pain
- alcohol or other substance abuse.
We use the Structured Clinical Interview for DSM-IV (SCID) to diagnose comorbid conditions.8 If you do not have time to administer a structured clinical interview, we recommend using psychometrically sound self-report measures, such as the Beck Depression Inventory9 and the State Trait Anxiety Inventory.10
Length of time since the MVA gives a good indication of how likely PTSD is to remit without intervention. Longitudinal studies have found that within 1 year, PTSD will remit without intervention in nearly two-thirds of those diagnosed within 1 to 4 months of the MVA. PTSD that persists after 1 year is much less likely to resolve without treatment.11 Other predictors of PTSD persistence include:
- lack of physical recovery
- major depression within the first 2 months of the MVA
- current major depression
- alcohol abuse before the MVA
- perceived vulnerability during the MVA
- poor family relationships after the MVA.11
PTSD symptoms that initially do not meet diagnostic criteria (subsyndromal PTSD) can worsen in the first year postMVA and lead to a diagnosis of delayed-onset PTSD.12 Having less social support and experiencing additional life stressors—such as another accident, worsening physical health, or change in job—can contribute to delayed-onset PTSD.
CASE CONTINUED: Overcoming fears with psychotherapy
As part of cognitive-behavioral therapy (CBT), the therapist teaches Mr. O a simple breathing exercise to reduce anxiety. He also leads Mr. O through a progression of imaginal and in vivo exposure exercises. The former involves having the patient think about provocative situations in a graded fashion, from easiest to most difficult, while in the psychiatrist’s office. The latter involves having Mr. O seek out red lights—first as a passenger in a vehicle, then as a driver with a passenger, and then while driving alone—until they no longer cause distress.
The American Psychiatric Association,13 Veterans Affairs/Department of Defense,14 International Society of Traumatic Stress Studies,15 and other organizations recommend CBT to treat PTSD.16 Randomized, controlled trials and other evidence support CBT’s efficacy for MVA-related PTSD.11,17
Before implementing CBT, cultivate a strong therapeutic relationship with MVA survivors. The exercises may be acutely distressing, and you will be asking them to complete between-session practice tasks.
CBT for MVA-related PTSD can be delivered to individuals or groups,18 typically in 8 to 16 weekly or semi-weekly, 60- to 90-minute sessions. (Table 2) explains which elements of CBT address specific PTSD symptoms.11
Therapy usually begins with psychoeducation about PTSD symptoms and expected reactions to trauma (the “flight, fight, or freeze” response) to normalize these reactions and place them within the cognitive-behavioral conceptualization. Teach your patients that avoiding memories and reminders of the trauma maintains PTSD and that they must overcome avoidance for treatment to be successful. Note that avoidance can be subtle, such as a patient going to a feared place but distracting himself while there.
CBT for PTSD often includes teaching an anxiety management skill (Box). Imaginal and in vivo exercises also are usually part of treatment.
In imaginal exposure, patients repeatedly and fully confront their frightening memories within session by recounting as much detail about the MVA as possible, including what they were sensing, feeling, and thinking. This description of the MVA can be recorded during the session or written outside of therapy and read aloud by the patient during sessions.
Either way, assign your patients to review the written or recorded account 2 to 3 times per day between sessions. Repeating this exercise results in habituation to these memories, and the thoughts will evoke progressively less distress.
In vivo exposure is designed to extinguish the conditioned associations patients formed during the MVA. Travel-related anxiety is the primary focus of in vivo exposure because almost all patients experience it.11
This type of exposure therapy uses a fear hierarchy—a list of feared MVA reminders. Patients rate each reminder using a distress scale, such as the Subjective Units of Discomfort Scale (SUDS). Together the therapist and patient agree on a situation in the fear hierarchy that the patient feels able to confront in person without escaping. Patients confront the situation until their distress scale score declines by at least half, repeatedly addressing each item on the hierarchy until they have overcome the most frightening reminders. Consider recruiting patients’ family or friends to help complete these homework exercises.
Typically taught early in the course of cognitive-behavioral therapy, an anxiety management skill gives the patient an easy-to-use, effective way to reduce hyperarousal symptoms.
Anxiety management skills range from simple paced diaphragmatic breathing—where the patient learns to breathe from the abdomen, inhaling and exhaling to a count of 3—to more involved techniques, such as progressive muscle relaxation, when patients systemically tense and relax designated muscle groups in a sequential, articulated fashion.
The patient can use an anxiety management skill to lower basal physical arousal and acute arousal brought on by a stressful experience, such as confronting a reminder of the motor vehicle accident.
Cognitive therapy typically is conducted simultaneously with the other therapeutic components. Early in therapy, the clinician assesses patients’ beliefs related to the accident (such as “The world is very dangerous” or “I have no control over what happens on the road”) and their psychological experiences (“I will lose control of my emotions if I think about it”) and challenges the veracity of these assumptions by bringing up these distortions and statements as they occur within the treatment session. By using forms designed to identify thoughts and beliefs that produce anxiety, patients learn to monitor and challenge their maladaptive thoughts, in essence becoming their own cognitive therapists.
Scheduling pleasant events—assigning patients to participate in activities they previously enjoyed but have discontinued—has been used effectively to treat depression.19 For MVA survivors, this therapy is designed to target PTSD’s numbing symptoms by increasing patients’ social support and resilience.
Patients initially may need some cajoling, but once they begin pleasant activities they often find the experience reinforcing and mood-enhancing, which increases their future participation.
Although pharmacologic therapy for PTSD is beyond the scope of this article, antidepressants—including selective serotonin reuptake inhibitors (such as paroxetine and sertraline), tricyclics, and monoamine oxidase inhibitors—have been shown to effectively treat PTSD.20 For some patients, a combination of medication and psychotherapy may be best.
Patients with MVA-related PTSD often present other problems, including chronic pain, sleep problems, and generalized anxiety. How—and even if—to address these problems in therapy for PTSD is a matter of clinical judgment. Some evidence suggests that CBT can help improve comorbid conditions.7,21
Table 2
Cognitive-behavioral therapy: What’s effective for MVA-related PTSD
Symptom cluster | CBT component that targets it |
---|---|
Reexperiencing | In vivo and imaginal exposure |
Avoidance | In vivo exposure (for MVA reminders) Imaginal exposure (for MVA memories and related affect) |
Numbing | Pleasant events scheduling |
Hyperarousal | Anxiety management skills training |
All symptom clusters | Psychoeducation about PTSD |
All symptom clusters | Cognitive therapy |
Note: Although listed as targeting specific symptom clusters, CBT components have an effect across all clusters. | |
CBT: cognitive-behavior therapy; MVA: motor vehicle accident; PTSD: posttraumatic stress disorder | |
Source: Reference 11 |
CASE CONTINUED: Getting back on the road
After 4 months of CBT, Mr. O’s symptoms have resolved to the point where he is able to drive and return to work. When confronted with situations that had been problematic, Mr. O uses the CBT tools he learned to monitor thoughts and reactions that previously led to distress. With each change and improvement he feels a growing sense of confidence.
Related resources
- National Center for Posttraumatic Stress Disorder. U.S. Department of Veterans Affairs. www.ncptsd.va.gov.
- Hickling EJ, Blanchard EB. Overcoming the trauma of your motor vehicle accident: a cognitive behavioral treatment program, therapist guide. New York: Oxford University Press; 2006.
- Follette VM, Ruzek JI, Abueg FR. Cognitive-behavioral therapies for trauma, 2nd ed. New York: Guilford Press; 1998.
Drug brand names
- Paroxetine • Paxil
- Sertraline • Zoloft
Disclosure
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Diagnostic and statistical manual of mental disorders. 4th ed, text revision. Washington, DC: American Psychiatric Association; 2000.
2. Blake AT, Weathers F, Nagy L, et al. Clinician administered PTSD scale for DSM-IV (CAPS). Boston, MA: National Center for Post-traumatic Stress Disorder, Behavioral Science Division; 1998.
3. Weathers FW, Keane TM, Davidson JRT. Clinician-administered PTSD scale: a review of the first ten years of research. Depress Anxiety 2001;13(3):132-56.
4. Shear MK, Feske U, Brown C, et al. Anxiety disorders measures. In: Rush AJ Jr, Pincus HA, First MB, et al, eds. Handbook of psychiatric measures. Washington, DC: American Psychiatric Press; 2000:549-89.
5. Weathers FW, Litz BT, Herman DS, et al. The PTSD checklist: reliability, validity&diagnostic utility. Paper presented at: annual meeting of the International Society for Traumatic Stress Studies; October 1993; San Antonio, TX.
6. Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA. Psychometric properties of the PTSD Checklist (PCL). Behav Res Ther 1996;34:669-73.
7. Blanchard EB, Hickling EJ, Freidenberg BM, et al. Two studies of the psychiatric morbidity among motor vehicle accident survivors 1 year after the crash. Behav Res Ther 2004;42:569-83.
8. Spitzer RL, Williams JBW, Gibbon M, First MB. Structured clinical interview for DSM-IV—non-patient version. New York: Biometrics Research Department, New York State Psychiatric Institute; 1996.
9. Beck AT, Ward CH, Mendelson M, et al. An inventory for measuring depression. Arch Gen Psychiatry 1961;5:561-71.
10. Spielberger CD, Gorsuch RL, Lushune RE. Manual for the state-trait anxiety inventory. Palo Alto, CA: Consulting Psychologists Press; 1970.
11. Blanchard EB, Hickling EJ. After the crash: assessment and treatment of motor vehicle accident survivors. Washington, D.C.: American Psychological Association; 2004.
12. Buckley T, Blanchard EB, Hickling EJ. A prospective examination of delayed onset PTSD secondary to motor vehicle accidents. J Abnorm Psychol 1998;107:508-19.
13. Ursano RJ, Bell C, Eth S, et al. Practice guidelines for the treatment of patients with acute stress disorder and posttraumatic stress disorder. Am J Psychiatry 2004;161:3-31.
14. Veterans Health Administration. Management of posttraumatic stress (Office of Quality and Performance Publication #10Q-CPG/PTSD-04). Washington, DC: Veterans Administration, Department of Defense Clinical Practice Guideline Working Group; 2003. Available at: http://www.oqp.med.va.gov/cpg/PTSD/PTSD_Base.htm. Accessed March 21, 2007.
15. Foa EB, Keane TJ, Friedman MJ. Effective treatments for PTSD: practice guidelines from the International Society for Traumatic Stress Studies. New York: Guilford Press; 2000.
16. Bradley R, Greene J, Russ E, et al. A multidimensional meta-analysis of psychotherapy for PTSD. Am J Psychiatry 2005;162:214-27.
17. Ehlers A, Clark DM. Early psychological interventions for adult survivors of trauma: a review. Biol Psychiatry 2003;53:817-26.
18. Beck GJ, Coffey SF. Group cognitive behavioral treatment for PTSD: treatment of motor vehicle accident survivors. Cogn Behav Pract 2004;12:267-77.
19. Jacobson NS, Dobson KS, Truax PA, et al. A component analysis of cognitive-behavioral treatment for depression. J Consult Clin Psychol 1996;64:295-304.
20. Davidson J, Bernik M, Connor K, et al. A new treatment algorithm for posttraumatic stress disorder. Psychiatr Ann 2005;35:887-900.
21. Shipherd JC, Beck JG, Hamblen JL, et al. A preliminary examination of treatment for posttraumatic stress disorder in chronic pain patients: a case study. J Trauma Stress 2003;16(5):451-7.
1. Diagnostic and statistical manual of mental disorders. 4th ed, text revision. Washington, DC: American Psychiatric Association; 2000.
2. Blake AT, Weathers F, Nagy L, et al. Clinician administered PTSD scale for DSM-IV (CAPS). Boston, MA: National Center for Post-traumatic Stress Disorder, Behavioral Science Division; 1998.
3. Weathers FW, Keane TM, Davidson JRT. Clinician-administered PTSD scale: a review of the first ten years of research. Depress Anxiety 2001;13(3):132-56.
4. Shear MK, Feske U, Brown C, et al. Anxiety disorders measures. In: Rush AJ Jr, Pincus HA, First MB, et al, eds. Handbook of psychiatric measures. Washington, DC: American Psychiatric Press; 2000:549-89.
5. Weathers FW, Litz BT, Herman DS, et al. The PTSD checklist: reliability, validity&diagnostic utility. Paper presented at: annual meeting of the International Society for Traumatic Stress Studies; October 1993; San Antonio, TX.
6. Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA. Psychometric properties of the PTSD Checklist (PCL). Behav Res Ther 1996;34:669-73.
7. Blanchard EB, Hickling EJ, Freidenberg BM, et al. Two studies of the psychiatric morbidity among motor vehicle accident survivors 1 year after the crash. Behav Res Ther 2004;42:569-83.
8. Spitzer RL, Williams JBW, Gibbon M, First MB. Structured clinical interview for DSM-IV—non-patient version. New York: Biometrics Research Department, New York State Psychiatric Institute; 1996.
9. Beck AT, Ward CH, Mendelson M, et al. An inventory for measuring depression. Arch Gen Psychiatry 1961;5:561-71.
10. Spielberger CD, Gorsuch RL, Lushune RE. Manual for the state-trait anxiety inventory. Palo Alto, CA: Consulting Psychologists Press; 1970.
11. Blanchard EB, Hickling EJ. After the crash: assessment and treatment of motor vehicle accident survivors. Washington, D.C.: American Psychological Association; 2004.
12. Buckley T, Blanchard EB, Hickling EJ. A prospective examination of delayed onset PTSD secondary to motor vehicle accidents. J Abnorm Psychol 1998;107:508-19.
13. Ursano RJ, Bell C, Eth S, et al. Practice guidelines for the treatment of patients with acute stress disorder and posttraumatic stress disorder. Am J Psychiatry 2004;161:3-31.
14. Veterans Health Administration. Management of posttraumatic stress (Office of Quality and Performance Publication #10Q-CPG/PTSD-04). Washington, DC: Veterans Administration, Department of Defense Clinical Practice Guideline Working Group; 2003. Available at: http://www.oqp.med.va.gov/cpg/PTSD/PTSD_Base.htm. Accessed March 21, 2007.
15. Foa EB, Keane TJ, Friedman MJ. Effective treatments for PTSD: practice guidelines from the International Society for Traumatic Stress Studies. New York: Guilford Press; 2000.
16. Bradley R, Greene J, Russ E, et al. A multidimensional meta-analysis of psychotherapy for PTSD. Am J Psychiatry 2005;162:214-27.
17. Ehlers A, Clark DM. Early psychological interventions for adult survivors of trauma: a review. Biol Psychiatry 2003;53:817-26.
18. Beck GJ, Coffey SF. Group cognitive behavioral treatment for PTSD: treatment of motor vehicle accident survivors. Cogn Behav Pract 2004;12:267-77.
19. Jacobson NS, Dobson KS, Truax PA, et al. A component analysis of cognitive-behavioral treatment for depression. J Consult Clin Psychol 1996;64:295-304.
20. Davidson J, Bernik M, Connor K, et al. A new treatment algorithm for posttraumatic stress disorder. Psychiatr Ann 2005;35:887-900.
21. Shipherd JC, Beck JG, Hamblen JL, et al. A preliminary examination of treatment for posttraumatic stress disorder in chronic pain patients: a case study. J Trauma Stress 2003;16(5):451-7.
REIMBURSEMENT ADVISER
- Patient is a virgin, takes no hormones, and refuses a pelvic exam and Pap smear. Blood pressure is in the normal range. Body mass index is 21. She reports no problems and has no questions.
- Examination of breasts reveals normal skin and nipples, no masses or tenderness, and no lymph-node swelling.
- Patient is given a slip for a routine mammogram and instructions on performing breast self-exam, and is instructed to return in 1 year, barring problems or concerns.
If you report this visit as a problem E/M service using only this diagnosis, on the other hand, you are more than likely to be denied by Medicare.
For Medicare to consider this a covered service billed as a problem E/M service, you would also have to list diagnostic codes that indicate a complaint, a history of a breast condition, or a strong family history of breast cancer. Medicare will pay for the screening mammogram, but the screening breast exam by itself may not be considered a covered service.
You have a few options:
- Contact the Medicare carrier and explain the situation. See if they propose a coding solution that they will accept. Get their answer in writing!
- Bill Medicare using a low-level E/M code (eg, 99212, problem focused exam with straightforward medical decision making) linked to the diagnosis code V76.19. If you choose this option, have the patient sign a waiver that she is responsible for payment should Medicare deny the service. Add the modifier –GA (waiver of liability statement on file) to the problem E/M code. This will allow you to collect payment from the patient.
- Submit the unlisted code or preventive services 99429 because you performed an exam—although not one that meets the criteria of age-specific preventive codes. This code is never reimbursed by Medicare, but once you get a denial, you either can collect from the patient or are able to submit the charge to any secondary insurance she might have. A modifier –GY (item or service statutorily excluded or does not meet the definition of any Medicare benefit) would also need to be added to the preventive medicine code.
Fern testing: CLIA-waived but payer might not cover
Code 87210, in addition to requiring addition of saline or potassium chloride, is not a CLIA-waived test. You would not be able to bill for it unless you have an advanced lab certificate.
Code 89060 is assigned when looking for crystals in synovial fluid. It is also not a CLIA-waived or physician-performed microscopy test, so billing using this code would require an advanced lab certificate as well.
The advent of the national code set has meant that your payers are required to recognize all codes, although they can determine whether to cover a service or not. It may be that this test isn’t covered by your payer, rather than the code not being recognized as correct.
Two voiding studies: Bill together but specify parts
The “9” indicator used by Medicare for bundled codes means that the edit was deleted. In this case, it was deleted on the same date it was added. For some reason, Medicare elects not to remove deleted code pairs from the master database. Although you will get paid for both of these codes, the code order is different depending on whether you are using your own equipment (because of differences in relative value units).
If you bill each test with a modifier -26 (professional component only), you do not own the equipment and the place of service is a facility. In that case, list 51797-26 first and 51795-26-51 second. The modifier -51 is used on the second code because this is a multiple procedure. If you are billing both professional and technical components (ie, you are using your equipment, in the office), billing order is reversed: List 51797 first and 51795-51 second. Do not use a modifier -59 with this code combination.
Fetal genetic abnormality inferred from US; code for further study
At the time of the sonogram, therefore, you can only suspect a problem with the fetal genes; further testing is required. In that case, report 655.13 (known or suspected chromosomal abnormality of the fetus affecting management of mother; antepartum condition or complication) with a secondary diagnosis of 793.99 (other nonspecific abnormal findings on radiological and other examinations of body structure).
Positive ANA—don’t leap to “autoimmune disorder”
Because you have not eliminated the other possibilities for the positive ANA, it is premature to assign the code for an autoimmune condition. Instead, report 648.93 as your primary code (Other current conditions in the mother classifiable elsewhere, complicating pregnancy, childbirth, or the puerperium; antepartum condition or complication), with the secondary diagnosis code 795.79 (Other and unspecified nonspecific immunological findings).
Coding Zoladex depends on the patient’s condition
The drug is supplied as tiny pellets, which are injected under the skin of the abdomen using a small, “trocar-like” needle and syringe. The procedure constitutes an injection. If you are treating breast cancer with this drug, the correct code would be 96402 (Chemotherapy administration, subcutaneous or intramuscular; hormonal antineoplastic). The code for the pellets is J9202 (Goserelin acetate implant, per 3.6 mg). If you administer more than 3.6 mg at a time, remember to adjust the quantity you bill for. If you are using this drug to treat endometriosis or fibroids, CPT directs you to report 90772 for the injection because it is then considered a nonantineoplastic hormone injection.
Call a contraceptive a contraceptive when coding
Implanon’s manufacturer thinks the correct code is 11981 (Insertion, nonbiodegradable drug delivery implant), but I disagree: This is a contraceptive that is implanted under the skin and, under CPT rules, you must use the code that most closely describes the procedure.
Note also that, although Implanon involves insertion of one rod (other systems require insertion of several), the code 11981 has greater relative value units than 11975. This payment difference will not be lost on most payers because the diagnostic link for the procedure, whichever code is reported, is V25.5 (insertion of implantable subdermal contraceptive).
- Patient is a virgin, takes no hormones, and refuses a pelvic exam and Pap smear. Blood pressure is in the normal range. Body mass index is 21. She reports no problems and has no questions.
- Examination of breasts reveals normal skin and nipples, no masses or tenderness, and no lymph-node swelling.
- Patient is given a slip for a routine mammogram and instructions on performing breast self-exam, and is instructed to return in 1 year, barring problems or concerns.
If you report this visit as a problem E/M service using only this diagnosis, on the other hand, you are more than likely to be denied by Medicare.
For Medicare to consider this a covered service billed as a problem E/M service, you would also have to list diagnostic codes that indicate a complaint, a history of a breast condition, or a strong family history of breast cancer. Medicare will pay for the screening mammogram, but the screening breast exam by itself may not be considered a covered service.
You have a few options:
- Contact the Medicare carrier and explain the situation. See if they propose a coding solution that they will accept. Get their answer in writing!
- Bill Medicare using a low-level E/M code (eg, 99212, problem focused exam with straightforward medical decision making) linked to the diagnosis code V76.19. If you choose this option, have the patient sign a waiver that she is responsible for payment should Medicare deny the service. Add the modifier –GA (waiver of liability statement on file) to the problem E/M code. This will allow you to collect payment from the patient.
- Submit the unlisted code or preventive services 99429 because you performed an exam—although not one that meets the criteria of age-specific preventive codes. This code is never reimbursed by Medicare, but once you get a denial, you either can collect from the patient or are able to submit the charge to any secondary insurance she might have. A modifier –GY (item or service statutorily excluded or does not meet the definition of any Medicare benefit) would also need to be added to the preventive medicine code.
Fern testing: CLIA-waived but payer might not cover
Code 87210, in addition to requiring addition of saline or potassium chloride, is not a CLIA-waived test. You would not be able to bill for it unless you have an advanced lab certificate.
Code 89060 is assigned when looking for crystals in synovial fluid. It is also not a CLIA-waived or physician-performed microscopy test, so billing using this code would require an advanced lab certificate as well.
The advent of the national code set has meant that your payers are required to recognize all codes, although they can determine whether to cover a service or not. It may be that this test isn’t covered by your payer, rather than the code not being recognized as correct.
Two voiding studies: Bill together but specify parts
The “9” indicator used by Medicare for bundled codes means that the edit was deleted. In this case, it was deleted on the same date it was added. For some reason, Medicare elects not to remove deleted code pairs from the master database. Although you will get paid for both of these codes, the code order is different depending on whether you are using your own equipment (because of differences in relative value units).
If you bill each test with a modifier -26 (professional component only), you do not own the equipment and the place of service is a facility. In that case, list 51797-26 first and 51795-26-51 second. The modifier -51 is used on the second code because this is a multiple procedure. If you are billing both professional and technical components (ie, you are using your equipment, in the office), billing order is reversed: List 51797 first and 51795-51 second. Do not use a modifier -59 with this code combination.
Fetal genetic abnormality inferred from US; code for further study
At the time of the sonogram, therefore, you can only suspect a problem with the fetal genes; further testing is required. In that case, report 655.13 (known or suspected chromosomal abnormality of the fetus affecting management of mother; antepartum condition or complication) with a secondary diagnosis of 793.99 (other nonspecific abnormal findings on radiological and other examinations of body structure).
Positive ANA—don’t leap to “autoimmune disorder”
Because you have not eliminated the other possibilities for the positive ANA, it is premature to assign the code for an autoimmune condition. Instead, report 648.93 as your primary code (Other current conditions in the mother classifiable elsewhere, complicating pregnancy, childbirth, or the puerperium; antepartum condition or complication), with the secondary diagnosis code 795.79 (Other and unspecified nonspecific immunological findings).
Coding Zoladex depends on the patient’s condition
The drug is supplied as tiny pellets, which are injected under the skin of the abdomen using a small, “trocar-like” needle and syringe. The procedure constitutes an injection. If you are treating breast cancer with this drug, the correct code would be 96402 (Chemotherapy administration, subcutaneous or intramuscular; hormonal antineoplastic). The code for the pellets is J9202 (Goserelin acetate implant, per 3.6 mg). If you administer more than 3.6 mg at a time, remember to adjust the quantity you bill for. If you are using this drug to treat endometriosis or fibroids, CPT directs you to report 90772 for the injection because it is then considered a nonantineoplastic hormone injection.
Call a contraceptive a contraceptive when coding
Implanon’s manufacturer thinks the correct code is 11981 (Insertion, nonbiodegradable drug delivery implant), but I disagree: This is a contraceptive that is implanted under the skin and, under CPT rules, you must use the code that most closely describes the procedure.
Note also that, although Implanon involves insertion of one rod (other systems require insertion of several), the code 11981 has greater relative value units than 11975. This payment difference will not be lost on most payers because the diagnostic link for the procedure, whichever code is reported, is V25.5 (insertion of implantable subdermal contraceptive).
- Patient is a virgin, takes no hormones, and refuses a pelvic exam and Pap smear. Blood pressure is in the normal range. Body mass index is 21. She reports no problems and has no questions.
- Examination of breasts reveals normal skin and nipples, no masses or tenderness, and no lymph-node swelling.
- Patient is given a slip for a routine mammogram and instructions on performing breast self-exam, and is instructed to return in 1 year, barring problems or concerns.
If you report this visit as a problem E/M service using only this diagnosis, on the other hand, you are more than likely to be denied by Medicare.
For Medicare to consider this a covered service billed as a problem E/M service, you would also have to list diagnostic codes that indicate a complaint, a history of a breast condition, or a strong family history of breast cancer. Medicare will pay for the screening mammogram, but the screening breast exam by itself may not be considered a covered service.
You have a few options:
- Contact the Medicare carrier and explain the situation. See if they propose a coding solution that they will accept. Get their answer in writing!
- Bill Medicare using a low-level E/M code (eg, 99212, problem focused exam with straightforward medical decision making) linked to the diagnosis code V76.19. If you choose this option, have the patient sign a waiver that she is responsible for payment should Medicare deny the service. Add the modifier –GA (waiver of liability statement on file) to the problem E/M code. This will allow you to collect payment from the patient.
- Submit the unlisted code or preventive services 99429 because you performed an exam—although not one that meets the criteria of age-specific preventive codes. This code is never reimbursed by Medicare, but once you get a denial, you either can collect from the patient or are able to submit the charge to any secondary insurance she might have. A modifier –GY (item or service statutorily excluded or does not meet the definition of any Medicare benefit) would also need to be added to the preventive medicine code.
Fern testing: CLIA-waived but payer might not cover
Code 87210, in addition to requiring addition of saline or potassium chloride, is not a CLIA-waived test. You would not be able to bill for it unless you have an advanced lab certificate.
Code 89060 is assigned when looking for crystals in synovial fluid. It is also not a CLIA-waived or physician-performed microscopy test, so billing using this code would require an advanced lab certificate as well.
The advent of the national code set has meant that your payers are required to recognize all codes, although they can determine whether to cover a service or not. It may be that this test isn’t covered by your payer, rather than the code not being recognized as correct.
Two voiding studies: Bill together but specify parts
The “9” indicator used by Medicare for bundled codes means that the edit was deleted. In this case, it was deleted on the same date it was added. For some reason, Medicare elects not to remove deleted code pairs from the master database. Although you will get paid for both of these codes, the code order is different depending on whether you are using your own equipment (because of differences in relative value units).
If you bill each test with a modifier -26 (professional component only), you do not own the equipment and the place of service is a facility. In that case, list 51797-26 first and 51795-26-51 second. The modifier -51 is used on the second code because this is a multiple procedure. If you are billing both professional and technical components (ie, you are using your equipment, in the office), billing order is reversed: List 51797 first and 51795-51 second. Do not use a modifier -59 with this code combination.
Fetal genetic abnormality inferred from US; code for further study
At the time of the sonogram, therefore, you can only suspect a problem with the fetal genes; further testing is required. In that case, report 655.13 (known or suspected chromosomal abnormality of the fetus affecting management of mother; antepartum condition or complication) with a secondary diagnosis of 793.99 (other nonspecific abnormal findings on radiological and other examinations of body structure).
Positive ANA—don’t leap to “autoimmune disorder”
Because you have not eliminated the other possibilities for the positive ANA, it is premature to assign the code for an autoimmune condition. Instead, report 648.93 as your primary code (Other current conditions in the mother classifiable elsewhere, complicating pregnancy, childbirth, or the puerperium; antepartum condition or complication), with the secondary diagnosis code 795.79 (Other and unspecified nonspecific immunological findings).
Coding Zoladex depends on the patient’s condition
The drug is supplied as tiny pellets, which are injected under the skin of the abdomen using a small, “trocar-like” needle and syringe. The procedure constitutes an injection. If you are treating breast cancer with this drug, the correct code would be 96402 (Chemotherapy administration, subcutaneous or intramuscular; hormonal antineoplastic). The code for the pellets is J9202 (Goserelin acetate implant, per 3.6 mg). If you administer more than 3.6 mg at a time, remember to adjust the quantity you bill for. If you are using this drug to treat endometriosis or fibroids, CPT directs you to report 90772 for the injection because it is then considered a nonantineoplastic hormone injection.
Call a contraceptive a contraceptive when coding
Implanon’s manufacturer thinks the correct code is 11981 (Insertion, nonbiodegradable drug delivery implant), but I disagree: This is a contraceptive that is implanted under the skin and, under CPT rules, you must use the code that most closely describes the procedure.
Note also that, although Implanon involves insertion of one rod (other systems require insertion of several), the code 11981 has greater relative value units than 11975. This payment difference will not be lost on most payers because the diagnostic link for the procedure, whichever code is reported, is V25.5 (insertion of implantable subdermal contraceptive).
Symptoms Postdischarge
The Institute of Medicine reports To Err is Human and Crossing the Quality Chasm have drawn great attention to quality improvement and patient safety in the hospital setting.13 With the growth of the hospitalist field over the past several years,4 there has been increasing discussion about the importance of assuring quality of care, and some have argued that improving health care quality and reducing avoidable errors may be among the hospitalist's most important functions.5 Most discussions about the quality of hospital care have concerned the inpatient stay itself. However, the growth of hospital medicine, with its inherent discontinuity between inpatient and outpatient physicians, has intensified interest in the transition period from hospital discharge until first outpatient appointment.
At discharge, physicians may prescribe medications, order home health services, and arrange follow‐up appointments. It is often assumed a patient will remain stable after discharge and will follow up at the outpatient physician's office. Previous research has shown there may be problems with these assumptions. A patient may not understand the postdischarge treatment plan as well as the physician thinks.6 A recent study found that adverse events after discharge were common and often preventable.7 A follow‐up study confirmed that approximately 25% of patients had an adverse event after hospital discharge and that most adverse events caused symptoms but did not result in an emergency department visit, hospitalization, or death.8 Another study also found the prevalence of medical errors following hospitalization was high because of the discontinuity of care from the inpatient to the outpatient setting.9 These errors resulted in an increased rate of rehospitalization.
Telephone follow‐up may be a useful method of bridging the gap in care between discharge and the first outpatient appointment.10, 11 In most previous studies it was 2 or 3 weeks after discharge before patients were contacted or their records studied. By this point, patients who had done poorly may already have been readmitted or sought care at alternative locations. In one small study, pharmacists found that 12 of 79 patients (15%) contacted by telephone within 2 days of discharge12 had symptoms there were new or had worsened since discharge. The purpose of the present investigation was to extend these previous findings through a large multicenter study of how frequently patients had new or worsened symptoms within several days of discharge.
METHODS
Settings and Participants
IPCThe Hospitalist Company has hospitalist practices at more than 150 health care facilities in 10 health care markets. At the time of the study, IPC employed more than 300 internal medicine and family practice physicians and discharged approximately 11,000 adult patients per month. The study is a retrospective analysis of data collected from May 1, 2003, to October 31, 2003.
Data Acquisition
Physicians entered clinical and financial information on all hospitalized patients into a handheld personal digital assistant (PDA) utilizing functions of IPC‐LINK software. At the time of discharge, a physician completed a discharge summary on the PDA that was transmitted electronically to a centralized data center. Copies of the discharge summary were also faxed to the outpatient physician's office. Patients were first interviewed by call‐center patient representatives, unlicensed staff with medical backgrounds. Call‐center representatives made several attempts by telephone to reach all patients discharged home within several days of discharge. Using a scripted survey instrument (Appendix A), they asked patients or family members a series of questions about clinical status, new or worsening symptoms, problems with medications or prescribed home health care services, follow‐up appointments with their outpatient physician, and satisfaction with the care received. Call‐center nurses, licensed personnel with extensive medical/surgical and case management experience, contacted patients whose answers to questions on the scripted survey instrument (see last section of Appendix A) indicated a high risk of postdischarge problems, intervening as necessary to resolve the health care issues.
Health status was self rated on a 5‐point Likert scale from excellent to poor in response to the health status question on the SF‐12.13, 14 Patient age was calculated using birth date and admit date from the IPC‐Link discharge summary. With clinical data from the IPC‐Link discharge summary, the 3M DRG Grouper was used to assign each patient a DRG and severity of illness (SOI) score.15 Reported symptoms were grouped in clinically meaningful categories by the lead author.
Statistical Analysis
Logistic regression analysis was performed to analyze the effects of sex, health insurance, inpatient severity of illness, and self‐reported health status on the proportion of patients with symptoms. Sex, health status, and severity of illness were treated as ordered variables. Because insurance type is a nominal variable, HMO was used as the reference category, and the other categories were converted to indicator variables. Pearson chi‐square testing was used for all other analyses. The large number of planned analyses necessitated adjustment of the P values computed for the tests to maintain the type I error rate at 0.05. Therefore, a step‐down Bonferroni procedure was used.16
Role of the Funding Source
Data collection, analysis, and interpretation were funded by IPC and performed by employees of IPC.
RESULTS
During the study period, 48,236 patients were discharged to their homes from an acute care hospital. The IPC call center successfully contacted 16,135 patients after discharge, of whom 368 patients (2.3%) were excluded because of incomplete answers, leaving 15,767 as the valid study population (effective response rate = 32.4%). Of these, 98.9% were contacted within the first 5 days. The primary reasons for nonresponse or noninclusion in the present analysis were no answer after 2 attempts (52%) and missing or incorrect phone numbers (16%). If there was an answering machine, a message was left for the patient to call back. Those who called back accounted for fewer than 1% of all the patients.
A comparison of participants versus nonparticipants is shown in Table 1. The mean age of surveyed patients was 60.1 years, and 57% were female. The most common categories of insurance coverage were Medicare and HMO. The inpatient severity of illness of most patients was minor to moderate. Self‐reported health status was normally distributed, with the greatest percentage of patients rating their health as fair or good. On average, nonparticipants were younger than participants, more likely to be male, had a different pattern of health insurance, and a slightly lower severity of illness. The top 10 DRGs were the same for the respondents and nonrespondents, and the order of these 10 diagnoses was very similar.
Characteristic | Patients in Study | Patients Not in Study | P Value* | ||
---|---|---|---|---|---|
Number of Patients | Percentage of All Patients | Number of Patients | Percentage of All Patients | ||
| |||||
All patients | 15,767 | 32,101 | |||
Mean age (years) | 60.1 | 54.1 | <.0001 | ||
Sex | |||||
Female | 8985 | 57.0% | 17220 | 53.7% | <.0001 |
Male | 6515 | 41.3% | 14337 | 44.7% | <.0001 |
Unknown | 267 | 1.7% | 544 | 1.7% | .897 |
Insurance type | |||||
HMO | 6391 | 40.5% | 12540 | 39.1% | <.001 |
Medicaid | 1066 | 6.8% | 2815 | 8.8% | <.0001 |
Medicare | 6055 | 38.4% | 9777 | 30.4% | <.0001 |
Commercial and other | 1370 | 8.7% | 3490 | 10.9% | <.0001 |
Self‐pay | 885 | 5.6% | 3479 | 10.9% | <.0001 |
Severity of illness | |||||
Minor | 6740 | 42.7% | 14679 | 45.7% | <.0001 |
Moderate | 6854 | 43.5% | 13197 | 41.1% | |
Major | 1688 | 10.7% | 3091 | 9.6% | <.0001 |
Extreme | 118 | 0.7% | 219 | 0.7% | .571 |
Unknown | 367 | 2.3% | 915 | 2.9% | .001 |
Health status | |||||
Excellent | 343 | 2.2% | N/A | ||
Very good | 1392 | 8.8% | N/A | ||
Good | 5505 | 34.9% | N/A | ||
Fair | 5901 | 37.4% | N/A | ||
Poor | 1468 | 9.3% | N/A | ||
Unknown | 1158 | 7.3% | N/A |
Of the 15,767 patients contacted, 11.9% (N = 1876) reported symptoms that were new or had worsened since leaving the hospital. Sixty‐four percent of these patients had new symptoms, and 36% had worsening symptoms. These two groups were combined for analysis in this study because for both groups, identification and action are important. Of the patients with new or worse symptoms, 37% required no assistance from the nurse because they had already notified a doctor and/or were doing something about it. The other 63% either had not notified their doctor or had concerns about their signs and symptoms. The most common action taken by the nurse was patient education regarding the symptoms. Of those requiring nurse intervention in addition to education, the most common intervention was to contact the patient's primary care provider or specialist about the patient's symptoms, followed by contacting the hospitalist. In 72% of nurse interventions, the patient's primary care physician or a specialist was contacted about the new or worsened symptoms. Other interventions included contacting the physician's office to obtain a prescription for a medication for the symptom, to get an appointment for the patient, or to reschedule an appointment to be earlier. A referral to an emergency room or urgent care center was given to 4% of patients.
Mean age of the patients with new or worsened symptoms was 60.5 years. The age distribution of symptomatic and asymptomatic patients was not significantly different, whether comparing by mean, median, or decades. Table 2 illustrates factors associated with the increased rate of new or worsened symptoms. Women were more likely than men to report symptoms (13.0% vs. 10.3%, P < .0001). As health status worsened, the percentage of patients with new or worsened symptoms increased (P < .0001), as it did with increased inpatient SOI (P < .0001). There was no correlation between self‐rated health status and SOI score based on DRG score, suggesting they measured different parameters. Table 3 lists the percentages of patients reporting new or worsened symptoms for the most common DRGs. The only significant distinction was that patients discharged with a DRG of chest pain were less likely to report symptoms than were all patients.
Characteristic | Number of Patients with New or Worsening Symptoms | Percentage of All Patients with New or Worsening Symptoms | P Value for Difference or Trend* |
---|---|---|---|
| |||
All Patients | 1876 | 11.9% | |
Sex | <.0001 | ||
Female | 1170 | 13.0% | |
Male | 672 | 10.3% | |
Insurance Type | |||
HMO | 722 | 11.3% | .89 |
Medicare | 748 | 12.4% | .21 |
Commercial and other | 165 | 12.0% | .53 |
Medicaid | 128 | 12.0% | .27 |
Self‐pay | 113 | 12.8% | |
Severity of illness | .17 | ||
Minor | 748 | 11.1% | |
Moderate | 814 | 11.9% | |
Major | 247 | 14.6% | |
Extreme | 19 | 16.1% | |
Health Status | <.0001 | ||
Excellent | 22 | 6.4% | |
Very good | 85 | 6.1% | |
Good | 429 | 7.8% | |
Fair | 725 | 12.3% | |
Poor | 384 | 26.2% |
DRG | Description | Number of Patients | Percentage of Patients | Patients with New or Worsening Symptoms | Rate of New or Worsening Symptoms | P value |
---|---|---|---|---|---|---|
| ||||||
Total patients in Study | 15,767 | 1876 | 11.9% | |||
143 | Chest pain | 1306 | 8.3% | 128 | 9.8% | 0.027 |
182 | Digest disorders with complications | 801 | 5.1% | 92 | 11.5% | 0.767 |
183 | Digest disorders without complications | 632 | 4.0% | 78 | 12.3% | 0.783 |
127 | Heart failure and shock | 544 | 3.5% | 55 | 10.1% | 0.230 |
89 | Pneumonia with complications | 426 | 2.7% | 39 | 9.2% | 0.098 |
88 | COPD | 380 | 2.4% | 44 | 11.6% | 0.913 |
278 | Cellulitis | 323 | 2.0% | 32 | 9.9% | 0.313 |
174 | GI hemorrhage with complications | 320 | 2.0% | 40 | 12.5% | 0.809 |
15 | CVA | 302 | 1.9% | 25 | 8.3% | 0.066 |
175 | GI hemorrhage without complications | 287 | 1.8% | 34 | 11.8% | 0.948 |
The symptoms the patients reported are categorized in Table 4 without distinction as to whether they are primary or secondary. Gastrointestinal symptoms were the most common category of symptoms, followed by general symptoms, cardiovascular symptoms, and pain. The most common symptoms reported were fatigue/weakness, nausea/vomiting, and edema.
Category | Specific Symptom | Number | % 0f Total |
---|---|---|---|
| |||
Gastrointestinal | 771 | 24.1% | |
Nausea/vomiting | 245 | 7.7% | |
Abdominal pain | 162 | 5.1% | |
Diarrhea | 146 | 4.6% | |
Eating problems | 107 | 3.3% | |
Constipation | 71 | 2.2% | |
General | 527 | 16.5% | |
Fatigue or weakness | 360 | 11.3% | |
Dizziness | 167 | 5.2% | |
Cardiovascular | 388 | 12.1% | |
Edema | 219 | 6.8% | |
Chest pain | 101 | 3.2% | |
Pain | 382 | 11.9% | |
Back and neck | 118 | 3.7% | |
Lower exttremity (including hip) | 115 | 3.6% | |
Generalized | 76 | 2.4% | |
Psychological | 209 | 6.5% | |
Sleeping problems | 125 | 3.9% | |
Change in mental status/psychiatric symptoms | 84 | 2.6% | |
Pulmonary | 382 | 11.9% | |
Dyspnea | 134 | 4.2% | |
Neurological | 199 | 6.2% | |
Headache | 118 | 3.7% | |
Infectious | 192 | 6.0% | |
Fever | 82 | 2.6% | |
Dermatological | 65 | 2.0% | |
Urological | 62 | 1.9% | |
ENT | 50 | 1.6% | |
Diabetic (problems with blood sugar) | 45 | 1.4% | |
Postoperative wound problems | 39 | 1.2% | |
Problems with intravenous sites | 17 | 0.5% | |
Medication Reaction | 14 | 0.4% | |
Bleeding (other than above locations) | 14 | 0.4% | |
Gynecological | 9 | 0.3% | |
Others | 89 | 2.8% |
The call center assessed whether the patient had difficulty making a follow‐up appointment and whether an appointment was scheduled within 2 weeks of discharge. Patients with new or worsening symptoms were only minimally more likely to have scheduled follow‐up (61.0% vs. 58.4% for patients not reporting new or worsening symptoms, P < .05). Symptomatic patients had a higher prevalence of medication issues, defined as not picking up their prescriptions or not understanding how to take their medication (22.2% vs. 6.8% for asymptomatic patients; P < .0001). Likewise, the prevalence of symptomatic patients having problems receiving scheduled home health care services was 5.8%, compared with a prevalence of 3.6% for asymptomatic patients (P < .0001).
DISCUSSION
Enhancing the quality of care provided by hospitalists means not only improving care during hospitalization but also assuring patient stability between discharge and outpatient follow‐up. As part of efforts to improve transition management, the call center at IPC attempted to contact all patients discharged home within several days of discharge. Of 15,767 patients surveyed between May 1, 2003, and October 31, 2003, 11.9% (N = 1876) had new or worsening symptoms since leaving the hospital only 2 or 3 days earlier. We had hypothesized that older patients might be more symptomatic than younger ones, but found no difference in the prevalence of new or worsening symptoms based on age. Women were more likely to be symptomatic than men.
We defined appropriate postdischarge follow‐up as having an appointment with an outpatient physician within 2 weeks. A previous study of psychiatric patients documented that keeping a follow‐up appointment significantly reduces the risk of rehospitalization.17 Similar data do not exist for medical patients. Our data demonstrated that symptomatic patients were only minimally more likely to have made a follow‐up appointment with their outpatient physician within the first 2 weeks than were those patients who were not symptomatic. As part of patient education at discharge, clinicians routinely counsel patients to call their outpatient physician should they experience new or worsening symptoms once at home. Inpatient physicians may assume this recommendation provides a safety net for the patients should they develop problems after discharge. However, our finding that almost 40% of patients with new or worsening symptoms within 2‐3 days of discharge had not made a follow‐up appointment with their physician suggests many patients fall through this safety net. Although there was a slight statistically significant difference between the groups, this difference was not clinically significant. One potential limitation of our data is that we did not examine whether there was a correlation between the day of the week that a patient was discharged and inability to make a follow‐up appointment.
As part of the survey script (see Appendix), we inquired whether patients were able to pick up their prescriptions and whether they understood how to take their medication. A high percentage of patients in our study reported having one of these medication issues in the first several days following hospital discharge, providing an opportunity for early intervention and prevention of medical error. Forster and others have demonstrated that adverse events and medical errors are common in the postdischarge period, affecting 23%‐49% of patients.79 Errors in the transition from inpatient to outpatient care increased the 3‐month rate of rehospitalization.9 New or worsening symptoms represented the most common adverse event.8 Noting that many of these postdischarge complications could be preventable if detected early, Forster suggested system changes such as earlier follow‐up with the outpatient physician or a postdischarge telephone call to check on the patient's status.7, 18 Future studies are planned to further analyze our data on medication issues and to determine if these problems are more prevalent for certain medications or diagnoses.
Comprehensive discharge planning remains an essential step in the discharge process. This may involve prescribing medications, arranging home health care services, and arranging outpatient follow‐up. The traditional hospital discharge process does not adequately ensure that patients understand their discharge plan and are able to comply with it. Calkins et al. compared physicians' perceptions of patients' understanding of medication side effects and activity restrictions with patients' actual understanding.6 They found that, compared with what was reported by patients, physicians overestimated the time spent discussing discharge plans and how well patients understood medication side effects and activity restrictions.
An important method for reducing patient problems is to contact patients by telephone after discharge in order to identify any health care issues. Previous research has confirmed that follow‐up telephone calls improve health outcomes and decrease resource utilization of patients, mainly those discharged from the emergency department.10, 11, 1923 A study of telephone follow‐up after ambulatory care visits did not find significant benefits of this procedure.24 In one of the few studies of telephone calls after hospitalization, pharmacists contacted patients 2 days after discharge and were able to detect and resolve medication‐related problems in 19% of patients and learned of new or worsening symptoms in 15%. Patient satisfaction was improved, and the intervention resulted in a lower rate of repeat visits to the emergency room within 30 days of discharge.12 Another study of telephone follow‐up following hospital discharge compared proactively calling all patients with providing a phone number that patients can call if they have questions. The study demonstrated that very few patients called the number provided, but of those patients called by the nursing service, more than 90% had questions about self‐care and recovery.25 These findings demonstrate the value of proactively contacting patients in the first several days after discharge, when problems can be detected and interventions initiated earlier.
One potential concern with this study was the low response rate. This was a retrospective analysis of an existing discharge management call‐center system, not a prospective study. We were not able to reach 52% of the patients discharged after 2 attempts by telephone. To have our call center make additional attempts to reach each patient by telephone would require a significant increase in the size of the call center, because at the time of the study, the staff was handling more than 370 patients discharged home a day. The telephone number of 16% of patients was missing or incorrect. We have since developed internal quality improvement mechanisms to decrease this percentage. After subtracting the patients we were unable to reach and those whose phone number was missing or incorrect, we were able to contact 32.4% of all the patients discharged home.
Several reasons explain the response rate found by many prospective research studies. In most studies of telephone follow‐up, patients must be able to consent to participate in order to be considered eligible inclusion. This raises the response rate because patients who do not consent to participate, have language barriers, or have no telephone are excluded from the study. In our study none of these types of patients were excluded. There are 2 additional differences between our study and many published studies that involve telephone surveys. Ours was not a prospective research study, and we contacted many more patients than did other studies. For example, a study by Forster et al. involved only 581 patients, and the research staff was diligent in its efforts to reach the patients,7 making up to 20 attempts for each patient. They reported a response rate of 69%. If they had included patients who were non‐English speakers or had no phone in their study, the response rate would have been 59%. Shesser et al. were able to reach 144 of 297 patients in their study of emergency room follow‐up, for a 48.4% response rate.25 The response rate in a study of telephone consultation with asthma patients was quite similar to ours. They enrolled 932 eligible patients, of whom they were able to reach 278, for a response rate of 30%.
It is possible that the rate of symptoms and the other variables we measured relative to this would have been different if we had been able to reach 100% of patients. There were some demographic differences between the patients we were able to reach and those we were not (Table 1). The nonresponders were slightly younger and slightly more likely to be female. Nonresponders were more likely to have Medicaid or commercial insurance or be self‐pay and were less likely to have Medicare. In addition, nonresponders had less severe illness. Although this scenario is highly unlikely, if none of the nonresponders had new or worsening symptoms, the rate of symptoms would only have been 3.86%. Conversely, it is possible but also very unlikely that a greater percentage of the nonresponders had new or worsening symptoms. Given the demographics of our study participants, we would expect a potentially slightly lower rate of signs and symptoms.
The present study had several other limitations. First, all patients surveyed were cared for by IPC‐employed physicians. It is possible that reported rates of symptoms and other postdischarge issues are not generalizable to other hospitalist practices. However, the present data were collected at more than 100 health care facilities in 10 health care markets, and the patients were cared for by more than 200 physicians. Therefore, it is unlikely these results would have been significantly influenced by a particular physician's or institution's practice patterns.
Second, because of the large number of facilities involved and that we could only track readmissions to facilities where our own hospitalists practice, we were not able to report 30‐ or 90‐day readmission rates or emergency room visit rates. In a prospective study, these would be important variables to track in order to assess the clinical relevance of the symptoms. We could track this data for some institutions, but for most of them, the quality of data was not sufficient to be meaningful or to make conclusions.
An additional limitation is that the call center did not differentiate between clinically minor and major symptoms. The inclusion of symptoms perhaps considered minor might have elevated the reported symptom frequency. However, the definitions of minor and major symptoms are very subjective, and a clinician's definitions might differ from those of a patient who is at home and uncomfortable. For example, nausea or loss of appetite related to new medications may be considered minor clinically but could be devastating to the patient experiencing them, leading the patient to stop taking the medication. Conversely, symptoms that may be considered nonsignificant by the patient may be interpreted as indicating clinically significant disease by a physician. Therefore, we would argue that, regardless of the severity of the symptom, follow‐up with a clinician is important.
Another limitation is based on our definition of an adequate follow‐up appointment as one scheduled within 2 weeks of discharge. It might be argued that if a patient's new symptoms were considered minor clinically, then a follow‐up interval greater than 2 weeks might be considered adequate. However, as already noted, a patient's criteria for considering a symptom minor and not requiring follow‐up may differ from a clinician's criteria. Also, the standardized discharge process requires that the hospitalist identify a physician for outpatient follow‐up and specify the period when the patient is to see the physician. Because of the inherent variability in having a many hospitalists practicing in many hospitals, not all patients had a scheduled appointment at discharge. We were not able to determine whether patients had an appointment date and time for follow‐up before discharge or had only received instructions to call the office for an appointment.
The Institute of Medicine, in its report Crossing the Quality Chasm, identified the coordination of care across services and sites of care as one of the health care system's redesign imperatives.2 Hospitalists are in a unique position to address transition care issues. Managing the transition from inpatient to outpatient care is vitally important, and hospitalists should play an essential role in designing a transition management system for discharged patients. Although individual efforts by hospitalists are essential to assuring postdischarge contact with patients, there is increasing agreement that system solutions are needed to improve the quality of care in the transition period following hospitalization. Improving a health care process involves more than working harder; it involves working differently.3 It is therefore imperative that hospitalist programs develop effective systems to manage the transition period until safe arrival by the patient in the outpatient physician's office.
In summary, 11.9% of patients contacted by a telephone call center within several days of discharge had new or worsening symptoms since discharge. There was no difference by age in the prevalence of symptoms. Patients who rated their health status as fair to poor were more likely to be symptomatic. Symptomatic patients were also more likely to have difficulty obtaining or understanding how to take their medications and receiving home health services. Patients who felt poorly were only minimally more likely to have made an appointment for follow‐up with their outpatient physician. It is hoped that by identifying patients who are doing poorly after discharge and intervening as necessary, we can improve the health outcome of our patients, as well as reduce the number of emergency room visits and readmission rates. Although actions by individual physicians are important, a system to manage the postdischarge transition period is essential for improving posthospitalization outcomes.
Acknowledgements
The authors thank Rahul M. Dodhia for his assistance in the statistical analysis of the data and Sunil Kripalani for his thoughtful review of the manuscript.
APPENDIX
- Kohn LT,Corrigan J,Donaldson M, editors. To Err Is Human: Building a Safer Health System.Washington, DC:National Academy Press;2000:xxi,287.
- Institute of Medicine (U.S.).Committee on Quality of Health Care in America. Crossing the Quality Chasm: a New Health System for the 21st Century.Washington, DC:National Academy Press;2001:xx,337.
- An approach to hospital quality improvement.Med Clin North Am.2002;86:825–845. , , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- Making health care safe. Supplement on hospital medicine and patient safety.The Hospitalist.2004:3–4. .
- Patient‐physician communication at hospital discharge and patients' understanding of the postdischarge treatment plan.Arch Intern Med.1997;157:1026–1030. , , , et al.
- The incidence and severity of adverse events affecting patients after discharge from the hospital.Ann Intern Med.2003;138:161–167. , , , , .
- Adverse events among medical patients after discharge from the hospital.CMAJ.2004;170:345–349. , , , et al.
- Medical errors related to discontinuity of care from an inpatient to an outpatient setting.J Gen Intern Med.2003;18:646–651. , , , .
- Telephone care as a substitute for routine clinic follow‐up.JAMA.1992;267:1788–1793. , , , , , .
- Effect of a standardized nurse case‐management telephone intervention on resource use in patients with chronic heart failure.Arch Intern Med.2002;162:705–712. , , , , , .
- The impact of follow‐up telephone calls to patients after hospitalization.Am J Med.2001;111(9B):26S–30S. , , , .
- Medical Outcomes Trust.How to Score the SF‐12 Short Form Health Survey.Boston:The Medical Outcomes Trust;1992.
- Examining emotional, physical, social, and spiritual health as determinants of self‐rated health status.Am J Health Promot.1998;12:275–282. , , .
- 3M Health Information Systems, 3M All Patient Refined DRG Software. Available at: http://3m.com/market/healthcare/his/us/products/apr_drg/brochure.html.
- A simple sequentially rejective Bonferroni test procedure.Scand J Stat.1979;6:65–70. .
- Effects of discharge planning and compliance with outpatient appointments on readmission rates.Psychiatr Serv.2000;51:885–889. , , .
- J. Can you prevent adverse drug events after hospital discharge?CMAJ.2006;174:921–922. .
- Follow‐up phone calls after an emergency department visit.Pediatrics.1994;93:513–514. , .
- Efficacy of a telephone follow‐up system in the emergency department.J Emerg Med.1988;6:249–254. , , , .
- A randomized trial to improve compliance in urinary tract infection patients in the emergency department.Ann Emerg Med.1990;19:16–20. , , .
- The effectiveness of an organized emergency department follow‐up system.Ann Emerg Med.1986;15:911–915. , , , , .
- The importance of postdischarge telephone follow‐up for hospitalists: a view from the trenches.Am J Med.2001;111(9B):43S–44S. .
- Telephone care as an adjunct to routine medical follow‐up. A negative randomized trial.Eff Clin Pract.2000;3:123–130. , , .
- Telephone follow‐up after discharge from the hospital: does it make a difference?Appl Nurs Res.1996;9:47–52. , , .
The Institute of Medicine reports To Err is Human and Crossing the Quality Chasm have drawn great attention to quality improvement and patient safety in the hospital setting.13 With the growth of the hospitalist field over the past several years,4 there has been increasing discussion about the importance of assuring quality of care, and some have argued that improving health care quality and reducing avoidable errors may be among the hospitalist's most important functions.5 Most discussions about the quality of hospital care have concerned the inpatient stay itself. However, the growth of hospital medicine, with its inherent discontinuity between inpatient and outpatient physicians, has intensified interest in the transition period from hospital discharge until first outpatient appointment.
At discharge, physicians may prescribe medications, order home health services, and arrange follow‐up appointments. It is often assumed a patient will remain stable after discharge and will follow up at the outpatient physician's office. Previous research has shown there may be problems with these assumptions. A patient may not understand the postdischarge treatment plan as well as the physician thinks.6 A recent study found that adverse events after discharge were common and often preventable.7 A follow‐up study confirmed that approximately 25% of patients had an adverse event after hospital discharge and that most adverse events caused symptoms but did not result in an emergency department visit, hospitalization, or death.8 Another study also found the prevalence of medical errors following hospitalization was high because of the discontinuity of care from the inpatient to the outpatient setting.9 These errors resulted in an increased rate of rehospitalization.
Telephone follow‐up may be a useful method of bridging the gap in care between discharge and the first outpatient appointment.10, 11 In most previous studies it was 2 or 3 weeks after discharge before patients were contacted or their records studied. By this point, patients who had done poorly may already have been readmitted or sought care at alternative locations. In one small study, pharmacists found that 12 of 79 patients (15%) contacted by telephone within 2 days of discharge12 had symptoms there were new or had worsened since discharge. The purpose of the present investigation was to extend these previous findings through a large multicenter study of how frequently patients had new or worsened symptoms within several days of discharge.
METHODS
Settings and Participants
IPCThe Hospitalist Company has hospitalist practices at more than 150 health care facilities in 10 health care markets. At the time of the study, IPC employed more than 300 internal medicine and family practice physicians and discharged approximately 11,000 adult patients per month. The study is a retrospective analysis of data collected from May 1, 2003, to October 31, 2003.
Data Acquisition
Physicians entered clinical and financial information on all hospitalized patients into a handheld personal digital assistant (PDA) utilizing functions of IPC‐LINK software. At the time of discharge, a physician completed a discharge summary on the PDA that was transmitted electronically to a centralized data center. Copies of the discharge summary were also faxed to the outpatient physician's office. Patients were first interviewed by call‐center patient representatives, unlicensed staff with medical backgrounds. Call‐center representatives made several attempts by telephone to reach all patients discharged home within several days of discharge. Using a scripted survey instrument (Appendix A), they asked patients or family members a series of questions about clinical status, new or worsening symptoms, problems with medications or prescribed home health care services, follow‐up appointments with their outpatient physician, and satisfaction with the care received. Call‐center nurses, licensed personnel with extensive medical/surgical and case management experience, contacted patients whose answers to questions on the scripted survey instrument (see last section of Appendix A) indicated a high risk of postdischarge problems, intervening as necessary to resolve the health care issues.
Health status was self rated on a 5‐point Likert scale from excellent to poor in response to the health status question on the SF‐12.13, 14 Patient age was calculated using birth date and admit date from the IPC‐Link discharge summary. With clinical data from the IPC‐Link discharge summary, the 3M DRG Grouper was used to assign each patient a DRG and severity of illness (SOI) score.15 Reported symptoms were grouped in clinically meaningful categories by the lead author.
Statistical Analysis
Logistic regression analysis was performed to analyze the effects of sex, health insurance, inpatient severity of illness, and self‐reported health status on the proportion of patients with symptoms. Sex, health status, and severity of illness were treated as ordered variables. Because insurance type is a nominal variable, HMO was used as the reference category, and the other categories were converted to indicator variables. Pearson chi‐square testing was used for all other analyses. The large number of planned analyses necessitated adjustment of the P values computed for the tests to maintain the type I error rate at 0.05. Therefore, a step‐down Bonferroni procedure was used.16
Role of the Funding Source
Data collection, analysis, and interpretation were funded by IPC and performed by employees of IPC.
RESULTS
During the study period, 48,236 patients were discharged to their homes from an acute care hospital. The IPC call center successfully contacted 16,135 patients after discharge, of whom 368 patients (2.3%) were excluded because of incomplete answers, leaving 15,767 as the valid study population (effective response rate = 32.4%). Of these, 98.9% were contacted within the first 5 days. The primary reasons for nonresponse or noninclusion in the present analysis were no answer after 2 attempts (52%) and missing or incorrect phone numbers (16%). If there was an answering machine, a message was left for the patient to call back. Those who called back accounted for fewer than 1% of all the patients.
A comparison of participants versus nonparticipants is shown in Table 1. The mean age of surveyed patients was 60.1 years, and 57% were female. The most common categories of insurance coverage were Medicare and HMO. The inpatient severity of illness of most patients was minor to moderate. Self‐reported health status was normally distributed, with the greatest percentage of patients rating their health as fair or good. On average, nonparticipants were younger than participants, more likely to be male, had a different pattern of health insurance, and a slightly lower severity of illness. The top 10 DRGs were the same for the respondents and nonrespondents, and the order of these 10 diagnoses was very similar.
Characteristic | Patients in Study | Patients Not in Study | P Value* | ||
---|---|---|---|---|---|
Number of Patients | Percentage of All Patients | Number of Patients | Percentage of All Patients | ||
| |||||
All patients | 15,767 | 32,101 | |||
Mean age (years) | 60.1 | 54.1 | <.0001 | ||
Sex | |||||
Female | 8985 | 57.0% | 17220 | 53.7% | <.0001 |
Male | 6515 | 41.3% | 14337 | 44.7% | <.0001 |
Unknown | 267 | 1.7% | 544 | 1.7% | .897 |
Insurance type | |||||
HMO | 6391 | 40.5% | 12540 | 39.1% | <.001 |
Medicaid | 1066 | 6.8% | 2815 | 8.8% | <.0001 |
Medicare | 6055 | 38.4% | 9777 | 30.4% | <.0001 |
Commercial and other | 1370 | 8.7% | 3490 | 10.9% | <.0001 |
Self‐pay | 885 | 5.6% | 3479 | 10.9% | <.0001 |
Severity of illness | |||||
Minor | 6740 | 42.7% | 14679 | 45.7% | <.0001 |
Moderate | 6854 | 43.5% | 13197 | 41.1% | |
Major | 1688 | 10.7% | 3091 | 9.6% | <.0001 |
Extreme | 118 | 0.7% | 219 | 0.7% | .571 |
Unknown | 367 | 2.3% | 915 | 2.9% | .001 |
Health status | |||||
Excellent | 343 | 2.2% | N/A | ||
Very good | 1392 | 8.8% | N/A | ||
Good | 5505 | 34.9% | N/A | ||
Fair | 5901 | 37.4% | N/A | ||
Poor | 1468 | 9.3% | N/A | ||
Unknown | 1158 | 7.3% | N/A |
Of the 15,767 patients contacted, 11.9% (N = 1876) reported symptoms that were new or had worsened since leaving the hospital. Sixty‐four percent of these patients had new symptoms, and 36% had worsening symptoms. These two groups were combined for analysis in this study because for both groups, identification and action are important. Of the patients with new or worse symptoms, 37% required no assistance from the nurse because they had already notified a doctor and/or were doing something about it. The other 63% either had not notified their doctor or had concerns about their signs and symptoms. The most common action taken by the nurse was patient education regarding the symptoms. Of those requiring nurse intervention in addition to education, the most common intervention was to contact the patient's primary care provider or specialist about the patient's symptoms, followed by contacting the hospitalist. In 72% of nurse interventions, the patient's primary care physician or a specialist was contacted about the new or worsened symptoms. Other interventions included contacting the physician's office to obtain a prescription for a medication for the symptom, to get an appointment for the patient, or to reschedule an appointment to be earlier. A referral to an emergency room or urgent care center was given to 4% of patients.
Mean age of the patients with new or worsened symptoms was 60.5 years. The age distribution of symptomatic and asymptomatic patients was not significantly different, whether comparing by mean, median, or decades. Table 2 illustrates factors associated with the increased rate of new or worsened symptoms. Women were more likely than men to report symptoms (13.0% vs. 10.3%, P < .0001). As health status worsened, the percentage of patients with new or worsened symptoms increased (P < .0001), as it did with increased inpatient SOI (P < .0001). There was no correlation between self‐rated health status and SOI score based on DRG score, suggesting they measured different parameters. Table 3 lists the percentages of patients reporting new or worsened symptoms for the most common DRGs. The only significant distinction was that patients discharged with a DRG of chest pain were less likely to report symptoms than were all patients.
Characteristic | Number of Patients with New or Worsening Symptoms | Percentage of All Patients with New or Worsening Symptoms | P Value for Difference or Trend* |
---|---|---|---|
| |||
All Patients | 1876 | 11.9% | |
Sex | <.0001 | ||
Female | 1170 | 13.0% | |
Male | 672 | 10.3% | |
Insurance Type | |||
HMO | 722 | 11.3% | .89 |
Medicare | 748 | 12.4% | .21 |
Commercial and other | 165 | 12.0% | .53 |
Medicaid | 128 | 12.0% | .27 |
Self‐pay | 113 | 12.8% | |
Severity of illness | .17 | ||
Minor | 748 | 11.1% | |
Moderate | 814 | 11.9% | |
Major | 247 | 14.6% | |
Extreme | 19 | 16.1% | |
Health Status | <.0001 | ||
Excellent | 22 | 6.4% | |
Very good | 85 | 6.1% | |
Good | 429 | 7.8% | |
Fair | 725 | 12.3% | |
Poor | 384 | 26.2% |
DRG | Description | Number of Patients | Percentage of Patients | Patients with New or Worsening Symptoms | Rate of New or Worsening Symptoms | P value |
---|---|---|---|---|---|---|
| ||||||
Total patients in Study | 15,767 | 1876 | 11.9% | |||
143 | Chest pain | 1306 | 8.3% | 128 | 9.8% | 0.027 |
182 | Digest disorders with complications | 801 | 5.1% | 92 | 11.5% | 0.767 |
183 | Digest disorders without complications | 632 | 4.0% | 78 | 12.3% | 0.783 |
127 | Heart failure and shock | 544 | 3.5% | 55 | 10.1% | 0.230 |
89 | Pneumonia with complications | 426 | 2.7% | 39 | 9.2% | 0.098 |
88 | COPD | 380 | 2.4% | 44 | 11.6% | 0.913 |
278 | Cellulitis | 323 | 2.0% | 32 | 9.9% | 0.313 |
174 | GI hemorrhage with complications | 320 | 2.0% | 40 | 12.5% | 0.809 |
15 | CVA | 302 | 1.9% | 25 | 8.3% | 0.066 |
175 | GI hemorrhage without complications | 287 | 1.8% | 34 | 11.8% | 0.948 |
The symptoms the patients reported are categorized in Table 4 without distinction as to whether they are primary or secondary. Gastrointestinal symptoms were the most common category of symptoms, followed by general symptoms, cardiovascular symptoms, and pain. The most common symptoms reported were fatigue/weakness, nausea/vomiting, and edema.
Category | Specific Symptom | Number | % 0f Total |
---|---|---|---|
| |||
Gastrointestinal | 771 | 24.1% | |
Nausea/vomiting | 245 | 7.7% | |
Abdominal pain | 162 | 5.1% | |
Diarrhea | 146 | 4.6% | |
Eating problems | 107 | 3.3% | |
Constipation | 71 | 2.2% | |
General | 527 | 16.5% | |
Fatigue or weakness | 360 | 11.3% | |
Dizziness | 167 | 5.2% | |
Cardiovascular | 388 | 12.1% | |
Edema | 219 | 6.8% | |
Chest pain | 101 | 3.2% | |
Pain | 382 | 11.9% | |
Back and neck | 118 | 3.7% | |
Lower exttremity (including hip) | 115 | 3.6% | |
Generalized | 76 | 2.4% | |
Psychological | 209 | 6.5% | |
Sleeping problems | 125 | 3.9% | |
Change in mental status/psychiatric symptoms | 84 | 2.6% | |
Pulmonary | 382 | 11.9% | |
Dyspnea | 134 | 4.2% | |
Neurological | 199 | 6.2% | |
Headache | 118 | 3.7% | |
Infectious | 192 | 6.0% | |
Fever | 82 | 2.6% | |
Dermatological | 65 | 2.0% | |
Urological | 62 | 1.9% | |
ENT | 50 | 1.6% | |
Diabetic (problems with blood sugar) | 45 | 1.4% | |
Postoperative wound problems | 39 | 1.2% | |
Problems with intravenous sites | 17 | 0.5% | |
Medication Reaction | 14 | 0.4% | |
Bleeding (other than above locations) | 14 | 0.4% | |
Gynecological | 9 | 0.3% | |
Others | 89 | 2.8% |
The call center assessed whether the patient had difficulty making a follow‐up appointment and whether an appointment was scheduled within 2 weeks of discharge. Patients with new or worsening symptoms were only minimally more likely to have scheduled follow‐up (61.0% vs. 58.4% for patients not reporting new or worsening symptoms, P < .05). Symptomatic patients had a higher prevalence of medication issues, defined as not picking up their prescriptions or not understanding how to take their medication (22.2% vs. 6.8% for asymptomatic patients; P < .0001). Likewise, the prevalence of symptomatic patients having problems receiving scheduled home health care services was 5.8%, compared with a prevalence of 3.6% for asymptomatic patients (P < .0001).
DISCUSSION
Enhancing the quality of care provided by hospitalists means not only improving care during hospitalization but also assuring patient stability between discharge and outpatient follow‐up. As part of efforts to improve transition management, the call center at IPC attempted to contact all patients discharged home within several days of discharge. Of 15,767 patients surveyed between May 1, 2003, and October 31, 2003, 11.9% (N = 1876) had new or worsening symptoms since leaving the hospital only 2 or 3 days earlier. We had hypothesized that older patients might be more symptomatic than younger ones, but found no difference in the prevalence of new or worsening symptoms based on age. Women were more likely to be symptomatic than men.
We defined appropriate postdischarge follow‐up as having an appointment with an outpatient physician within 2 weeks. A previous study of psychiatric patients documented that keeping a follow‐up appointment significantly reduces the risk of rehospitalization.17 Similar data do not exist for medical patients. Our data demonstrated that symptomatic patients were only minimally more likely to have made a follow‐up appointment with their outpatient physician within the first 2 weeks than were those patients who were not symptomatic. As part of patient education at discharge, clinicians routinely counsel patients to call their outpatient physician should they experience new or worsening symptoms once at home. Inpatient physicians may assume this recommendation provides a safety net for the patients should they develop problems after discharge. However, our finding that almost 40% of patients with new or worsening symptoms within 2‐3 days of discharge had not made a follow‐up appointment with their physician suggests many patients fall through this safety net. Although there was a slight statistically significant difference between the groups, this difference was not clinically significant. One potential limitation of our data is that we did not examine whether there was a correlation between the day of the week that a patient was discharged and inability to make a follow‐up appointment.
As part of the survey script (see Appendix), we inquired whether patients were able to pick up their prescriptions and whether they understood how to take their medication. A high percentage of patients in our study reported having one of these medication issues in the first several days following hospital discharge, providing an opportunity for early intervention and prevention of medical error. Forster and others have demonstrated that adverse events and medical errors are common in the postdischarge period, affecting 23%‐49% of patients.79 Errors in the transition from inpatient to outpatient care increased the 3‐month rate of rehospitalization.9 New or worsening symptoms represented the most common adverse event.8 Noting that many of these postdischarge complications could be preventable if detected early, Forster suggested system changes such as earlier follow‐up with the outpatient physician or a postdischarge telephone call to check on the patient's status.7, 18 Future studies are planned to further analyze our data on medication issues and to determine if these problems are more prevalent for certain medications or diagnoses.
Comprehensive discharge planning remains an essential step in the discharge process. This may involve prescribing medications, arranging home health care services, and arranging outpatient follow‐up. The traditional hospital discharge process does not adequately ensure that patients understand their discharge plan and are able to comply with it. Calkins et al. compared physicians' perceptions of patients' understanding of medication side effects and activity restrictions with patients' actual understanding.6 They found that, compared with what was reported by patients, physicians overestimated the time spent discussing discharge plans and how well patients understood medication side effects and activity restrictions.
An important method for reducing patient problems is to contact patients by telephone after discharge in order to identify any health care issues. Previous research has confirmed that follow‐up telephone calls improve health outcomes and decrease resource utilization of patients, mainly those discharged from the emergency department.10, 11, 1923 A study of telephone follow‐up after ambulatory care visits did not find significant benefits of this procedure.24 In one of the few studies of telephone calls after hospitalization, pharmacists contacted patients 2 days after discharge and were able to detect and resolve medication‐related problems in 19% of patients and learned of new or worsening symptoms in 15%. Patient satisfaction was improved, and the intervention resulted in a lower rate of repeat visits to the emergency room within 30 days of discharge.12 Another study of telephone follow‐up following hospital discharge compared proactively calling all patients with providing a phone number that patients can call if they have questions. The study demonstrated that very few patients called the number provided, but of those patients called by the nursing service, more than 90% had questions about self‐care and recovery.25 These findings demonstrate the value of proactively contacting patients in the first several days after discharge, when problems can be detected and interventions initiated earlier.
One potential concern with this study was the low response rate. This was a retrospective analysis of an existing discharge management call‐center system, not a prospective study. We were not able to reach 52% of the patients discharged after 2 attempts by telephone. To have our call center make additional attempts to reach each patient by telephone would require a significant increase in the size of the call center, because at the time of the study, the staff was handling more than 370 patients discharged home a day. The telephone number of 16% of patients was missing or incorrect. We have since developed internal quality improvement mechanisms to decrease this percentage. After subtracting the patients we were unable to reach and those whose phone number was missing or incorrect, we were able to contact 32.4% of all the patients discharged home.
Several reasons explain the response rate found by many prospective research studies. In most studies of telephone follow‐up, patients must be able to consent to participate in order to be considered eligible inclusion. This raises the response rate because patients who do not consent to participate, have language barriers, or have no telephone are excluded from the study. In our study none of these types of patients were excluded. There are 2 additional differences between our study and many published studies that involve telephone surveys. Ours was not a prospective research study, and we contacted many more patients than did other studies. For example, a study by Forster et al. involved only 581 patients, and the research staff was diligent in its efforts to reach the patients,7 making up to 20 attempts for each patient. They reported a response rate of 69%. If they had included patients who were non‐English speakers or had no phone in their study, the response rate would have been 59%. Shesser et al. were able to reach 144 of 297 patients in their study of emergency room follow‐up, for a 48.4% response rate.25 The response rate in a study of telephone consultation with asthma patients was quite similar to ours. They enrolled 932 eligible patients, of whom they were able to reach 278, for a response rate of 30%.
It is possible that the rate of symptoms and the other variables we measured relative to this would have been different if we had been able to reach 100% of patients. There were some demographic differences between the patients we were able to reach and those we were not (Table 1). The nonresponders were slightly younger and slightly more likely to be female. Nonresponders were more likely to have Medicaid or commercial insurance or be self‐pay and were less likely to have Medicare. In addition, nonresponders had less severe illness. Although this scenario is highly unlikely, if none of the nonresponders had new or worsening symptoms, the rate of symptoms would only have been 3.86%. Conversely, it is possible but also very unlikely that a greater percentage of the nonresponders had new or worsening symptoms. Given the demographics of our study participants, we would expect a potentially slightly lower rate of signs and symptoms.
The present study had several other limitations. First, all patients surveyed were cared for by IPC‐employed physicians. It is possible that reported rates of symptoms and other postdischarge issues are not generalizable to other hospitalist practices. However, the present data were collected at more than 100 health care facilities in 10 health care markets, and the patients were cared for by more than 200 physicians. Therefore, it is unlikely these results would have been significantly influenced by a particular physician's or institution's practice patterns.
Second, because of the large number of facilities involved and that we could only track readmissions to facilities where our own hospitalists practice, we were not able to report 30‐ or 90‐day readmission rates or emergency room visit rates. In a prospective study, these would be important variables to track in order to assess the clinical relevance of the symptoms. We could track this data for some institutions, but for most of them, the quality of data was not sufficient to be meaningful or to make conclusions.
An additional limitation is that the call center did not differentiate between clinically minor and major symptoms. The inclusion of symptoms perhaps considered minor might have elevated the reported symptom frequency. However, the definitions of minor and major symptoms are very subjective, and a clinician's definitions might differ from those of a patient who is at home and uncomfortable. For example, nausea or loss of appetite related to new medications may be considered minor clinically but could be devastating to the patient experiencing them, leading the patient to stop taking the medication. Conversely, symptoms that may be considered nonsignificant by the patient may be interpreted as indicating clinically significant disease by a physician. Therefore, we would argue that, regardless of the severity of the symptom, follow‐up with a clinician is important.
Another limitation is based on our definition of an adequate follow‐up appointment as one scheduled within 2 weeks of discharge. It might be argued that if a patient's new symptoms were considered minor clinically, then a follow‐up interval greater than 2 weeks might be considered adequate. However, as already noted, a patient's criteria for considering a symptom minor and not requiring follow‐up may differ from a clinician's criteria. Also, the standardized discharge process requires that the hospitalist identify a physician for outpatient follow‐up and specify the period when the patient is to see the physician. Because of the inherent variability in having a many hospitalists practicing in many hospitals, not all patients had a scheduled appointment at discharge. We were not able to determine whether patients had an appointment date and time for follow‐up before discharge or had only received instructions to call the office for an appointment.
The Institute of Medicine, in its report Crossing the Quality Chasm, identified the coordination of care across services and sites of care as one of the health care system's redesign imperatives.2 Hospitalists are in a unique position to address transition care issues. Managing the transition from inpatient to outpatient care is vitally important, and hospitalists should play an essential role in designing a transition management system for discharged patients. Although individual efforts by hospitalists are essential to assuring postdischarge contact with patients, there is increasing agreement that system solutions are needed to improve the quality of care in the transition period following hospitalization. Improving a health care process involves more than working harder; it involves working differently.3 It is therefore imperative that hospitalist programs develop effective systems to manage the transition period until safe arrival by the patient in the outpatient physician's office.
In summary, 11.9% of patients contacted by a telephone call center within several days of discharge had new or worsening symptoms since discharge. There was no difference by age in the prevalence of symptoms. Patients who rated their health status as fair to poor were more likely to be symptomatic. Symptomatic patients were also more likely to have difficulty obtaining or understanding how to take their medications and receiving home health services. Patients who felt poorly were only minimally more likely to have made an appointment for follow‐up with their outpatient physician. It is hoped that by identifying patients who are doing poorly after discharge and intervening as necessary, we can improve the health outcome of our patients, as well as reduce the number of emergency room visits and readmission rates. Although actions by individual physicians are important, a system to manage the postdischarge transition period is essential for improving posthospitalization outcomes.
Acknowledgements
The authors thank Rahul M. Dodhia for his assistance in the statistical analysis of the data and Sunil Kripalani for his thoughtful review of the manuscript.
APPENDIX
The Institute of Medicine reports To Err is Human and Crossing the Quality Chasm have drawn great attention to quality improvement and patient safety in the hospital setting.13 With the growth of the hospitalist field over the past several years,4 there has been increasing discussion about the importance of assuring quality of care, and some have argued that improving health care quality and reducing avoidable errors may be among the hospitalist's most important functions.5 Most discussions about the quality of hospital care have concerned the inpatient stay itself. However, the growth of hospital medicine, with its inherent discontinuity between inpatient and outpatient physicians, has intensified interest in the transition period from hospital discharge until first outpatient appointment.
At discharge, physicians may prescribe medications, order home health services, and arrange follow‐up appointments. It is often assumed a patient will remain stable after discharge and will follow up at the outpatient physician's office. Previous research has shown there may be problems with these assumptions. A patient may not understand the postdischarge treatment plan as well as the physician thinks.6 A recent study found that adverse events after discharge were common and often preventable.7 A follow‐up study confirmed that approximately 25% of patients had an adverse event after hospital discharge and that most adverse events caused symptoms but did not result in an emergency department visit, hospitalization, or death.8 Another study also found the prevalence of medical errors following hospitalization was high because of the discontinuity of care from the inpatient to the outpatient setting.9 These errors resulted in an increased rate of rehospitalization.
Telephone follow‐up may be a useful method of bridging the gap in care between discharge and the first outpatient appointment.10, 11 In most previous studies it was 2 or 3 weeks after discharge before patients were contacted or their records studied. By this point, patients who had done poorly may already have been readmitted or sought care at alternative locations. In one small study, pharmacists found that 12 of 79 patients (15%) contacted by telephone within 2 days of discharge12 had symptoms there were new or had worsened since discharge. The purpose of the present investigation was to extend these previous findings through a large multicenter study of how frequently patients had new or worsened symptoms within several days of discharge.
METHODS
Settings and Participants
IPCThe Hospitalist Company has hospitalist practices at more than 150 health care facilities in 10 health care markets. At the time of the study, IPC employed more than 300 internal medicine and family practice physicians and discharged approximately 11,000 adult patients per month. The study is a retrospective analysis of data collected from May 1, 2003, to October 31, 2003.
Data Acquisition
Physicians entered clinical and financial information on all hospitalized patients into a handheld personal digital assistant (PDA) utilizing functions of IPC‐LINK software. At the time of discharge, a physician completed a discharge summary on the PDA that was transmitted electronically to a centralized data center. Copies of the discharge summary were also faxed to the outpatient physician's office. Patients were first interviewed by call‐center patient representatives, unlicensed staff with medical backgrounds. Call‐center representatives made several attempts by telephone to reach all patients discharged home within several days of discharge. Using a scripted survey instrument (Appendix A), they asked patients or family members a series of questions about clinical status, new or worsening symptoms, problems with medications or prescribed home health care services, follow‐up appointments with their outpatient physician, and satisfaction with the care received. Call‐center nurses, licensed personnel with extensive medical/surgical and case management experience, contacted patients whose answers to questions on the scripted survey instrument (see last section of Appendix A) indicated a high risk of postdischarge problems, intervening as necessary to resolve the health care issues.
Health status was self rated on a 5‐point Likert scale from excellent to poor in response to the health status question on the SF‐12.13, 14 Patient age was calculated using birth date and admit date from the IPC‐Link discharge summary. With clinical data from the IPC‐Link discharge summary, the 3M DRG Grouper was used to assign each patient a DRG and severity of illness (SOI) score.15 Reported symptoms were grouped in clinically meaningful categories by the lead author.
Statistical Analysis
Logistic regression analysis was performed to analyze the effects of sex, health insurance, inpatient severity of illness, and self‐reported health status on the proportion of patients with symptoms. Sex, health status, and severity of illness were treated as ordered variables. Because insurance type is a nominal variable, HMO was used as the reference category, and the other categories were converted to indicator variables. Pearson chi‐square testing was used for all other analyses. The large number of planned analyses necessitated adjustment of the P values computed for the tests to maintain the type I error rate at 0.05. Therefore, a step‐down Bonferroni procedure was used.16
Role of the Funding Source
Data collection, analysis, and interpretation were funded by IPC and performed by employees of IPC.
RESULTS
During the study period, 48,236 patients were discharged to their homes from an acute care hospital. The IPC call center successfully contacted 16,135 patients after discharge, of whom 368 patients (2.3%) were excluded because of incomplete answers, leaving 15,767 as the valid study population (effective response rate = 32.4%). Of these, 98.9% were contacted within the first 5 days. The primary reasons for nonresponse or noninclusion in the present analysis were no answer after 2 attempts (52%) and missing or incorrect phone numbers (16%). If there was an answering machine, a message was left for the patient to call back. Those who called back accounted for fewer than 1% of all the patients.
A comparison of participants versus nonparticipants is shown in Table 1. The mean age of surveyed patients was 60.1 years, and 57% were female. The most common categories of insurance coverage were Medicare and HMO. The inpatient severity of illness of most patients was minor to moderate. Self‐reported health status was normally distributed, with the greatest percentage of patients rating their health as fair or good. On average, nonparticipants were younger than participants, more likely to be male, had a different pattern of health insurance, and a slightly lower severity of illness. The top 10 DRGs were the same for the respondents and nonrespondents, and the order of these 10 diagnoses was very similar.
Characteristic | Patients in Study | Patients Not in Study | P Value* | ||
---|---|---|---|---|---|
Number of Patients | Percentage of All Patients | Number of Patients | Percentage of All Patients | ||
| |||||
All patients | 15,767 | 32,101 | |||
Mean age (years) | 60.1 | 54.1 | <.0001 | ||
Sex | |||||
Female | 8985 | 57.0% | 17220 | 53.7% | <.0001 |
Male | 6515 | 41.3% | 14337 | 44.7% | <.0001 |
Unknown | 267 | 1.7% | 544 | 1.7% | .897 |
Insurance type | |||||
HMO | 6391 | 40.5% | 12540 | 39.1% | <.001 |
Medicaid | 1066 | 6.8% | 2815 | 8.8% | <.0001 |
Medicare | 6055 | 38.4% | 9777 | 30.4% | <.0001 |
Commercial and other | 1370 | 8.7% | 3490 | 10.9% | <.0001 |
Self‐pay | 885 | 5.6% | 3479 | 10.9% | <.0001 |
Severity of illness | |||||
Minor | 6740 | 42.7% | 14679 | 45.7% | <.0001 |
Moderate | 6854 | 43.5% | 13197 | 41.1% | |
Major | 1688 | 10.7% | 3091 | 9.6% | <.0001 |
Extreme | 118 | 0.7% | 219 | 0.7% | .571 |
Unknown | 367 | 2.3% | 915 | 2.9% | .001 |
Health status | |||||
Excellent | 343 | 2.2% | N/A | ||
Very good | 1392 | 8.8% | N/A | ||
Good | 5505 | 34.9% | N/A | ||
Fair | 5901 | 37.4% | N/A | ||
Poor | 1468 | 9.3% | N/A | ||
Unknown | 1158 | 7.3% | N/A |
Of the 15,767 patients contacted, 11.9% (N = 1876) reported symptoms that were new or had worsened since leaving the hospital. Sixty‐four percent of these patients had new symptoms, and 36% had worsening symptoms. These two groups were combined for analysis in this study because for both groups, identification and action are important. Of the patients with new or worse symptoms, 37% required no assistance from the nurse because they had already notified a doctor and/or were doing something about it. The other 63% either had not notified their doctor or had concerns about their signs and symptoms. The most common action taken by the nurse was patient education regarding the symptoms. Of those requiring nurse intervention in addition to education, the most common intervention was to contact the patient's primary care provider or specialist about the patient's symptoms, followed by contacting the hospitalist. In 72% of nurse interventions, the patient's primary care physician or a specialist was contacted about the new or worsened symptoms. Other interventions included contacting the physician's office to obtain a prescription for a medication for the symptom, to get an appointment for the patient, or to reschedule an appointment to be earlier. A referral to an emergency room or urgent care center was given to 4% of patients.
Mean age of the patients with new or worsened symptoms was 60.5 years. The age distribution of symptomatic and asymptomatic patients was not significantly different, whether comparing by mean, median, or decades. Table 2 illustrates factors associated with the increased rate of new or worsened symptoms. Women were more likely than men to report symptoms (13.0% vs. 10.3%, P < .0001). As health status worsened, the percentage of patients with new or worsened symptoms increased (P < .0001), as it did with increased inpatient SOI (P < .0001). There was no correlation between self‐rated health status and SOI score based on DRG score, suggesting they measured different parameters. Table 3 lists the percentages of patients reporting new or worsened symptoms for the most common DRGs. The only significant distinction was that patients discharged with a DRG of chest pain were less likely to report symptoms than were all patients.
Characteristic | Number of Patients with New or Worsening Symptoms | Percentage of All Patients with New or Worsening Symptoms | P Value for Difference or Trend* |
---|---|---|---|
| |||
All Patients | 1876 | 11.9% | |
Sex | <.0001 | ||
Female | 1170 | 13.0% | |
Male | 672 | 10.3% | |
Insurance Type | |||
HMO | 722 | 11.3% | .89 |
Medicare | 748 | 12.4% | .21 |
Commercial and other | 165 | 12.0% | .53 |
Medicaid | 128 | 12.0% | .27 |
Self‐pay | 113 | 12.8% | |
Severity of illness | .17 | ||
Minor | 748 | 11.1% | |
Moderate | 814 | 11.9% | |
Major | 247 | 14.6% | |
Extreme | 19 | 16.1% | |
Health Status | <.0001 | ||
Excellent | 22 | 6.4% | |
Very good | 85 | 6.1% | |
Good | 429 | 7.8% | |
Fair | 725 | 12.3% | |
Poor | 384 | 26.2% |
DRG | Description | Number of Patients | Percentage of Patients | Patients with New or Worsening Symptoms | Rate of New or Worsening Symptoms | P value |
---|---|---|---|---|---|---|
| ||||||
Total patients in Study | 15,767 | 1876 | 11.9% | |||
143 | Chest pain | 1306 | 8.3% | 128 | 9.8% | 0.027 |
182 | Digest disorders with complications | 801 | 5.1% | 92 | 11.5% | 0.767 |
183 | Digest disorders without complications | 632 | 4.0% | 78 | 12.3% | 0.783 |
127 | Heart failure and shock | 544 | 3.5% | 55 | 10.1% | 0.230 |
89 | Pneumonia with complications | 426 | 2.7% | 39 | 9.2% | 0.098 |
88 | COPD | 380 | 2.4% | 44 | 11.6% | 0.913 |
278 | Cellulitis | 323 | 2.0% | 32 | 9.9% | 0.313 |
174 | GI hemorrhage with complications | 320 | 2.0% | 40 | 12.5% | 0.809 |
15 | CVA | 302 | 1.9% | 25 | 8.3% | 0.066 |
175 | GI hemorrhage without complications | 287 | 1.8% | 34 | 11.8% | 0.948 |
The symptoms the patients reported are categorized in Table 4 without distinction as to whether they are primary or secondary. Gastrointestinal symptoms were the most common category of symptoms, followed by general symptoms, cardiovascular symptoms, and pain. The most common symptoms reported were fatigue/weakness, nausea/vomiting, and edema.
Category | Specific Symptom | Number | % 0f Total |
---|---|---|---|
| |||
Gastrointestinal | 771 | 24.1% | |
Nausea/vomiting | 245 | 7.7% | |
Abdominal pain | 162 | 5.1% | |
Diarrhea | 146 | 4.6% | |
Eating problems | 107 | 3.3% | |
Constipation | 71 | 2.2% | |
General | 527 | 16.5% | |
Fatigue or weakness | 360 | 11.3% | |
Dizziness | 167 | 5.2% | |
Cardiovascular | 388 | 12.1% | |
Edema | 219 | 6.8% | |
Chest pain | 101 | 3.2% | |
Pain | 382 | 11.9% | |
Back and neck | 118 | 3.7% | |
Lower exttremity (including hip) | 115 | 3.6% | |
Generalized | 76 | 2.4% | |
Psychological | 209 | 6.5% | |
Sleeping problems | 125 | 3.9% | |
Change in mental status/psychiatric symptoms | 84 | 2.6% | |
Pulmonary | 382 | 11.9% | |
Dyspnea | 134 | 4.2% | |
Neurological | 199 | 6.2% | |
Headache | 118 | 3.7% | |
Infectious | 192 | 6.0% | |
Fever | 82 | 2.6% | |
Dermatological | 65 | 2.0% | |
Urological | 62 | 1.9% | |
ENT | 50 | 1.6% | |
Diabetic (problems with blood sugar) | 45 | 1.4% | |
Postoperative wound problems | 39 | 1.2% | |
Problems with intravenous sites | 17 | 0.5% | |
Medication Reaction | 14 | 0.4% | |
Bleeding (other than above locations) | 14 | 0.4% | |
Gynecological | 9 | 0.3% | |
Others | 89 | 2.8% |
The call center assessed whether the patient had difficulty making a follow‐up appointment and whether an appointment was scheduled within 2 weeks of discharge. Patients with new or worsening symptoms were only minimally more likely to have scheduled follow‐up (61.0% vs. 58.4% for patients not reporting new or worsening symptoms, P < .05). Symptomatic patients had a higher prevalence of medication issues, defined as not picking up their prescriptions or not understanding how to take their medication (22.2% vs. 6.8% for asymptomatic patients; P < .0001). Likewise, the prevalence of symptomatic patients having problems receiving scheduled home health care services was 5.8%, compared with a prevalence of 3.6% for asymptomatic patients (P < .0001).
DISCUSSION
Enhancing the quality of care provided by hospitalists means not only improving care during hospitalization but also assuring patient stability between discharge and outpatient follow‐up. As part of efforts to improve transition management, the call center at IPC attempted to contact all patients discharged home within several days of discharge. Of 15,767 patients surveyed between May 1, 2003, and October 31, 2003, 11.9% (N = 1876) had new or worsening symptoms since leaving the hospital only 2 or 3 days earlier. We had hypothesized that older patients might be more symptomatic than younger ones, but found no difference in the prevalence of new or worsening symptoms based on age. Women were more likely to be symptomatic than men.
We defined appropriate postdischarge follow‐up as having an appointment with an outpatient physician within 2 weeks. A previous study of psychiatric patients documented that keeping a follow‐up appointment significantly reduces the risk of rehospitalization.17 Similar data do not exist for medical patients. Our data demonstrated that symptomatic patients were only minimally more likely to have made a follow‐up appointment with their outpatient physician within the first 2 weeks than were those patients who were not symptomatic. As part of patient education at discharge, clinicians routinely counsel patients to call their outpatient physician should they experience new or worsening symptoms once at home. Inpatient physicians may assume this recommendation provides a safety net for the patients should they develop problems after discharge. However, our finding that almost 40% of patients with new or worsening symptoms within 2‐3 days of discharge had not made a follow‐up appointment with their physician suggests many patients fall through this safety net. Although there was a slight statistically significant difference between the groups, this difference was not clinically significant. One potential limitation of our data is that we did not examine whether there was a correlation between the day of the week that a patient was discharged and inability to make a follow‐up appointment.
As part of the survey script (see Appendix), we inquired whether patients were able to pick up their prescriptions and whether they understood how to take their medication. A high percentage of patients in our study reported having one of these medication issues in the first several days following hospital discharge, providing an opportunity for early intervention and prevention of medical error. Forster and others have demonstrated that adverse events and medical errors are common in the postdischarge period, affecting 23%‐49% of patients.79 Errors in the transition from inpatient to outpatient care increased the 3‐month rate of rehospitalization.9 New or worsening symptoms represented the most common adverse event.8 Noting that many of these postdischarge complications could be preventable if detected early, Forster suggested system changes such as earlier follow‐up with the outpatient physician or a postdischarge telephone call to check on the patient's status.7, 18 Future studies are planned to further analyze our data on medication issues and to determine if these problems are more prevalent for certain medications or diagnoses.
Comprehensive discharge planning remains an essential step in the discharge process. This may involve prescribing medications, arranging home health care services, and arranging outpatient follow‐up. The traditional hospital discharge process does not adequately ensure that patients understand their discharge plan and are able to comply with it. Calkins et al. compared physicians' perceptions of patients' understanding of medication side effects and activity restrictions with patients' actual understanding.6 They found that, compared with what was reported by patients, physicians overestimated the time spent discussing discharge plans and how well patients understood medication side effects and activity restrictions.
An important method for reducing patient problems is to contact patients by telephone after discharge in order to identify any health care issues. Previous research has confirmed that follow‐up telephone calls improve health outcomes and decrease resource utilization of patients, mainly those discharged from the emergency department.10, 11, 1923 A study of telephone follow‐up after ambulatory care visits did not find significant benefits of this procedure.24 In one of the few studies of telephone calls after hospitalization, pharmacists contacted patients 2 days after discharge and were able to detect and resolve medication‐related problems in 19% of patients and learned of new or worsening symptoms in 15%. Patient satisfaction was improved, and the intervention resulted in a lower rate of repeat visits to the emergency room within 30 days of discharge.12 Another study of telephone follow‐up following hospital discharge compared proactively calling all patients with providing a phone number that patients can call if they have questions. The study demonstrated that very few patients called the number provided, but of those patients called by the nursing service, more than 90% had questions about self‐care and recovery.25 These findings demonstrate the value of proactively contacting patients in the first several days after discharge, when problems can be detected and interventions initiated earlier.
One potential concern with this study was the low response rate. This was a retrospective analysis of an existing discharge management call‐center system, not a prospective study. We were not able to reach 52% of the patients discharged after 2 attempts by telephone. To have our call center make additional attempts to reach each patient by telephone would require a significant increase in the size of the call center, because at the time of the study, the staff was handling more than 370 patients discharged home a day. The telephone number of 16% of patients was missing or incorrect. We have since developed internal quality improvement mechanisms to decrease this percentage. After subtracting the patients we were unable to reach and those whose phone number was missing or incorrect, we were able to contact 32.4% of all the patients discharged home.
Several reasons explain the response rate found by many prospective research studies. In most studies of telephone follow‐up, patients must be able to consent to participate in order to be considered eligible inclusion. This raises the response rate because patients who do not consent to participate, have language barriers, or have no telephone are excluded from the study. In our study none of these types of patients were excluded. There are 2 additional differences between our study and many published studies that involve telephone surveys. Ours was not a prospective research study, and we contacted many more patients than did other studies. For example, a study by Forster et al. involved only 581 patients, and the research staff was diligent in its efforts to reach the patients,7 making up to 20 attempts for each patient. They reported a response rate of 69%. If they had included patients who were non‐English speakers or had no phone in their study, the response rate would have been 59%. Shesser et al. were able to reach 144 of 297 patients in their study of emergency room follow‐up, for a 48.4% response rate.25 The response rate in a study of telephone consultation with asthma patients was quite similar to ours. They enrolled 932 eligible patients, of whom they were able to reach 278, for a response rate of 30%.
It is possible that the rate of symptoms and the other variables we measured relative to this would have been different if we had been able to reach 100% of patients. There were some demographic differences between the patients we were able to reach and those we were not (Table 1). The nonresponders were slightly younger and slightly more likely to be female. Nonresponders were more likely to have Medicaid or commercial insurance or be self‐pay and were less likely to have Medicare. In addition, nonresponders had less severe illness. Although this scenario is highly unlikely, if none of the nonresponders had new or worsening symptoms, the rate of symptoms would only have been 3.86%. Conversely, it is possible but also very unlikely that a greater percentage of the nonresponders had new or worsening symptoms. Given the demographics of our study participants, we would expect a potentially slightly lower rate of signs and symptoms.
The present study had several other limitations. First, all patients surveyed were cared for by IPC‐employed physicians. It is possible that reported rates of symptoms and other postdischarge issues are not generalizable to other hospitalist practices. However, the present data were collected at more than 100 health care facilities in 10 health care markets, and the patients were cared for by more than 200 physicians. Therefore, it is unlikely these results would have been significantly influenced by a particular physician's or institution's practice patterns.
Second, because of the large number of facilities involved and that we could only track readmissions to facilities where our own hospitalists practice, we were not able to report 30‐ or 90‐day readmission rates or emergency room visit rates. In a prospective study, these would be important variables to track in order to assess the clinical relevance of the symptoms. We could track this data for some institutions, but for most of them, the quality of data was not sufficient to be meaningful or to make conclusions.
An additional limitation is that the call center did not differentiate between clinically minor and major symptoms. The inclusion of symptoms perhaps considered minor might have elevated the reported symptom frequency. However, the definitions of minor and major symptoms are very subjective, and a clinician's definitions might differ from those of a patient who is at home and uncomfortable. For example, nausea or loss of appetite related to new medications may be considered minor clinically but could be devastating to the patient experiencing them, leading the patient to stop taking the medication. Conversely, symptoms that may be considered nonsignificant by the patient may be interpreted as indicating clinically significant disease by a physician. Therefore, we would argue that, regardless of the severity of the symptom, follow‐up with a clinician is important.
Another limitation is based on our definition of an adequate follow‐up appointment as one scheduled within 2 weeks of discharge. It might be argued that if a patient's new symptoms were considered minor clinically, then a follow‐up interval greater than 2 weeks might be considered adequate. However, as already noted, a patient's criteria for considering a symptom minor and not requiring follow‐up may differ from a clinician's criteria. Also, the standardized discharge process requires that the hospitalist identify a physician for outpatient follow‐up and specify the period when the patient is to see the physician. Because of the inherent variability in having a many hospitalists practicing in many hospitals, not all patients had a scheduled appointment at discharge. We were not able to determine whether patients had an appointment date and time for follow‐up before discharge or had only received instructions to call the office for an appointment.
The Institute of Medicine, in its report Crossing the Quality Chasm, identified the coordination of care across services and sites of care as one of the health care system's redesign imperatives.2 Hospitalists are in a unique position to address transition care issues. Managing the transition from inpatient to outpatient care is vitally important, and hospitalists should play an essential role in designing a transition management system for discharged patients. Although individual efforts by hospitalists are essential to assuring postdischarge contact with patients, there is increasing agreement that system solutions are needed to improve the quality of care in the transition period following hospitalization. Improving a health care process involves more than working harder; it involves working differently.3 It is therefore imperative that hospitalist programs develop effective systems to manage the transition period until safe arrival by the patient in the outpatient physician's office.
In summary, 11.9% of patients contacted by a telephone call center within several days of discharge had new or worsening symptoms since discharge. There was no difference by age in the prevalence of symptoms. Patients who rated their health status as fair to poor were more likely to be symptomatic. Symptomatic patients were also more likely to have difficulty obtaining or understanding how to take their medications and receiving home health services. Patients who felt poorly were only minimally more likely to have made an appointment for follow‐up with their outpatient physician. It is hoped that by identifying patients who are doing poorly after discharge and intervening as necessary, we can improve the health outcome of our patients, as well as reduce the number of emergency room visits and readmission rates. Although actions by individual physicians are important, a system to manage the postdischarge transition period is essential for improving posthospitalization outcomes.
Acknowledgements
The authors thank Rahul M. Dodhia for his assistance in the statistical analysis of the data and Sunil Kripalani for his thoughtful review of the manuscript.
APPENDIX
- Kohn LT,Corrigan J,Donaldson M, editors. To Err Is Human: Building a Safer Health System.Washington, DC:National Academy Press;2000:xxi,287.
- Institute of Medicine (U.S.).Committee on Quality of Health Care in America. Crossing the Quality Chasm: a New Health System for the 21st Century.Washington, DC:National Academy Press;2001:xx,337.
- An approach to hospital quality improvement.Med Clin North Am.2002;86:825–845. , , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- Making health care safe. Supplement on hospital medicine and patient safety.The Hospitalist.2004:3–4. .
- Patient‐physician communication at hospital discharge and patients' understanding of the postdischarge treatment plan.Arch Intern Med.1997;157:1026–1030. , , , et al.
- The incidence and severity of adverse events affecting patients after discharge from the hospital.Ann Intern Med.2003;138:161–167. , , , , .
- Adverse events among medical patients after discharge from the hospital.CMAJ.2004;170:345–349. , , , et al.
- Medical errors related to discontinuity of care from an inpatient to an outpatient setting.J Gen Intern Med.2003;18:646–651. , , , .
- Telephone care as a substitute for routine clinic follow‐up.JAMA.1992;267:1788–1793. , , , , , .
- Effect of a standardized nurse case‐management telephone intervention on resource use in patients with chronic heart failure.Arch Intern Med.2002;162:705–712. , , , , , .
- The impact of follow‐up telephone calls to patients after hospitalization.Am J Med.2001;111(9B):26S–30S. , , , .
- Medical Outcomes Trust.How to Score the SF‐12 Short Form Health Survey.Boston:The Medical Outcomes Trust;1992.
- Examining emotional, physical, social, and spiritual health as determinants of self‐rated health status.Am J Health Promot.1998;12:275–282. , , .
- 3M Health Information Systems, 3M All Patient Refined DRG Software. Available at: http://3m.com/market/healthcare/his/us/products/apr_drg/brochure.html.
- A simple sequentially rejective Bonferroni test procedure.Scand J Stat.1979;6:65–70. .
- Effects of discharge planning and compliance with outpatient appointments on readmission rates.Psychiatr Serv.2000;51:885–889. , , .
- J. Can you prevent adverse drug events after hospital discharge?CMAJ.2006;174:921–922. .
- Follow‐up phone calls after an emergency department visit.Pediatrics.1994;93:513–514. , .
- Efficacy of a telephone follow‐up system in the emergency department.J Emerg Med.1988;6:249–254. , , , .
- A randomized trial to improve compliance in urinary tract infection patients in the emergency department.Ann Emerg Med.1990;19:16–20. , , .
- The effectiveness of an organized emergency department follow‐up system.Ann Emerg Med.1986;15:911–915. , , , , .
- The importance of postdischarge telephone follow‐up for hospitalists: a view from the trenches.Am J Med.2001;111(9B):43S–44S. .
- Telephone care as an adjunct to routine medical follow‐up. A negative randomized trial.Eff Clin Pract.2000;3:123–130. , , .
- Telephone follow‐up after discharge from the hospital: does it make a difference?Appl Nurs Res.1996;9:47–52. , , .
- Kohn LT,Corrigan J,Donaldson M, editors. To Err Is Human: Building a Safer Health System.Washington, DC:National Academy Press;2000:xxi,287.
- Institute of Medicine (U.S.).Committee on Quality of Health Care in America. Crossing the Quality Chasm: a New Health System for the 21st Century.Washington, DC:National Academy Press;2001:xx,337.
- An approach to hospital quality improvement.Med Clin North Am.2002;86:825–845. , , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- Making health care safe. Supplement on hospital medicine and patient safety.The Hospitalist.2004:3–4. .
- Patient‐physician communication at hospital discharge and patients' understanding of the postdischarge treatment plan.Arch Intern Med.1997;157:1026–1030. , , , et al.
- The incidence and severity of adverse events affecting patients after discharge from the hospital.Ann Intern Med.2003;138:161–167. , , , , .
- Adverse events among medical patients after discharge from the hospital.CMAJ.2004;170:345–349. , , , et al.
- Medical errors related to discontinuity of care from an inpatient to an outpatient setting.J Gen Intern Med.2003;18:646–651. , , , .
- Telephone care as a substitute for routine clinic follow‐up.JAMA.1992;267:1788–1793. , , , , , .
- Effect of a standardized nurse case‐management telephone intervention on resource use in patients with chronic heart failure.Arch Intern Med.2002;162:705–712. , , , , , .
- The impact of follow‐up telephone calls to patients after hospitalization.Am J Med.2001;111(9B):26S–30S. , , , .
- Medical Outcomes Trust.How to Score the SF‐12 Short Form Health Survey.Boston:The Medical Outcomes Trust;1992.
- Examining emotional, physical, social, and spiritual health as determinants of self‐rated health status.Am J Health Promot.1998;12:275–282. , , .
- 3M Health Information Systems, 3M All Patient Refined DRG Software. Available at: http://3m.com/market/healthcare/his/us/products/apr_drg/brochure.html.
- A simple sequentially rejective Bonferroni test procedure.Scand J Stat.1979;6:65–70. .
- Effects of discharge planning and compliance with outpatient appointments on readmission rates.Psychiatr Serv.2000;51:885–889. , , .
- J. Can you prevent adverse drug events after hospital discharge?CMAJ.2006;174:921–922. .
- Follow‐up phone calls after an emergency department visit.Pediatrics.1994;93:513–514. , .
- Efficacy of a telephone follow‐up system in the emergency department.J Emerg Med.1988;6:249–254. , , , .
- A randomized trial to improve compliance in urinary tract infection patients in the emergency department.Ann Emerg Med.1990;19:16–20. , , .
- The effectiveness of an organized emergency department follow‐up system.Ann Emerg Med.1986;15:911–915. , , , , .
- The importance of postdischarge telephone follow‐up for hospitalists: a view from the trenches.Am J Med.2001;111(9B):43S–44S. .
- Telephone care as an adjunct to routine medical follow‐up. A negative randomized trial.Eff Clin Pract.2000;3:123–130. , , .
- Telephone follow‐up after discharge from the hospital: does it make a difference?Appl Nurs Res.1996;9:47–52. , , .
Copyright © 2007 Society of Hospital Medicine
Penetrating Point
Soon after they form, most new medical fields begin agitating for a special certification, something that says, We're here, and we're different. As I've noted previously in the Journal of Hospital Medicine, the field of hospital medicine resisted this impulse in its early years, fearing that any special designation or certification would actually harm the field's growth and status.1 The concern was that managed‐care organizationsconvinced by the evidence that hospitalists improve efficiency and might improve quality2would react to any new hospitalist sheepskin by mandating that anyone providing hospital care to its covered patients have one. The backlash from primary care physicians locked out of the hospital by such a mandate would have been swift and ultimately damaging to hospitalists. In addition to these political considerations, the early field of hospital medicine lacked the academic credibility and scientific underpinning needed for specialty designation.3
Times have changed. There are now more than 15,000 hospitalists in the United States, and nearly half of American hospitals have hospitalists on their medical staffs. In many markets, including my own, hospitalists care for most internal medicine inpatients, as well as significant numbers of pediatric and surgical patients. The field has achieved academic legitimacy, with this journal, several textbooks, large and flourishing groups in every academic medical center, and several residency tracks and fellowship programs.4, 5 The Society of Hospital Medicine (SHM) has grown to more than 6000 members, become a widely respected and dynamic member of the community of professional societies, and published its core competencies.6
With this as a background, in 2004 SHM asked the American Board of Internal Medicine (ABIM) to consider a program of certification for hospitalists. As a past SHM president and now a member of the ABIM Board of Directors, I am privileged to have a bird's‐eye view of the process. In this article, I reflect on some of the key issues it raises.
THE NUTS AND BOLTS OF BOARD CERTIFICATION
Since the first board (ophthalmology) was formed in 1917, 24 specialty boards have emerged, all under the umbrella of the American Board of Medical Specialties (ABMS).7 Because no one type of physician can do it all, certifying boards have had to struggle not only with how to assess competency in existing disciplines, but with the dynamic and often controversial questions raised when new fields emerge. In the past few decades, certifying boards have grappled with specialties formed around new procedures (such as cardiac electrophysiology), discrete populations (geriatrics, palliative care), complex diseases (HIV medicine), and sites of care (intensive care medicine, emergency medicine). It is this latter category that now includes hospital medicine.
In the past, it was relatively simple for a physician to obtain board certification. Residency or fellowship training was believed to confer on its graduates the presumption of competence and professionalismthe program director's attestation served as the graduate's Good Housekeeping seal of approval. Passing the board exam was the final step, ensuring that newly minted graduates had the requisite knowledge and judgment to practice in their fields.
Remarkably, for the first half century of the specialty boards, all certifications lasted for a physician's professional lifetime. Beginning with the 1969 decision of the American Board of Family Practice to limit the validity of its certificates to 7 years, all ABMS member boards now time limit their certifications, usually to 7‐10 years.7 Of course, in an environment of rapidly changing medical knowledge and new procedures, periodiceven continuousdemonstration of competence is increasingly expected by the public.
For ABIM, the mechanism to promote lifelong learning and demonstrate ongoing competence in the face of a rapidly changing environment is known as maintenance of certification (MOC).8 Through MOC, board‐certified internists demonstrate their ongoing clinical expertise and judgment, their involvement in lifelong learning and quality improvement activities, and their professionalism. Because MOC involves no new training requirements and includes an assessment of a physician's actual practice, it provides a potential mechanism, heretofore untapped, of demonstrating a unique professional focus that emerges after the completion of formal training.
HOSPITALIST CERTIFICATION AND THE MOC PROCESS
As ABIM considered a separate certification pathway for hospital medicine, it faced a conundrum. The vast majority of hospitalists are general internists (most of the rest are generalists in family medicine or pediatrics) who entered hospital medicine at the completion of their internal medicine training or after a period of primary care practice. Job opportunities for hospitalists are plentiful, andexcept for additional training in quality improvement, systems leadership, care transitions, palliative care, and communication9there is little clinical rationale to prolong internal medicine training for hospitalists (some individuals may opt for fellowships to enhance their leadership skills or to launch a research career,5 but few would argue for mandatory additional clinical training in hospital medicine at this time).
So, in the absence of formal training, how could the ABIM (or other boards) recognize the focused practice of hospitalists? This question must be framed within a broader challenge: Is it possible and appropriate for certifying boards to recognize expertise and focus that is accrued not through formal training, but through actual practice experience and accompanying self‐directed learning?
In 2006, the ABIM took up this question, producing a report (New and Emerging Disciplines in Internal Medicine II [NEDIM II]) that delineated several criteria to guide whether a new field merited focused recognition through MOC (Table 1). Judging by these criteria, hospital medicine appears to be a suitable first candidate for recognition of focused practice through MOC.
|
PRELIMINARY THOUGHTS ON FOCUSED RECOGNITION IN HOSPITAL MEDICINE
The ABIM has endorsed the concept of recognition of focused practice in hospital medicine and charged a subcommittee (that I chair) with working out the details. It would be premature to describe the committee's deliberations in detail (particularly because the final plan needs to be approved by both the ABIM and the ABMS), but the following are some key issues being discussed.
First, demonstration of focused practice requires some minimum volume of hospitalized patients. In the absence of hard data defining a threshold number of cases for hospitalists, we are likely to endorse a number that has face validity and that reliably separates self‐identified hospitalists from nonhospitalist generalists. As with all volume requirements, we will struggle over how to handle academic physicians, physician‐administrators, and physician‐researchers who limit their overall clinical practice but who spend most of their clinical time in hospital medicine and the bulk of their nonclinical time trying to improve hospital care.
The requirements to demonstrate performance in practice and lifelong learning may be more straightforward. As with all such MOC requirements, the ABIM is increasingly looking to use real practice data, trying to harmonize its data requirements with those of other organizations such as insurers, Medicare, the Joint Commission, or for pay‐for‐performance initiatives. Despite the operational challenges, this effort is vital: for MOC (including focused recognition) to be highly valued by patients, purchasers, and diplomates, it will increasingly need to measure not only what physicians know, but also what they do.
Finally, there is the test. It is likely that a secure exam for MOC with Recognition of Focused Practice in Hospital Medicine will involve core content in internal medicine (information that every internist should know), augmented by substantial and challenging content in hospital medicine. Because it will be vital that a competent hospitalist understand key elements of outpatient practice, the exam will not be stripped of ambulatory content but will likely have fewer questions on topics that hospitalists are unlikely to confront (osteoporosis, cancer screening).
ONGOING ISSUES
As hospital medicine continues its explosive growth, it is important to develop ways to make board certification relevant to hospitalists. The ABIM believes that modifying the MOC process to recognize physicians who have focused their practice and achieved special expertise in hospital medicine is a good way to launch this effort. Ultimately, this process is likely to evolve, particularly if separate training pathways for hospital medicine emerge. For now, the development of Recognition of Focused Practice in Hospital Medicine will further legitimize the new field, provide ABIM with insights into how to recognize physicians who have advanced through practice‐based learning rather than through training, and help to guide other certifying boards (particularly family medicine and pediatrics) considering hospitalist certification. In the end, the process will need to be user‐friendly for and satisfying to diplomates, flexible enough to allow for career transitions (both toward and away from hospital medicine), and sufficiently rigorous to be credible to all stakeholders, particularly patients.
- Reflections: the hospitalist movement a decade later.J Hosp Med.2006;1:248–252. .
- The hospitalist movement 5 years later.JAMA2002;287:487–94. , .
- The hospitalist: a new medical specialty?Ann Intern Med.1999;130:373–375. .
- Implications of the hospitalist movement for academic departments of medicine: lessons from the UCSF experience.Am J Med.1999;106:127–133. , .
- Hospital medicine fellowships: works in progress.Am J Med.2006;119:72.e1–e7. , , , .
- Core competencies in hospital medicine: development and methodology.J Hosp Med.2006;1:48–56. , , , , .
- Recertification in the United States.BMJ.1999;319:1183–1185. .
- Professional standards in the USA: overview and new developments.Clin Med.2006;6:363–367. , .
- Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111:247–254. , , , .
Soon after they form, most new medical fields begin agitating for a special certification, something that says, We're here, and we're different. As I've noted previously in the Journal of Hospital Medicine, the field of hospital medicine resisted this impulse in its early years, fearing that any special designation or certification would actually harm the field's growth and status.1 The concern was that managed‐care organizationsconvinced by the evidence that hospitalists improve efficiency and might improve quality2would react to any new hospitalist sheepskin by mandating that anyone providing hospital care to its covered patients have one. The backlash from primary care physicians locked out of the hospital by such a mandate would have been swift and ultimately damaging to hospitalists. In addition to these political considerations, the early field of hospital medicine lacked the academic credibility and scientific underpinning needed for specialty designation.3
Times have changed. There are now more than 15,000 hospitalists in the United States, and nearly half of American hospitals have hospitalists on their medical staffs. In many markets, including my own, hospitalists care for most internal medicine inpatients, as well as significant numbers of pediatric and surgical patients. The field has achieved academic legitimacy, with this journal, several textbooks, large and flourishing groups in every academic medical center, and several residency tracks and fellowship programs.4, 5 The Society of Hospital Medicine (SHM) has grown to more than 6000 members, become a widely respected and dynamic member of the community of professional societies, and published its core competencies.6
With this as a background, in 2004 SHM asked the American Board of Internal Medicine (ABIM) to consider a program of certification for hospitalists. As a past SHM president and now a member of the ABIM Board of Directors, I am privileged to have a bird's‐eye view of the process. In this article, I reflect on some of the key issues it raises.
THE NUTS AND BOLTS OF BOARD CERTIFICATION
Since the first board (ophthalmology) was formed in 1917, 24 specialty boards have emerged, all under the umbrella of the American Board of Medical Specialties (ABMS).7 Because no one type of physician can do it all, certifying boards have had to struggle not only with how to assess competency in existing disciplines, but with the dynamic and often controversial questions raised when new fields emerge. In the past few decades, certifying boards have grappled with specialties formed around new procedures (such as cardiac electrophysiology), discrete populations (geriatrics, palliative care), complex diseases (HIV medicine), and sites of care (intensive care medicine, emergency medicine). It is this latter category that now includes hospital medicine.
In the past, it was relatively simple for a physician to obtain board certification. Residency or fellowship training was believed to confer on its graduates the presumption of competence and professionalismthe program director's attestation served as the graduate's Good Housekeeping seal of approval. Passing the board exam was the final step, ensuring that newly minted graduates had the requisite knowledge and judgment to practice in their fields.
Remarkably, for the first half century of the specialty boards, all certifications lasted for a physician's professional lifetime. Beginning with the 1969 decision of the American Board of Family Practice to limit the validity of its certificates to 7 years, all ABMS member boards now time limit their certifications, usually to 7‐10 years.7 Of course, in an environment of rapidly changing medical knowledge and new procedures, periodiceven continuousdemonstration of competence is increasingly expected by the public.
For ABIM, the mechanism to promote lifelong learning and demonstrate ongoing competence in the face of a rapidly changing environment is known as maintenance of certification (MOC).8 Through MOC, board‐certified internists demonstrate their ongoing clinical expertise and judgment, their involvement in lifelong learning and quality improvement activities, and their professionalism. Because MOC involves no new training requirements and includes an assessment of a physician's actual practice, it provides a potential mechanism, heretofore untapped, of demonstrating a unique professional focus that emerges after the completion of formal training.
HOSPITALIST CERTIFICATION AND THE MOC PROCESS
As ABIM considered a separate certification pathway for hospital medicine, it faced a conundrum. The vast majority of hospitalists are general internists (most of the rest are generalists in family medicine or pediatrics) who entered hospital medicine at the completion of their internal medicine training or after a period of primary care practice. Job opportunities for hospitalists are plentiful, andexcept for additional training in quality improvement, systems leadership, care transitions, palliative care, and communication9there is little clinical rationale to prolong internal medicine training for hospitalists (some individuals may opt for fellowships to enhance their leadership skills or to launch a research career,5 but few would argue for mandatory additional clinical training in hospital medicine at this time).
So, in the absence of formal training, how could the ABIM (or other boards) recognize the focused practice of hospitalists? This question must be framed within a broader challenge: Is it possible and appropriate for certifying boards to recognize expertise and focus that is accrued not through formal training, but through actual practice experience and accompanying self‐directed learning?
In 2006, the ABIM took up this question, producing a report (New and Emerging Disciplines in Internal Medicine II [NEDIM II]) that delineated several criteria to guide whether a new field merited focused recognition through MOC (Table 1). Judging by these criteria, hospital medicine appears to be a suitable first candidate for recognition of focused practice through MOC.
|
PRELIMINARY THOUGHTS ON FOCUSED RECOGNITION IN HOSPITAL MEDICINE
The ABIM has endorsed the concept of recognition of focused practice in hospital medicine and charged a subcommittee (that I chair) with working out the details. It would be premature to describe the committee's deliberations in detail (particularly because the final plan needs to be approved by both the ABIM and the ABMS), but the following are some key issues being discussed.
First, demonstration of focused practice requires some minimum volume of hospitalized patients. In the absence of hard data defining a threshold number of cases for hospitalists, we are likely to endorse a number that has face validity and that reliably separates self‐identified hospitalists from nonhospitalist generalists. As with all volume requirements, we will struggle over how to handle academic physicians, physician‐administrators, and physician‐researchers who limit their overall clinical practice but who spend most of their clinical time in hospital medicine and the bulk of their nonclinical time trying to improve hospital care.
The requirements to demonstrate performance in practice and lifelong learning may be more straightforward. As with all such MOC requirements, the ABIM is increasingly looking to use real practice data, trying to harmonize its data requirements with those of other organizations such as insurers, Medicare, the Joint Commission, or for pay‐for‐performance initiatives. Despite the operational challenges, this effort is vital: for MOC (including focused recognition) to be highly valued by patients, purchasers, and diplomates, it will increasingly need to measure not only what physicians know, but also what they do.
Finally, there is the test. It is likely that a secure exam for MOC with Recognition of Focused Practice in Hospital Medicine will involve core content in internal medicine (information that every internist should know), augmented by substantial and challenging content in hospital medicine. Because it will be vital that a competent hospitalist understand key elements of outpatient practice, the exam will not be stripped of ambulatory content but will likely have fewer questions on topics that hospitalists are unlikely to confront (osteoporosis, cancer screening).
ONGOING ISSUES
As hospital medicine continues its explosive growth, it is important to develop ways to make board certification relevant to hospitalists. The ABIM believes that modifying the MOC process to recognize physicians who have focused their practice and achieved special expertise in hospital medicine is a good way to launch this effort. Ultimately, this process is likely to evolve, particularly if separate training pathways for hospital medicine emerge. For now, the development of Recognition of Focused Practice in Hospital Medicine will further legitimize the new field, provide ABIM with insights into how to recognize physicians who have advanced through practice‐based learning rather than through training, and help to guide other certifying boards (particularly family medicine and pediatrics) considering hospitalist certification. In the end, the process will need to be user‐friendly for and satisfying to diplomates, flexible enough to allow for career transitions (both toward and away from hospital medicine), and sufficiently rigorous to be credible to all stakeholders, particularly patients.
Soon after they form, most new medical fields begin agitating for a special certification, something that says, We're here, and we're different. As I've noted previously in the Journal of Hospital Medicine, the field of hospital medicine resisted this impulse in its early years, fearing that any special designation or certification would actually harm the field's growth and status.1 The concern was that managed‐care organizationsconvinced by the evidence that hospitalists improve efficiency and might improve quality2would react to any new hospitalist sheepskin by mandating that anyone providing hospital care to its covered patients have one. The backlash from primary care physicians locked out of the hospital by such a mandate would have been swift and ultimately damaging to hospitalists. In addition to these political considerations, the early field of hospital medicine lacked the academic credibility and scientific underpinning needed for specialty designation.3
Times have changed. There are now more than 15,000 hospitalists in the United States, and nearly half of American hospitals have hospitalists on their medical staffs. In many markets, including my own, hospitalists care for most internal medicine inpatients, as well as significant numbers of pediatric and surgical patients. The field has achieved academic legitimacy, with this journal, several textbooks, large and flourishing groups in every academic medical center, and several residency tracks and fellowship programs.4, 5 The Society of Hospital Medicine (SHM) has grown to more than 6000 members, become a widely respected and dynamic member of the community of professional societies, and published its core competencies.6
With this as a background, in 2004 SHM asked the American Board of Internal Medicine (ABIM) to consider a program of certification for hospitalists. As a past SHM president and now a member of the ABIM Board of Directors, I am privileged to have a bird's‐eye view of the process. In this article, I reflect on some of the key issues it raises.
THE NUTS AND BOLTS OF BOARD CERTIFICATION
Since the first board (ophthalmology) was formed in 1917, 24 specialty boards have emerged, all under the umbrella of the American Board of Medical Specialties (ABMS).7 Because no one type of physician can do it all, certifying boards have had to struggle not only with how to assess competency in existing disciplines, but with the dynamic and often controversial questions raised when new fields emerge. In the past few decades, certifying boards have grappled with specialties formed around new procedures (such as cardiac electrophysiology), discrete populations (geriatrics, palliative care), complex diseases (HIV medicine), and sites of care (intensive care medicine, emergency medicine). It is this latter category that now includes hospital medicine.
In the past, it was relatively simple for a physician to obtain board certification. Residency or fellowship training was believed to confer on its graduates the presumption of competence and professionalismthe program director's attestation served as the graduate's Good Housekeeping seal of approval. Passing the board exam was the final step, ensuring that newly minted graduates had the requisite knowledge and judgment to practice in their fields.
Remarkably, for the first half century of the specialty boards, all certifications lasted for a physician's professional lifetime. Beginning with the 1969 decision of the American Board of Family Practice to limit the validity of its certificates to 7 years, all ABMS member boards now time limit their certifications, usually to 7‐10 years.7 Of course, in an environment of rapidly changing medical knowledge and new procedures, periodiceven continuousdemonstration of competence is increasingly expected by the public.
For ABIM, the mechanism to promote lifelong learning and demonstrate ongoing competence in the face of a rapidly changing environment is known as maintenance of certification (MOC).8 Through MOC, board‐certified internists demonstrate their ongoing clinical expertise and judgment, their involvement in lifelong learning and quality improvement activities, and their professionalism. Because MOC involves no new training requirements and includes an assessment of a physician's actual practice, it provides a potential mechanism, heretofore untapped, of demonstrating a unique professional focus that emerges after the completion of formal training.
HOSPITALIST CERTIFICATION AND THE MOC PROCESS
As ABIM considered a separate certification pathway for hospital medicine, it faced a conundrum. The vast majority of hospitalists are general internists (most of the rest are generalists in family medicine or pediatrics) who entered hospital medicine at the completion of their internal medicine training or after a period of primary care practice. Job opportunities for hospitalists are plentiful, andexcept for additional training in quality improvement, systems leadership, care transitions, palliative care, and communication9there is little clinical rationale to prolong internal medicine training for hospitalists (some individuals may opt for fellowships to enhance their leadership skills or to launch a research career,5 but few would argue for mandatory additional clinical training in hospital medicine at this time).
So, in the absence of formal training, how could the ABIM (or other boards) recognize the focused practice of hospitalists? This question must be framed within a broader challenge: Is it possible and appropriate for certifying boards to recognize expertise and focus that is accrued not through formal training, but through actual practice experience and accompanying self‐directed learning?
In 2006, the ABIM took up this question, producing a report (New and Emerging Disciplines in Internal Medicine II [NEDIM II]) that delineated several criteria to guide whether a new field merited focused recognition through MOC (Table 1). Judging by these criteria, hospital medicine appears to be a suitable first candidate for recognition of focused practice through MOC.
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PRELIMINARY THOUGHTS ON FOCUSED RECOGNITION IN HOSPITAL MEDICINE
The ABIM has endorsed the concept of recognition of focused practice in hospital medicine and charged a subcommittee (that I chair) with working out the details. It would be premature to describe the committee's deliberations in detail (particularly because the final plan needs to be approved by both the ABIM and the ABMS), but the following are some key issues being discussed.
First, demonstration of focused practice requires some minimum volume of hospitalized patients. In the absence of hard data defining a threshold number of cases for hospitalists, we are likely to endorse a number that has face validity and that reliably separates self‐identified hospitalists from nonhospitalist generalists. As with all volume requirements, we will struggle over how to handle academic physicians, physician‐administrators, and physician‐researchers who limit their overall clinical practice but who spend most of their clinical time in hospital medicine and the bulk of their nonclinical time trying to improve hospital care.
The requirements to demonstrate performance in practice and lifelong learning may be more straightforward. As with all such MOC requirements, the ABIM is increasingly looking to use real practice data, trying to harmonize its data requirements with those of other organizations such as insurers, Medicare, the Joint Commission, or for pay‐for‐performance initiatives. Despite the operational challenges, this effort is vital: for MOC (including focused recognition) to be highly valued by patients, purchasers, and diplomates, it will increasingly need to measure not only what physicians know, but also what they do.
Finally, there is the test. It is likely that a secure exam for MOC with Recognition of Focused Practice in Hospital Medicine will involve core content in internal medicine (information that every internist should know), augmented by substantial and challenging content in hospital medicine. Because it will be vital that a competent hospitalist understand key elements of outpatient practice, the exam will not be stripped of ambulatory content but will likely have fewer questions on topics that hospitalists are unlikely to confront (osteoporosis, cancer screening).
ONGOING ISSUES
As hospital medicine continues its explosive growth, it is important to develop ways to make board certification relevant to hospitalists. The ABIM believes that modifying the MOC process to recognize physicians who have focused their practice and achieved special expertise in hospital medicine is a good way to launch this effort. Ultimately, this process is likely to evolve, particularly if separate training pathways for hospital medicine emerge. For now, the development of Recognition of Focused Practice in Hospital Medicine will further legitimize the new field, provide ABIM with insights into how to recognize physicians who have advanced through practice‐based learning rather than through training, and help to guide other certifying boards (particularly family medicine and pediatrics) considering hospitalist certification. In the end, the process will need to be user‐friendly for and satisfying to diplomates, flexible enough to allow for career transitions (both toward and away from hospital medicine), and sufficiently rigorous to be credible to all stakeholders, particularly patients.
- Reflections: the hospitalist movement a decade later.J Hosp Med.2006;1:248–252. .
- The hospitalist movement 5 years later.JAMA2002;287:487–94. , .
- The hospitalist: a new medical specialty?Ann Intern Med.1999;130:373–375. .
- Implications of the hospitalist movement for academic departments of medicine: lessons from the UCSF experience.Am J Med.1999;106:127–133. , .
- Hospital medicine fellowships: works in progress.Am J Med.2006;119:72.e1–e7. , , , .
- Core competencies in hospital medicine: development and methodology.J Hosp Med.2006;1:48–56. , , , , .
- Recertification in the United States.BMJ.1999;319:1183–1185. .
- Professional standards in the USA: overview and new developments.Clin Med.2006;6:363–367. , .
- Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111:247–254. , , , .
- Reflections: the hospitalist movement a decade later.J Hosp Med.2006;1:248–252. .
- The hospitalist movement 5 years later.JAMA2002;287:487–94. , .
- The hospitalist: a new medical specialty?Ann Intern Med.1999;130:373–375. .
- Implications of the hospitalist movement for academic departments of medicine: lessons from the UCSF experience.Am J Med.1999;106:127–133. , .
- Hospital medicine fellowships: works in progress.Am J Med.2006;119:72.e1–e7. , , , .
- Core competencies in hospital medicine: development and methodology.J Hosp Med.2006;1:48–56. , , , , .
- Recertification in the United States.BMJ.1999;319:1183–1185. .
- Professional standards in the USA: overview and new developments.Clin Med.2006;6:363–367. , .
- Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111:247–254. , , , .