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Prolonged IV Instead of Oral Antibiotics
The Things We Do for No Reason (TWDFNR) series reviews practices which have become common parts of hospital care but which may provide little value to our patients. Practices reviewed in the TWDFNR series do not represent black and white conclusions or clinical practice standards, but are meant as a starting place for research and active discussions among hospitalists and patients. We invite you to be part of that discussion. https://www.choosingwisely.org/
A previously healthy 6‐year‐old boy presented to the emergency room with 3 days of right lower leg pain and fevers up to 102F. The leg pain had progressed until he refused to walk. The patient and family did not recall any trauma to the leg. In the emergency department, he had a blood culture drawn. Because he had elevated inflammatory markers and a negative x‐ray of his right leg, a magnetic resonance imaging scan of the right leg was obtained that revealed right tibial osteomyelitis. He was taken to the operating room for debridement. After obtaining blood and bone cultures, he was started on intravenous (IV) vancomycin. His blood and surgical cultures grew methicillin‐resistant Staphylococcus aureus, sensitive to clindamycin. Subsequent blood cultures were negative, and his inflammatory markers trended down shortly after starting therapy. As he clinically improved, a peripherally inserted central catheter (PICC) was placed, and he was discharged home to complete a 6‐week course of IV vancomycin.
BACKGROUND
Osteoarticular infections (osteomyelitis and septic arthritis) are common problems in the pediatric population, affecting 1/2000 children annually and accounting for approximately 1% of all pediatric hospitalizations.[1, 2] Osteomyelitis can occur in children of all ages and usually requires hospitalization for diagnosis and initial management. The most common mechanism of infection in children is hematogenous inoculation of the bone during an episode of bacteremia (acute hematogenous osteomyelitis), particularly in young children, due to the highly vascular nature of the developing bone. Long bones, such as the femur, tibia, and humerus, are most commonly involved. Treatment of acute osteomyelitis requires prolonged administration of antimicrobial agents. Inadequately treated osteomyelitis can result in progression to chronic infection and loss of function of the affected bone.[3]
WHY YOU MIGHT THINK PARENTERAL ANTIBIOTICS AT DISCHARGE IS SUPERIOR TO ENTERAL THERAPY
In the United States, a large proportion of children with hematogenous osteomyelitis are discharged from the hospital with long‐term parenteral intravenous antibiotics through a PICC line.[3] The medical community historically favored parenteral therapy for young children with serious bacterial infections given concerns regarding impaired enteral absorption. As a result, children with osteomyelitis were initially stabilized in the hospital and discharged with parenteral therapy through a PICC line to continue or complete care, even when the organism was susceptible to a viable oral alternative such as clindamycin or cephalexin. Recommendations regarding the safety and timing to transition to oral antibiotics have been lacking. There is also extreme variation in practice in route of administration (oral vs prolonged IV therapy) in patients being discharged from the hospital with osteomyelitis.[3, 4] The most recent Infectious Diseases Society of America (IDSA) guidelines do not clearly state when transition to oral antibiotics may be safe. Specifically, they state that if patients are stable and without ongoing bacteremia, they can transition to oral therapy to complete a 4‐ to 6‐week course.[5]
WHY LONG‐TERM PARENTERAL ANTIBIOTICS MAY NOT BE SUPERIOR
The use of PICC lines has increased substantially in recent years. This has led to an increasing awareness of complications associated with PICC lines. As a result, guidelines for the appropriate use of PICC lines have been established in adults by collaborators at the University of Michigan.[6] Mounting evidence has called into question whether longer parenteral therapy is truly a more conservative or safer approach for the treatment of osteomyelitis.[3, 4, 7, 8, 9] Providing antibiotics via a PICC line in both the inpatient and outpatient settings may not be as benign as once accepted and may not improve outcomes in osteomyelitis as expected.
Costs and Potential Harms Associated With PICC Lines
PICC lines are known to have complications in the hospital including infection and thrombotic events,[10] but these events are not isolated to the hospital setting. Multiple studies have shown outpatient PICC line complication rates ranging from 29% to 41% depending on the type of catheter, the population, and the indication for use.[8, 10, 11, 12, 13] In a recently published study by Keren et al. looking specifically at children with osteomyelitis, emergency department visits and readmissions for PICC line complications occurred in 15% of patients discharged with a PICC line.[4] Given the potential complications and complexity that are inherent in outpatient parenteral therapy, the ISDA has even published guidelines regarding its use.[9] In addition, the cost of IV antibiotics, including administration costs, need for sedation in some children for line placement, and cost of the antibiotic itself, is significantly higher compared to oral therapy. In studies looking at early conversion to oral antibiotics versus prolonged intravenous antibiotics for complicated skin and soft tissue infections, as well as perforated appendicitis, oral antibiotics were more cost effective with an average savings of 30% to 50% and >$4000 respectively.[14, 15]
Patient Outcomes Are Similar When Comparing Parenteral and Enteral Therapy
In addition to increased costs and medication‐related complications, treatment of osteomyelitis with parenteral antibiotics through a PICC line does not improve clinical outcomes. As early as 1997, evidence emerged that an early transition to enteral therapy for osteomyelitis in children may be safe.[16] In 2010, the same group published a larger randomized study with the intent of determining overall treatment duration for osteomyelitis. This study involved 131 culture‐positive cases of osteomyelitis randomized to either a short‐term (20 days) or long‐term (30 days) oral antibiotics following 2 to 4 days of parenteral therapy. In this study, outcomes were favorable and similar despite such a short course of parenteral antibiotics and regardless of the overall treatment duration.[17] Although the aim of this study was not to compare oral and parenteral antibiotics, all patients in this large cohort were treated successfully with early transition to oral therapy.
In 2009, Zaoutis et al. published a large, multicenter, retrospective study of 1969 children with culture‐positive osteomyelitis treated with either prolonged IV therapy (defined as a central line placed before discharge) or oral therapy (no central line placed). They found a 4% incidence of treatment failure in the oral therapy group compared to a 5% incidence in the prolonged IV therapy group. They concluded that early transition to oral therapy was not associated with an increased risk of treatment failure.[3]
More recently, Keren et al. published a comparative effectiveness study using propensity scorebased matching to adjust for confounding variables. This retrospective study included 2060 children without comorbid conditions, ages 2 months to 18 years, with both culture‐positive and culture‐negative acute hematogenous osteomyelitis. Propensity‐based matching used logistic regression to compare patient‐level characteristics including age, race, insurance, length of stay, location of infection, surgical procedures, and isolation of causative pathogens. The rates of treatment failure were nearly identical in the oral therapy (5.0%) and PICC line (6.0%) groups. Similarly, in across‐hospital (risk difference, 0.3% [95% confidence interval {CI}: 0.1% to 2.5%]) and within‐hospital (risk difference, 0.6% [95% CI: 0.2% to 3.0%]) matched analyses, children in the oral therapy group did not have more treatment failures than those in the PICC line group. In the same comparisons, both adverse drug reactions and all treatment‐related events were significantly more likely to occur in children treated with long‐term parenteral antibiotics.[4]
Other studies have looked at the treatment of culture‐negative osteoarticular infections in children and have similarly found favorable outcomes in transitioning to oral therapy after a short course of parenteral treatment.[18]
In short, enteral therapy has similar treatment outcomes for culture‐positive and culture‐negative osteomyelitis without the complications associated with parenteral treatment via a PICC line.
WHEN TO CONSIDER PROLONGED PARENTERAL ANTIBIOTICS
The studies indicating the safe transition to oral antibiotics discussed above all excluded children with certain comorbid conditions. Although this varied from study to study, exclusions were as general in some as not previously healthy, and others were as specific as hematologic malignancies, immunocompromised states, sickle cell disease, malabsorption, and penetrating injuries. Also, although we know blood cultures obtained in children with osteomyelitis are positive in only approximately half of the patients,[19] the studies cited do not contain information for their study populations regarding the duration of bacteremia or endovascular complications, such as septic thrombophlebitis, which are well described in the literature.[20, 21] There are limited data on optimal treatment of children with prolonged bacteremia and endovascular complications. Because studies generally involved previously healthy children and do not specifically address these potential complications, the safety of early oral transition in complicated cases is not clear. The current IDSA and Red Book Committee on Infectious Diseases recommend intravenous therapy for bacteremia and endovascular infections with methicillin‐resistant S aureus.[5, 22] Clinical judgement should be used when treating children with comorbid illnesses who experience persistent bacteremia >48 hours, or who have endovascular complications.
WHAT YOU SHOULD DO INSTEAD
For children with acute hematogenous osteomyelitis who are either culture negative and improve on empiric therapy, or who have culture results (blood or tissue) that are susceptible to a reasonable oral antibiotic agent and who have clinical improvement on initial IV antibiotic therapy, a growing body of evidence indicates that the benefit of early transition to oral antibiotics outweighs the risks of continuing with parenteral therapy. Discharging children on oral antibiotics does not increase their risk of treatment failure but seems to decrease the risk of therapy‐associated complications, including increased healthcare utilization with return visits to the emergency department or the hospital. The possible exceptions to early transition to enteral antibiotics are prolonged bacteremia or endovascular infection, though there are insufficient data in the literature indicating benefits or risks of one administration route over the other.
RECOMMENDATIONS
- Previously healthy children with acute hematogenous osteomyelitis, without endovascular complications, should be transitioned to enteral antibiotics when they are showing signs of clinical improvement, as defined by: resolution of fever, improving physical exam, ability to take oral medications, and decreasing C‐reactive protein.
- The choice of oral antibiotics should be based on the organism's antibiotic susceptibility. If cultures are negative and the child has improved on empiric IV therapy, transition to an oral regimen with similar spectrum is acceptable.
- Patients with acute osteomyelitis should have close follow‐up after discharge from the hospital, within 1 to 2 weeks, to ensure continued improvement on therapy.
CONCLUSION
Early transition to oral antibiotics should be used in children with acute, uncomplicated osteomyelitis. A growing body of evidence shows that early transition to oral antibiotics does not increase the risk of treatment failure and can obviate the need for an outpatient PICC line. Oral antibiotics do not carry the risk of potential complications and complexity that are inherent in outpatient parenteral therapy. The transition to oral therapy should occur prior to discharge from the hospital after clinical improvement. Close follow‐up is essential to ensure successful treatment in children with acute osteomyelitis.
Disclosure: Nothing to report.
Do you think this is a low‐value practice? Is this truly a Thing We Do for No Reason? Share what you do in your practice and join in the conversation online by retweeting it on Twitter (#TWDFNR) and liking it on Facebook. We invite you to propose ideas for other Things We Do for No Reason topics by emailing [email protected].
- Osteomyelitis. In: Feigin RD, Cherry JD, Kaplan, SL, Demmler‐Harrison, GJ, eds. Feigin and Cherry's Textbook of Pediatric Infectious Diseases. Philadelphia, PA: Saunders Elsevier; 2009. .
- Osteomyelitis in children. Curr Opin Pediatr. 2002;14:112–115. .
- Prolonged intravenous therapy versus early transition to oral antimicrobial therapy for acute osteomyelitis in children. Pediatrics. 2009;123:636–642. , , , , , .
- Pediatric Research in Inpatient Settings Network. Comparative effectiveness of intravenous vs oral antibiotics for postdischarge treatment of acute osteomyelitis in children. JAMA Pediatr. 2015;169(2):120–128. , , , et al.;
- Clinical practice guidelines by the Infectious Diseases Society of America for the treatment of methicillin‐resistant staphylococcus aureus infections in adults and children: executive summary. Clin Infect Dis. 2011;52(3):285–292. , , , et al.
- Michigan Appropriateness Guide for Intravenous Catheters (MAGIC) Panel. The Michigan appropriateness guide for intravenous catheters (MAGIC): results from a multispecialty panel using the RAND/UCLA appropriateness method. Ann Intern Med. 2015;163(6 suppl):S1–S40. , , , et al.;
- Intravenous antibiotic durations for common bacterial infections in children: when is enough enough? J Hosp Med. 2014;9(9):604–609. , .
- Complications of central venous catheters used for the treatment of acute hematogenous osteomyelitis. Pediatrics. 2006;117:1210–1215. , , , , , .
- IDSA. Practice guidelines for outpatient parenteral antimicrobial therapy. Clin Infect Dis. 2004;38(12):1651–1672. , , , et al;
- Frequency of Peripherally Inserted Central Catheter Complications in Children. Pediatr Infect Dis J. 2012;31(5):519–521. , , , .
- Risk factors for peripherally inserted central venous catheter complications in children. JAMA Pediatr. 2013;167(5):429–435. , , , , .
- Survival times and complications of catheters used for outpatient parenteral antibiotic therapy in children. Clin Pediatr (Phila). 2007;46:247–251. , , , , .
- Experience using peripherally inserted central venous catheters for outpatient parenteral antibiotic therapy in children at a community hospital. Pediatr Infect Dis J. 2008;27:1069–1072. , , .
- Economic burden of inpatient and outpatient antibiotic treatment for methicillin‐resistant Staphylococcus aureus complicated skin and soft‐tissue infections: a comparison of linezolid, vancomycin, and daptomycin. Clinicoecon Outcomes Res. 2013;5:447–457. , , , , , .
- Postoperative antibiotic therapy for children with perforated appendicitis: long course of intravenous antibiotics versus early conversion to an oral regimen. Am J Surg. 2008;195(2):141–143. , , , et al.
- Simplified treatment of acute staphylococcal osteomyelitis of childhood. The Finnish Study Group. Pediatrics. 1997;99(6):846–850. , , .
- Osteomyelitis‐Septic Arthritis Study Group. Short‐ versus long‐term antimicrobial treatment for acute hematogenous osteomyelitis of childhood: prospective, randomized trial on 131 culture‐positive cases. Pediatr Infect Dis J. 2010;29(12):1123–1128. , , , ;
- Significance of negative cultures in the treatment of acute hematogenous bone and joint infections in children. J Ped Infect Dis. 2013;2(2):119–125. , , , .
- Septic arthritis and osteomyelitis in children. Clin Rheum Dis. 1986;12:423–435. , .
- Venous thrombosis and thromboembolism in children with osteomyelitis. J Pediatr. 2006;149(4):537–541. , , , .
- Venous thrombosis associated with staphylococcal osteomyelitis in children. Pediatrics. 2006;117(5):1673–1679. , , , et al.
- Red Book: 2009 Report of the Committee on Infectious Diseases. 28th ed. Elk Grove Village, IL: American Academy of Pediatrics; 2012. , , , .
The Things We Do for No Reason (TWDFNR) series reviews practices which have become common parts of hospital care but which may provide little value to our patients. Practices reviewed in the TWDFNR series do not represent black and white conclusions or clinical practice standards, but are meant as a starting place for research and active discussions among hospitalists and patients. We invite you to be part of that discussion. https://www.choosingwisely.org/
A previously healthy 6‐year‐old boy presented to the emergency room with 3 days of right lower leg pain and fevers up to 102F. The leg pain had progressed until he refused to walk. The patient and family did not recall any trauma to the leg. In the emergency department, he had a blood culture drawn. Because he had elevated inflammatory markers and a negative x‐ray of his right leg, a magnetic resonance imaging scan of the right leg was obtained that revealed right tibial osteomyelitis. He was taken to the operating room for debridement. After obtaining blood and bone cultures, he was started on intravenous (IV) vancomycin. His blood and surgical cultures grew methicillin‐resistant Staphylococcus aureus, sensitive to clindamycin. Subsequent blood cultures were negative, and his inflammatory markers trended down shortly after starting therapy. As he clinically improved, a peripherally inserted central catheter (PICC) was placed, and he was discharged home to complete a 6‐week course of IV vancomycin.
BACKGROUND
Osteoarticular infections (osteomyelitis and septic arthritis) are common problems in the pediatric population, affecting 1/2000 children annually and accounting for approximately 1% of all pediatric hospitalizations.[1, 2] Osteomyelitis can occur in children of all ages and usually requires hospitalization for diagnosis and initial management. The most common mechanism of infection in children is hematogenous inoculation of the bone during an episode of bacteremia (acute hematogenous osteomyelitis), particularly in young children, due to the highly vascular nature of the developing bone. Long bones, such as the femur, tibia, and humerus, are most commonly involved. Treatment of acute osteomyelitis requires prolonged administration of antimicrobial agents. Inadequately treated osteomyelitis can result in progression to chronic infection and loss of function of the affected bone.[3]
WHY YOU MIGHT THINK PARENTERAL ANTIBIOTICS AT DISCHARGE IS SUPERIOR TO ENTERAL THERAPY
In the United States, a large proportion of children with hematogenous osteomyelitis are discharged from the hospital with long‐term parenteral intravenous antibiotics through a PICC line.[3] The medical community historically favored parenteral therapy for young children with serious bacterial infections given concerns regarding impaired enteral absorption. As a result, children with osteomyelitis were initially stabilized in the hospital and discharged with parenteral therapy through a PICC line to continue or complete care, even when the organism was susceptible to a viable oral alternative such as clindamycin or cephalexin. Recommendations regarding the safety and timing to transition to oral antibiotics have been lacking. There is also extreme variation in practice in route of administration (oral vs prolonged IV therapy) in patients being discharged from the hospital with osteomyelitis.[3, 4] The most recent Infectious Diseases Society of America (IDSA) guidelines do not clearly state when transition to oral antibiotics may be safe. Specifically, they state that if patients are stable and without ongoing bacteremia, they can transition to oral therapy to complete a 4‐ to 6‐week course.[5]
WHY LONG‐TERM PARENTERAL ANTIBIOTICS MAY NOT BE SUPERIOR
The use of PICC lines has increased substantially in recent years. This has led to an increasing awareness of complications associated with PICC lines. As a result, guidelines for the appropriate use of PICC lines have been established in adults by collaborators at the University of Michigan.[6] Mounting evidence has called into question whether longer parenteral therapy is truly a more conservative or safer approach for the treatment of osteomyelitis.[3, 4, 7, 8, 9] Providing antibiotics via a PICC line in both the inpatient and outpatient settings may not be as benign as once accepted and may not improve outcomes in osteomyelitis as expected.
Costs and Potential Harms Associated With PICC Lines
PICC lines are known to have complications in the hospital including infection and thrombotic events,[10] but these events are not isolated to the hospital setting. Multiple studies have shown outpatient PICC line complication rates ranging from 29% to 41% depending on the type of catheter, the population, and the indication for use.[8, 10, 11, 12, 13] In a recently published study by Keren et al. looking specifically at children with osteomyelitis, emergency department visits and readmissions for PICC line complications occurred in 15% of patients discharged with a PICC line.[4] Given the potential complications and complexity that are inherent in outpatient parenteral therapy, the ISDA has even published guidelines regarding its use.[9] In addition, the cost of IV antibiotics, including administration costs, need for sedation in some children for line placement, and cost of the antibiotic itself, is significantly higher compared to oral therapy. In studies looking at early conversion to oral antibiotics versus prolonged intravenous antibiotics for complicated skin and soft tissue infections, as well as perforated appendicitis, oral antibiotics were more cost effective with an average savings of 30% to 50% and >$4000 respectively.[14, 15]
Patient Outcomes Are Similar When Comparing Parenteral and Enteral Therapy
In addition to increased costs and medication‐related complications, treatment of osteomyelitis with parenteral antibiotics through a PICC line does not improve clinical outcomes. As early as 1997, evidence emerged that an early transition to enteral therapy for osteomyelitis in children may be safe.[16] In 2010, the same group published a larger randomized study with the intent of determining overall treatment duration for osteomyelitis. This study involved 131 culture‐positive cases of osteomyelitis randomized to either a short‐term (20 days) or long‐term (30 days) oral antibiotics following 2 to 4 days of parenteral therapy. In this study, outcomes were favorable and similar despite such a short course of parenteral antibiotics and regardless of the overall treatment duration.[17] Although the aim of this study was not to compare oral and parenteral antibiotics, all patients in this large cohort were treated successfully with early transition to oral therapy.
In 2009, Zaoutis et al. published a large, multicenter, retrospective study of 1969 children with culture‐positive osteomyelitis treated with either prolonged IV therapy (defined as a central line placed before discharge) or oral therapy (no central line placed). They found a 4% incidence of treatment failure in the oral therapy group compared to a 5% incidence in the prolonged IV therapy group. They concluded that early transition to oral therapy was not associated with an increased risk of treatment failure.[3]
More recently, Keren et al. published a comparative effectiveness study using propensity scorebased matching to adjust for confounding variables. This retrospective study included 2060 children without comorbid conditions, ages 2 months to 18 years, with both culture‐positive and culture‐negative acute hematogenous osteomyelitis. Propensity‐based matching used logistic regression to compare patient‐level characteristics including age, race, insurance, length of stay, location of infection, surgical procedures, and isolation of causative pathogens. The rates of treatment failure were nearly identical in the oral therapy (5.0%) and PICC line (6.0%) groups. Similarly, in across‐hospital (risk difference, 0.3% [95% confidence interval {CI}: 0.1% to 2.5%]) and within‐hospital (risk difference, 0.6% [95% CI: 0.2% to 3.0%]) matched analyses, children in the oral therapy group did not have more treatment failures than those in the PICC line group. In the same comparisons, both adverse drug reactions and all treatment‐related events were significantly more likely to occur in children treated with long‐term parenteral antibiotics.[4]
Other studies have looked at the treatment of culture‐negative osteoarticular infections in children and have similarly found favorable outcomes in transitioning to oral therapy after a short course of parenteral treatment.[18]
In short, enteral therapy has similar treatment outcomes for culture‐positive and culture‐negative osteomyelitis without the complications associated with parenteral treatment via a PICC line.
WHEN TO CONSIDER PROLONGED PARENTERAL ANTIBIOTICS
The studies indicating the safe transition to oral antibiotics discussed above all excluded children with certain comorbid conditions. Although this varied from study to study, exclusions were as general in some as not previously healthy, and others were as specific as hematologic malignancies, immunocompromised states, sickle cell disease, malabsorption, and penetrating injuries. Also, although we know blood cultures obtained in children with osteomyelitis are positive in only approximately half of the patients,[19] the studies cited do not contain information for their study populations regarding the duration of bacteremia or endovascular complications, such as septic thrombophlebitis, which are well described in the literature.[20, 21] There are limited data on optimal treatment of children with prolonged bacteremia and endovascular complications. Because studies generally involved previously healthy children and do not specifically address these potential complications, the safety of early oral transition in complicated cases is not clear. The current IDSA and Red Book Committee on Infectious Diseases recommend intravenous therapy for bacteremia and endovascular infections with methicillin‐resistant S aureus.[5, 22] Clinical judgement should be used when treating children with comorbid illnesses who experience persistent bacteremia >48 hours, or who have endovascular complications.
WHAT YOU SHOULD DO INSTEAD
For children with acute hematogenous osteomyelitis who are either culture negative and improve on empiric therapy, or who have culture results (blood or tissue) that are susceptible to a reasonable oral antibiotic agent and who have clinical improvement on initial IV antibiotic therapy, a growing body of evidence indicates that the benefit of early transition to oral antibiotics outweighs the risks of continuing with parenteral therapy. Discharging children on oral antibiotics does not increase their risk of treatment failure but seems to decrease the risk of therapy‐associated complications, including increased healthcare utilization with return visits to the emergency department or the hospital. The possible exceptions to early transition to enteral antibiotics are prolonged bacteremia or endovascular infection, though there are insufficient data in the literature indicating benefits or risks of one administration route over the other.
RECOMMENDATIONS
- Previously healthy children with acute hematogenous osteomyelitis, without endovascular complications, should be transitioned to enteral antibiotics when they are showing signs of clinical improvement, as defined by: resolution of fever, improving physical exam, ability to take oral medications, and decreasing C‐reactive protein.
- The choice of oral antibiotics should be based on the organism's antibiotic susceptibility. If cultures are negative and the child has improved on empiric IV therapy, transition to an oral regimen with similar spectrum is acceptable.
- Patients with acute osteomyelitis should have close follow‐up after discharge from the hospital, within 1 to 2 weeks, to ensure continued improvement on therapy.
CONCLUSION
Early transition to oral antibiotics should be used in children with acute, uncomplicated osteomyelitis. A growing body of evidence shows that early transition to oral antibiotics does not increase the risk of treatment failure and can obviate the need for an outpatient PICC line. Oral antibiotics do not carry the risk of potential complications and complexity that are inherent in outpatient parenteral therapy. The transition to oral therapy should occur prior to discharge from the hospital after clinical improvement. Close follow‐up is essential to ensure successful treatment in children with acute osteomyelitis.
Disclosure: Nothing to report.
Do you think this is a low‐value practice? Is this truly a Thing We Do for No Reason? Share what you do in your practice and join in the conversation online by retweeting it on Twitter (#TWDFNR) and liking it on Facebook. We invite you to propose ideas for other Things We Do for No Reason topics by emailing [email protected].
The Things We Do for No Reason (TWDFNR) series reviews practices which have become common parts of hospital care but which may provide little value to our patients. Practices reviewed in the TWDFNR series do not represent black and white conclusions or clinical practice standards, but are meant as a starting place for research and active discussions among hospitalists and patients. We invite you to be part of that discussion. https://www.choosingwisely.org/
A previously healthy 6‐year‐old boy presented to the emergency room with 3 days of right lower leg pain and fevers up to 102F. The leg pain had progressed until he refused to walk. The patient and family did not recall any trauma to the leg. In the emergency department, he had a blood culture drawn. Because he had elevated inflammatory markers and a negative x‐ray of his right leg, a magnetic resonance imaging scan of the right leg was obtained that revealed right tibial osteomyelitis. He was taken to the operating room for debridement. After obtaining blood and bone cultures, he was started on intravenous (IV) vancomycin. His blood and surgical cultures grew methicillin‐resistant Staphylococcus aureus, sensitive to clindamycin. Subsequent blood cultures were negative, and his inflammatory markers trended down shortly after starting therapy. As he clinically improved, a peripherally inserted central catheter (PICC) was placed, and he was discharged home to complete a 6‐week course of IV vancomycin.
BACKGROUND
Osteoarticular infections (osteomyelitis and septic arthritis) are common problems in the pediatric population, affecting 1/2000 children annually and accounting for approximately 1% of all pediatric hospitalizations.[1, 2] Osteomyelitis can occur in children of all ages and usually requires hospitalization for diagnosis and initial management. The most common mechanism of infection in children is hematogenous inoculation of the bone during an episode of bacteremia (acute hematogenous osteomyelitis), particularly in young children, due to the highly vascular nature of the developing bone. Long bones, such as the femur, tibia, and humerus, are most commonly involved. Treatment of acute osteomyelitis requires prolonged administration of antimicrobial agents. Inadequately treated osteomyelitis can result in progression to chronic infection and loss of function of the affected bone.[3]
WHY YOU MIGHT THINK PARENTERAL ANTIBIOTICS AT DISCHARGE IS SUPERIOR TO ENTERAL THERAPY
In the United States, a large proportion of children with hematogenous osteomyelitis are discharged from the hospital with long‐term parenteral intravenous antibiotics through a PICC line.[3] The medical community historically favored parenteral therapy for young children with serious bacterial infections given concerns regarding impaired enteral absorption. As a result, children with osteomyelitis were initially stabilized in the hospital and discharged with parenteral therapy through a PICC line to continue or complete care, even when the organism was susceptible to a viable oral alternative such as clindamycin or cephalexin. Recommendations regarding the safety and timing to transition to oral antibiotics have been lacking. There is also extreme variation in practice in route of administration (oral vs prolonged IV therapy) in patients being discharged from the hospital with osteomyelitis.[3, 4] The most recent Infectious Diseases Society of America (IDSA) guidelines do not clearly state when transition to oral antibiotics may be safe. Specifically, they state that if patients are stable and without ongoing bacteremia, they can transition to oral therapy to complete a 4‐ to 6‐week course.[5]
WHY LONG‐TERM PARENTERAL ANTIBIOTICS MAY NOT BE SUPERIOR
The use of PICC lines has increased substantially in recent years. This has led to an increasing awareness of complications associated with PICC lines. As a result, guidelines for the appropriate use of PICC lines have been established in adults by collaborators at the University of Michigan.[6] Mounting evidence has called into question whether longer parenteral therapy is truly a more conservative or safer approach for the treatment of osteomyelitis.[3, 4, 7, 8, 9] Providing antibiotics via a PICC line in both the inpatient and outpatient settings may not be as benign as once accepted and may not improve outcomes in osteomyelitis as expected.
Costs and Potential Harms Associated With PICC Lines
PICC lines are known to have complications in the hospital including infection and thrombotic events,[10] but these events are not isolated to the hospital setting. Multiple studies have shown outpatient PICC line complication rates ranging from 29% to 41% depending on the type of catheter, the population, and the indication for use.[8, 10, 11, 12, 13] In a recently published study by Keren et al. looking specifically at children with osteomyelitis, emergency department visits and readmissions for PICC line complications occurred in 15% of patients discharged with a PICC line.[4] Given the potential complications and complexity that are inherent in outpatient parenteral therapy, the ISDA has even published guidelines regarding its use.[9] In addition, the cost of IV antibiotics, including administration costs, need for sedation in some children for line placement, and cost of the antibiotic itself, is significantly higher compared to oral therapy. In studies looking at early conversion to oral antibiotics versus prolonged intravenous antibiotics for complicated skin and soft tissue infections, as well as perforated appendicitis, oral antibiotics were more cost effective with an average savings of 30% to 50% and >$4000 respectively.[14, 15]
Patient Outcomes Are Similar When Comparing Parenteral and Enteral Therapy
In addition to increased costs and medication‐related complications, treatment of osteomyelitis with parenteral antibiotics through a PICC line does not improve clinical outcomes. As early as 1997, evidence emerged that an early transition to enteral therapy for osteomyelitis in children may be safe.[16] In 2010, the same group published a larger randomized study with the intent of determining overall treatment duration for osteomyelitis. This study involved 131 culture‐positive cases of osteomyelitis randomized to either a short‐term (20 days) or long‐term (30 days) oral antibiotics following 2 to 4 days of parenteral therapy. In this study, outcomes were favorable and similar despite such a short course of parenteral antibiotics and regardless of the overall treatment duration.[17] Although the aim of this study was not to compare oral and parenteral antibiotics, all patients in this large cohort were treated successfully with early transition to oral therapy.
In 2009, Zaoutis et al. published a large, multicenter, retrospective study of 1969 children with culture‐positive osteomyelitis treated with either prolonged IV therapy (defined as a central line placed before discharge) or oral therapy (no central line placed). They found a 4% incidence of treatment failure in the oral therapy group compared to a 5% incidence in the prolonged IV therapy group. They concluded that early transition to oral therapy was not associated with an increased risk of treatment failure.[3]
More recently, Keren et al. published a comparative effectiveness study using propensity scorebased matching to adjust for confounding variables. This retrospective study included 2060 children without comorbid conditions, ages 2 months to 18 years, with both culture‐positive and culture‐negative acute hematogenous osteomyelitis. Propensity‐based matching used logistic regression to compare patient‐level characteristics including age, race, insurance, length of stay, location of infection, surgical procedures, and isolation of causative pathogens. The rates of treatment failure were nearly identical in the oral therapy (5.0%) and PICC line (6.0%) groups. Similarly, in across‐hospital (risk difference, 0.3% [95% confidence interval {CI}: 0.1% to 2.5%]) and within‐hospital (risk difference, 0.6% [95% CI: 0.2% to 3.0%]) matched analyses, children in the oral therapy group did not have more treatment failures than those in the PICC line group. In the same comparisons, both adverse drug reactions and all treatment‐related events were significantly more likely to occur in children treated with long‐term parenteral antibiotics.[4]
Other studies have looked at the treatment of culture‐negative osteoarticular infections in children and have similarly found favorable outcomes in transitioning to oral therapy after a short course of parenteral treatment.[18]
In short, enteral therapy has similar treatment outcomes for culture‐positive and culture‐negative osteomyelitis without the complications associated with parenteral treatment via a PICC line.
WHEN TO CONSIDER PROLONGED PARENTERAL ANTIBIOTICS
The studies indicating the safe transition to oral antibiotics discussed above all excluded children with certain comorbid conditions. Although this varied from study to study, exclusions were as general in some as not previously healthy, and others were as specific as hematologic malignancies, immunocompromised states, sickle cell disease, malabsorption, and penetrating injuries. Also, although we know blood cultures obtained in children with osteomyelitis are positive in only approximately half of the patients,[19] the studies cited do not contain information for their study populations regarding the duration of bacteremia or endovascular complications, such as septic thrombophlebitis, which are well described in the literature.[20, 21] There are limited data on optimal treatment of children with prolonged bacteremia and endovascular complications. Because studies generally involved previously healthy children and do not specifically address these potential complications, the safety of early oral transition in complicated cases is not clear. The current IDSA and Red Book Committee on Infectious Diseases recommend intravenous therapy for bacteremia and endovascular infections with methicillin‐resistant S aureus.[5, 22] Clinical judgement should be used when treating children with comorbid illnesses who experience persistent bacteremia >48 hours, or who have endovascular complications.
WHAT YOU SHOULD DO INSTEAD
For children with acute hematogenous osteomyelitis who are either culture negative and improve on empiric therapy, or who have culture results (blood or tissue) that are susceptible to a reasonable oral antibiotic agent and who have clinical improvement on initial IV antibiotic therapy, a growing body of evidence indicates that the benefit of early transition to oral antibiotics outweighs the risks of continuing with parenteral therapy. Discharging children on oral antibiotics does not increase their risk of treatment failure but seems to decrease the risk of therapy‐associated complications, including increased healthcare utilization with return visits to the emergency department or the hospital. The possible exceptions to early transition to enteral antibiotics are prolonged bacteremia or endovascular infection, though there are insufficient data in the literature indicating benefits or risks of one administration route over the other.
RECOMMENDATIONS
- Previously healthy children with acute hematogenous osteomyelitis, without endovascular complications, should be transitioned to enteral antibiotics when they are showing signs of clinical improvement, as defined by: resolution of fever, improving physical exam, ability to take oral medications, and decreasing C‐reactive protein.
- The choice of oral antibiotics should be based on the organism's antibiotic susceptibility. If cultures are negative and the child has improved on empiric IV therapy, transition to an oral regimen with similar spectrum is acceptable.
- Patients with acute osteomyelitis should have close follow‐up after discharge from the hospital, within 1 to 2 weeks, to ensure continued improvement on therapy.
CONCLUSION
Early transition to oral antibiotics should be used in children with acute, uncomplicated osteomyelitis. A growing body of evidence shows that early transition to oral antibiotics does not increase the risk of treatment failure and can obviate the need for an outpatient PICC line. Oral antibiotics do not carry the risk of potential complications and complexity that are inherent in outpatient parenteral therapy. The transition to oral therapy should occur prior to discharge from the hospital after clinical improvement. Close follow‐up is essential to ensure successful treatment in children with acute osteomyelitis.
Disclosure: Nothing to report.
Do you think this is a low‐value practice? Is this truly a Thing We Do for No Reason? Share what you do in your practice and join in the conversation online by retweeting it on Twitter (#TWDFNR) and liking it on Facebook. We invite you to propose ideas for other Things We Do for No Reason topics by emailing [email protected].
- Osteomyelitis. In: Feigin RD, Cherry JD, Kaplan, SL, Demmler‐Harrison, GJ, eds. Feigin and Cherry's Textbook of Pediatric Infectious Diseases. Philadelphia, PA: Saunders Elsevier; 2009. .
- Osteomyelitis in children. Curr Opin Pediatr. 2002;14:112–115. .
- Prolonged intravenous therapy versus early transition to oral antimicrobial therapy for acute osteomyelitis in children. Pediatrics. 2009;123:636–642. , , , , , .
- Pediatric Research in Inpatient Settings Network. Comparative effectiveness of intravenous vs oral antibiotics for postdischarge treatment of acute osteomyelitis in children. JAMA Pediatr. 2015;169(2):120–128. , , , et al.;
- Clinical practice guidelines by the Infectious Diseases Society of America for the treatment of methicillin‐resistant staphylococcus aureus infections in adults and children: executive summary. Clin Infect Dis. 2011;52(3):285–292. , , , et al.
- Michigan Appropriateness Guide for Intravenous Catheters (MAGIC) Panel. The Michigan appropriateness guide for intravenous catheters (MAGIC): results from a multispecialty panel using the RAND/UCLA appropriateness method. Ann Intern Med. 2015;163(6 suppl):S1–S40. , , , et al.;
- Intravenous antibiotic durations for common bacterial infections in children: when is enough enough? J Hosp Med. 2014;9(9):604–609. , .
- Complications of central venous catheters used for the treatment of acute hematogenous osteomyelitis. Pediatrics. 2006;117:1210–1215. , , , , , .
- IDSA. Practice guidelines for outpatient parenteral antimicrobial therapy. Clin Infect Dis. 2004;38(12):1651–1672. , , , et al;
- Frequency of Peripherally Inserted Central Catheter Complications in Children. Pediatr Infect Dis J. 2012;31(5):519–521. , , , .
- Risk factors for peripherally inserted central venous catheter complications in children. JAMA Pediatr. 2013;167(5):429–435. , , , , .
- Survival times and complications of catheters used for outpatient parenteral antibiotic therapy in children. Clin Pediatr (Phila). 2007;46:247–251. , , , , .
- Experience using peripherally inserted central venous catheters for outpatient parenteral antibiotic therapy in children at a community hospital. Pediatr Infect Dis J. 2008;27:1069–1072. , , .
- Economic burden of inpatient and outpatient antibiotic treatment for methicillin‐resistant Staphylococcus aureus complicated skin and soft‐tissue infections: a comparison of linezolid, vancomycin, and daptomycin. Clinicoecon Outcomes Res. 2013;5:447–457. , , , , , .
- Postoperative antibiotic therapy for children with perforated appendicitis: long course of intravenous antibiotics versus early conversion to an oral regimen. Am J Surg. 2008;195(2):141–143. , , , et al.
- Simplified treatment of acute staphylococcal osteomyelitis of childhood. The Finnish Study Group. Pediatrics. 1997;99(6):846–850. , , .
- Osteomyelitis‐Septic Arthritis Study Group. Short‐ versus long‐term antimicrobial treatment for acute hematogenous osteomyelitis of childhood: prospective, randomized trial on 131 culture‐positive cases. Pediatr Infect Dis J. 2010;29(12):1123–1128. , , , ;
- Significance of negative cultures in the treatment of acute hematogenous bone and joint infections in children. J Ped Infect Dis. 2013;2(2):119–125. , , , .
- Septic arthritis and osteomyelitis in children. Clin Rheum Dis. 1986;12:423–435. , .
- Venous thrombosis and thromboembolism in children with osteomyelitis. J Pediatr. 2006;149(4):537–541. , , , .
- Venous thrombosis associated with staphylococcal osteomyelitis in children. Pediatrics. 2006;117(5):1673–1679. , , , et al.
- Red Book: 2009 Report of the Committee on Infectious Diseases. 28th ed. Elk Grove Village, IL: American Academy of Pediatrics; 2012. , , , .
- Osteomyelitis. In: Feigin RD, Cherry JD, Kaplan, SL, Demmler‐Harrison, GJ, eds. Feigin and Cherry's Textbook of Pediatric Infectious Diseases. Philadelphia, PA: Saunders Elsevier; 2009. .
- Osteomyelitis in children. Curr Opin Pediatr. 2002;14:112–115. .
- Prolonged intravenous therapy versus early transition to oral antimicrobial therapy for acute osteomyelitis in children. Pediatrics. 2009;123:636–642. , , , , , .
- Pediatric Research in Inpatient Settings Network. Comparative effectiveness of intravenous vs oral antibiotics for postdischarge treatment of acute osteomyelitis in children. JAMA Pediatr. 2015;169(2):120–128. , , , et al.;
- Clinical practice guidelines by the Infectious Diseases Society of America for the treatment of methicillin‐resistant staphylococcus aureus infections in adults and children: executive summary. Clin Infect Dis. 2011;52(3):285–292. , , , et al.
- Michigan Appropriateness Guide for Intravenous Catheters (MAGIC) Panel. The Michigan appropriateness guide for intravenous catheters (MAGIC): results from a multispecialty panel using the RAND/UCLA appropriateness method. Ann Intern Med. 2015;163(6 suppl):S1–S40. , , , et al.;
- Intravenous antibiotic durations for common bacterial infections in children: when is enough enough? J Hosp Med. 2014;9(9):604–609. , .
- Complications of central venous catheters used for the treatment of acute hematogenous osteomyelitis. Pediatrics. 2006;117:1210–1215. , , , , , .
- IDSA. Practice guidelines for outpatient parenteral antimicrobial therapy. Clin Infect Dis. 2004;38(12):1651–1672. , , , et al;
- Frequency of Peripherally Inserted Central Catheter Complications in Children. Pediatr Infect Dis J. 2012;31(5):519–521. , , , .
- Risk factors for peripherally inserted central venous catheter complications in children. JAMA Pediatr. 2013;167(5):429–435. , , , , .
- Survival times and complications of catheters used for outpatient parenteral antibiotic therapy in children. Clin Pediatr (Phila). 2007;46:247–251. , , , , .
- Experience using peripherally inserted central venous catheters for outpatient parenteral antibiotic therapy in children at a community hospital. Pediatr Infect Dis J. 2008;27:1069–1072. , , .
- Economic burden of inpatient and outpatient antibiotic treatment for methicillin‐resistant Staphylococcus aureus complicated skin and soft‐tissue infections: a comparison of linezolid, vancomycin, and daptomycin. Clinicoecon Outcomes Res. 2013;5:447–457. , , , , , .
- Postoperative antibiotic therapy for children with perforated appendicitis: long course of intravenous antibiotics versus early conversion to an oral regimen. Am J Surg. 2008;195(2):141–143. , , , et al.
- Simplified treatment of acute staphylococcal osteomyelitis of childhood. The Finnish Study Group. Pediatrics. 1997;99(6):846–850. , , .
- Osteomyelitis‐Septic Arthritis Study Group. Short‐ versus long‐term antimicrobial treatment for acute hematogenous osteomyelitis of childhood: prospective, randomized trial on 131 culture‐positive cases. Pediatr Infect Dis J. 2010;29(12):1123–1128. , , , ;
- Significance of negative cultures in the treatment of acute hematogenous bone and joint infections in children. J Ped Infect Dis. 2013;2(2):119–125. , , , .
- Septic arthritis and osteomyelitis in children. Clin Rheum Dis. 1986;12:423–435. , .
- Venous thrombosis and thromboembolism in children with osteomyelitis. J Pediatr. 2006;149(4):537–541. , , , .
- Venous thrombosis associated with staphylococcal osteomyelitis in children. Pediatrics. 2006;117(5):1673–1679. , , , et al.
- Red Book: 2009 Report of the Committee on Infectious Diseases. 28th ed. Elk Grove Village, IL: American Academy of Pediatrics; 2012. , , , .
© 2016 Society of Hospital Medicine
Next 20 Years of Hospital Medicine
In 1995 I took my first job as a hospitalist at a community teaching hospital where hospitalists, though then known as medical directors, had been in place for 20 years. Soon afterward, our field gained a name, and my old job no longer was mistaken for a utilization review functionary or lead of a medical unit.
I have been lucky enough to have seen the field of hospital medicine grow rapidly in scope and importance. The growth of our specialty in mere numbers alone is a testament to the value we in hospital medicine (MDs, DOs, PAs, NPs) bring to the care of acutely ill patients. We are the front line caring for the elderly and vulnerable, the glue holding transdisciplinary care teams together, and lead hospitals, health systems, and governmental organizations. Hospitalists touch the lives of our patients, and shape the health systems' practices and health policy on a national and international scale. These are remarkable achievements for a field which, just a few years ago, was concerned about becoming a job equivalent to perpetual residency training (or worse) and gained only grudging acceptance.[1] There is no doubt that the roles of hospitalists will continue to evolve, and whereas hospitalists will be able to shape the debates and development of new programs solving the problems of our health systems, we must take time to foster the mind, heart, and soul of our field.
When I speak of the mind of hospital medicine, I am thinking of our field's contribution to the evidence for how to care for patients' illnesses, a different body of knowledge than our field's focus to date on hospitals and health systems. Hospital medicine has been growing research capacity at a rate that is slower than the field overall, a problem in part due to limitations in National Institutes of Health funding for fellowships and early‐career awards, which in turn has restricted the pipeline of young and innovative researchers. Slow growth may also be a result of an emphasis on health systems rather than diseases.[2] I and others have written about the need to create mentoring support for junior research faculty as a way to promote success and avoid burnout,[3, 4, 5, 6, 7] and while at least 1 hospital medicine research network exists,[8] there is room for many more. However, at its core, our specialty needs to devote more time and focus to becoming a full scientific partner with our colleagues in cardiology, pulmonary medicine, and critical care, among others. To develop the mind of hospital medicine we will also need to think about our contributions to useful clinical guidelines for care of diseases and patients. Developing trustworthy clinical guidelines can be time consuming[9] but is a key part of ensuring patients and families understand the rationale for changes in clinical care. Hospital medicine as a field has been a leader in programs that develop approaches to implementing evidence and stands in an excellent position toperhaps in collaboration with other specialtiescreate the next‐generation guidelines that are practically minded, evidence based, and end up being used.
The heart I speak of is how we can make sure that the field of hospital medicine is one that is attractive and sustainable as a career. Electronic health records' impact on day‐to‐day work is substantial and a large part of the problem, though a more fundamental problem we face is in how to create sustainable jobs at a time where we are going to need to deliver higher‐value care to more patients with the same number (or fewer) providers. This is an issue that means we need to settle many important aspects of our workpay, relationships with our peers, control over our work on a day‐to‐day basis, hospitalists' work schedules (such as the 7 days on/7 days off model)while we also grapple with how to work within a population‐health framework. I am not prescient enough to see all the solutions to burnout, but there are at least 2 opportunities hospitalists are perhaps best suited to develop and lead. The first is how we arrange our teams in the hospital and afterward. Recent articles have talked about how medicine needs to be open to Uber‐like disruptive models,[10] where labor is deployed in fundamentally different ways. Tools such as e‐consults, the application of population health tools to inpatient care, telemedicine, or some forms of predictive analytics may be examples of these tools, which are routes to allowing more care to be delivered more effectively and more efficiently. Another opportunity lies in how we adapt our electronic health records to our work (and vice versa). The perils of sloppy and paste documentation are indicative of the burden of busywork, the pressures of needing to focus on revenue rather than clinical utility, and exhaustion; hospitalists are well positioned to think about howas payment reform continues to evolvedocumentation can be less busywork and more clinically useful, patient oriented, and shareable across sites and phases of care.
Now to the soul of our field. Hospital medicine has rightly been considered a key partner in developing the solutions hospitals and health systems need to address gaps in quality, safety, value, and clinical outcomes. However, this self‐image of hospital medicine has the downside of being viewed as doctors for hospitals, rather than doctors for patients and families who are in hospitals. As we think about burnout and jobs that are fulfilling and meaningful over the long term, I increasingly return to the factors that motivated me and many others to become physicians: meaningful relationships with patients, being an excellent clinician, and making a lasting contribution to my community through my patient care, support of my colleagues, and teaching younger physicians. It is easy for the pressures of the hospital and need to fix problems rapidly to obscure these larger motivators, but our field will need to ensure that these elements remain how we prioritize and shape our field going forward. Hospital medicine is comprised of physicians who do clinical care and who in most cases entered the field for that reason alone. Using the true north of improving and innovating care in ways that impact patient livesnot just the needs of our hospitalsin meaningful ways will need to be the soul of our field, and will allow the mind and heart of hospitalists and hospital medicine to thrive.
- The hospitalist movement—time to move on. N Engl J Med. 2007;357(25):2627–2629. .
- An intellectual agenda for hospitalists: lessons from bloodletting. J Hosp Med. 2013;8(7):418–419. .
- Mentorship, productivity, and promotion among academic hospitalists. J Gen Intern Med. 2012;27(1):23–27. , , , , , .
- Investing in the future: building an academic hospitalist faculty development program. J Hosp Med. 2011;6(3):161–166. , , , .
- Survey of US academic hospitalist leaders about mentorship and academic activities in hospitalist groups. J Hosp Med. 2011;6(1):5–9. , , , .
- Career satisfaction and burnout in academic hospital medicine. Arch Intern Med. 2011;171(8):782–785. , , , , , .
- Challenges and opportunities in academic hospital medicine: report from the academic hospital medicine summit. J Gen Intern Med. 2009;24(5):636–641. , , , , , .
- The Hospital Medicine Reengineering Network (HOMERuN): a learning organization focused on improving hospital care. Acad Med. 2014;89(3):415–420. , , , et al.
- Clinical practice guidelines we can trust. National Academy of Sciences website. Available at: http://www.nationalacademies.org/hmd/Reports/2011/Clinical‐Practice‐Guidelines‐We‐Can‐Trust.aspx. Published March 23, 2011. Accessed May 20, 2016. , , , et al.
- Uber's message for health care. N Engl J Med. 2016;374(9):806–809. , .
In 1995 I took my first job as a hospitalist at a community teaching hospital where hospitalists, though then known as medical directors, had been in place for 20 years. Soon afterward, our field gained a name, and my old job no longer was mistaken for a utilization review functionary or lead of a medical unit.
I have been lucky enough to have seen the field of hospital medicine grow rapidly in scope and importance. The growth of our specialty in mere numbers alone is a testament to the value we in hospital medicine (MDs, DOs, PAs, NPs) bring to the care of acutely ill patients. We are the front line caring for the elderly and vulnerable, the glue holding transdisciplinary care teams together, and lead hospitals, health systems, and governmental organizations. Hospitalists touch the lives of our patients, and shape the health systems' practices and health policy on a national and international scale. These are remarkable achievements for a field which, just a few years ago, was concerned about becoming a job equivalent to perpetual residency training (or worse) and gained only grudging acceptance.[1] There is no doubt that the roles of hospitalists will continue to evolve, and whereas hospitalists will be able to shape the debates and development of new programs solving the problems of our health systems, we must take time to foster the mind, heart, and soul of our field.
When I speak of the mind of hospital medicine, I am thinking of our field's contribution to the evidence for how to care for patients' illnesses, a different body of knowledge than our field's focus to date on hospitals and health systems. Hospital medicine has been growing research capacity at a rate that is slower than the field overall, a problem in part due to limitations in National Institutes of Health funding for fellowships and early‐career awards, which in turn has restricted the pipeline of young and innovative researchers. Slow growth may also be a result of an emphasis on health systems rather than diseases.[2] I and others have written about the need to create mentoring support for junior research faculty as a way to promote success and avoid burnout,[3, 4, 5, 6, 7] and while at least 1 hospital medicine research network exists,[8] there is room for many more. However, at its core, our specialty needs to devote more time and focus to becoming a full scientific partner with our colleagues in cardiology, pulmonary medicine, and critical care, among others. To develop the mind of hospital medicine we will also need to think about our contributions to useful clinical guidelines for care of diseases and patients. Developing trustworthy clinical guidelines can be time consuming[9] but is a key part of ensuring patients and families understand the rationale for changes in clinical care. Hospital medicine as a field has been a leader in programs that develop approaches to implementing evidence and stands in an excellent position toperhaps in collaboration with other specialtiescreate the next‐generation guidelines that are practically minded, evidence based, and end up being used.
The heart I speak of is how we can make sure that the field of hospital medicine is one that is attractive and sustainable as a career. Electronic health records' impact on day‐to‐day work is substantial and a large part of the problem, though a more fundamental problem we face is in how to create sustainable jobs at a time where we are going to need to deliver higher‐value care to more patients with the same number (or fewer) providers. This is an issue that means we need to settle many important aspects of our workpay, relationships with our peers, control over our work on a day‐to‐day basis, hospitalists' work schedules (such as the 7 days on/7 days off model)while we also grapple with how to work within a population‐health framework. I am not prescient enough to see all the solutions to burnout, but there are at least 2 opportunities hospitalists are perhaps best suited to develop and lead. The first is how we arrange our teams in the hospital and afterward. Recent articles have talked about how medicine needs to be open to Uber‐like disruptive models,[10] where labor is deployed in fundamentally different ways. Tools such as e‐consults, the application of population health tools to inpatient care, telemedicine, or some forms of predictive analytics may be examples of these tools, which are routes to allowing more care to be delivered more effectively and more efficiently. Another opportunity lies in how we adapt our electronic health records to our work (and vice versa). The perils of sloppy and paste documentation are indicative of the burden of busywork, the pressures of needing to focus on revenue rather than clinical utility, and exhaustion; hospitalists are well positioned to think about howas payment reform continues to evolvedocumentation can be less busywork and more clinically useful, patient oriented, and shareable across sites and phases of care.
Now to the soul of our field. Hospital medicine has rightly been considered a key partner in developing the solutions hospitals and health systems need to address gaps in quality, safety, value, and clinical outcomes. However, this self‐image of hospital medicine has the downside of being viewed as doctors for hospitals, rather than doctors for patients and families who are in hospitals. As we think about burnout and jobs that are fulfilling and meaningful over the long term, I increasingly return to the factors that motivated me and many others to become physicians: meaningful relationships with patients, being an excellent clinician, and making a lasting contribution to my community through my patient care, support of my colleagues, and teaching younger physicians. It is easy for the pressures of the hospital and need to fix problems rapidly to obscure these larger motivators, but our field will need to ensure that these elements remain how we prioritize and shape our field going forward. Hospital medicine is comprised of physicians who do clinical care and who in most cases entered the field for that reason alone. Using the true north of improving and innovating care in ways that impact patient livesnot just the needs of our hospitalsin meaningful ways will need to be the soul of our field, and will allow the mind and heart of hospitalists and hospital medicine to thrive.
In 1995 I took my first job as a hospitalist at a community teaching hospital where hospitalists, though then known as medical directors, had been in place for 20 years. Soon afterward, our field gained a name, and my old job no longer was mistaken for a utilization review functionary or lead of a medical unit.
I have been lucky enough to have seen the field of hospital medicine grow rapidly in scope and importance. The growth of our specialty in mere numbers alone is a testament to the value we in hospital medicine (MDs, DOs, PAs, NPs) bring to the care of acutely ill patients. We are the front line caring for the elderly and vulnerable, the glue holding transdisciplinary care teams together, and lead hospitals, health systems, and governmental organizations. Hospitalists touch the lives of our patients, and shape the health systems' practices and health policy on a national and international scale. These are remarkable achievements for a field which, just a few years ago, was concerned about becoming a job equivalent to perpetual residency training (or worse) and gained only grudging acceptance.[1] There is no doubt that the roles of hospitalists will continue to evolve, and whereas hospitalists will be able to shape the debates and development of new programs solving the problems of our health systems, we must take time to foster the mind, heart, and soul of our field.
When I speak of the mind of hospital medicine, I am thinking of our field's contribution to the evidence for how to care for patients' illnesses, a different body of knowledge than our field's focus to date on hospitals and health systems. Hospital medicine has been growing research capacity at a rate that is slower than the field overall, a problem in part due to limitations in National Institutes of Health funding for fellowships and early‐career awards, which in turn has restricted the pipeline of young and innovative researchers. Slow growth may also be a result of an emphasis on health systems rather than diseases.[2] I and others have written about the need to create mentoring support for junior research faculty as a way to promote success and avoid burnout,[3, 4, 5, 6, 7] and while at least 1 hospital medicine research network exists,[8] there is room for many more. However, at its core, our specialty needs to devote more time and focus to becoming a full scientific partner with our colleagues in cardiology, pulmonary medicine, and critical care, among others. To develop the mind of hospital medicine we will also need to think about our contributions to useful clinical guidelines for care of diseases and patients. Developing trustworthy clinical guidelines can be time consuming[9] but is a key part of ensuring patients and families understand the rationale for changes in clinical care. Hospital medicine as a field has been a leader in programs that develop approaches to implementing evidence and stands in an excellent position toperhaps in collaboration with other specialtiescreate the next‐generation guidelines that are practically minded, evidence based, and end up being used.
The heart I speak of is how we can make sure that the field of hospital medicine is one that is attractive and sustainable as a career. Electronic health records' impact on day‐to‐day work is substantial and a large part of the problem, though a more fundamental problem we face is in how to create sustainable jobs at a time where we are going to need to deliver higher‐value care to more patients with the same number (or fewer) providers. This is an issue that means we need to settle many important aspects of our workpay, relationships with our peers, control over our work on a day‐to‐day basis, hospitalists' work schedules (such as the 7 days on/7 days off model)while we also grapple with how to work within a population‐health framework. I am not prescient enough to see all the solutions to burnout, but there are at least 2 opportunities hospitalists are perhaps best suited to develop and lead. The first is how we arrange our teams in the hospital and afterward. Recent articles have talked about how medicine needs to be open to Uber‐like disruptive models,[10] where labor is deployed in fundamentally different ways. Tools such as e‐consults, the application of population health tools to inpatient care, telemedicine, or some forms of predictive analytics may be examples of these tools, which are routes to allowing more care to be delivered more effectively and more efficiently. Another opportunity lies in how we adapt our electronic health records to our work (and vice versa). The perils of sloppy and paste documentation are indicative of the burden of busywork, the pressures of needing to focus on revenue rather than clinical utility, and exhaustion; hospitalists are well positioned to think about howas payment reform continues to evolvedocumentation can be less busywork and more clinically useful, patient oriented, and shareable across sites and phases of care.
Now to the soul of our field. Hospital medicine has rightly been considered a key partner in developing the solutions hospitals and health systems need to address gaps in quality, safety, value, and clinical outcomes. However, this self‐image of hospital medicine has the downside of being viewed as doctors for hospitals, rather than doctors for patients and families who are in hospitals. As we think about burnout and jobs that are fulfilling and meaningful over the long term, I increasingly return to the factors that motivated me and many others to become physicians: meaningful relationships with patients, being an excellent clinician, and making a lasting contribution to my community through my patient care, support of my colleagues, and teaching younger physicians. It is easy for the pressures of the hospital and need to fix problems rapidly to obscure these larger motivators, but our field will need to ensure that these elements remain how we prioritize and shape our field going forward. Hospital medicine is comprised of physicians who do clinical care and who in most cases entered the field for that reason alone. Using the true north of improving and innovating care in ways that impact patient livesnot just the needs of our hospitalsin meaningful ways will need to be the soul of our field, and will allow the mind and heart of hospitalists and hospital medicine to thrive.
- The hospitalist movement—time to move on. N Engl J Med. 2007;357(25):2627–2629. .
- An intellectual agenda for hospitalists: lessons from bloodletting. J Hosp Med. 2013;8(7):418–419. .
- Mentorship, productivity, and promotion among academic hospitalists. J Gen Intern Med. 2012;27(1):23–27. , , , , , .
- Investing in the future: building an academic hospitalist faculty development program. J Hosp Med. 2011;6(3):161–166. , , , .
- Survey of US academic hospitalist leaders about mentorship and academic activities in hospitalist groups. J Hosp Med. 2011;6(1):5–9. , , , .
- Career satisfaction and burnout in academic hospital medicine. Arch Intern Med. 2011;171(8):782–785. , , , , , .
- Challenges and opportunities in academic hospital medicine: report from the academic hospital medicine summit. J Gen Intern Med. 2009;24(5):636–641. , , , , , .
- The Hospital Medicine Reengineering Network (HOMERuN): a learning organization focused on improving hospital care. Acad Med. 2014;89(3):415–420. , , , et al.
- Clinical practice guidelines we can trust. National Academy of Sciences website. Available at: http://www.nationalacademies.org/hmd/Reports/2011/Clinical‐Practice‐Guidelines‐We‐Can‐Trust.aspx. Published March 23, 2011. Accessed May 20, 2016. , , , et al.
- Uber's message for health care. N Engl J Med. 2016;374(9):806–809. , .
- The hospitalist movement—time to move on. N Engl J Med. 2007;357(25):2627–2629. .
- An intellectual agenda for hospitalists: lessons from bloodletting. J Hosp Med. 2013;8(7):418–419. .
- Mentorship, productivity, and promotion among academic hospitalists. J Gen Intern Med. 2012;27(1):23–27. , , , , , .
- Investing in the future: building an academic hospitalist faculty development program. J Hosp Med. 2011;6(3):161–166. , , , .
- Survey of US academic hospitalist leaders about mentorship and academic activities in hospitalist groups. J Hosp Med. 2011;6(1):5–9. , , , .
- Career satisfaction and burnout in academic hospital medicine. Arch Intern Med. 2011;171(8):782–785. , , , , , .
- Challenges and opportunities in academic hospital medicine: report from the academic hospital medicine summit. J Gen Intern Med. 2009;24(5):636–641. , , , , , .
- The Hospital Medicine Reengineering Network (HOMERuN): a learning organization focused on improving hospital care. Acad Med. 2014;89(3):415–420. , , , et al.
- Clinical practice guidelines we can trust. National Academy of Sciences website. Available at: http://www.nationalacademies.org/hmd/Reports/2011/Clinical‐Practice‐Guidelines‐We‐Can‐Trust.aspx. Published March 23, 2011. Accessed May 20, 2016. , , , et al.
- Uber's message for health care. N Engl J Med. 2016;374(9):806–809. , .
Definition of a Children's Hospital
When I was a resident, one common warning delivered to us by our putatively omniscient attendings was, Well you know, most children are not hospitalized at children's hospitals. This caution was likely meant to warn us future pediatricians that the supports and access to pediatric subspecialists we took for granted in a children's hospital would be different once we graduated and left for community settings. However, it is doubtful that any resident ever challenged the validity of that statement. Are most children hospitalized at general hospitals and is the availability of subspecialty services different between general and children's hospitals?
In this issue of the Journal of Hospital Medicine, Leyenaar et al.[1] set out to test that warning and to quantify where children in the United States are hospitalized. They investigated differences in the pediatric hospitalizations at general and freestanding children's hospitals. In doing so, their findings began to implicitly explore what is meant by the term children's hospital. The authors utilized the Agency for Healthcare Quality and Research's (AHQR) 2012 Kids Inpatient Database (KID), which after excluding in‐hospital births and pregnancy‐related admissions, captured nearly 4000 hospitals and 1.4 million acute care pediatric admissions across the United States.
Leyenaar et al. found that our attendings were correct, confirming a prior study on the subject[2]; close to three‐quarters of discharges were from general hospitals. However, although the most frequent reasons for hospitalization were similar between the 2 types of hospitals, that is where the similarities ended. They found that although the median annual number of discharges at the 50 freestanding children's hospitals was 12,000, it was only 56 at the nearly 4000 general hospitals. Approximately 80% of general hospitals (the equivalent of nearly 3000 hospitals) accounted for only 11% of all discharges and had less than 375 annual pediatric discharges, essentially 1 discharge per day or fewer. In addition, over one‐third of discharges at freestanding children's hospitals were for children with medical complexity, compared to 1 in 5 at general hospitals. Furthermore, one‐quarter of discharges at freestanding children's hospitals were of high or highest severity, compared with half that amount at general hospitals.
Although it is not possible to determine the quality of care from the KID, the authors insightfully discuss the implications these differences have on quality improvement and quality measurement. General hospitals with low volumes of pediatric inpatients may have difficulty providing condition‐specific quality metrics or implementing condition‐specific quality improvement processes. How can you compare quality across hospitals averaging only 56 pediatric admissions a year? If existing quality metrics are not meaningful for those hospitals, but the majority of children are admitted to them, the development of new, more useful, quality metrics is needed.
Perhaps the most interesting finding resulted from a new and unfortunate limitation in the KID database. Beginning in 2012, the AHQR began deidentifying all hospitals contributing data to the KID, leaving researchers reliant on KID's categorization of hospitals as either freestanding children's hospitals or general hospitals. The authors attempted to work around these limitations to identify those children's hospitals that were not freestanding but were located within general hospitals. They found that 36 general hospitals had patient volumes equivalent to freestanding children's hospitals, whereas 20 freestanding children's hospitals had very infrequent admissions for the most common discharge diagnoses. The authors are almost certainly correct in deeming the latter 20 hospitals to be subspecialty children's hospitals, such as those focused solely on orthopedic or oncologic conditions. Among the 36 high‐volume general hospitals, the authors found that patient complexity and severity was more similar to freestanding children's hospitals than to the low‐volume general hospitals. Length of stay (and therefore presumably costs as well) for high‐volume general hospitals was positioned between freestanding children's hospitals and low‐volume general hospitals.
Who are those high‐volume hospitals that appear to be general in name only? Because of KID's deidentification of hospitals, we do not know. It is possible that those hospitals self‐identify as being children's hospitals, but are not freestanding, meaning that they are located within a general hospital (hospitals within a hospital). If they are children's hospitals within general hospitals, it would provide a different perspective to the study's overall finding that 71% of hospitalizations, 64% of hospital days, and 50% of costs occur at general hospitals. As the authors allude to, some institutions may not call themselves freestanding children's hospitals but function that way; other institutions call themselves freestanding children's hospitals but offer very focused specialty services. Through this limitation in the KID database, the authors began the process of identifying hospitals that look like freestanding children's hospitals but are not called that. In other words, they began creating a more robust functional definition of which institutions are truly children's hospitals. Volume does not, of course, always equate into specialization, and much work needs to be done measuring the availability of subspecialty and critical care services before any functional definition of children's hospital can be made; the potential, however, is intriguing.
Does it matter which hospitals are deemed children's hospitals? Although a hospitalist may not place importance on the name over the hospital's entrance, the Centers for Medicare and Medicaid Services (CMS) and state insurance regulators may find the difference extremely important. CMS and state insurance regulators are increasingly focusing their attention on the adequacy of pediatric insurance networks.[3, 4, 5, 6] They are seeking to create rules that ensure health insurance plans have a broad range of pediatric subspecialists in close proximity to the great majority of children insured by the plan. For adult insurance, the adequacy of a plan's network is typically defined by the time and distance from a patient's home to a specialist. However, unlike in adult medicine, pediatric subspecialty care is becoming increasingly regionalized at academic medical centers, especially children's hospitals. Furthermore, unlike adult care, a wide range of pediatric subspecialists is unlikely to be found at the hospital closest to a patient's home. Therefore, time and distance rules for ensuring network adequacy may fail within pediatric care. Instead, inclusion of a hospital designatedby functional or other criteriaas a children's hospital may be the best way to ensure the adequate provision of pediatric specialty care within a network.
How policymakers define pediatric network adequacy will have important implications for ensuring that pediatric inpatient medicine achieves the goal of the right patient, the right place, the right time. Therefore, the attending from our residency may have been correct that most children are not hospitalized at children's hospitals. However, depending on how pediatric network adequacy rules are developed, that may not have to mean that these children (and their pediatricians) will be out there alone.
Disclosure
Nothing to report.
- Epidemiology of pediatric hospitalizations at general hospitals and freestanding children's hospitals in the United States. J Hosp Med. 2016;11(11):743–749. , , , , , .
- Hospitalizations of low‐income children and children with severe health conditions: implications of the Patient Protection and Affordable Care Act. JAMA Pediatr. 2016;170(2):176–178. , , , et al.
- Provider networks: comparison of child‐focused network adequacy standards between CHIP and private health plans. United States Government Accountability Office Report to the Ranking Member, Committee on Finance, United States Senate. Available at: http://www.gao.gov/assets/680/674999.pdf. Published February 2016. Accessed May 10, 2016. .
- Medicaid and CHIP Payment and Access Commission. March 2015 Report to Congress on Medicaid and CHIP. Available at: https://www.macpac.gov/wp‐content/uploads/2015/03/March‐2015‐Report‐to‐Congress‐on‐Medicaid‐and‐CHIP.pdf. Published March 2015. Accessed May 10, 2016.
- Insurance carriers and access to healthcare providers: network adequacy. National Conference of State Legislatures website. Available at: www.ncsl.org/research/health/insurance‐carriers‐and‐access‐to‐healthcare‐providers‐network‐adequacy.aspx. Published November 13, 2015. Accessed April 4, 2016. .
- Ensuring consumers' access to care: network adequacy state insurance survey findings and recommendations for regulatory reforms in a changing insurance market. Available at: http://www.naic.org/documents/committees_conliaison_network_adequacy_report.pdf. Published November 2014. Accessed May 10, 2016. , , , et al.
When I was a resident, one common warning delivered to us by our putatively omniscient attendings was, Well you know, most children are not hospitalized at children's hospitals. This caution was likely meant to warn us future pediatricians that the supports and access to pediatric subspecialists we took for granted in a children's hospital would be different once we graduated and left for community settings. However, it is doubtful that any resident ever challenged the validity of that statement. Are most children hospitalized at general hospitals and is the availability of subspecialty services different between general and children's hospitals?
In this issue of the Journal of Hospital Medicine, Leyenaar et al.[1] set out to test that warning and to quantify where children in the United States are hospitalized. They investigated differences in the pediatric hospitalizations at general and freestanding children's hospitals. In doing so, their findings began to implicitly explore what is meant by the term children's hospital. The authors utilized the Agency for Healthcare Quality and Research's (AHQR) 2012 Kids Inpatient Database (KID), which after excluding in‐hospital births and pregnancy‐related admissions, captured nearly 4000 hospitals and 1.4 million acute care pediatric admissions across the United States.
Leyenaar et al. found that our attendings were correct, confirming a prior study on the subject[2]; close to three‐quarters of discharges were from general hospitals. However, although the most frequent reasons for hospitalization were similar between the 2 types of hospitals, that is where the similarities ended. They found that although the median annual number of discharges at the 50 freestanding children's hospitals was 12,000, it was only 56 at the nearly 4000 general hospitals. Approximately 80% of general hospitals (the equivalent of nearly 3000 hospitals) accounted for only 11% of all discharges and had less than 375 annual pediatric discharges, essentially 1 discharge per day or fewer. In addition, over one‐third of discharges at freestanding children's hospitals were for children with medical complexity, compared to 1 in 5 at general hospitals. Furthermore, one‐quarter of discharges at freestanding children's hospitals were of high or highest severity, compared with half that amount at general hospitals.
Although it is not possible to determine the quality of care from the KID, the authors insightfully discuss the implications these differences have on quality improvement and quality measurement. General hospitals with low volumes of pediatric inpatients may have difficulty providing condition‐specific quality metrics or implementing condition‐specific quality improvement processes. How can you compare quality across hospitals averaging only 56 pediatric admissions a year? If existing quality metrics are not meaningful for those hospitals, but the majority of children are admitted to them, the development of new, more useful, quality metrics is needed.
Perhaps the most interesting finding resulted from a new and unfortunate limitation in the KID database. Beginning in 2012, the AHQR began deidentifying all hospitals contributing data to the KID, leaving researchers reliant on KID's categorization of hospitals as either freestanding children's hospitals or general hospitals. The authors attempted to work around these limitations to identify those children's hospitals that were not freestanding but were located within general hospitals. They found that 36 general hospitals had patient volumes equivalent to freestanding children's hospitals, whereas 20 freestanding children's hospitals had very infrequent admissions for the most common discharge diagnoses. The authors are almost certainly correct in deeming the latter 20 hospitals to be subspecialty children's hospitals, such as those focused solely on orthopedic or oncologic conditions. Among the 36 high‐volume general hospitals, the authors found that patient complexity and severity was more similar to freestanding children's hospitals than to the low‐volume general hospitals. Length of stay (and therefore presumably costs as well) for high‐volume general hospitals was positioned between freestanding children's hospitals and low‐volume general hospitals.
Who are those high‐volume hospitals that appear to be general in name only? Because of KID's deidentification of hospitals, we do not know. It is possible that those hospitals self‐identify as being children's hospitals, but are not freestanding, meaning that they are located within a general hospital (hospitals within a hospital). If they are children's hospitals within general hospitals, it would provide a different perspective to the study's overall finding that 71% of hospitalizations, 64% of hospital days, and 50% of costs occur at general hospitals. As the authors allude to, some institutions may not call themselves freestanding children's hospitals but function that way; other institutions call themselves freestanding children's hospitals but offer very focused specialty services. Through this limitation in the KID database, the authors began the process of identifying hospitals that look like freestanding children's hospitals but are not called that. In other words, they began creating a more robust functional definition of which institutions are truly children's hospitals. Volume does not, of course, always equate into specialization, and much work needs to be done measuring the availability of subspecialty and critical care services before any functional definition of children's hospital can be made; the potential, however, is intriguing.
Does it matter which hospitals are deemed children's hospitals? Although a hospitalist may not place importance on the name over the hospital's entrance, the Centers for Medicare and Medicaid Services (CMS) and state insurance regulators may find the difference extremely important. CMS and state insurance regulators are increasingly focusing their attention on the adequacy of pediatric insurance networks.[3, 4, 5, 6] They are seeking to create rules that ensure health insurance plans have a broad range of pediatric subspecialists in close proximity to the great majority of children insured by the plan. For adult insurance, the adequacy of a plan's network is typically defined by the time and distance from a patient's home to a specialist. However, unlike in adult medicine, pediatric subspecialty care is becoming increasingly regionalized at academic medical centers, especially children's hospitals. Furthermore, unlike adult care, a wide range of pediatric subspecialists is unlikely to be found at the hospital closest to a patient's home. Therefore, time and distance rules for ensuring network adequacy may fail within pediatric care. Instead, inclusion of a hospital designatedby functional or other criteriaas a children's hospital may be the best way to ensure the adequate provision of pediatric specialty care within a network.
How policymakers define pediatric network adequacy will have important implications for ensuring that pediatric inpatient medicine achieves the goal of the right patient, the right place, the right time. Therefore, the attending from our residency may have been correct that most children are not hospitalized at children's hospitals. However, depending on how pediatric network adequacy rules are developed, that may not have to mean that these children (and their pediatricians) will be out there alone.
Disclosure
Nothing to report.
When I was a resident, one common warning delivered to us by our putatively omniscient attendings was, Well you know, most children are not hospitalized at children's hospitals. This caution was likely meant to warn us future pediatricians that the supports and access to pediatric subspecialists we took for granted in a children's hospital would be different once we graduated and left for community settings. However, it is doubtful that any resident ever challenged the validity of that statement. Are most children hospitalized at general hospitals and is the availability of subspecialty services different between general and children's hospitals?
In this issue of the Journal of Hospital Medicine, Leyenaar et al.[1] set out to test that warning and to quantify where children in the United States are hospitalized. They investigated differences in the pediatric hospitalizations at general and freestanding children's hospitals. In doing so, their findings began to implicitly explore what is meant by the term children's hospital. The authors utilized the Agency for Healthcare Quality and Research's (AHQR) 2012 Kids Inpatient Database (KID), which after excluding in‐hospital births and pregnancy‐related admissions, captured nearly 4000 hospitals and 1.4 million acute care pediatric admissions across the United States.
Leyenaar et al. found that our attendings were correct, confirming a prior study on the subject[2]; close to three‐quarters of discharges were from general hospitals. However, although the most frequent reasons for hospitalization were similar between the 2 types of hospitals, that is where the similarities ended. They found that although the median annual number of discharges at the 50 freestanding children's hospitals was 12,000, it was only 56 at the nearly 4000 general hospitals. Approximately 80% of general hospitals (the equivalent of nearly 3000 hospitals) accounted for only 11% of all discharges and had less than 375 annual pediatric discharges, essentially 1 discharge per day or fewer. In addition, over one‐third of discharges at freestanding children's hospitals were for children with medical complexity, compared to 1 in 5 at general hospitals. Furthermore, one‐quarter of discharges at freestanding children's hospitals were of high or highest severity, compared with half that amount at general hospitals.
Although it is not possible to determine the quality of care from the KID, the authors insightfully discuss the implications these differences have on quality improvement and quality measurement. General hospitals with low volumes of pediatric inpatients may have difficulty providing condition‐specific quality metrics or implementing condition‐specific quality improvement processes. How can you compare quality across hospitals averaging only 56 pediatric admissions a year? If existing quality metrics are not meaningful for those hospitals, but the majority of children are admitted to them, the development of new, more useful, quality metrics is needed.
Perhaps the most interesting finding resulted from a new and unfortunate limitation in the KID database. Beginning in 2012, the AHQR began deidentifying all hospitals contributing data to the KID, leaving researchers reliant on KID's categorization of hospitals as either freestanding children's hospitals or general hospitals. The authors attempted to work around these limitations to identify those children's hospitals that were not freestanding but were located within general hospitals. They found that 36 general hospitals had patient volumes equivalent to freestanding children's hospitals, whereas 20 freestanding children's hospitals had very infrequent admissions for the most common discharge diagnoses. The authors are almost certainly correct in deeming the latter 20 hospitals to be subspecialty children's hospitals, such as those focused solely on orthopedic or oncologic conditions. Among the 36 high‐volume general hospitals, the authors found that patient complexity and severity was more similar to freestanding children's hospitals than to the low‐volume general hospitals. Length of stay (and therefore presumably costs as well) for high‐volume general hospitals was positioned between freestanding children's hospitals and low‐volume general hospitals.
Who are those high‐volume hospitals that appear to be general in name only? Because of KID's deidentification of hospitals, we do not know. It is possible that those hospitals self‐identify as being children's hospitals, but are not freestanding, meaning that they are located within a general hospital (hospitals within a hospital). If they are children's hospitals within general hospitals, it would provide a different perspective to the study's overall finding that 71% of hospitalizations, 64% of hospital days, and 50% of costs occur at general hospitals. As the authors allude to, some institutions may not call themselves freestanding children's hospitals but function that way; other institutions call themselves freestanding children's hospitals but offer very focused specialty services. Through this limitation in the KID database, the authors began the process of identifying hospitals that look like freestanding children's hospitals but are not called that. In other words, they began creating a more robust functional definition of which institutions are truly children's hospitals. Volume does not, of course, always equate into specialization, and much work needs to be done measuring the availability of subspecialty and critical care services before any functional definition of children's hospital can be made; the potential, however, is intriguing.
Does it matter which hospitals are deemed children's hospitals? Although a hospitalist may not place importance on the name over the hospital's entrance, the Centers for Medicare and Medicaid Services (CMS) and state insurance regulators may find the difference extremely important. CMS and state insurance regulators are increasingly focusing their attention on the adequacy of pediatric insurance networks.[3, 4, 5, 6] They are seeking to create rules that ensure health insurance plans have a broad range of pediatric subspecialists in close proximity to the great majority of children insured by the plan. For adult insurance, the adequacy of a plan's network is typically defined by the time and distance from a patient's home to a specialist. However, unlike in adult medicine, pediatric subspecialty care is becoming increasingly regionalized at academic medical centers, especially children's hospitals. Furthermore, unlike adult care, a wide range of pediatric subspecialists is unlikely to be found at the hospital closest to a patient's home. Therefore, time and distance rules for ensuring network adequacy may fail within pediatric care. Instead, inclusion of a hospital designatedby functional or other criteriaas a children's hospital may be the best way to ensure the adequate provision of pediatric specialty care within a network.
How policymakers define pediatric network adequacy will have important implications for ensuring that pediatric inpatient medicine achieves the goal of the right patient, the right place, the right time. Therefore, the attending from our residency may have been correct that most children are not hospitalized at children's hospitals. However, depending on how pediatric network adequacy rules are developed, that may not have to mean that these children (and their pediatricians) will be out there alone.
Disclosure
Nothing to report.
- Epidemiology of pediatric hospitalizations at general hospitals and freestanding children's hospitals in the United States. J Hosp Med. 2016;11(11):743–749. , , , , , .
- Hospitalizations of low‐income children and children with severe health conditions: implications of the Patient Protection and Affordable Care Act. JAMA Pediatr. 2016;170(2):176–178. , , , et al.
- Provider networks: comparison of child‐focused network adequacy standards between CHIP and private health plans. United States Government Accountability Office Report to the Ranking Member, Committee on Finance, United States Senate. Available at: http://www.gao.gov/assets/680/674999.pdf. Published February 2016. Accessed May 10, 2016. .
- Medicaid and CHIP Payment and Access Commission. March 2015 Report to Congress on Medicaid and CHIP. Available at: https://www.macpac.gov/wp‐content/uploads/2015/03/March‐2015‐Report‐to‐Congress‐on‐Medicaid‐and‐CHIP.pdf. Published March 2015. Accessed May 10, 2016.
- Insurance carriers and access to healthcare providers: network adequacy. National Conference of State Legislatures website. Available at: www.ncsl.org/research/health/insurance‐carriers‐and‐access‐to‐healthcare‐providers‐network‐adequacy.aspx. Published November 13, 2015. Accessed April 4, 2016. .
- Ensuring consumers' access to care: network adequacy state insurance survey findings and recommendations for regulatory reforms in a changing insurance market. Available at: http://www.naic.org/documents/committees_conliaison_network_adequacy_report.pdf. Published November 2014. Accessed May 10, 2016. , , , et al.
- Epidemiology of pediatric hospitalizations at general hospitals and freestanding children's hospitals in the United States. J Hosp Med. 2016;11(11):743–749. , , , , , .
- Hospitalizations of low‐income children and children with severe health conditions: implications of the Patient Protection and Affordable Care Act. JAMA Pediatr. 2016;170(2):176–178. , , , et al.
- Provider networks: comparison of child‐focused network adequacy standards between CHIP and private health plans. United States Government Accountability Office Report to the Ranking Member, Committee on Finance, United States Senate. Available at: http://www.gao.gov/assets/680/674999.pdf. Published February 2016. Accessed May 10, 2016. .
- Medicaid and CHIP Payment and Access Commission. March 2015 Report to Congress on Medicaid and CHIP. Available at: https://www.macpac.gov/wp‐content/uploads/2015/03/March‐2015‐Report‐to‐Congress‐on‐Medicaid‐and‐CHIP.pdf. Published March 2015. Accessed May 10, 2016.
- Insurance carriers and access to healthcare providers: network adequacy. National Conference of State Legislatures website. Available at: www.ncsl.org/research/health/insurance‐carriers‐and‐access‐to‐healthcare‐providers‐network‐adequacy.aspx. Published November 13, 2015. Accessed April 4, 2016. .
- Ensuring consumers' access to care: network adequacy state insurance survey findings and recommendations for regulatory reforms in a changing insurance market. Available at: http://www.naic.org/documents/committees_conliaison_network_adequacy_report.pdf. Published November 2014. Accessed May 10, 2016. , , , et al.
Pediatric Hospitalization Epidemiology
Improvement in the quality of hospital care in the United States is a national priority, both to advance patient safety and because our expenditures exceed any other nation's, but our health outcomes lag behind.[1, 2] Healthcare spending for children is growing at a faster rate than any other age group, with hospital care accounting for more than 40% of pediatric healthcare expenditures.[3] Inpatient healthcare comprises a greater proportion of healthcare costs for children than for adults, yet we have limited knowledge about where this care is provided.[4]
There is substantial variability in the settings in which children are hospitalized. Children may be hospitalized in freestanding children's hospitals, where all services are designed for children and which operate independently of adult‐focused institutions. They may also be hospitalized in general hospitals where care may be provided in a general inpatient bed, on a dedicated pediatric ward, or in a children's hospital nested within a hospital, which may have specialized nursing and physician care but often shares other resources such as laboratory and radiology with the primarily adult‐focused institution. Medical students and residents may be trained in all of these settings. We know little about how these hospital types differ with respect to patient populations, disease volumes, and resource utilization, and this knowledge is important to inform clinical programs, implementation research, and quality improvement (QI) priorities. To this end, we aimed to describe the volume and characteristics of pediatric hospitalizations at acute care general hospitals and freestanding children's hospitals in the United States.
METHODS
Study Design and Eligibility
The data source for this analysis was the Healthcare Cost and Utilization Project's (HCUP) 2012 Kids' Inpatient Database (KID). We conducted a cross‐sectional study of hospitalizations in children and adolescents less than 18 years of age, excluding in‐hospital births and hospitalizations for pregnancy and delivery (identified using All Patient Refined‐Diagnostic Related Groups [APR‐DRGs]).[5] Neonatal hospitalizations not representing in‐hospital births but resulting from transfers or new admissions were retained. Because the dataset does not contain identifiable information, the institutional review board at Baystate Medical Center determined that our study did not constitute human subjects research.
The KID is released every 3 years and is the only publicly available, nationally representative database developed to study pediatric hospitalizations, including an 80% sample of noninborn pediatric discharges from all community, nonrehabilitation hospitals from 44 participating states.[6] Short‐term rehabilitation hospitals, long‐term nonacute care hospitals, psychiatric hospitals, and alcoholism/chemical dependency treatment facilities are excluded. The KID contains information on all patients, regardless of payer, and provides discharge weights to calculate national estimates.[6] It contains both hospital‐level and patient‐level variables, including demographic characteristics, charges, and other clinical and resource use data available from discharge abstracts. Beginning in 2012, freestanding children's hospitals (FCHs) are assigned to a separate stratum in the KID, with data from the Children's Hospital Association used by HCUP to verify the American Hospital Association's (AHA) list of FCHs.[6] Hospitals that are not FCHs were categorized as general hospitals (GHs). We were interested in examining patterns of care at acute care hospitals and not specialty hospitals; unlike previous years, the KID 2012 does not include a specialty hospital identifier.[6] Therefore, as a proxy for specialty hospital status, we excluded hospitals that had 2% hospitalizations for 12 common medical conditions (pneumonia, asthma, bronchiolitis, cellulitis, dehydration, urinary tract infection, neonatal hyperbilirubinemia, fever, upper respiratory infection, infectious gastroenteritis, unspecified viral infection, and croup). These medical conditions were the 12 most common reasons for medical hospitalizations identified using Keren's pediatric diagnosis code grouper,[7] excluding chronic diseases, and represented 26.2% of all pediatric hospitalizations. This 2% threshold was developed empirically, based on visual analysis of the distribution of cases across hospitals and was limited to hospitals with total pediatric volumes >25/year, allowing for stable case‐mix estimates.
Descriptor Variables
Hospital level characteristics included US Census region; teaching status classified in the KID based on results of the AHA Annual Survey; urban/rural location; hospital ownership, classified as public, private nonprofit and private investor‐owned; and total volume of pediatric hospitalizations, in deciles.[6] At the patient level, we examined age, gender, race/ethnicity, expected primary payer, and median household income (in quartiles) for patient's zip code. Medical complexity was categorized as (1) nonchronic disease, (2) complex chronic disease, or (3) noncomplex chronic disease, using the previously validated Pediatric Medical Complexity Algorithm (PMCA) based on International Classification of Diseases, 9th Revision, Clinical Modification (ICD‐9‐CM) codes.[8] Disease severity was classified based on APR‐DRG severity of illness coding, which classifies illnesses severity as minor, moderate, major, or extreme.[9]
We examined the following characteristics of the hospitalizations: (1) length of hospital stay (LOS) measured in calendar days; (2) high‐turnover hospitalization defined as LOS less than 2 days[10, 11, 12]; (3) long LOS, defined as greater than 4 days, equivalent to LOS greater than the 75th percentile; (4) neonatal versus non‐neonatal hospitalization, identified using APR‐DRGs; (5) admission type categorized as elective and nonelective; (6) admission source, categorized as transfer from another acute care hospital, admission from the emergency department, or direct admission; (7) discharge status, categorized as routine discharge, transfer to another hospital or healthcare facility, and discharge against medical advice; and (8) total hospital costs, calculated by applying the cost‐to‐charge ratios available in the KID to total hospital charges.
Reasons for hospitalization were categorized using the pediatric diagnosis code grouper by Keren, which uses ICD‐9‐CM codes to group common and costly principal diagnoses into distinct conditions (eg, pneumonia, idiopathic scoliosis), excluding children who have ICD‐9‐CM principal procedure codes unlikely related to their principal diagnosis (for example, appendectomy for a child with a principal diagnosis of pneumonia).[7] This pediatric grouper classifies diagnoses as medical, surgical, or medical‐surgical based on whether <20% (medical), >80% (surgical) or between 20% and 80% (medical‐surgical) of encounters for the condition had an ICD‐9‐CM principal procedure code for a surgery related to that condition. We further characterized medical hospitalizations as either medical or mental health hospitalizations.
Statistical Analysis
We categorized each discharge record as a hospitalization at a GH or an FCH. We then calculated patient‐level summary statistics, applying weights to calculate national estimates with an associated standard deviation (SD). We assessed differences in characteristics of hospitalizations at GHs and FCHs using Rao‐Scott 2 tests for categorical variables and Wald F tests for continuous variables.[6] We identified the most common reasons for hospitalization, including those responsible for at least 2% of all medical or surgical hospitalizations and at least 0.5% of medical hospitalizations for mental health diagnoses, given the lower prevalence of these conditions and our desire to include mental health diagnoses in our analysis. For these common conditions, we calculated the proportion of condition‐specific hospitalizations and aggregate hospital costs at GHs and FCHs. We also determined the number of hospitalizations at each hospital and calculated the median and interquartile range for the number of hospitalizations for each of these conditions according to hospital type, assessing for differences using Kruskal‐Wallis tests. Finally, we identified the most common and costly conditions at GHs and FCHs by ranking frequency and aggregate costs for each condition according to hospital type, limited to the 20 most costly and/or prevalent pediatric diagnoses. Because we used a novel method to identify specialty hospitals in this dataset, we repeated these analyses using all hospitals classified as a GH and FCH as a sensitivity analysis.
RESULTS
Overall, 3866 hospitals were categorized as a GH, whereas 70 hospitals were categorized as FCHs. Following exclusion of specialty hospitals, 3758 GHs and 50 FCHs were retained in this study. The geographic distribution of hospitals was similar, but although GHs included those in both urban and rural regions, all FCHs were located in urban regions (Table 1).
General Hospitals, n = 3,758 | Children's Hospitals, n = 50 | ||||
---|---|---|---|---|---|
Hospital characteristics | n | % | n | % | P Value |
| |||||
Geographic region | |||||
Northeast | 458 | 12.2 | 4 | 8.0 | 0.50 |
Midwest | 1,209 | 32.2 | 15 | 30.0 | |
South | 1,335 | 35.6 | 17 | 34.0 | |
West | 753 | 20.1 | 14 | 28.0 | |
Location and teaching status | |||||
Rural | 1,524 | 40.6 | 0 | 0 | <0.0001 |
Urban nonteaching | 1,506 | 40.1 | 7 | 14.0 | |
Urban teaching | 725 | 19.3 | 43 | 86.0 | |
Hospital ownership | |||||
Government, nonfederal | 741 | 19.7 | 0 | 0 | <0.0001 |
Private, nonprofit | 2,364 | 63.0 | 48 | 96.0 | |
Private, investor‐owned | 650 | 17.3 | 2 | 4.0 | |
Volume of pediatric hospitalizations (deciles) | |||||
<185 hospitalizations/year (<8th decile) | 2,664 | 71.0 | 0 | 0 | <0.0001 |
186375 hospitalizations/year (8th decile) | 378 | 10.1 | 2 | 4.0 | |
376996 hospitalizations/year (9th decile) | 380 | 10.1 | 1 | 2.0 | |
>986 hospitalizations/year (10th decile) | 333 | 8.9 | 47 | 94.0 | |
Volume of pediatric hospitalizations, median [IQR] | 56 | [14240] | 12,001 | [5,83815,448] | <0.0001 |
A total of 1,407,822 (SD 50,456) hospitalizations occurred at GHs, representing 71.7% of pediatric hospitalizations, whereas 554,458 (SD 45,046) hospitalizations occurred at FCHs. Hospitalizations at GHs accounted for 63.6% of days in hospital and 50.0% of pediatric inpatient healthcare costs. Eighty percent of the GHs had total pediatric patient volumes of less than 375 hospitalizations yearly; 11.1% of pediatric hospitalizations occurred at these lower‐volume centers. At FCHs, the median volume of pediatric hospitalizations was 12,001 (interquartile range [IQR]: 583815,448). A total of 36 GHs had pediatric hospitalization volumes in this IQR.
The median age for pediatric patients was slightly higher at GHs, whereas gender, race/ethnicity, primary payer, and median household income for zip code did not differ significantly between hospital types (Table 2). Medical complexity differed between hospital types: children with complex chronic diseases represented 20.2% of hospitalizations at GHs and 35.6% of hospitalizations at FCHs. Severity of illness differed between hospital types, with fewer hospitalizations categorized at the highest level of severity at GHs than FCHs. There were no significant differences between hospital types with respect to the proportion of hospitalizations categorized as neonatal hospitalizations or as elective hospitalizations. The median LOS was shorter at GHs than FCHs. Approximately 1 in 5 children hospitalized at GHs had LOS greater than 4 days, whereas almost 30% of children hospitalized at FCHs had LOS of this duration.
Patient Characteristics |
General Hospitals,1,407,822 (50,456), 71.7% |
Children's Hospitals,554,458 (45,046), 28.3% |
P Value | ||||
---|---|---|---|---|---|---|---|
n | (SD Weighted Frequency) | (%) | n | (SD Weighted Frequency) | % | ||
| |||||||
Age, y, median [IQR] | 3.6 [011.7] | 3.4 [010.8] | 0.001 | ||||
Gender (% female) | 644,250 | (23,089) | 45.8 | 254,505 | (20,688) | 45.9 | 0.50 |
Race* | |||||||
White | 668,876 | (27,741) | 47.5 | 233,930 | (26,349) | 42.2 | 0.05 |
Black | 231,586 | (12,890) | 16.5 | 80,568 | (11,739) | 14.5 | |
Hispanic | 279,021 | (16,843) | 19.8 | 12,1425 | (21,183) | 21.9 | |
Other | 133,062 | (8,572) | 9.5 | 41,190 | (6,394) | 7.4 | |
Insurance status | |||||||
Public | 740,033 | (28,675) | 52.6 | 284,795 | (25,324) | 51.4 | 0.90 |
Private | 563,562 | (21,930) | 40.0 | 224,042 | (21,613) | 40.4 | |
Uninsured | 37,265 | (1,445) | 2.7 | 16,355 | (3,804) | 3.0 | |
No charge/other/unknown | 66,962 | (5,807) | 4.8 | 29,266 | (6,789) | 5.3 | |
Median household income for zip code, quartiles | |||||||
<$38,999 | 457,139 | (19,725) | 33.3 | 164,831 | (17,016) | 30.1 | 0.07 |
$39,000$47,999 | 347,229 | (14,104) | 25.3 | 125,105 | (10,712) | 22.9 | |
$48,000$62,999 | 304,795 | (13,427) | 22.2 | 134,915 | (13,999) | 24.7 | |
>$63,000 | 263,171 | (15,418) | 19.2 | 122,164 | (16,279) | 22.3 | |
Medical complexity | |||||||
Nonchronic disease | 717,009 | (21,807) | 50.9 | 211,089 | (17,023) | 38.1 | <0.001 |
Noncomplex chronic disease | 406,070 | (14,951) | 28.8 | 146,077 | (12,442) | 26.4 | |
Complex chronic disease | 284,742 | (17,111) | 20.2 | 197,292 | (18,236) | 35.6 | |
APR‐DRG severity of illness | |||||||
1 (lowest severity) | 730,134 | (23,162) | 51.9 | 217,202 | (18,433) | 39.2 | <0.001 |
2 | 486,748 | (18,395) | 34.6 | 202,931 | (16,864) | 36.6 | |
3 | 146,921 | (8,432) | 10.4 | 100,566 | (9,041) | 18.1 | |
4 (highest severity) | 41,749 | (3,002) | 3.0 | 33,340 | (3,199) | 6.0 | |
Hospitalization characteristics | |||||||
Neonatal hospitalization | 98,512 | (3,336) | 7.0 | 39,584 | (4,274) | 7.1 | 0.84 |
Admission type | |||||||
Elective | 255,774 | (12,285) | 18.3 | 109,854 | (13,061) | 19.8 | 0.05 |
Length of stay, d, (median [IQR]) | 1.8 (0.01) [0.8‐3.6] | 2.2 (0.06) [1.1‐4.7] | <0.001 | ||||
High turnover hospitalizations | 416,790 | (14,995) | 29.6 | 130,441 | (12,405) | 23.5 | <0.001 |
Length of stay >4 days | 298,315 | (14,421) | 21.2 | 161,804 | (14,354) | 29.2 | <0.001 |
Admission source | |||||||
Transfer from another acute care hospital | 154,058 | (10,067) | 10.9 | 82,118 | (8,952) | 14.8 | 0.05 |
Direct admission | 550,123 | (21,954) | 39.1 | 211,117 | (20,203) | 38.1 | |
Admission from ED | 703,641 | (26,155) | 50.0 | 261,223 | (28,708) | 47.1 | |
Discharge status | |||||||
Routine | 1,296,638 | (46,012) | 92.1 | 519,785 | (42,613) | 93.8 | <0.01 |
Transfer to another hospital or healthcare facility | 56,115 | (1,922) | 4.0 | 13,035 | (1,437) | 2.4 | |
Discharge against medical advice | 2,792 | (181) | 0.2 | 382 | (70) | 0.1 | |
Other | 52,276 | (4,223) | 3.7 | 21,256 | (4,501) | 3.8 |
The most common pediatric medical, mental health, and surgical conditions are shown in Figure 1, together representing 32% of pediatric hospitalizations during the study period. For these medical conditions, 77.9% of hospitalizations occurred at GHs, ranging from 52.6% of chemotherapy hospitalizations to 89.0% of hospitalizations for neonatal hyperbilirubinemia. Sixty‐two percent of total hospital costs for these conditions were incurred at GHs. For the common mental health hospitalizations, 86% of hospitalizations occurred at GHs. The majority of hospitalizations and aggregate hospital costs for common surgical conditions also occurred at GHs.

Whereas pneumonia, asthma, and bronchiolitis were the most common reasons for hospitalization at both GHs and FCHs, the most costly conditions differed (see Supporting Table 1 in the online version of this article). At GHs, these respiratory diseases were responsible for the highest condition‐specific total hospital costs. At FCHs, the highest aggregate costs were due to respiratory distress syndrome and chemotherapy. Congenital heart diseases, including hypoplastic left heart syndrome, transposition of the great vessels, tetralogy of Fallot, endocardial cushion defects, coarctation of the aorta and ventricular septal defects accounted for 6 of the 20 most costly conditions at FCHs.
Figure 2 illustrates the volume of hospitalizations, per hospital, at GHs and FCHs for the most common medical hospitalizations. The median number of hospitalizations, per hospital, was consistently significantly lower at GHs than at FCHs (all P values <0.001). Similar results for surgical and mental health hospitalizations are shown as Supporting Figures 1 and 2 in the online version of this article. In our sensitivity analyses that included all hospitals classified as GH and FCH, all results were essentially unchanged.

Recognizing the wide range of pediatric volumes at GHs (Table 1) and our inability to differentiate children's hospitals nested within GHs from GHs with pediatric beds, we examined differences in patient and hospitalization characteristics at GHs with volumes 5838 hospitalizations (the 25th percentile for FCH volume) and GHs with pediatric volumes <5838/year (see Supporting Table 2 in the online version of this article). We also compared patient and hospitalization characteristics at FCHs and the higher‐volume GHs. A total of 36 GHs had pediatric volumes 5838, with hospitalizations at these sites together accounting for 15.4% of all pediatric hospitalizations. Characteristics of patients hospitalized at these higher‐volume GHs were similar to patients hospitalized at FCHs, but they had significantly lower disease severity, fewer neonatal hospitalizations, shorter LOS, and more high‐turnover hospitalizations than patients hospitalized at FCHs. We also observed several differences between children hospitalized at higher‐ and lower‐volume GHs (see Supporting Table 2 in the online version of this article). Children hospitalized at the lower‐volume GHs were more likely to have public health insurance and less likely to have complex chronic diseases, although overall, 39.0% of all hospitalizations for children with complex chronic diseases occurred at these lower‐volume GHs. Compared to children hospitalized at higher‐volume GHs, children hospitalized at the lower‐volume hospitals had significantly lower disease severity, shorter LOS, more direct admissions, and a greater proportion of routine discharges.
DISCUSSION
Of the 2 million pediatric hospitalizations in the United States in 2012, more than 70% occurred at GHs. We observed considerable heterogeneity in pediatric volumes across GHs, with 11% of pediatric hospitalizations occurring at hospitals with pediatric volumes of <375 hospitalizations annually, whereas 15% of pediatric hospitalizations occurred at GHs with volumes similar to those observed at FCHs. The remaining pediatric hospitalizations at GHs occurred at centers with intermediate volumes. The most common reasons for hospitalization were similar at GHs and FCHs, but the most costly conditions differed substantially. These findings have important implications for pediatric clinical care programs, research, and QI efforts.
Our finding that more than 70% of pediatric hospitalizations occurred at GHs speaks to the importance of quality measurement at these hospitals, whereas low per‐hospital pediatric volumes at the majority of GHs makes such measurement particularly challenging. Several previous studies have illustrated that volumes of pediatric hospitalizations are too small to detect meaningful differences in quality between hospitals using established condition‐specific metrics.[13, 14, 15] Our finding that more than 10% of pediatric hospitalizations occurred at GHs with pediatric volumes <375 year supports previous research suggesting that cross‐cutting, all‐condition quality metrics, composite measures, and/or multihospital reporting networks may be needed to enable quality measurement at these sites. In addition, the heterogeneity in patient volumes and characteristics across GHs raise questions about the applicability of quality metrics developed and validated at FCHs to the many GH settings. Field‐testing quality measures to ensure their validity at diverse GHs, particularly those with patient volumes and infrastructure different from FCHs, will be important to meaningful pediatric quality measurement.
Our results illustrating differences in the most common and costly conditions at GHs and FCHs have further implications for prioritization and implementation of research and QI efforts. Implementation research and QI efforts focused on cardiac and neurosurgical procedures, as well as neonatal intensive care, may have considerable impact on cost and quality at FCHs. At GHs, research and QI efforts focused on common conditions are needed to increase our knowledge of contextually relevant barriers to and facilitators of high‐quality pediatric care. This, however, can be made more difficult by small sample sizes, limited resources, and infrastructure, and competing priorities in adult‐focused GH settings.[16, 17, 18] Multihospital learning collaboratives and partnerships between FCHs and GHs can begin to address these challenges, but their success is contingent upon national advocacy and funding to support pediatric research and quality measures at GHs.
One of the most notable differences in the characteristics of pediatric hospitalizations at GHs and FCHs was the proportion of hospitalizations attributable to children with medical complexity (CMC); more than one‐third of hospitalizations at FCHs were for CMC compared to 1 in 5 at GHs. These findings align with the results of several previous studies describing the substantial resource utilization attributed to CMC, and with growing research, innovation, and quality metrics focused on improving both inpatient and outpatient care for these vulnerable children.[19, 20, 21, 22] Structured complex care programs, developed to improve care coordination and healthcare quality for CMC, are common at FCHs, and have been associated with decreased resource utilization and improved outcomes.[23, 24, 25] Notably, however, more than half of all hospitalizations for CMC, exceeding 250,000 annually, occurred at GHs, and almost 40% of hospitalizations for CMC occurred at the lower‐volume GHs. These findings speak to the importance of translating effective and innovative programs of care for CMC to GHs as resources allow, accompanied by robust evaluations of their effectiveness. Lower patient volume at most GHs, however, may be a barrier to dedicated CMC programs. As a result, decentralized community‐based programs of care for CMC, linking primary care programs with regional and tertiary care hospitals, warrant further consideration.[26, 27, 28]
This analysis should be interpreted in light of several limitations. First, we were unable to distinguish between GHs with scant pediatric‐specific resources from those with a large volume of dedicated pediatric resources, such as children's hospitals nested within GHs. We did identify 36 GHs with pediatric volumes similar to those observed at FCHs (see Supporting Table 2 in the online version of this article); patient and hospitalization characteristics at these higher‐volume GHs were similar in many ways to children hospitalized at FCHs. Several of these higher‐volume GHs may have considerable resources dedicated to the care of children, including subspecialty care, and may represent children's hospitals nested within GHs. Because nested children's hospitals are included in the GH categorization, our results may have underestimated the proportion of children cared for at children's hospitals. Further work is needed to identify the health systems challenges and opportunities that may be unique to these institutions. Second, because the 2012 KID does not include a specialty hospital indicator, we developed a proxy method for identifying these hospitals, which may have resulted in some misclassification. We are reassured that the results of our analyses did not change substantively when we included all hospitals. Similarly, although we are reassured that the number of hospitals classified in our analysis as acute care FCHs aligns, approximately, with the number of hospitals classified as such by the Children's Hospital Association, we were unable to assess the validity of this variable within the KID. Third, the KID does not link records at the patient level, so we are unable to report the number of unique children included in this analysis. In addition, the KID includes only inpatient stays with exclusion of observation status stays; potential differences between GH and FCH in the use of observation status could have biased our findings. Fifth, we used the PMCA to identify CMC; although this algorithm has been shown to have excellent sensitivity in identifying children with chronic diseases, using up to 3 years of Medicaid claims data, the sensitivity using the KID, where only 1 inpatient stay is available for assessment, is unknown.[8, 29] Similarly, use of Keren's pediatric diagnosis grouper to classify reasons for hospitalization may have resulted in misclassification, though there are few other nonproprietary pediatric‐specific diagnostic groupers available.
In 2012, more than 70% of pediatric hospitalizations occurred at GHs in the United States. The considerably higher pediatric volumes at FCHs makes these institutions well suited for research, innovation, and the development and application of disease‐specific QI initiatives. Recognizing that the majority of pediatric hospitalizations occurred at GHs, there is a clear need for implementation research, program development, and quality metrics that align with the characteristics of hospitalizations at these centers. National support for research and quality improvement that reflects the diverse hospital settings where children receive their hospital care is critical to further our nation's goal of improving hospital quality for children.
Disclosures
Dr. Leyenaar was supported by grant number K08HS024133 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. The authors have no conflicts of interest relevant to this article to disclose.
- Mirror, Mirror on the wall: how the performance of the US health care system compares internationally. The Commonwealth Fund. Available at: http://www.commonwealthfund.org/publications/fund‐reports/2014/jun/mirror‐mirror. Published June 16, 2014. Accessed August 26, 2015. , , , .
- Higher cost, but poorer outcomes: the US health disadvantage and implications for pediatrics. Pediatrics. 2015;135(6):961–964. , , , , , .
- US health spending trends by age and gender: selected years 2002–10. Health Aff (Millwood). 2014;33(5):815–822. , , , , .
- Costs for hospital stays in the United States, 2012. Healthcare Cost and Utilization Project 181. Available at: http://www.hcup‐us.ahrq.gov/reports/statbriefs/sb181‐Hospital‐Costs‐United‐States‐2012.pdf. Published October 2014. Accessed September 2015. , , .
- All Patient Refined Diagnosis Related Groups: Methodology Overview. 3M Health Information Systems. Available at: https://www.hcup‐us.ahrq.gov/db/nation/nis/APR‐DRGsV20MethodologyOverviewandBibliography.pdf. Accessed February 8, 2016. , , , et al.
- Agency for Healthcare Research and Quality. Healthcare Cost and Utilization Project. Introduction to the HCUP Kids' Inpatient Database (KID) 2012. Available at: https://www.hcup‐us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp. Published Issued July 2014. Accessed February 8, 2016.
- Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):1155. .
- Pediatric medical complexity algorithm: a new method to stratify children by medical complexity. Pediatrics. 2014;133(6):e1647–e1654. , , , et al.
- 3M APR DRG Classification System. 3M Health Information Systems. Available at: http://www.hcup‐us.ahrq.gov/db/nation/nis/v261_aprdrg_meth_ovrview.pdf. Accessed August 7, 2015. , , , et al.
- Trends in high‐turnover stays among children hospitalized in the United States, 1993–2003. Pediatrics. 2009;123(3):996–1002. , , , , , .
- High turnover stays for pediatric asthma in the United States. Med Care. 2010;48(9):827–833. , , , .
- Variation and outcomes associated with direct admission among children with pneumonia in the United States. JAMA Pediatr. 2014;168(9):829–836. , , , , .
- Recognizing differences in hospital quality performance for pediatric inpatient care. Pediatrics. 2015;136(2):251–262. , , , et al.
- Small numbers limit the use of the inpatient pediatric quality indicators for hospital comparison. Acad Pediatr. 2010;10(4):266–273. , , .
- Statistical uncertainty of mortality rates and rankings for children's hospitals. Pediatrics. 2011;128(4):e966–e972. , , , et al.
- Determinants of career satisfaction among pediatric hospitalists: a qualitative exploration. Acad Pediatr. 2014;14(4):361–368. , , , , .
- Quality improvement research in pediatric hospital medicine and the role of the Pediatric Research in Inpatient Settings (PRIS) network. Acad Pediatr. 2013;13(6 suppl):S54–S60. , , , et al.
- Roles for children's hospitals in pediatric collaborative improvement networks. Pediatrics. 2013;131(suppl 4):S215–S218. .
- Children with medical complexity: an emerging population for clinical and research initiatives. Pediatrics. 2011;127(3):529–538. , , , et al.
- Children with complex chronic conditions in inpatient hospital settings in the United States. Pediatrics. 2010;126(4):647–655. , , , et al.
- Patterns and costs of health care use of children with medical complexity. Pediatrics. 2012;130(6):e1463–e1470. , , , , , .
- Hospital utilization and characteristics of patients experiencing recurrent readmissions within children's hospitals. JAMA. 2011;305(7):682–690. , , , , , .
- Characteristics of hospitalizations for patients who use a structured clinical care program for children with medical complexity. J Pediatr. 2011;159(2):284–290. , , , et al.
- Hospital‐based comprehensive care programs for children with special health care needs: a systematic review. Arch Pediatr Adolesc Med. 2011;165(6):554–561. , , , .
- A tertiary care–primary care partnership model for medically complex and fragile children and youth with special health care needs. Arch Pediatr Adolesc Med. 2007;161(10):937–944. , , , , , .
- Integrated complex care coordination for children with medical complexity: a mixed‐methods evaluation of tertiary care‐community collaboration. BMC Health Serv Res. 2012;12:366. , , , et al.
- Medical transport of children with complex chronic conditions. Emerg Med Int. 2012;2012:837020. , , , .
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Improvement in the quality of hospital care in the United States is a national priority, both to advance patient safety and because our expenditures exceed any other nation's, but our health outcomes lag behind.[1, 2] Healthcare spending for children is growing at a faster rate than any other age group, with hospital care accounting for more than 40% of pediatric healthcare expenditures.[3] Inpatient healthcare comprises a greater proportion of healthcare costs for children than for adults, yet we have limited knowledge about where this care is provided.[4]
There is substantial variability in the settings in which children are hospitalized. Children may be hospitalized in freestanding children's hospitals, where all services are designed for children and which operate independently of adult‐focused institutions. They may also be hospitalized in general hospitals where care may be provided in a general inpatient bed, on a dedicated pediatric ward, or in a children's hospital nested within a hospital, which may have specialized nursing and physician care but often shares other resources such as laboratory and radiology with the primarily adult‐focused institution. Medical students and residents may be trained in all of these settings. We know little about how these hospital types differ with respect to patient populations, disease volumes, and resource utilization, and this knowledge is important to inform clinical programs, implementation research, and quality improvement (QI) priorities. To this end, we aimed to describe the volume and characteristics of pediatric hospitalizations at acute care general hospitals and freestanding children's hospitals in the United States.
METHODS
Study Design and Eligibility
The data source for this analysis was the Healthcare Cost and Utilization Project's (HCUP) 2012 Kids' Inpatient Database (KID). We conducted a cross‐sectional study of hospitalizations in children and adolescents less than 18 years of age, excluding in‐hospital births and hospitalizations for pregnancy and delivery (identified using All Patient Refined‐Diagnostic Related Groups [APR‐DRGs]).[5] Neonatal hospitalizations not representing in‐hospital births but resulting from transfers or new admissions were retained. Because the dataset does not contain identifiable information, the institutional review board at Baystate Medical Center determined that our study did not constitute human subjects research.
The KID is released every 3 years and is the only publicly available, nationally representative database developed to study pediatric hospitalizations, including an 80% sample of noninborn pediatric discharges from all community, nonrehabilitation hospitals from 44 participating states.[6] Short‐term rehabilitation hospitals, long‐term nonacute care hospitals, psychiatric hospitals, and alcoholism/chemical dependency treatment facilities are excluded. The KID contains information on all patients, regardless of payer, and provides discharge weights to calculate national estimates.[6] It contains both hospital‐level and patient‐level variables, including demographic characteristics, charges, and other clinical and resource use data available from discharge abstracts. Beginning in 2012, freestanding children's hospitals (FCHs) are assigned to a separate stratum in the KID, with data from the Children's Hospital Association used by HCUP to verify the American Hospital Association's (AHA) list of FCHs.[6] Hospitals that are not FCHs were categorized as general hospitals (GHs). We were interested in examining patterns of care at acute care hospitals and not specialty hospitals; unlike previous years, the KID 2012 does not include a specialty hospital identifier.[6] Therefore, as a proxy for specialty hospital status, we excluded hospitals that had 2% hospitalizations for 12 common medical conditions (pneumonia, asthma, bronchiolitis, cellulitis, dehydration, urinary tract infection, neonatal hyperbilirubinemia, fever, upper respiratory infection, infectious gastroenteritis, unspecified viral infection, and croup). These medical conditions were the 12 most common reasons for medical hospitalizations identified using Keren's pediatric diagnosis code grouper,[7] excluding chronic diseases, and represented 26.2% of all pediatric hospitalizations. This 2% threshold was developed empirically, based on visual analysis of the distribution of cases across hospitals and was limited to hospitals with total pediatric volumes >25/year, allowing for stable case‐mix estimates.
Descriptor Variables
Hospital level characteristics included US Census region; teaching status classified in the KID based on results of the AHA Annual Survey; urban/rural location; hospital ownership, classified as public, private nonprofit and private investor‐owned; and total volume of pediatric hospitalizations, in deciles.[6] At the patient level, we examined age, gender, race/ethnicity, expected primary payer, and median household income (in quartiles) for patient's zip code. Medical complexity was categorized as (1) nonchronic disease, (2) complex chronic disease, or (3) noncomplex chronic disease, using the previously validated Pediatric Medical Complexity Algorithm (PMCA) based on International Classification of Diseases, 9th Revision, Clinical Modification (ICD‐9‐CM) codes.[8] Disease severity was classified based on APR‐DRG severity of illness coding, which classifies illnesses severity as minor, moderate, major, or extreme.[9]
We examined the following characteristics of the hospitalizations: (1) length of hospital stay (LOS) measured in calendar days; (2) high‐turnover hospitalization defined as LOS less than 2 days[10, 11, 12]; (3) long LOS, defined as greater than 4 days, equivalent to LOS greater than the 75th percentile; (4) neonatal versus non‐neonatal hospitalization, identified using APR‐DRGs; (5) admission type categorized as elective and nonelective; (6) admission source, categorized as transfer from another acute care hospital, admission from the emergency department, or direct admission; (7) discharge status, categorized as routine discharge, transfer to another hospital or healthcare facility, and discharge against medical advice; and (8) total hospital costs, calculated by applying the cost‐to‐charge ratios available in the KID to total hospital charges.
Reasons for hospitalization were categorized using the pediatric diagnosis code grouper by Keren, which uses ICD‐9‐CM codes to group common and costly principal diagnoses into distinct conditions (eg, pneumonia, idiopathic scoliosis), excluding children who have ICD‐9‐CM principal procedure codes unlikely related to their principal diagnosis (for example, appendectomy for a child with a principal diagnosis of pneumonia).[7] This pediatric grouper classifies diagnoses as medical, surgical, or medical‐surgical based on whether <20% (medical), >80% (surgical) or between 20% and 80% (medical‐surgical) of encounters for the condition had an ICD‐9‐CM principal procedure code for a surgery related to that condition. We further characterized medical hospitalizations as either medical or mental health hospitalizations.
Statistical Analysis
We categorized each discharge record as a hospitalization at a GH or an FCH. We then calculated patient‐level summary statistics, applying weights to calculate national estimates with an associated standard deviation (SD). We assessed differences in characteristics of hospitalizations at GHs and FCHs using Rao‐Scott 2 tests for categorical variables and Wald F tests for continuous variables.[6] We identified the most common reasons for hospitalization, including those responsible for at least 2% of all medical or surgical hospitalizations and at least 0.5% of medical hospitalizations for mental health diagnoses, given the lower prevalence of these conditions and our desire to include mental health diagnoses in our analysis. For these common conditions, we calculated the proportion of condition‐specific hospitalizations and aggregate hospital costs at GHs and FCHs. We also determined the number of hospitalizations at each hospital and calculated the median and interquartile range for the number of hospitalizations for each of these conditions according to hospital type, assessing for differences using Kruskal‐Wallis tests. Finally, we identified the most common and costly conditions at GHs and FCHs by ranking frequency and aggregate costs for each condition according to hospital type, limited to the 20 most costly and/or prevalent pediatric diagnoses. Because we used a novel method to identify specialty hospitals in this dataset, we repeated these analyses using all hospitals classified as a GH and FCH as a sensitivity analysis.
RESULTS
Overall, 3866 hospitals were categorized as a GH, whereas 70 hospitals were categorized as FCHs. Following exclusion of specialty hospitals, 3758 GHs and 50 FCHs were retained in this study. The geographic distribution of hospitals was similar, but although GHs included those in both urban and rural regions, all FCHs were located in urban regions (Table 1).
General Hospitals, n = 3,758 | Children's Hospitals, n = 50 | ||||
---|---|---|---|---|---|
Hospital characteristics | n | % | n | % | P Value |
| |||||
Geographic region | |||||
Northeast | 458 | 12.2 | 4 | 8.0 | 0.50 |
Midwest | 1,209 | 32.2 | 15 | 30.0 | |
South | 1,335 | 35.6 | 17 | 34.0 | |
West | 753 | 20.1 | 14 | 28.0 | |
Location and teaching status | |||||
Rural | 1,524 | 40.6 | 0 | 0 | <0.0001 |
Urban nonteaching | 1,506 | 40.1 | 7 | 14.0 | |
Urban teaching | 725 | 19.3 | 43 | 86.0 | |
Hospital ownership | |||||
Government, nonfederal | 741 | 19.7 | 0 | 0 | <0.0001 |
Private, nonprofit | 2,364 | 63.0 | 48 | 96.0 | |
Private, investor‐owned | 650 | 17.3 | 2 | 4.0 | |
Volume of pediatric hospitalizations (deciles) | |||||
<185 hospitalizations/year (<8th decile) | 2,664 | 71.0 | 0 | 0 | <0.0001 |
186375 hospitalizations/year (8th decile) | 378 | 10.1 | 2 | 4.0 | |
376996 hospitalizations/year (9th decile) | 380 | 10.1 | 1 | 2.0 | |
>986 hospitalizations/year (10th decile) | 333 | 8.9 | 47 | 94.0 | |
Volume of pediatric hospitalizations, median [IQR] | 56 | [14240] | 12,001 | [5,83815,448] | <0.0001 |
A total of 1,407,822 (SD 50,456) hospitalizations occurred at GHs, representing 71.7% of pediatric hospitalizations, whereas 554,458 (SD 45,046) hospitalizations occurred at FCHs. Hospitalizations at GHs accounted for 63.6% of days in hospital and 50.0% of pediatric inpatient healthcare costs. Eighty percent of the GHs had total pediatric patient volumes of less than 375 hospitalizations yearly; 11.1% of pediatric hospitalizations occurred at these lower‐volume centers. At FCHs, the median volume of pediatric hospitalizations was 12,001 (interquartile range [IQR]: 583815,448). A total of 36 GHs had pediatric hospitalization volumes in this IQR.
The median age for pediatric patients was slightly higher at GHs, whereas gender, race/ethnicity, primary payer, and median household income for zip code did not differ significantly between hospital types (Table 2). Medical complexity differed between hospital types: children with complex chronic diseases represented 20.2% of hospitalizations at GHs and 35.6% of hospitalizations at FCHs. Severity of illness differed between hospital types, with fewer hospitalizations categorized at the highest level of severity at GHs than FCHs. There were no significant differences between hospital types with respect to the proportion of hospitalizations categorized as neonatal hospitalizations or as elective hospitalizations. The median LOS was shorter at GHs than FCHs. Approximately 1 in 5 children hospitalized at GHs had LOS greater than 4 days, whereas almost 30% of children hospitalized at FCHs had LOS of this duration.
Patient Characteristics |
General Hospitals,1,407,822 (50,456), 71.7% |
Children's Hospitals,554,458 (45,046), 28.3% |
P Value | ||||
---|---|---|---|---|---|---|---|
n | (SD Weighted Frequency) | (%) | n | (SD Weighted Frequency) | % | ||
| |||||||
Age, y, median [IQR] | 3.6 [011.7] | 3.4 [010.8] | 0.001 | ||||
Gender (% female) | 644,250 | (23,089) | 45.8 | 254,505 | (20,688) | 45.9 | 0.50 |
Race* | |||||||
White | 668,876 | (27,741) | 47.5 | 233,930 | (26,349) | 42.2 | 0.05 |
Black | 231,586 | (12,890) | 16.5 | 80,568 | (11,739) | 14.5 | |
Hispanic | 279,021 | (16,843) | 19.8 | 12,1425 | (21,183) | 21.9 | |
Other | 133,062 | (8,572) | 9.5 | 41,190 | (6,394) | 7.4 | |
Insurance status | |||||||
Public | 740,033 | (28,675) | 52.6 | 284,795 | (25,324) | 51.4 | 0.90 |
Private | 563,562 | (21,930) | 40.0 | 224,042 | (21,613) | 40.4 | |
Uninsured | 37,265 | (1,445) | 2.7 | 16,355 | (3,804) | 3.0 | |
No charge/other/unknown | 66,962 | (5,807) | 4.8 | 29,266 | (6,789) | 5.3 | |
Median household income for zip code, quartiles | |||||||
<$38,999 | 457,139 | (19,725) | 33.3 | 164,831 | (17,016) | 30.1 | 0.07 |
$39,000$47,999 | 347,229 | (14,104) | 25.3 | 125,105 | (10,712) | 22.9 | |
$48,000$62,999 | 304,795 | (13,427) | 22.2 | 134,915 | (13,999) | 24.7 | |
>$63,000 | 263,171 | (15,418) | 19.2 | 122,164 | (16,279) | 22.3 | |
Medical complexity | |||||||
Nonchronic disease | 717,009 | (21,807) | 50.9 | 211,089 | (17,023) | 38.1 | <0.001 |
Noncomplex chronic disease | 406,070 | (14,951) | 28.8 | 146,077 | (12,442) | 26.4 | |
Complex chronic disease | 284,742 | (17,111) | 20.2 | 197,292 | (18,236) | 35.6 | |
APR‐DRG severity of illness | |||||||
1 (lowest severity) | 730,134 | (23,162) | 51.9 | 217,202 | (18,433) | 39.2 | <0.001 |
2 | 486,748 | (18,395) | 34.6 | 202,931 | (16,864) | 36.6 | |
3 | 146,921 | (8,432) | 10.4 | 100,566 | (9,041) | 18.1 | |
4 (highest severity) | 41,749 | (3,002) | 3.0 | 33,340 | (3,199) | 6.0 | |
Hospitalization characteristics | |||||||
Neonatal hospitalization | 98,512 | (3,336) | 7.0 | 39,584 | (4,274) | 7.1 | 0.84 |
Admission type | |||||||
Elective | 255,774 | (12,285) | 18.3 | 109,854 | (13,061) | 19.8 | 0.05 |
Length of stay, d, (median [IQR]) | 1.8 (0.01) [0.8‐3.6] | 2.2 (0.06) [1.1‐4.7] | <0.001 | ||||
High turnover hospitalizations | 416,790 | (14,995) | 29.6 | 130,441 | (12,405) | 23.5 | <0.001 |
Length of stay >4 days | 298,315 | (14,421) | 21.2 | 161,804 | (14,354) | 29.2 | <0.001 |
Admission source | |||||||
Transfer from another acute care hospital | 154,058 | (10,067) | 10.9 | 82,118 | (8,952) | 14.8 | 0.05 |
Direct admission | 550,123 | (21,954) | 39.1 | 211,117 | (20,203) | 38.1 | |
Admission from ED | 703,641 | (26,155) | 50.0 | 261,223 | (28,708) | 47.1 | |
Discharge status | |||||||
Routine | 1,296,638 | (46,012) | 92.1 | 519,785 | (42,613) | 93.8 | <0.01 |
Transfer to another hospital or healthcare facility | 56,115 | (1,922) | 4.0 | 13,035 | (1,437) | 2.4 | |
Discharge against medical advice | 2,792 | (181) | 0.2 | 382 | (70) | 0.1 | |
Other | 52,276 | (4,223) | 3.7 | 21,256 | (4,501) | 3.8 |
The most common pediatric medical, mental health, and surgical conditions are shown in Figure 1, together representing 32% of pediatric hospitalizations during the study period. For these medical conditions, 77.9% of hospitalizations occurred at GHs, ranging from 52.6% of chemotherapy hospitalizations to 89.0% of hospitalizations for neonatal hyperbilirubinemia. Sixty‐two percent of total hospital costs for these conditions were incurred at GHs. For the common mental health hospitalizations, 86% of hospitalizations occurred at GHs. The majority of hospitalizations and aggregate hospital costs for common surgical conditions also occurred at GHs.

Whereas pneumonia, asthma, and bronchiolitis were the most common reasons for hospitalization at both GHs and FCHs, the most costly conditions differed (see Supporting Table 1 in the online version of this article). At GHs, these respiratory diseases were responsible for the highest condition‐specific total hospital costs. At FCHs, the highest aggregate costs were due to respiratory distress syndrome and chemotherapy. Congenital heart diseases, including hypoplastic left heart syndrome, transposition of the great vessels, tetralogy of Fallot, endocardial cushion defects, coarctation of the aorta and ventricular septal defects accounted for 6 of the 20 most costly conditions at FCHs.
Figure 2 illustrates the volume of hospitalizations, per hospital, at GHs and FCHs for the most common medical hospitalizations. The median number of hospitalizations, per hospital, was consistently significantly lower at GHs than at FCHs (all P values <0.001). Similar results for surgical and mental health hospitalizations are shown as Supporting Figures 1 and 2 in the online version of this article. In our sensitivity analyses that included all hospitals classified as GH and FCH, all results were essentially unchanged.

Recognizing the wide range of pediatric volumes at GHs (Table 1) and our inability to differentiate children's hospitals nested within GHs from GHs with pediatric beds, we examined differences in patient and hospitalization characteristics at GHs with volumes 5838 hospitalizations (the 25th percentile for FCH volume) and GHs with pediatric volumes <5838/year (see Supporting Table 2 in the online version of this article). We also compared patient and hospitalization characteristics at FCHs and the higher‐volume GHs. A total of 36 GHs had pediatric volumes 5838, with hospitalizations at these sites together accounting for 15.4% of all pediatric hospitalizations. Characteristics of patients hospitalized at these higher‐volume GHs were similar to patients hospitalized at FCHs, but they had significantly lower disease severity, fewer neonatal hospitalizations, shorter LOS, and more high‐turnover hospitalizations than patients hospitalized at FCHs. We also observed several differences between children hospitalized at higher‐ and lower‐volume GHs (see Supporting Table 2 in the online version of this article). Children hospitalized at the lower‐volume GHs were more likely to have public health insurance and less likely to have complex chronic diseases, although overall, 39.0% of all hospitalizations for children with complex chronic diseases occurred at these lower‐volume GHs. Compared to children hospitalized at higher‐volume GHs, children hospitalized at the lower‐volume hospitals had significantly lower disease severity, shorter LOS, more direct admissions, and a greater proportion of routine discharges.
DISCUSSION
Of the 2 million pediatric hospitalizations in the United States in 2012, more than 70% occurred at GHs. We observed considerable heterogeneity in pediatric volumes across GHs, with 11% of pediatric hospitalizations occurring at hospitals with pediatric volumes of <375 hospitalizations annually, whereas 15% of pediatric hospitalizations occurred at GHs with volumes similar to those observed at FCHs. The remaining pediatric hospitalizations at GHs occurred at centers with intermediate volumes. The most common reasons for hospitalization were similar at GHs and FCHs, but the most costly conditions differed substantially. These findings have important implications for pediatric clinical care programs, research, and QI efforts.
Our finding that more than 70% of pediatric hospitalizations occurred at GHs speaks to the importance of quality measurement at these hospitals, whereas low per‐hospital pediatric volumes at the majority of GHs makes such measurement particularly challenging. Several previous studies have illustrated that volumes of pediatric hospitalizations are too small to detect meaningful differences in quality between hospitals using established condition‐specific metrics.[13, 14, 15] Our finding that more than 10% of pediatric hospitalizations occurred at GHs with pediatric volumes <375 year supports previous research suggesting that cross‐cutting, all‐condition quality metrics, composite measures, and/or multihospital reporting networks may be needed to enable quality measurement at these sites. In addition, the heterogeneity in patient volumes and characteristics across GHs raise questions about the applicability of quality metrics developed and validated at FCHs to the many GH settings. Field‐testing quality measures to ensure their validity at diverse GHs, particularly those with patient volumes and infrastructure different from FCHs, will be important to meaningful pediatric quality measurement.
Our results illustrating differences in the most common and costly conditions at GHs and FCHs have further implications for prioritization and implementation of research and QI efforts. Implementation research and QI efforts focused on cardiac and neurosurgical procedures, as well as neonatal intensive care, may have considerable impact on cost and quality at FCHs. At GHs, research and QI efforts focused on common conditions are needed to increase our knowledge of contextually relevant barriers to and facilitators of high‐quality pediatric care. This, however, can be made more difficult by small sample sizes, limited resources, and infrastructure, and competing priorities in adult‐focused GH settings.[16, 17, 18] Multihospital learning collaboratives and partnerships between FCHs and GHs can begin to address these challenges, but their success is contingent upon national advocacy and funding to support pediatric research and quality measures at GHs.
One of the most notable differences in the characteristics of pediatric hospitalizations at GHs and FCHs was the proportion of hospitalizations attributable to children with medical complexity (CMC); more than one‐third of hospitalizations at FCHs were for CMC compared to 1 in 5 at GHs. These findings align with the results of several previous studies describing the substantial resource utilization attributed to CMC, and with growing research, innovation, and quality metrics focused on improving both inpatient and outpatient care for these vulnerable children.[19, 20, 21, 22] Structured complex care programs, developed to improve care coordination and healthcare quality for CMC, are common at FCHs, and have been associated with decreased resource utilization and improved outcomes.[23, 24, 25] Notably, however, more than half of all hospitalizations for CMC, exceeding 250,000 annually, occurred at GHs, and almost 40% of hospitalizations for CMC occurred at the lower‐volume GHs. These findings speak to the importance of translating effective and innovative programs of care for CMC to GHs as resources allow, accompanied by robust evaluations of their effectiveness. Lower patient volume at most GHs, however, may be a barrier to dedicated CMC programs. As a result, decentralized community‐based programs of care for CMC, linking primary care programs with regional and tertiary care hospitals, warrant further consideration.[26, 27, 28]
This analysis should be interpreted in light of several limitations. First, we were unable to distinguish between GHs with scant pediatric‐specific resources from those with a large volume of dedicated pediatric resources, such as children's hospitals nested within GHs. We did identify 36 GHs with pediatric volumes similar to those observed at FCHs (see Supporting Table 2 in the online version of this article); patient and hospitalization characteristics at these higher‐volume GHs were similar in many ways to children hospitalized at FCHs. Several of these higher‐volume GHs may have considerable resources dedicated to the care of children, including subspecialty care, and may represent children's hospitals nested within GHs. Because nested children's hospitals are included in the GH categorization, our results may have underestimated the proportion of children cared for at children's hospitals. Further work is needed to identify the health systems challenges and opportunities that may be unique to these institutions. Second, because the 2012 KID does not include a specialty hospital indicator, we developed a proxy method for identifying these hospitals, which may have resulted in some misclassification. We are reassured that the results of our analyses did not change substantively when we included all hospitals. Similarly, although we are reassured that the number of hospitals classified in our analysis as acute care FCHs aligns, approximately, with the number of hospitals classified as such by the Children's Hospital Association, we were unable to assess the validity of this variable within the KID. Third, the KID does not link records at the patient level, so we are unable to report the number of unique children included in this analysis. In addition, the KID includes only inpatient stays with exclusion of observation status stays; potential differences between GH and FCH in the use of observation status could have biased our findings. Fifth, we used the PMCA to identify CMC; although this algorithm has been shown to have excellent sensitivity in identifying children with chronic diseases, using up to 3 years of Medicaid claims data, the sensitivity using the KID, where only 1 inpatient stay is available for assessment, is unknown.[8, 29] Similarly, use of Keren's pediatric diagnosis grouper to classify reasons for hospitalization may have resulted in misclassification, though there are few other nonproprietary pediatric‐specific diagnostic groupers available.
In 2012, more than 70% of pediatric hospitalizations occurred at GHs in the United States. The considerably higher pediatric volumes at FCHs makes these institutions well suited for research, innovation, and the development and application of disease‐specific QI initiatives. Recognizing that the majority of pediatric hospitalizations occurred at GHs, there is a clear need for implementation research, program development, and quality metrics that align with the characteristics of hospitalizations at these centers. National support for research and quality improvement that reflects the diverse hospital settings where children receive their hospital care is critical to further our nation's goal of improving hospital quality for children.
Disclosures
Dr. Leyenaar was supported by grant number K08HS024133 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. The authors have no conflicts of interest relevant to this article to disclose.
Improvement in the quality of hospital care in the United States is a national priority, both to advance patient safety and because our expenditures exceed any other nation's, but our health outcomes lag behind.[1, 2] Healthcare spending for children is growing at a faster rate than any other age group, with hospital care accounting for more than 40% of pediatric healthcare expenditures.[3] Inpatient healthcare comprises a greater proportion of healthcare costs for children than for adults, yet we have limited knowledge about where this care is provided.[4]
There is substantial variability in the settings in which children are hospitalized. Children may be hospitalized in freestanding children's hospitals, where all services are designed for children and which operate independently of adult‐focused institutions. They may also be hospitalized in general hospitals where care may be provided in a general inpatient bed, on a dedicated pediatric ward, or in a children's hospital nested within a hospital, which may have specialized nursing and physician care but often shares other resources such as laboratory and radiology with the primarily adult‐focused institution. Medical students and residents may be trained in all of these settings. We know little about how these hospital types differ with respect to patient populations, disease volumes, and resource utilization, and this knowledge is important to inform clinical programs, implementation research, and quality improvement (QI) priorities. To this end, we aimed to describe the volume and characteristics of pediatric hospitalizations at acute care general hospitals and freestanding children's hospitals in the United States.
METHODS
Study Design and Eligibility
The data source for this analysis was the Healthcare Cost and Utilization Project's (HCUP) 2012 Kids' Inpatient Database (KID). We conducted a cross‐sectional study of hospitalizations in children and adolescents less than 18 years of age, excluding in‐hospital births and hospitalizations for pregnancy and delivery (identified using All Patient Refined‐Diagnostic Related Groups [APR‐DRGs]).[5] Neonatal hospitalizations not representing in‐hospital births but resulting from transfers or new admissions were retained. Because the dataset does not contain identifiable information, the institutional review board at Baystate Medical Center determined that our study did not constitute human subjects research.
The KID is released every 3 years and is the only publicly available, nationally representative database developed to study pediatric hospitalizations, including an 80% sample of noninborn pediatric discharges from all community, nonrehabilitation hospitals from 44 participating states.[6] Short‐term rehabilitation hospitals, long‐term nonacute care hospitals, psychiatric hospitals, and alcoholism/chemical dependency treatment facilities are excluded. The KID contains information on all patients, regardless of payer, and provides discharge weights to calculate national estimates.[6] It contains both hospital‐level and patient‐level variables, including demographic characteristics, charges, and other clinical and resource use data available from discharge abstracts. Beginning in 2012, freestanding children's hospitals (FCHs) are assigned to a separate stratum in the KID, with data from the Children's Hospital Association used by HCUP to verify the American Hospital Association's (AHA) list of FCHs.[6] Hospitals that are not FCHs were categorized as general hospitals (GHs). We were interested in examining patterns of care at acute care hospitals and not specialty hospitals; unlike previous years, the KID 2012 does not include a specialty hospital identifier.[6] Therefore, as a proxy for specialty hospital status, we excluded hospitals that had 2% hospitalizations for 12 common medical conditions (pneumonia, asthma, bronchiolitis, cellulitis, dehydration, urinary tract infection, neonatal hyperbilirubinemia, fever, upper respiratory infection, infectious gastroenteritis, unspecified viral infection, and croup). These medical conditions were the 12 most common reasons for medical hospitalizations identified using Keren's pediatric diagnosis code grouper,[7] excluding chronic diseases, and represented 26.2% of all pediatric hospitalizations. This 2% threshold was developed empirically, based on visual analysis of the distribution of cases across hospitals and was limited to hospitals with total pediatric volumes >25/year, allowing for stable case‐mix estimates.
Descriptor Variables
Hospital level characteristics included US Census region; teaching status classified in the KID based on results of the AHA Annual Survey; urban/rural location; hospital ownership, classified as public, private nonprofit and private investor‐owned; and total volume of pediatric hospitalizations, in deciles.[6] At the patient level, we examined age, gender, race/ethnicity, expected primary payer, and median household income (in quartiles) for patient's zip code. Medical complexity was categorized as (1) nonchronic disease, (2) complex chronic disease, or (3) noncomplex chronic disease, using the previously validated Pediatric Medical Complexity Algorithm (PMCA) based on International Classification of Diseases, 9th Revision, Clinical Modification (ICD‐9‐CM) codes.[8] Disease severity was classified based on APR‐DRG severity of illness coding, which classifies illnesses severity as minor, moderate, major, or extreme.[9]
We examined the following characteristics of the hospitalizations: (1) length of hospital stay (LOS) measured in calendar days; (2) high‐turnover hospitalization defined as LOS less than 2 days[10, 11, 12]; (3) long LOS, defined as greater than 4 days, equivalent to LOS greater than the 75th percentile; (4) neonatal versus non‐neonatal hospitalization, identified using APR‐DRGs; (5) admission type categorized as elective and nonelective; (6) admission source, categorized as transfer from another acute care hospital, admission from the emergency department, or direct admission; (7) discharge status, categorized as routine discharge, transfer to another hospital or healthcare facility, and discharge against medical advice; and (8) total hospital costs, calculated by applying the cost‐to‐charge ratios available in the KID to total hospital charges.
Reasons for hospitalization were categorized using the pediatric diagnosis code grouper by Keren, which uses ICD‐9‐CM codes to group common and costly principal diagnoses into distinct conditions (eg, pneumonia, idiopathic scoliosis), excluding children who have ICD‐9‐CM principal procedure codes unlikely related to their principal diagnosis (for example, appendectomy for a child with a principal diagnosis of pneumonia).[7] This pediatric grouper classifies diagnoses as medical, surgical, or medical‐surgical based on whether <20% (medical), >80% (surgical) or between 20% and 80% (medical‐surgical) of encounters for the condition had an ICD‐9‐CM principal procedure code for a surgery related to that condition. We further characterized medical hospitalizations as either medical or mental health hospitalizations.
Statistical Analysis
We categorized each discharge record as a hospitalization at a GH or an FCH. We then calculated patient‐level summary statistics, applying weights to calculate national estimates with an associated standard deviation (SD). We assessed differences in characteristics of hospitalizations at GHs and FCHs using Rao‐Scott 2 tests for categorical variables and Wald F tests for continuous variables.[6] We identified the most common reasons for hospitalization, including those responsible for at least 2% of all medical or surgical hospitalizations and at least 0.5% of medical hospitalizations for mental health diagnoses, given the lower prevalence of these conditions and our desire to include mental health diagnoses in our analysis. For these common conditions, we calculated the proportion of condition‐specific hospitalizations and aggregate hospital costs at GHs and FCHs. We also determined the number of hospitalizations at each hospital and calculated the median and interquartile range for the number of hospitalizations for each of these conditions according to hospital type, assessing for differences using Kruskal‐Wallis tests. Finally, we identified the most common and costly conditions at GHs and FCHs by ranking frequency and aggregate costs for each condition according to hospital type, limited to the 20 most costly and/or prevalent pediatric diagnoses. Because we used a novel method to identify specialty hospitals in this dataset, we repeated these analyses using all hospitals classified as a GH and FCH as a sensitivity analysis.
RESULTS
Overall, 3866 hospitals were categorized as a GH, whereas 70 hospitals were categorized as FCHs. Following exclusion of specialty hospitals, 3758 GHs and 50 FCHs were retained in this study. The geographic distribution of hospitals was similar, but although GHs included those in both urban and rural regions, all FCHs were located in urban regions (Table 1).
General Hospitals, n = 3,758 | Children's Hospitals, n = 50 | ||||
---|---|---|---|---|---|
Hospital characteristics | n | % | n | % | P Value |
| |||||
Geographic region | |||||
Northeast | 458 | 12.2 | 4 | 8.0 | 0.50 |
Midwest | 1,209 | 32.2 | 15 | 30.0 | |
South | 1,335 | 35.6 | 17 | 34.0 | |
West | 753 | 20.1 | 14 | 28.0 | |
Location and teaching status | |||||
Rural | 1,524 | 40.6 | 0 | 0 | <0.0001 |
Urban nonteaching | 1,506 | 40.1 | 7 | 14.0 | |
Urban teaching | 725 | 19.3 | 43 | 86.0 | |
Hospital ownership | |||||
Government, nonfederal | 741 | 19.7 | 0 | 0 | <0.0001 |
Private, nonprofit | 2,364 | 63.0 | 48 | 96.0 | |
Private, investor‐owned | 650 | 17.3 | 2 | 4.0 | |
Volume of pediatric hospitalizations (deciles) | |||||
<185 hospitalizations/year (<8th decile) | 2,664 | 71.0 | 0 | 0 | <0.0001 |
186375 hospitalizations/year (8th decile) | 378 | 10.1 | 2 | 4.0 | |
376996 hospitalizations/year (9th decile) | 380 | 10.1 | 1 | 2.0 | |
>986 hospitalizations/year (10th decile) | 333 | 8.9 | 47 | 94.0 | |
Volume of pediatric hospitalizations, median [IQR] | 56 | [14240] | 12,001 | [5,83815,448] | <0.0001 |
A total of 1,407,822 (SD 50,456) hospitalizations occurred at GHs, representing 71.7% of pediatric hospitalizations, whereas 554,458 (SD 45,046) hospitalizations occurred at FCHs. Hospitalizations at GHs accounted for 63.6% of days in hospital and 50.0% of pediatric inpatient healthcare costs. Eighty percent of the GHs had total pediatric patient volumes of less than 375 hospitalizations yearly; 11.1% of pediatric hospitalizations occurred at these lower‐volume centers. At FCHs, the median volume of pediatric hospitalizations was 12,001 (interquartile range [IQR]: 583815,448). A total of 36 GHs had pediatric hospitalization volumes in this IQR.
The median age for pediatric patients was slightly higher at GHs, whereas gender, race/ethnicity, primary payer, and median household income for zip code did not differ significantly between hospital types (Table 2). Medical complexity differed between hospital types: children with complex chronic diseases represented 20.2% of hospitalizations at GHs and 35.6% of hospitalizations at FCHs. Severity of illness differed between hospital types, with fewer hospitalizations categorized at the highest level of severity at GHs than FCHs. There were no significant differences between hospital types with respect to the proportion of hospitalizations categorized as neonatal hospitalizations or as elective hospitalizations. The median LOS was shorter at GHs than FCHs. Approximately 1 in 5 children hospitalized at GHs had LOS greater than 4 days, whereas almost 30% of children hospitalized at FCHs had LOS of this duration.
Patient Characteristics |
General Hospitals,1,407,822 (50,456), 71.7% |
Children's Hospitals,554,458 (45,046), 28.3% |
P Value | ||||
---|---|---|---|---|---|---|---|
n | (SD Weighted Frequency) | (%) | n | (SD Weighted Frequency) | % | ||
| |||||||
Age, y, median [IQR] | 3.6 [011.7] | 3.4 [010.8] | 0.001 | ||||
Gender (% female) | 644,250 | (23,089) | 45.8 | 254,505 | (20,688) | 45.9 | 0.50 |
Race* | |||||||
White | 668,876 | (27,741) | 47.5 | 233,930 | (26,349) | 42.2 | 0.05 |
Black | 231,586 | (12,890) | 16.5 | 80,568 | (11,739) | 14.5 | |
Hispanic | 279,021 | (16,843) | 19.8 | 12,1425 | (21,183) | 21.9 | |
Other | 133,062 | (8,572) | 9.5 | 41,190 | (6,394) | 7.4 | |
Insurance status | |||||||
Public | 740,033 | (28,675) | 52.6 | 284,795 | (25,324) | 51.4 | 0.90 |
Private | 563,562 | (21,930) | 40.0 | 224,042 | (21,613) | 40.4 | |
Uninsured | 37,265 | (1,445) | 2.7 | 16,355 | (3,804) | 3.0 | |
No charge/other/unknown | 66,962 | (5,807) | 4.8 | 29,266 | (6,789) | 5.3 | |
Median household income for zip code, quartiles | |||||||
<$38,999 | 457,139 | (19,725) | 33.3 | 164,831 | (17,016) | 30.1 | 0.07 |
$39,000$47,999 | 347,229 | (14,104) | 25.3 | 125,105 | (10,712) | 22.9 | |
$48,000$62,999 | 304,795 | (13,427) | 22.2 | 134,915 | (13,999) | 24.7 | |
>$63,000 | 263,171 | (15,418) | 19.2 | 122,164 | (16,279) | 22.3 | |
Medical complexity | |||||||
Nonchronic disease | 717,009 | (21,807) | 50.9 | 211,089 | (17,023) | 38.1 | <0.001 |
Noncomplex chronic disease | 406,070 | (14,951) | 28.8 | 146,077 | (12,442) | 26.4 | |
Complex chronic disease | 284,742 | (17,111) | 20.2 | 197,292 | (18,236) | 35.6 | |
APR‐DRG severity of illness | |||||||
1 (lowest severity) | 730,134 | (23,162) | 51.9 | 217,202 | (18,433) | 39.2 | <0.001 |
2 | 486,748 | (18,395) | 34.6 | 202,931 | (16,864) | 36.6 | |
3 | 146,921 | (8,432) | 10.4 | 100,566 | (9,041) | 18.1 | |
4 (highest severity) | 41,749 | (3,002) | 3.0 | 33,340 | (3,199) | 6.0 | |
Hospitalization characteristics | |||||||
Neonatal hospitalization | 98,512 | (3,336) | 7.0 | 39,584 | (4,274) | 7.1 | 0.84 |
Admission type | |||||||
Elective | 255,774 | (12,285) | 18.3 | 109,854 | (13,061) | 19.8 | 0.05 |
Length of stay, d, (median [IQR]) | 1.8 (0.01) [0.8‐3.6] | 2.2 (0.06) [1.1‐4.7] | <0.001 | ||||
High turnover hospitalizations | 416,790 | (14,995) | 29.6 | 130,441 | (12,405) | 23.5 | <0.001 |
Length of stay >4 days | 298,315 | (14,421) | 21.2 | 161,804 | (14,354) | 29.2 | <0.001 |
Admission source | |||||||
Transfer from another acute care hospital | 154,058 | (10,067) | 10.9 | 82,118 | (8,952) | 14.8 | 0.05 |
Direct admission | 550,123 | (21,954) | 39.1 | 211,117 | (20,203) | 38.1 | |
Admission from ED | 703,641 | (26,155) | 50.0 | 261,223 | (28,708) | 47.1 | |
Discharge status | |||||||
Routine | 1,296,638 | (46,012) | 92.1 | 519,785 | (42,613) | 93.8 | <0.01 |
Transfer to another hospital or healthcare facility | 56,115 | (1,922) | 4.0 | 13,035 | (1,437) | 2.4 | |
Discharge against medical advice | 2,792 | (181) | 0.2 | 382 | (70) | 0.1 | |
Other | 52,276 | (4,223) | 3.7 | 21,256 | (4,501) | 3.8 |
The most common pediatric medical, mental health, and surgical conditions are shown in Figure 1, together representing 32% of pediatric hospitalizations during the study period. For these medical conditions, 77.9% of hospitalizations occurred at GHs, ranging from 52.6% of chemotherapy hospitalizations to 89.0% of hospitalizations for neonatal hyperbilirubinemia. Sixty‐two percent of total hospital costs for these conditions were incurred at GHs. For the common mental health hospitalizations, 86% of hospitalizations occurred at GHs. The majority of hospitalizations and aggregate hospital costs for common surgical conditions also occurred at GHs.

Whereas pneumonia, asthma, and bronchiolitis were the most common reasons for hospitalization at both GHs and FCHs, the most costly conditions differed (see Supporting Table 1 in the online version of this article). At GHs, these respiratory diseases were responsible for the highest condition‐specific total hospital costs. At FCHs, the highest aggregate costs were due to respiratory distress syndrome and chemotherapy. Congenital heart diseases, including hypoplastic left heart syndrome, transposition of the great vessels, tetralogy of Fallot, endocardial cushion defects, coarctation of the aorta and ventricular septal defects accounted for 6 of the 20 most costly conditions at FCHs.
Figure 2 illustrates the volume of hospitalizations, per hospital, at GHs and FCHs for the most common medical hospitalizations. The median number of hospitalizations, per hospital, was consistently significantly lower at GHs than at FCHs (all P values <0.001). Similar results for surgical and mental health hospitalizations are shown as Supporting Figures 1 and 2 in the online version of this article. In our sensitivity analyses that included all hospitals classified as GH and FCH, all results were essentially unchanged.

Recognizing the wide range of pediatric volumes at GHs (Table 1) and our inability to differentiate children's hospitals nested within GHs from GHs with pediatric beds, we examined differences in patient and hospitalization characteristics at GHs with volumes 5838 hospitalizations (the 25th percentile for FCH volume) and GHs with pediatric volumes <5838/year (see Supporting Table 2 in the online version of this article). We also compared patient and hospitalization characteristics at FCHs and the higher‐volume GHs. A total of 36 GHs had pediatric volumes 5838, with hospitalizations at these sites together accounting for 15.4% of all pediatric hospitalizations. Characteristics of patients hospitalized at these higher‐volume GHs were similar to patients hospitalized at FCHs, but they had significantly lower disease severity, fewer neonatal hospitalizations, shorter LOS, and more high‐turnover hospitalizations than patients hospitalized at FCHs. We also observed several differences between children hospitalized at higher‐ and lower‐volume GHs (see Supporting Table 2 in the online version of this article). Children hospitalized at the lower‐volume GHs were more likely to have public health insurance and less likely to have complex chronic diseases, although overall, 39.0% of all hospitalizations for children with complex chronic diseases occurred at these lower‐volume GHs. Compared to children hospitalized at higher‐volume GHs, children hospitalized at the lower‐volume hospitals had significantly lower disease severity, shorter LOS, more direct admissions, and a greater proportion of routine discharges.
DISCUSSION
Of the 2 million pediatric hospitalizations in the United States in 2012, more than 70% occurred at GHs. We observed considerable heterogeneity in pediatric volumes across GHs, with 11% of pediatric hospitalizations occurring at hospitals with pediatric volumes of <375 hospitalizations annually, whereas 15% of pediatric hospitalizations occurred at GHs with volumes similar to those observed at FCHs. The remaining pediatric hospitalizations at GHs occurred at centers with intermediate volumes. The most common reasons for hospitalization were similar at GHs and FCHs, but the most costly conditions differed substantially. These findings have important implications for pediatric clinical care programs, research, and QI efforts.
Our finding that more than 70% of pediatric hospitalizations occurred at GHs speaks to the importance of quality measurement at these hospitals, whereas low per‐hospital pediatric volumes at the majority of GHs makes such measurement particularly challenging. Several previous studies have illustrated that volumes of pediatric hospitalizations are too small to detect meaningful differences in quality between hospitals using established condition‐specific metrics.[13, 14, 15] Our finding that more than 10% of pediatric hospitalizations occurred at GHs with pediatric volumes <375 year supports previous research suggesting that cross‐cutting, all‐condition quality metrics, composite measures, and/or multihospital reporting networks may be needed to enable quality measurement at these sites. In addition, the heterogeneity in patient volumes and characteristics across GHs raise questions about the applicability of quality metrics developed and validated at FCHs to the many GH settings. Field‐testing quality measures to ensure their validity at diverse GHs, particularly those with patient volumes and infrastructure different from FCHs, will be important to meaningful pediatric quality measurement.
Our results illustrating differences in the most common and costly conditions at GHs and FCHs have further implications for prioritization and implementation of research and QI efforts. Implementation research and QI efforts focused on cardiac and neurosurgical procedures, as well as neonatal intensive care, may have considerable impact on cost and quality at FCHs. At GHs, research and QI efforts focused on common conditions are needed to increase our knowledge of contextually relevant barriers to and facilitators of high‐quality pediatric care. This, however, can be made more difficult by small sample sizes, limited resources, and infrastructure, and competing priorities in adult‐focused GH settings.[16, 17, 18] Multihospital learning collaboratives and partnerships between FCHs and GHs can begin to address these challenges, but their success is contingent upon national advocacy and funding to support pediatric research and quality measures at GHs.
One of the most notable differences in the characteristics of pediatric hospitalizations at GHs and FCHs was the proportion of hospitalizations attributable to children with medical complexity (CMC); more than one‐third of hospitalizations at FCHs were for CMC compared to 1 in 5 at GHs. These findings align with the results of several previous studies describing the substantial resource utilization attributed to CMC, and with growing research, innovation, and quality metrics focused on improving both inpatient and outpatient care for these vulnerable children.[19, 20, 21, 22] Structured complex care programs, developed to improve care coordination and healthcare quality for CMC, are common at FCHs, and have been associated with decreased resource utilization and improved outcomes.[23, 24, 25] Notably, however, more than half of all hospitalizations for CMC, exceeding 250,000 annually, occurred at GHs, and almost 40% of hospitalizations for CMC occurred at the lower‐volume GHs. These findings speak to the importance of translating effective and innovative programs of care for CMC to GHs as resources allow, accompanied by robust evaluations of their effectiveness. Lower patient volume at most GHs, however, may be a barrier to dedicated CMC programs. As a result, decentralized community‐based programs of care for CMC, linking primary care programs with regional and tertiary care hospitals, warrant further consideration.[26, 27, 28]
This analysis should be interpreted in light of several limitations. First, we were unable to distinguish between GHs with scant pediatric‐specific resources from those with a large volume of dedicated pediatric resources, such as children's hospitals nested within GHs. We did identify 36 GHs with pediatric volumes similar to those observed at FCHs (see Supporting Table 2 in the online version of this article); patient and hospitalization characteristics at these higher‐volume GHs were similar in many ways to children hospitalized at FCHs. Several of these higher‐volume GHs may have considerable resources dedicated to the care of children, including subspecialty care, and may represent children's hospitals nested within GHs. Because nested children's hospitals are included in the GH categorization, our results may have underestimated the proportion of children cared for at children's hospitals. Further work is needed to identify the health systems challenges and opportunities that may be unique to these institutions. Second, because the 2012 KID does not include a specialty hospital indicator, we developed a proxy method for identifying these hospitals, which may have resulted in some misclassification. We are reassured that the results of our analyses did not change substantively when we included all hospitals. Similarly, although we are reassured that the number of hospitals classified in our analysis as acute care FCHs aligns, approximately, with the number of hospitals classified as such by the Children's Hospital Association, we were unable to assess the validity of this variable within the KID. Third, the KID does not link records at the patient level, so we are unable to report the number of unique children included in this analysis. In addition, the KID includes only inpatient stays with exclusion of observation status stays; potential differences between GH and FCH in the use of observation status could have biased our findings. Fifth, we used the PMCA to identify CMC; although this algorithm has been shown to have excellent sensitivity in identifying children with chronic diseases, using up to 3 years of Medicaid claims data, the sensitivity using the KID, where only 1 inpatient stay is available for assessment, is unknown.[8, 29] Similarly, use of Keren's pediatric diagnosis grouper to classify reasons for hospitalization may have resulted in misclassification, though there are few other nonproprietary pediatric‐specific diagnostic groupers available.
In 2012, more than 70% of pediatric hospitalizations occurred at GHs in the United States. The considerably higher pediatric volumes at FCHs makes these institutions well suited for research, innovation, and the development and application of disease‐specific QI initiatives. Recognizing that the majority of pediatric hospitalizations occurred at GHs, there is a clear need for implementation research, program development, and quality metrics that align with the characteristics of hospitalizations at these centers. National support for research and quality improvement that reflects the diverse hospital settings where children receive their hospital care is critical to further our nation's goal of improving hospital quality for children.
Disclosures
Dr. Leyenaar was supported by grant number K08HS024133 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. The authors have no conflicts of interest relevant to this article to disclose.
- Mirror, Mirror on the wall: how the performance of the US health care system compares internationally. The Commonwealth Fund. Available at: http://www.commonwealthfund.org/publications/fund‐reports/2014/jun/mirror‐mirror. Published June 16, 2014. Accessed August 26, 2015. , , , .
- Higher cost, but poorer outcomes: the US health disadvantage and implications for pediatrics. Pediatrics. 2015;135(6):961–964. , , , , , .
- US health spending trends by age and gender: selected years 2002–10. Health Aff (Millwood). 2014;33(5):815–822. , , , , .
- Costs for hospital stays in the United States, 2012. Healthcare Cost and Utilization Project 181. Available at: http://www.hcup‐us.ahrq.gov/reports/statbriefs/sb181‐Hospital‐Costs‐United‐States‐2012.pdf. Published October 2014. Accessed September 2015. , , .
- All Patient Refined Diagnosis Related Groups: Methodology Overview. 3M Health Information Systems. Available at: https://www.hcup‐us.ahrq.gov/db/nation/nis/APR‐DRGsV20MethodologyOverviewandBibliography.pdf. Accessed February 8, 2016. , , , et al.
- Agency for Healthcare Research and Quality. Healthcare Cost and Utilization Project. Introduction to the HCUP Kids' Inpatient Database (KID) 2012. Available at: https://www.hcup‐us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp. Published Issued July 2014. Accessed February 8, 2016.
- Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):1155. .
- Pediatric medical complexity algorithm: a new method to stratify children by medical complexity. Pediatrics. 2014;133(6):e1647–e1654. , , , et al.
- 3M APR DRG Classification System. 3M Health Information Systems. Available at: http://www.hcup‐us.ahrq.gov/db/nation/nis/v261_aprdrg_meth_ovrview.pdf. Accessed August 7, 2015. , , , et al.
- Trends in high‐turnover stays among children hospitalized in the United States, 1993–2003. Pediatrics. 2009;123(3):996–1002. , , , , , .
- High turnover stays for pediatric asthma in the United States. Med Care. 2010;48(9):827–833. , , , .
- Variation and outcomes associated with direct admission among children with pneumonia in the United States. JAMA Pediatr. 2014;168(9):829–836. , , , , .
- Recognizing differences in hospital quality performance for pediatric inpatient care. Pediatrics. 2015;136(2):251–262. , , , et al.
- Small numbers limit the use of the inpatient pediatric quality indicators for hospital comparison. Acad Pediatr. 2010;10(4):266–273. , , .
- Statistical uncertainty of mortality rates and rankings for children's hospitals. Pediatrics. 2011;128(4):e966–e972. , , , et al.
- Determinants of career satisfaction among pediatric hospitalists: a qualitative exploration. Acad Pediatr. 2014;14(4):361–368. , , , , .
- Quality improvement research in pediatric hospital medicine and the role of the Pediatric Research in Inpatient Settings (PRIS) network. Acad Pediatr. 2013;13(6 suppl):S54–S60. , , , et al.
- Roles for children's hospitals in pediatric collaborative improvement networks. Pediatrics. 2013;131(suppl 4):S215–S218. .
- Children with medical complexity: an emerging population for clinical and research initiatives. Pediatrics. 2011;127(3):529–538. , , , et al.
- Children with complex chronic conditions in inpatient hospital settings in the United States. Pediatrics. 2010;126(4):647–655. , , , et al.
- Patterns and costs of health care use of children with medical complexity. Pediatrics. 2012;130(6):e1463–e1470. , , , , , .
- Hospital utilization and characteristics of patients experiencing recurrent readmissions within children's hospitals. JAMA. 2011;305(7):682–690. , , , , , .
- Characteristics of hospitalizations for patients who use a structured clinical care program for children with medical complexity. J Pediatr. 2011;159(2):284–290. , , , et al.
- Hospital‐based comprehensive care programs for children with special health care needs: a systematic review. Arch Pediatr Adolesc Med. 2011;165(6):554–561. , , , .
- A tertiary care–primary care partnership model for medically complex and fragile children and youth with special health care needs. Arch Pediatr Adolesc Med. 2007;161(10):937–944. , , , , , .
- Integrated complex care coordination for children with medical complexity: a mixed‐methods evaluation of tertiary care‐community collaboration. BMC Health Serv Res. 2012;12:366. , , , et al.
- Medical transport of children with complex chronic conditions. Emerg Med Int. 2012;2012:837020. , , , .
- Comanagement of medically complex children by subspecialists, generalists, and care coordinators. Pediatrics. 2014;134(2):203–205. , , .
- Ways to identify children with medical complexity and the importance of why. J Pediatr. 2015;167(2):229–237. , , , , .
- Mirror, Mirror on the wall: how the performance of the US health care system compares internationally. The Commonwealth Fund. Available at: http://www.commonwealthfund.org/publications/fund‐reports/2014/jun/mirror‐mirror. Published June 16, 2014. Accessed August 26, 2015. , , , .
- Higher cost, but poorer outcomes: the US health disadvantage and implications for pediatrics. Pediatrics. 2015;135(6):961–964. , , , , , .
- US health spending trends by age and gender: selected years 2002–10. Health Aff (Millwood). 2014;33(5):815–822. , , , , .
- Costs for hospital stays in the United States, 2012. Healthcare Cost and Utilization Project 181. Available at: http://www.hcup‐us.ahrq.gov/reports/statbriefs/sb181‐Hospital‐Costs‐United‐States‐2012.pdf. Published October 2014. Accessed September 2015. , , .
- All Patient Refined Diagnosis Related Groups: Methodology Overview. 3M Health Information Systems. Available at: https://www.hcup‐us.ahrq.gov/db/nation/nis/APR‐DRGsV20MethodologyOverviewandBibliography.pdf. Accessed February 8, 2016. , , , et al.
- Agency for Healthcare Research and Quality. Healthcare Cost and Utilization Project. Introduction to the HCUP Kids' Inpatient Database (KID) 2012. Available at: https://www.hcup‐us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp. Published Issued July 2014. Accessed February 8, 2016.
- Prioritization of comparative effectiveness research topics in hospital pediatrics. Arch Pediatr Adolesc Med. 2012;166(12):1155. .
- Pediatric medical complexity algorithm: a new method to stratify children by medical complexity. Pediatrics. 2014;133(6):e1647–e1654. , , , et al.
- 3M APR DRG Classification System. 3M Health Information Systems. Available at: http://www.hcup‐us.ahrq.gov/db/nation/nis/v261_aprdrg_meth_ovrview.pdf. Accessed August 7, 2015. , , , et al.
- Trends in high‐turnover stays among children hospitalized in the United States, 1993–2003. Pediatrics. 2009;123(3):996–1002. , , , , , .
- High turnover stays for pediatric asthma in the United States. Med Care. 2010;48(9):827–833. , , , .
- Variation and outcomes associated with direct admission among children with pneumonia in the United States. JAMA Pediatr. 2014;168(9):829–836. , , , , .
- Recognizing differences in hospital quality performance for pediatric inpatient care. Pediatrics. 2015;136(2):251–262. , , , et al.
- Small numbers limit the use of the inpatient pediatric quality indicators for hospital comparison. Acad Pediatr. 2010;10(4):266–273. , , .
- Statistical uncertainty of mortality rates and rankings for children's hospitals. Pediatrics. 2011;128(4):e966–e972. , , , et al.
- Determinants of career satisfaction among pediatric hospitalists: a qualitative exploration. Acad Pediatr. 2014;14(4):361–368. , , , , .
- Quality improvement research in pediatric hospital medicine and the role of the Pediatric Research in Inpatient Settings (PRIS) network. Acad Pediatr. 2013;13(6 suppl):S54–S60. , , , et al.
- Roles for children's hospitals in pediatric collaborative improvement networks. Pediatrics. 2013;131(suppl 4):S215–S218. .
- Children with medical complexity: an emerging population for clinical and research initiatives. Pediatrics. 2011;127(3):529–538. , , , et al.
- Children with complex chronic conditions in inpatient hospital settings in the United States. Pediatrics. 2010;126(4):647–655. , , , et al.
- Patterns and costs of health care use of children with medical complexity. Pediatrics. 2012;130(6):e1463–e1470. , , , , , .
- Hospital utilization and characteristics of patients experiencing recurrent readmissions within children's hospitals. JAMA. 2011;305(7):682–690. , , , , , .
- Characteristics of hospitalizations for patients who use a structured clinical care program for children with medical complexity. J Pediatr. 2011;159(2):284–290. , , , et al.
- Hospital‐based comprehensive care programs for children with special health care needs: a systematic review. Arch Pediatr Adolesc Med. 2011;165(6):554–561. , , , .
- A tertiary care–primary care partnership model for medically complex and fragile children and youth with special health care needs. Arch Pediatr Adolesc Med. 2007;161(10):937–944. , , , , , .
- Integrated complex care coordination for children with medical complexity: a mixed‐methods evaluation of tertiary care‐community collaboration. BMC Health Serv Res. 2012;12:366. , , , et al.
- Medical transport of children with complex chronic conditions. Emerg Med Int. 2012;2012:837020. , , , .
- Comanagement of medically complex children by subspecialists, generalists, and care coordinators. Pediatrics. 2014;134(2):203–205. , , .
- Ways to identify children with medical complexity and the importance of why. J Pediatr. 2015;167(2):229–237. , , , , .
LETTER: Point-of-Care Ultrasound: The (Sound) Wave of the Future for Hospitalists
Small devices carried in pockets during rounds can enable hospitalists to make quick decisions at the bedside, enhance and teach physical exam skills, streamline patient flow through the hospital, and potentially avoid the cost and risk of exposure to radiation. Point-of-care (POC) ultrasound enhances both patient satisfaction and the clinician’s professional satisfaction. Hospital medicine will be the next field to rapidly assimilate its use.
POC, or “bedside,” ultrasound has been used by ob-gyns, vascular access, and procedural teams for quite some time. Of late, emergency medicine and critical care physicians have adopted its use. It offers the advantage of gaining immediate information regarding the patient through dynamic imaging and the ability to integrate that information into the clinical picture. This enables providers to make decisions about patient care in real time.
With the advent of affordable handheld devices with quality images, rounding with these devices has become practical for hospitalists. Hospitalists should rapidly embrace this skill set. POC ultrasound can be very useful to quickly improve patient diagnosis, patient satisfaction, patient safety, length of stay, and provider satisfaction.
For example, in patients complaining of dyspnea, for which there is not a clear diagnosis of COPD, congestive heart failure, pulmonary embolism, or pneumonia, a focused cardiac ultrasound can rapidly differentiate between right ventricular dysfunction, left ventricular dysfunction, pericardial effusion, or a hyperdynamic heart. Lung ultrasound with diffuse or focal “B lines,” focal consolidation, and/or pleural effusion can assist in differentiating the cause as well.
POC ultrasound also is a teaching tool that can enhance exam skills. Hospitalists can confirm exam findings and teach as they palpate the liver or percuss the chest. Performing a procedure such as paracentesis or a central line with ultrasound guidance is now considered standard of care in some centers. The literature shows ultrasound guidance is safer even when compared to clinicians skilled in landmark techniques. In addition, many hospitalists and/or trainees will work in areas where 24-7 echo, interventional radiologists, and ultrasound techs are not available. Hospitalists need to know how to use POC ultrasound to serve patients well.
POC ultrasound can also be used in daily care. For heart failure patients, watching the B lines (pulmonary edema), pleural effusions, and inferior vena cava size can avoid over- or under-diuresis and reduce length of stay and cost. The same can be said for patients with percutaneous catheters to ensure proper drainage of the pockets of fluid in the chest or abdomen.
It is important to know the limitations of POC ultrasound. It is best used to answer binary questions (e.g., pericardial effusion present or not). It is a skill to be acquired and honed, and it requires specialized training. There are many one- to two-day courses as well simulators and other means. The basics of image acquisition and interpretation can be found online, and much of it is free. Manufacturers often are willing to provide machines to practice with.
Many patients enjoy seeing the images and having a better understanding of their disease process, which leads to improved patient satisfaction. Overall, there are many benefits for hospitalists.
Gordon Johnson, MD, hospitalist and president, Oregon/Southwest Washington SHM Chapter
Small devices carried in pockets during rounds can enable hospitalists to make quick decisions at the bedside, enhance and teach physical exam skills, streamline patient flow through the hospital, and potentially avoid the cost and risk of exposure to radiation. Point-of-care (POC) ultrasound enhances both patient satisfaction and the clinician’s professional satisfaction. Hospital medicine will be the next field to rapidly assimilate its use.
POC, or “bedside,” ultrasound has been used by ob-gyns, vascular access, and procedural teams for quite some time. Of late, emergency medicine and critical care physicians have adopted its use. It offers the advantage of gaining immediate information regarding the patient through dynamic imaging and the ability to integrate that information into the clinical picture. This enables providers to make decisions about patient care in real time.
With the advent of affordable handheld devices with quality images, rounding with these devices has become practical for hospitalists. Hospitalists should rapidly embrace this skill set. POC ultrasound can be very useful to quickly improve patient diagnosis, patient satisfaction, patient safety, length of stay, and provider satisfaction.
For example, in patients complaining of dyspnea, for which there is not a clear diagnosis of COPD, congestive heart failure, pulmonary embolism, or pneumonia, a focused cardiac ultrasound can rapidly differentiate between right ventricular dysfunction, left ventricular dysfunction, pericardial effusion, or a hyperdynamic heart. Lung ultrasound with diffuse or focal “B lines,” focal consolidation, and/or pleural effusion can assist in differentiating the cause as well.
POC ultrasound also is a teaching tool that can enhance exam skills. Hospitalists can confirm exam findings and teach as they palpate the liver or percuss the chest. Performing a procedure such as paracentesis or a central line with ultrasound guidance is now considered standard of care in some centers. The literature shows ultrasound guidance is safer even when compared to clinicians skilled in landmark techniques. In addition, many hospitalists and/or trainees will work in areas where 24-7 echo, interventional radiologists, and ultrasound techs are not available. Hospitalists need to know how to use POC ultrasound to serve patients well.
POC ultrasound can also be used in daily care. For heart failure patients, watching the B lines (pulmonary edema), pleural effusions, and inferior vena cava size can avoid over- or under-diuresis and reduce length of stay and cost. The same can be said for patients with percutaneous catheters to ensure proper drainage of the pockets of fluid in the chest or abdomen.
It is important to know the limitations of POC ultrasound. It is best used to answer binary questions (e.g., pericardial effusion present or not). It is a skill to be acquired and honed, and it requires specialized training. There are many one- to two-day courses as well simulators and other means. The basics of image acquisition and interpretation can be found online, and much of it is free. Manufacturers often are willing to provide machines to practice with.
Many patients enjoy seeing the images and having a better understanding of their disease process, which leads to improved patient satisfaction. Overall, there are many benefits for hospitalists.
Gordon Johnson, MD, hospitalist and president, Oregon/Southwest Washington SHM Chapter
Small devices carried in pockets during rounds can enable hospitalists to make quick decisions at the bedside, enhance and teach physical exam skills, streamline patient flow through the hospital, and potentially avoid the cost and risk of exposure to radiation. Point-of-care (POC) ultrasound enhances both patient satisfaction and the clinician’s professional satisfaction. Hospital medicine will be the next field to rapidly assimilate its use.
POC, or “bedside,” ultrasound has been used by ob-gyns, vascular access, and procedural teams for quite some time. Of late, emergency medicine and critical care physicians have adopted its use. It offers the advantage of gaining immediate information regarding the patient through dynamic imaging and the ability to integrate that information into the clinical picture. This enables providers to make decisions about patient care in real time.
With the advent of affordable handheld devices with quality images, rounding with these devices has become practical for hospitalists. Hospitalists should rapidly embrace this skill set. POC ultrasound can be very useful to quickly improve patient diagnosis, patient satisfaction, patient safety, length of stay, and provider satisfaction.
For example, in patients complaining of dyspnea, for which there is not a clear diagnosis of COPD, congestive heart failure, pulmonary embolism, or pneumonia, a focused cardiac ultrasound can rapidly differentiate between right ventricular dysfunction, left ventricular dysfunction, pericardial effusion, or a hyperdynamic heart. Lung ultrasound with diffuse or focal “B lines,” focal consolidation, and/or pleural effusion can assist in differentiating the cause as well.
POC ultrasound also is a teaching tool that can enhance exam skills. Hospitalists can confirm exam findings and teach as they palpate the liver or percuss the chest. Performing a procedure such as paracentesis or a central line with ultrasound guidance is now considered standard of care in some centers. The literature shows ultrasound guidance is safer even when compared to clinicians skilled in landmark techniques. In addition, many hospitalists and/or trainees will work in areas where 24-7 echo, interventional radiologists, and ultrasound techs are not available. Hospitalists need to know how to use POC ultrasound to serve patients well.
POC ultrasound can also be used in daily care. For heart failure patients, watching the B lines (pulmonary edema), pleural effusions, and inferior vena cava size can avoid over- or under-diuresis and reduce length of stay and cost. The same can be said for patients with percutaneous catheters to ensure proper drainage of the pockets of fluid in the chest or abdomen.
It is important to know the limitations of POC ultrasound. It is best used to answer binary questions (e.g., pericardial effusion present or not). It is a skill to be acquired and honed, and it requires specialized training. There are many one- to two-day courses as well simulators and other means. The basics of image acquisition and interpretation can be found online, and much of it is free. Manufacturers often are willing to provide machines to practice with.
Many patients enjoy seeing the images and having a better understanding of their disease process, which leads to improved patient satisfaction. Overall, there are many benefits for hospitalists.
Gordon Johnson, MD, hospitalist and president, Oregon/Southwest Washington SHM Chapter
Efficacy of malaria vaccine declines over time
Photo by Caitlin Kleiboer
Results from a phase 2 study of the malaria vaccine RTS,S (also known as RTS,S/AS01 or Mosquirix) suggest its efficacy decreases over time, and this decline is fastest in children living in areas with higher-than-average rates of malaria.
Researchers say the results suggest the benefits of the vaccine are likely to vary across different populations and highlight the need for more research to
determine the most effective way of using RTS,S, which last year became the first malaria vaccine to receive a green light from the European Medicines Agency.
“We found that 3-dose vaccination with RTS,S was initially protective, but this was offset by a rebound in later years among children exposed to higher-than-average levels of malaria-carrying mosquitoes,” said Philip Bejon, PhD, of the Kenya Medical Research Institute–Wellcome Trust Programme in Kilifi, Kenya.
Dr Bejon and his colleagues reported these results in NEJM.
The researchers followed 447 children who had received 3 doses of either RTS,S or a rabies (control) vaccine when they were 5 months to 17 months old.
After 7 years, there were 312 children still involved in the study. During the first year, the risk of getting malaria in the vaccinated children was 35.9% less than in the control group. After 7 years, this protection fell to 3.6%.
And in children exposed to higher-than-average rates of malaria, there were slightly more cases of malaria in the vaccinated group than the control group—1002 and 992 cases, respectively—5 years after vaccination.
This “rebound” effect, which has been seen in previous studies, is thought to occur because children initially protected by the vaccine develop their natural immunity against malaria more slowly than unvaccinated children.
Results from a phase 3 study showed that 3 doses of RTS,S reduced the risk of malaria in young children by 28% over 4 years, but this improved to 36% when children were given a fourth dose 18 months after the first dose. Longer-term follow up of these children is ongoing.
“Overall, our study shows that RTS,S can benefit children but suggests that a fourth dose may be important for sustaining this protection over the long term and to protect against a potential rebound,” said Ally Olotu, PhD, of the Kenya Medical Research Institute–Wellcome Trust Programme.
“Results from 3 sites involved in the original phase 3 study that are continuing follow up, and the WHO’s planned pilot program, will tell us more about the vaccine’s efficacy in different settings and help determine which populations would benefit most from receiving it as part of a wider vaccination strategy.”
Photo by Caitlin Kleiboer
Results from a phase 2 study of the malaria vaccine RTS,S (also known as RTS,S/AS01 or Mosquirix) suggest its efficacy decreases over time, and this decline is fastest in children living in areas with higher-than-average rates of malaria.
Researchers say the results suggest the benefits of the vaccine are likely to vary across different populations and highlight the need for more research to
determine the most effective way of using RTS,S, which last year became the first malaria vaccine to receive a green light from the European Medicines Agency.
“We found that 3-dose vaccination with RTS,S was initially protective, but this was offset by a rebound in later years among children exposed to higher-than-average levels of malaria-carrying mosquitoes,” said Philip Bejon, PhD, of the Kenya Medical Research Institute–Wellcome Trust Programme in Kilifi, Kenya.
Dr Bejon and his colleagues reported these results in NEJM.
The researchers followed 447 children who had received 3 doses of either RTS,S or a rabies (control) vaccine when they were 5 months to 17 months old.
After 7 years, there were 312 children still involved in the study. During the first year, the risk of getting malaria in the vaccinated children was 35.9% less than in the control group. After 7 years, this protection fell to 3.6%.
And in children exposed to higher-than-average rates of malaria, there were slightly more cases of malaria in the vaccinated group than the control group—1002 and 992 cases, respectively—5 years after vaccination.
This “rebound” effect, which has been seen in previous studies, is thought to occur because children initially protected by the vaccine develop their natural immunity against malaria more slowly than unvaccinated children.
Results from a phase 3 study showed that 3 doses of RTS,S reduced the risk of malaria in young children by 28% over 4 years, but this improved to 36% when children were given a fourth dose 18 months after the first dose. Longer-term follow up of these children is ongoing.
“Overall, our study shows that RTS,S can benefit children but suggests that a fourth dose may be important for sustaining this protection over the long term and to protect against a potential rebound,” said Ally Olotu, PhD, of the Kenya Medical Research Institute–Wellcome Trust Programme.
“Results from 3 sites involved in the original phase 3 study that are continuing follow up, and the WHO’s planned pilot program, will tell us more about the vaccine’s efficacy in different settings and help determine which populations would benefit most from receiving it as part of a wider vaccination strategy.”
Photo by Caitlin Kleiboer
Results from a phase 2 study of the malaria vaccine RTS,S (also known as RTS,S/AS01 or Mosquirix) suggest its efficacy decreases over time, and this decline is fastest in children living in areas with higher-than-average rates of malaria.
Researchers say the results suggest the benefits of the vaccine are likely to vary across different populations and highlight the need for more research to
determine the most effective way of using RTS,S, which last year became the first malaria vaccine to receive a green light from the European Medicines Agency.
“We found that 3-dose vaccination with RTS,S was initially protective, but this was offset by a rebound in later years among children exposed to higher-than-average levels of malaria-carrying mosquitoes,” said Philip Bejon, PhD, of the Kenya Medical Research Institute–Wellcome Trust Programme in Kilifi, Kenya.
Dr Bejon and his colleagues reported these results in NEJM.
The researchers followed 447 children who had received 3 doses of either RTS,S or a rabies (control) vaccine when they were 5 months to 17 months old.
After 7 years, there were 312 children still involved in the study. During the first year, the risk of getting malaria in the vaccinated children was 35.9% less than in the control group. After 7 years, this protection fell to 3.6%.
And in children exposed to higher-than-average rates of malaria, there were slightly more cases of malaria in the vaccinated group than the control group—1002 and 992 cases, respectively—5 years after vaccination.
This “rebound” effect, which has been seen in previous studies, is thought to occur because children initially protected by the vaccine develop their natural immunity against malaria more slowly than unvaccinated children.
Results from a phase 3 study showed that 3 doses of RTS,S reduced the risk of malaria in young children by 28% over 4 years, but this improved to 36% when children were given a fourth dose 18 months after the first dose. Longer-term follow up of these children is ongoing.
“Overall, our study shows that RTS,S can benefit children but suggests that a fourth dose may be important for sustaining this protection over the long term and to protect against a potential rebound,” said Ally Olotu, PhD, of the Kenya Medical Research Institute–Wellcome Trust Programme.
“Results from 3 sites involved in the original phase 3 study that are continuing follow up, and the WHO’s planned pilot program, will tell us more about the vaccine’s efficacy in different settings and help determine which populations would benefit most from receiving it as part of a wider vaccination strategy.”
MACRA Rule Offers Little Clarity for Hospitalists
Last year, Congress put an end to the Sustainable Growth Rate (SGR), which had become a yearly battle fought on behalf of and by physicians to prevent significant last-minute cuts to Medicare reimbursement. Many hoped its replacement would provide more stability and certainty.
However, that replacement, the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA), has been anything but clear. On April 27, 2016, the Centers for Medicare & Medicaid Services (CMS) issued a Notice of Proposed Rulemaking in what it called a “first step” in implementing MACRA. CMS accepted feedback and input on the proposed rule through June 27, 2016.
The Society of Hospital Medicine worked to provide comment on what it sees as the biggest concerns of hospitalists.
For example, it remains unclear what quality markers CMS will use to evaluate hospitalists under MACRA, says Rush University Medical Center’s Suparna Dutta, MD, MPH, a hospitalist, assistant professor of medicine, and member of the SHM Public Policy Committee (PPC). “The biggest piece is, what will be used universally for all hospitalists and attributed to the work that we do?”
MACRA represents “a milestone” in efforts to “advance a healthcare system that rewards better care, smarter spending, and healthier people,” U.S. Department of Health & Human Services Secretary Sylvia M. Burwell said in a statement issued the day the proposed rule was announced.
What it is designed to do, says Ron Greeno, MD, MHM, president-elect of SHM, PPC chair, and senior advisor for medical affairs at TeamHealth, is push physicians to move toward alternative payment models.
To achieve this, MACRA creates a framework called the Quality Payment Program, which offers physicians two paths for value-over-volume-based payments: MIPS, for Merit-Based Incentive Payment System, and APMs, for Advanced Alternative Payment Models. The benchmark period for both pathways begins Jan. 1, 2017, and MACRA reimbursement would begin Jan. 1, 2019.
Under MIPS, current quality measurement programs are streamlined into a single payment adjustment, including the Physician Value-Based Modifier, the Electronic Health Record (EHR) Incentive Program and the Physician Quality Reporting System (PQRS).
Physicians will not assume risk on the MIPS pathway, but payment adjustments will be based on their MIPS score, which grows each year through 2022 and ranges that year from +9% to -9%. It will be budget neutral: The top half of scorers will see increases in payments, while the bottom half will see cuts. Additional adjustments will be given to top performers through 2024.
However, as Dr. Dutta and fellow PPC member Lauren Doctoroff, MD, FHM, a hospitalist at Beth Israel Deaconess Medical Center and instructor at Harvard Medical School, wrote for The Hospitalist in March 2016, it is not yet clear how MIPS scores will be calculated for hospitalists.
“The problem is that there is not a typical hospitalist in terms of the work that we do,” Dr. Dutta says. “It depends on the hospital and the types of responsibilities the hospitalists have and the types of patients they care for.”
CMS says 50% of the MIPS score will come from six reported measures that reflect different specialties and practices; 25% will come from technology use, with a focus on interoperability and information exchange; 15% will come from clinical improvement practices, like care coordination; and 10% will be based on cost, chosen from among 40 episode-specific measures.
The new hospitalist billing code, which has not yet been implemented, should be a tremendous help under MACRA, Dr. Dutta says. “As CMS plans on using peer-comparison groups for quality and cost measures, it is really important that we now have a specialty billing code for hospitalists, which should ensure we have a fair and valid comparison pool for any metrics we are measured on for MIPS.”
The second path may be much harder for hospitalists to achieve since it requires that physicians share in risk and reward and participate in alternative payment models like Next Generation ACO or the Comprehensive Primary Care Plus model.
Most hospitalists will not be candidates for taking on risks under APM since physicians need to achieve a threshold for taking on more than nominal financial risk, Dr. Dutta says, noting SHM’s efforts to better understand the implications.
“It depends on the the percentage of patients you’re seeing in an APM, and you might hit your threshold if your market has a lot of Medicare ACOs or risk-sharing, but it’s not something hospitalists can consistently plan on,” Dr. Dutta says.
Most hospitalists have little control over whether their facility participates in an APM, Dr. Dutta says, but allowing the APM to which a patient belongs count toward the care provided by hospitalists—though a patient may align with several APMs—may help reach these thresholds.
Feedback from SHM to CMS also included asking to allow the Bundled Payments for Care Improvement Initiative (BPCI) to qualify for APM and seeking clarification into whether hospitalists can tap into cost and quality metrics hospitals are already reporting to CMS.
“Hospitals are collecting a certain amount of data because they have to for Medicare, and that might be a good indicator of what hospitalists are doing,” Dr. Dutta says. This includes services like DVT prophylaxis after surgery in hospitals where hospitalists provide a majority of post-operative care or safety measures like CLABSI (central line–associated bloodstream infection) rates.
To stay up to date with MACRA, visit SHM’s MACRA website and follow @SHMadvocacy on Twitter. TH
Corrected version July 13, 2016.
Kelly April Tyrrell is a freelance writer in Madison, Wis.
Last year, Congress put an end to the Sustainable Growth Rate (SGR), which had become a yearly battle fought on behalf of and by physicians to prevent significant last-minute cuts to Medicare reimbursement. Many hoped its replacement would provide more stability and certainty.
However, that replacement, the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA), has been anything but clear. On April 27, 2016, the Centers for Medicare & Medicaid Services (CMS) issued a Notice of Proposed Rulemaking in what it called a “first step” in implementing MACRA. CMS accepted feedback and input on the proposed rule through June 27, 2016.
The Society of Hospital Medicine worked to provide comment on what it sees as the biggest concerns of hospitalists.
For example, it remains unclear what quality markers CMS will use to evaluate hospitalists under MACRA, says Rush University Medical Center’s Suparna Dutta, MD, MPH, a hospitalist, assistant professor of medicine, and member of the SHM Public Policy Committee (PPC). “The biggest piece is, what will be used universally for all hospitalists and attributed to the work that we do?”
MACRA represents “a milestone” in efforts to “advance a healthcare system that rewards better care, smarter spending, and healthier people,” U.S. Department of Health & Human Services Secretary Sylvia M. Burwell said in a statement issued the day the proposed rule was announced.
What it is designed to do, says Ron Greeno, MD, MHM, president-elect of SHM, PPC chair, and senior advisor for medical affairs at TeamHealth, is push physicians to move toward alternative payment models.
To achieve this, MACRA creates a framework called the Quality Payment Program, which offers physicians two paths for value-over-volume-based payments: MIPS, for Merit-Based Incentive Payment System, and APMs, for Advanced Alternative Payment Models. The benchmark period for both pathways begins Jan. 1, 2017, and MACRA reimbursement would begin Jan. 1, 2019.
Under MIPS, current quality measurement programs are streamlined into a single payment adjustment, including the Physician Value-Based Modifier, the Electronic Health Record (EHR) Incentive Program and the Physician Quality Reporting System (PQRS).
Physicians will not assume risk on the MIPS pathway, but payment adjustments will be based on their MIPS score, which grows each year through 2022 and ranges that year from +9% to -9%. It will be budget neutral: The top half of scorers will see increases in payments, while the bottom half will see cuts. Additional adjustments will be given to top performers through 2024.
However, as Dr. Dutta and fellow PPC member Lauren Doctoroff, MD, FHM, a hospitalist at Beth Israel Deaconess Medical Center and instructor at Harvard Medical School, wrote for The Hospitalist in March 2016, it is not yet clear how MIPS scores will be calculated for hospitalists.
“The problem is that there is not a typical hospitalist in terms of the work that we do,” Dr. Dutta says. “It depends on the hospital and the types of responsibilities the hospitalists have and the types of patients they care for.”
CMS says 50% of the MIPS score will come from six reported measures that reflect different specialties and practices; 25% will come from technology use, with a focus on interoperability and information exchange; 15% will come from clinical improvement practices, like care coordination; and 10% will be based on cost, chosen from among 40 episode-specific measures.
The new hospitalist billing code, which has not yet been implemented, should be a tremendous help under MACRA, Dr. Dutta says. “As CMS plans on using peer-comparison groups for quality and cost measures, it is really important that we now have a specialty billing code for hospitalists, which should ensure we have a fair and valid comparison pool for any metrics we are measured on for MIPS.”
The second path may be much harder for hospitalists to achieve since it requires that physicians share in risk and reward and participate in alternative payment models like Next Generation ACO or the Comprehensive Primary Care Plus model.
Most hospitalists will not be candidates for taking on risks under APM since physicians need to achieve a threshold for taking on more than nominal financial risk, Dr. Dutta says, noting SHM’s efforts to better understand the implications.
“It depends on the the percentage of patients you’re seeing in an APM, and you might hit your threshold if your market has a lot of Medicare ACOs or risk-sharing, but it’s not something hospitalists can consistently plan on,” Dr. Dutta says.
Most hospitalists have little control over whether their facility participates in an APM, Dr. Dutta says, but allowing the APM to which a patient belongs count toward the care provided by hospitalists—though a patient may align with several APMs—may help reach these thresholds.
Feedback from SHM to CMS also included asking to allow the Bundled Payments for Care Improvement Initiative (BPCI) to qualify for APM and seeking clarification into whether hospitalists can tap into cost and quality metrics hospitals are already reporting to CMS.
“Hospitals are collecting a certain amount of data because they have to for Medicare, and that might be a good indicator of what hospitalists are doing,” Dr. Dutta says. This includes services like DVT prophylaxis after surgery in hospitals where hospitalists provide a majority of post-operative care or safety measures like CLABSI (central line–associated bloodstream infection) rates.
To stay up to date with MACRA, visit SHM’s MACRA website and follow @SHMadvocacy on Twitter. TH
Corrected version July 13, 2016.
Kelly April Tyrrell is a freelance writer in Madison, Wis.
Last year, Congress put an end to the Sustainable Growth Rate (SGR), which had become a yearly battle fought on behalf of and by physicians to prevent significant last-minute cuts to Medicare reimbursement. Many hoped its replacement would provide more stability and certainty.
However, that replacement, the Medicare Access and CHIP Reauthorization Act of 2015 (MACRA), has been anything but clear. On April 27, 2016, the Centers for Medicare & Medicaid Services (CMS) issued a Notice of Proposed Rulemaking in what it called a “first step” in implementing MACRA. CMS accepted feedback and input on the proposed rule through June 27, 2016.
The Society of Hospital Medicine worked to provide comment on what it sees as the biggest concerns of hospitalists.
For example, it remains unclear what quality markers CMS will use to evaluate hospitalists under MACRA, says Rush University Medical Center’s Suparna Dutta, MD, MPH, a hospitalist, assistant professor of medicine, and member of the SHM Public Policy Committee (PPC). “The biggest piece is, what will be used universally for all hospitalists and attributed to the work that we do?”
MACRA represents “a milestone” in efforts to “advance a healthcare system that rewards better care, smarter spending, and healthier people,” U.S. Department of Health & Human Services Secretary Sylvia M. Burwell said in a statement issued the day the proposed rule was announced.
What it is designed to do, says Ron Greeno, MD, MHM, president-elect of SHM, PPC chair, and senior advisor for medical affairs at TeamHealth, is push physicians to move toward alternative payment models.
To achieve this, MACRA creates a framework called the Quality Payment Program, which offers physicians two paths for value-over-volume-based payments: MIPS, for Merit-Based Incentive Payment System, and APMs, for Advanced Alternative Payment Models. The benchmark period for both pathways begins Jan. 1, 2017, and MACRA reimbursement would begin Jan. 1, 2019.
Under MIPS, current quality measurement programs are streamlined into a single payment adjustment, including the Physician Value-Based Modifier, the Electronic Health Record (EHR) Incentive Program and the Physician Quality Reporting System (PQRS).
Physicians will not assume risk on the MIPS pathway, but payment adjustments will be based on their MIPS score, which grows each year through 2022 and ranges that year from +9% to -9%. It will be budget neutral: The top half of scorers will see increases in payments, while the bottom half will see cuts. Additional adjustments will be given to top performers through 2024.
However, as Dr. Dutta and fellow PPC member Lauren Doctoroff, MD, FHM, a hospitalist at Beth Israel Deaconess Medical Center and instructor at Harvard Medical School, wrote for The Hospitalist in March 2016, it is not yet clear how MIPS scores will be calculated for hospitalists.
“The problem is that there is not a typical hospitalist in terms of the work that we do,” Dr. Dutta says. “It depends on the hospital and the types of responsibilities the hospitalists have and the types of patients they care for.”
CMS says 50% of the MIPS score will come from six reported measures that reflect different specialties and practices; 25% will come from technology use, with a focus on interoperability and information exchange; 15% will come from clinical improvement practices, like care coordination; and 10% will be based on cost, chosen from among 40 episode-specific measures.
The new hospitalist billing code, which has not yet been implemented, should be a tremendous help under MACRA, Dr. Dutta says. “As CMS plans on using peer-comparison groups for quality and cost measures, it is really important that we now have a specialty billing code for hospitalists, which should ensure we have a fair and valid comparison pool for any metrics we are measured on for MIPS.”
The second path may be much harder for hospitalists to achieve since it requires that physicians share in risk and reward and participate in alternative payment models like Next Generation ACO or the Comprehensive Primary Care Plus model.
Most hospitalists will not be candidates for taking on risks under APM since physicians need to achieve a threshold for taking on more than nominal financial risk, Dr. Dutta says, noting SHM’s efforts to better understand the implications.
“It depends on the the percentage of patients you’re seeing in an APM, and you might hit your threshold if your market has a lot of Medicare ACOs or risk-sharing, but it’s not something hospitalists can consistently plan on,” Dr. Dutta says.
Most hospitalists have little control over whether their facility participates in an APM, Dr. Dutta says, but allowing the APM to which a patient belongs count toward the care provided by hospitalists—though a patient may align with several APMs—may help reach these thresholds.
Feedback from SHM to CMS also included asking to allow the Bundled Payments for Care Improvement Initiative (BPCI) to qualify for APM and seeking clarification into whether hospitalists can tap into cost and quality metrics hospitals are already reporting to CMS.
“Hospitals are collecting a certain amount of data because they have to for Medicare, and that might be a good indicator of what hospitalists are doing,” Dr. Dutta says. This includes services like DVT prophylaxis after surgery in hospitals where hospitalists provide a majority of post-operative care or safety measures like CLABSI (central line–associated bloodstream infection) rates.
To stay up to date with MACRA, visit SHM’s MACRA website and follow @SHMadvocacy on Twitter. TH
Corrected version July 13, 2016.
Kelly April Tyrrell is a freelance writer in Madison, Wis.
Telomere length linked to neutrophil recovery in AML
Image by Volker Brinkmann
Researchers say they have discovered a way to predict which children with acute myeloid leukemia (AML) are at the highest risk of delayed neutrophil recovery.
The team examined the role of telomeres in neutrophil recovery and found that the length of a patient’s telomeres can indicate the rate of recovery following chemotherapy.
The group reported their findings in the Journal of Clinical Oncology.
“We were interested in telomere length as a marker of blood count recovery because defects in telomere maintenance are known risks for bone marrow failure and aplastic anemia,” said study author Maria Monica Gramatges, MD, PhD, of Baylor College of Medicine in Houston, Texas.
“We know that up to 15% to 20% of children can take 2 months or longer to recover their blood counts after a course of AML chemotherapy. Our goal was to understand if these children had an underlying genetic predisposition associated with an impaired capacity for recovery.”
Dr Gramatges and her colleagues hypothesized that short telomere length could be associated with a delay in neutrophil recovery.
So they obtained bone marrow samples from AML patients who recovered as expected (within 30 days) after each chemotherapy course (n=62), and from AML patients who experienced significant delays in recovery after chemotherapy (n=53).
The team then measured telomere length on each subject and categorized the group by quartile, from shortest to longest.
Subjects in the quartile with the shortest telomere lengths took the longest to recover, especially during the last 2 courses of chemotherapy. In an adjusted analysis, lower telomere content was significantly associated with prolonged neutropenia after the fourth (P=0.002) and fifth courses of chemotherapy (P=0.009).
The researchers said these results support the hypothesis that telomeres are an indicator of capacity for neutrophil recovery following chemotherapy.
Dr Gramatges hopes the results of this study will be helpful in further understanding which children are at a higher risk for prolonged myelosuppression and how to target those children with modified treatments, improved supportive care, and closer monitoring in order to prevent potential complications such as severe infections.
“A significant proportion of children with AML suffer from treatment-related toxicities, with some succumbing to complications of the therapies we give, rather than from the actual cancer itself,” Dr Gramatges said.
“We hope this research will help us identify those who are at a higher risk for delayed recovery and use this knowledge to reduce the morbidity and mortality associated with AML treatment.”
Image by Volker Brinkmann
Researchers say they have discovered a way to predict which children with acute myeloid leukemia (AML) are at the highest risk of delayed neutrophil recovery.
The team examined the role of telomeres in neutrophil recovery and found that the length of a patient’s telomeres can indicate the rate of recovery following chemotherapy.
The group reported their findings in the Journal of Clinical Oncology.
“We were interested in telomere length as a marker of blood count recovery because defects in telomere maintenance are known risks for bone marrow failure and aplastic anemia,” said study author Maria Monica Gramatges, MD, PhD, of Baylor College of Medicine in Houston, Texas.
“We know that up to 15% to 20% of children can take 2 months or longer to recover their blood counts after a course of AML chemotherapy. Our goal was to understand if these children had an underlying genetic predisposition associated with an impaired capacity for recovery.”
Dr Gramatges and her colleagues hypothesized that short telomere length could be associated with a delay in neutrophil recovery.
So they obtained bone marrow samples from AML patients who recovered as expected (within 30 days) after each chemotherapy course (n=62), and from AML patients who experienced significant delays in recovery after chemotherapy (n=53).
The team then measured telomere length on each subject and categorized the group by quartile, from shortest to longest.
Subjects in the quartile with the shortest telomere lengths took the longest to recover, especially during the last 2 courses of chemotherapy. In an adjusted analysis, lower telomere content was significantly associated with prolonged neutropenia after the fourth (P=0.002) and fifth courses of chemotherapy (P=0.009).
The researchers said these results support the hypothesis that telomeres are an indicator of capacity for neutrophil recovery following chemotherapy.
Dr Gramatges hopes the results of this study will be helpful in further understanding which children are at a higher risk for prolonged myelosuppression and how to target those children with modified treatments, improved supportive care, and closer monitoring in order to prevent potential complications such as severe infections.
“A significant proportion of children with AML suffer from treatment-related toxicities, with some succumbing to complications of the therapies we give, rather than from the actual cancer itself,” Dr Gramatges said.
“We hope this research will help us identify those who are at a higher risk for delayed recovery and use this knowledge to reduce the morbidity and mortality associated with AML treatment.”
Image by Volker Brinkmann
Researchers say they have discovered a way to predict which children with acute myeloid leukemia (AML) are at the highest risk of delayed neutrophil recovery.
The team examined the role of telomeres in neutrophil recovery and found that the length of a patient’s telomeres can indicate the rate of recovery following chemotherapy.
The group reported their findings in the Journal of Clinical Oncology.
“We were interested in telomere length as a marker of blood count recovery because defects in telomere maintenance are known risks for bone marrow failure and aplastic anemia,” said study author Maria Monica Gramatges, MD, PhD, of Baylor College of Medicine in Houston, Texas.
“We know that up to 15% to 20% of children can take 2 months or longer to recover their blood counts after a course of AML chemotherapy. Our goal was to understand if these children had an underlying genetic predisposition associated with an impaired capacity for recovery.”
Dr Gramatges and her colleagues hypothesized that short telomere length could be associated with a delay in neutrophil recovery.
So they obtained bone marrow samples from AML patients who recovered as expected (within 30 days) after each chemotherapy course (n=62), and from AML patients who experienced significant delays in recovery after chemotherapy (n=53).
The team then measured telomere length on each subject and categorized the group by quartile, from shortest to longest.
Subjects in the quartile with the shortest telomere lengths took the longest to recover, especially during the last 2 courses of chemotherapy. In an adjusted analysis, lower telomere content was significantly associated with prolonged neutropenia after the fourth (P=0.002) and fifth courses of chemotherapy (P=0.009).
The researchers said these results support the hypothesis that telomeres are an indicator of capacity for neutrophil recovery following chemotherapy.
Dr Gramatges hopes the results of this study will be helpful in further understanding which children are at a higher risk for prolonged myelosuppression and how to target those children with modified treatments, improved supportive care, and closer monitoring in order to prevent potential complications such as severe infections.
“A significant proportion of children with AML suffer from treatment-related toxicities, with some succumbing to complications of the therapies we give, rather than from the actual cancer itself,” Dr Gramatges said.
“We hope this research will help us identify those who are at a higher risk for delayed recovery and use this knowledge to reduce the morbidity and mortality associated with AML treatment.”
Hidradenitis Suppurativa Video Roundtable
This 4-part video series is moderated by Jeffrey M. Weinberg, MD, and features discussion among dermatologists on this chronic inflammatory condition that has a significant impact on the quality of life of patients. Moderated by Jeffrey M. Weinberg, MD, this series covers pathogenesis, comorbidities, diagnosis, treatment, and patient education.
This video roundtable was produced by the Custom Programs division of Frontline Medical Communications. The editorial staff of Dermatology News was not involved in developing the video roundtable.
Participants include:
- Robert G. Micheletti, MD
- George Han, MD, PhD
- Mary Ruth Buchness, MD
Disclosure: The faculty received modest honoraria from Frontline Medical Communications for their time participating in this roundtable, and maintained complete editorial control over all content presented.
Dr. Weinberg discloses that he has received honoraria from AbbVie Inc.
Dr. Buchness discloses that she is on the speakers’ bureau for AbbVie Inc.
Dr. Micheletti and Dr. Han have nothing to disclose.
This 4-part video series is moderated by Jeffrey M. Weinberg, MD, and features discussion among dermatologists on this chronic inflammatory condition that has a significant impact on the quality of life of patients. Moderated by Jeffrey M. Weinberg, MD, this series covers pathogenesis, comorbidities, diagnosis, treatment, and patient education.
This video roundtable was produced by the Custom Programs division of Frontline Medical Communications. The editorial staff of Dermatology News was not involved in developing the video roundtable.
Participants include:
- Robert G. Micheletti, MD
- George Han, MD, PhD
- Mary Ruth Buchness, MD
Disclosure: The faculty received modest honoraria from Frontline Medical Communications for their time participating in this roundtable, and maintained complete editorial control over all content presented.
Dr. Weinberg discloses that he has received honoraria from AbbVie Inc.
Dr. Buchness discloses that she is on the speakers’ bureau for AbbVie Inc.
Dr. Micheletti and Dr. Han have nothing to disclose.
This 4-part video series is moderated by Jeffrey M. Weinberg, MD, and features discussion among dermatologists on this chronic inflammatory condition that has a significant impact on the quality of life of patients. Moderated by Jeffrey M. Weinberg, MD, this series covers pathogenesis, comorbidities, diagnosis, treatment, and patient education.
This video roundtable was produced by the Custom Programs division of Frontline Medical Communications. The editorial staff of Dermatology News was not involved in developing the video roundtable.
Participants include:
- Robert G. Micheletti, MD
- George Han, MD, PhD
- Mary Ruth Buchness, MD
Disclosure: The faculty received modest honoraria from Frontline Medical Communications for their time participating in this roundtable, and maintained complete editorial control over all content presented.
Dr. Weinberg discloses that he has received honoraria from AbbVie Inc.
Dr. Buchness discloses that she is on the speakers’ bureau for AbbVie Inc.
Dr. Micheletti and Dr. Han have nothing to disclose.
Supreme Court will not hear pharmacy religious liberty case
The U.S. Supreme Court has refused to decide whether pharmacists with strongly held religious beliefs can be forced to dispense emergency contraception to patients.
Justices did not explain their June 28 denial of Stormans, Inc. vs. Wiesman, but the decision was made over the objection of Chief Justice John G. Roberts Jr., Associate Justice Samuel Alito Jr., and Associate Justice Clarence Thomas. In his dissent, Associate Justice Alito wrote the court should have heard the case to ensure that novel and concededly “unnecessary burden on religious objectors” does not trample fundamental rights.
“If this is a sign of how religious liberty claims will be treated in the years ahead, those who value religious freedom have cause for great concern,” he wrote in his dissent.
At issue in the case is a 2007 rule by Washington state that a family-owned pharmacy in Olympia must provide Plan B contraception to patients. The “delivery rule” creates “a duty for pharmacists to deliver lawfully prescribed drugs or devices in a timely manner and does not allow for conscience-based decisions not to dispense the drug. The Stormans family, who own Ralph’s Thriftway, sued the state over the regulation, alleging violations of the free exercise, equal protection, and due process clauses of the Constitution. The business owners equate emergency contraception to abortion, and they argue that dispensing the medication violates their religious beliefs.
The 9th U.S. Circuit Court of Appeals sided with the state, calling the regulations “neutral and generally applicable.” The plaintiffs appealed to the Supreme Court. The denial by the high court allows the 9th Circuit decision to stand.
Nearly 20 court briefs were issued to the Supreme Court in the case, including briefs by the American Association of Pro-Life Obstetricians and Gynecologists and 4,609 individual health care professionals in support of the pharmacy.
“By effectively prohibiting exemptions for religious reasons, the state of Washington’s regulations depart radically from widely established norms within the health care industry protecting the individual conscience rights of health care professionals,” the health care professionals wrote in their brief. “Such norms favoring the freedom of conscience are particularly well established where, as here, the practitioner’s right to decline care applies to particular treatments, not to individual patients or classes of persons; and where, as here, declining treatment for reasons of religious conscience has no practical impact on quality or availability of care.”
On Twitter @legal_med
The U.S. Supreme Court has refused to decide whether pharmacists with strongly held religious beliefs can be forced to dispense emergency contraception to patients.
Justices did not explain their June 28 denial of Stormans, Inc. vs. Wiesman, but the decision was made over the objection of Chief Justice John G. Roberts Jr., Associate Justice Samuel Alito Jr., and Associate Justice Clarence Thomas. In his dissent, Associate Justice Alito wrote the court should have heard the case to ensure that novel and concededly “unnecessary burden on religious objectors” does not trample fundamental rights.
“If this is a sign of how religious liberty claims will be treated in the years ahead, those who value religious freedom have cause for great concern,” he wrote in his dissent.
At issue in the case is a 2007 rule by Washington state that a family-owned pharmacy in Olympia must provide Plan B contraception to patients. The “delivery rule” creates “a duty for pharmacists to deliver lawfully prescribed drugs or devices in a timely manner and does not allow for conscience-based decisions not to dispense the drug. The Stormans family, who own Ralph’s Thriftway, sued the state over the regulation, alleging violations of the free exercise, equal protection, and due process clauses of the Constitution. The business owners equate emergency contraception to abortion, and they argue that dispensing the medication violates their religious beliefs.
The 9th U.S. Circuit Court of Appeals sided with the state, calling the regulations “neutral and generally applicable.” The plaintiffs appealed to the Supreme Court. The denial by the high court allows the 9th Circuit decision to stand.
Nearly 20 court briefs were issued to the Supreme Court in the case, including briefs by the American Association of Pro-Life Obstetricians and Gynecologists and 4,609 individual health care professionals in support of the pharmacy.
“By effectively prohibiting exemptions for religious reasons, the state of Washington’s regulations depart radically from widely established norms within the health care industry protecting the individual conscience rights of health care professionals,” the health care professionals wrote in their brief. “Such norms favoring the freedom of conscience are particularly well established where, as here, the practitioner’s right to decline care applies to particular treatments, not to individual patients or classes of persons; and where, as here, declining treatment for reasons of religious conscience has no practical impact on quality or availability of care.”
On Twitter @legal_med
The U.S. Supreme Court has refused to decide whether pharmacists with strongly held religious beliefs can be forced to dispense emergency contraception to patients.
Justices did not explain their June 28 denial of Stormans, Inc. vs. Wiesman, but the decision was made over the objection of Chief Justice John G. Roberts Jr., Associate Justice Samuel Alito Jr., and Associate Justice Clarence Thomas. In his dissent, Associate Justice Alito wrote the court should have heard the case to ensure that novel and concededly “unnecessary burden on religious objectors” does not trample fundamental rights.
“If this is a sign of how religious liberty claims will be treated in the years ahead, those who value religious freedom have cause for great concern,” he wrote in his dissent.
At issue in the case is a 2007 rule by Washington state that a family-owned pharmacy in Olympia must provide Plan B contraception to patients. The “delivery rule” creates “a duty for pharmacists to deliver lawfully prescribed drugs or devices in a timely manner and does not allow for conscience-based decisions not to dispense the drug. The Stormans family, who own Ralph’s Thriftway, sued the state over the regulation, alleging violations of the free exercise, equal protection, and due process clauses of the Constitution. The business owners equate emergency contraception to abortion, and they argue that dispensing the medication violates their religious beliefs.
The 9th U.S. Circuit Court of Appeals sided with the state, calling the regulations “neutral and generally applicable.” The plaintiffs appealed to the Supreme Court. The denial by the high court allows the 9th Circuit decision to stand.
Nearly 20 court briefs were issued to the Supreme Court in the case, including briefs by the American Association of Pro-Life Obstetricians and Gynecologists and 4,609 individual health care professionals in support of the pharmacy.
“By effectively prohibiting exemptions for religious reasons, the state of Washington’s regulations depart radically from widely established norms within the health care industry protecting the individual conscience rights of health care professionals,” the health care professionals wrote in their brief. “Such norms favoring the freedom of conscience are particularly well established where, as here, the practitioner’s right to decline care applies to particular treatments, not to individual patients or classes of persons; and where, as here, declining treatment for reasons of religious conscience has no practical impact on quality or availability of care.”
On Twitter @legal_med