RESUMO
OBJECTIVES: To develop a tool for quantifying health disparity (Health Disparity Index[HDI]) and explore hospital variation measured by this index using chest radiography (CXR) in asthma as the proof of concept. STUDY DESIGN: This was a retrospective cohort study using the Pediatric Health Information System database including children with asthma between 5 and 18 years old. Inpatient and emergency department (ED) encounters from January 1, 2017, to December 31, 2018, with low or moderate severity were included. Exclusions included hospitals with <10 cases in any racial/ethnic group. The HDI measured variation in CXR use among children with asthma based on race/ethnicity. The HDI was calculated as the absolute difference between maximum and minimum percentages of CXR use (range = 0-100) when there was statistical evidence that the percentages were different. RESULTS: Data from 36 hospitals included 16 744 inpatient and 75 805 ED encounters. Overall, 19.7% of encounters had a CXR (34.3% for inpatient; 16.5% for ED). In inpatient encounters, 47.2% (17/36) of hospitals had a significant difference in imaging across racial/ethnic groups. Of these, the median hospital-level HDI was 19.4% (IQR 13.5-20.1). In ED encounters, 78.8% (28/36) of hospitals had a statistically significant difference in imaging across racial/ethnic groups, with a median hospital-level HDI of 10.2% (IQR 8.3-14.1). There was no significant association between the inpatient HDI and ED HDI (P = .46). CONCLUSIONS: The HDI provides a practical measure of disparity. To improve equity in healthcare, metrics are needed that are intuitive, accurate, usable, and actionable. Next steps include application of this index to other conditions.
Assuntos
Asma/diagnóstico por imagem , Negro ou Afro-Americano/estatística & dados numéricos , Disparidades em Assistência à Saúde/etnologia , Hispânico ou Latino/estatística & dados numéricos , Radiografia Torácica/estatística & dados numéricos , População Branca/estatística & dados numéricos , Adolescente , Asma/etnologia , Criança , Pré-Escolar , Serviço Hospitalar de Emergência/estatística & dados numéricos , Feminino , Disparidades nos Níveis de Saúde , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Utilização de Procedimentos e Técnicas , Estudo de Prova de Conceito , Estudos RetrospectivosAssuntos
Comitês Consultivos/organização & administração , COVID-19/epidemiologia , Pesquisa Translacional Biomédica/organização & administração , Colorado/epidemiologia , Procedimentos Clínicos , Humanos , Disseminação de Informação , Relações Interprofissionais , Avaliação das Necessidades , Pandemias , Avaliação de Programas e Projetos de Saúde , Melhoria de QualidadeRESUMO
OBJECTIVE: The objective was to test the hypothesis that in-hospital outcomes are worse among children admitted during a return ED visit than among those admitted during an index ED visit. METHODS: This was a retrospective analysis of ED visits by children age 0 to 17 to hospitals in Florida and New York in 2013. Children hospitalized during an ED return visit within 7 days were classified as "ED return admissions" (discharged at ED index visit and admitted at return visit) or "readmissions" (admission at both ED index and return visits). In-hospital outcomes for ED return admissions and readmissions were compared to "index admissions without return admission" (admitted at ED index visit without 7-day return visit admission). RESULTS: Among 1,886,053 index ED visits to 321 hospitals, 75,437 were index admissions without return admission, 7,561 were ED return admissions, and 1,333 were readmissions. ED return admissions had lower intensive care unit admission rates (11.0% vs. 13.6%; adjusted odds ratio = 0.78; 95% confidence interval [CI] = 0.71 to 0.85), longer length of stay (3.51 days vs. 3.38 days; difference = 0.13 days; incidence rate ratio = 1.04; 95% CI = 1.02 to 1.07), but no difference in mean hospital costs (($7,138 vs. $7,331; difference = -$193; 95% CI = -$479 to $93) compared to index admissions without return admission. CONCLUSIONS: Compared with children who experienced index admissions without return admission, children who are initially discharged from the ED who then have a return visit admission had lower severity and similar cost, suggesting that ED return visit admissions do not involve worse outcomes than do index admissions.
Assuntos
Serviço Hospitalar de Emergência/estatística & dados numéricos , Alta do Paciente/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Qualidade da Assistência à Saúde , Adolescente , Estudos de Casos e Controles , Criança , Pré-Escolar , Serviço Hospitalar de Emergência/economia , Serviço Hospitalar de Emergência/normas , Feminino , Florida , Humanos , Lactente , Recém-Nascido , Unidades de Terapia Intensiva/estatística & dados numéricos , Masculino , New York , Razão de Chances , Avaliação de Resultados em Cuidados de Saúde , Alta do Paciente/economia , Readmissão do Paciente/economia , Estudos RetrospectivosRESUMO
OBJECTIVES: To determine whether social determinants of health (SDH) risk adjustment changes hospital-level performance on the 30-day Pediatric All-Condition Readmission (PACR) measure and improves fit and accuracy of discharge-level models. STUDY DESIGN: We performed a retrospective cohort study of all hospital discharges meeting criteria for the PACR from 47 hospitals in the Pediatric Health Information database from January to December 2014. We built four nested regression models by sequentially adding risk adjustment factors as follows: chronic condition indicators (CCIs); PACR patient factors (age and sex); electronic health record-derived SDH (race, ethnicity, payer), and zip code-linked SDH (families below poverty level, vacant housing units, adults without a high school diploma, single-parent households, median household income, unemployment rate). For each model, we measured the change in hospitals' readmission decile-rank and assessed model fit and accuracy. RESULTS: For the 458 686 discharges meeting PACR inclusion criteria, in multivariable models, factors associated with higher discharge-level PACR measure included age <1 year, female sex, 1 of 17 CCIs, higher CCI count, Medicaid insurance, higher median household income, and higher percentage of single-parent households. Adjustment for SDH made small but significant improvements in fit and accuracy of discharge-level PACR models, with larger effect at the hospital level, changing decile-rank for 17 of 47 hospitals. CONCLUSIONS: We found that risk adjustment for SDH changed hospitals' readmissions rate rank order. Hospital-level changes in relative readmissions performance can have considerable financial implications; thus, for pay for performance measures calculated at the hospital level, and for research associated therewith, our findings support the inclusion of SDH variables in risk adjustment.
Assuntos
Hospitais Pediátricos/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Reembolso de Incentivo/estatística & dados numéricos , Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Alta do Paciente/estatística & dados numéricos , Estudos Retrospectivos , Risco Ajustado , Fatores Socioeconômicos , Estados UnidosRESUMO
OBJECTIVES: To assess the relationships between postdischarge emergency department visits, oral corticosteroid (OCS) use, and 15- to 90-day asthma readmission in children. STUDY DESIGN: Retrospective study of 9288 children from 12 states in the Truven MarketScan Database, ages 2-18 years, hospitalized between January 1, 2009, and June 30, 2011, with asthma, and continuously enrolled in Medicaid for 6 months prior and 3 months after hospitalization. The primary outcome was 15- to 90-day readmission for asthma. Secondary outcomes were postdischarge emergency department visits (within 28 days) and outpatient OCS prescription fills (6-28 days postdischarge or earlier if coinciding with an outpatient asthma visit). Logistic regression was used to assess the relationship of hospital readmission with patient characteristics and asthma health services surrounding the index admission. RESULTS: Median age at index admission was 6 years (IQR, 3-9); 62% were male and 49% were black; 2.8% had a 15- to 90-day readmission (median, 50 days; IQR, 32-70). After index discharge, 4% had an emergency department visit (median, 17 days; IQR, 12-24) and 11% had an outpatient OCS fill (median, 14 days; IQR, 6-21). In multivariable analysis, children with a postdischarge outpatient OCS fill (OR, 3.2; 95% CI, 2.4-4.6) or hospitalization within 6 months preceding the index admission (OR, 2.9; 95% CI, 2.0-4.0) had the greatest likelihood for hospital readmission. CONCLUSIONS: OCS fill within 28 days of hospital discharge was most strongly associated with 15- to 90-day hospital readmission. This finding may inform evolving strategies to reduce asthma readmissions in children.
Assuntos
Corticosteroides/administração & dosagem , Asma/tratamento farmacológico , Tratamento de Emergência , Readmissão do Paciente/estatística & dados numéricos , Administração Oral , Adolescente , Criança , Pré-Escolar , Estudos de Coortes , Serviço Hospitalar de Emergência , Feminino , Humanos , Masculino , Alta do Paciente , Estudos RetrospectivosRESUMO
OBJECTIVE: To determine if household income is associated with hospitalization costs for severe traumatic brain injury (TBI) and spinal cord injury (SCI). STUDY DESIGN: Retrospective cohort study of inpatient, nonrehabilitation hospitalizations at 43 freestanding children's hospitals for patients <19 years old with unintentional severe TBI and SCI from 2009-2012. Standardized cost of care for hospitalizations was modeled using mixed-effects methods, adjusting for age, sex, race/ethnicity, primary payer, presence of chronic medical condition, mechanism of injury, injury severity, distance from residence to hospital, and trauma center level. Main exposure was zip code level median annual household income. RESULTS: There were 1061 patients that met inclusion criteria, 833 with TBI only, 227 with SCI only, and 1 with TBI and SCI. Compared with those with the lowest-income zip codes, patients from the highest-income zip codes were more likely to be older, white (76.7% vs 50.4%), have private insurance (68.9% vs 27.9%), and live closer to the hospital (median distance 26.7 miles vs 81.2 miles). In adjusted models, there was no significant association between zip code level household income and hospitalization costs. CONCLUSIONS: Children hospitalized with unintentional, severe TBI and SCI showed no difference in standardized hospital costs relative to a patient's home zip code level median annual household income. The association between household income and hospitalization costs may vary by primary diagnosis.
Assuntos
Lesões Encefálicas/economia , Custos Hospitalares/estatística & dados numéricos , Hospitalização/economia , Hospitais Pediátricos/economia , Classe Social , Traumatismos da Medula Espinal/economia , Adolescente , Criança , Pré-Escolar , Estudos de Coortes , Feminino , Humanos , Renda , Lactente , Masculino , Estudos RetrospectivosRESUMO
OBJECTIVE: To examine the association between postdischarge outpatient follow-up and 30-day readmissions in Medicaid enrolled children with complex, chronic conditions. STUDY DESIGN: This was a retrospective cohort analysis of Colorado Medicaid recipients with complex, chronic conditions who were discharged from the hospital between 2006 and 2008. The primary outcome was readmission between 4 and 30 days after index hospital discharge. Using multivariable logistic regression, we examined the association between early postdischarge outpatient visits (≤ 3 days postdischarge) and readmission. We secondarily analyzed the relationship between any outpatient visit from 4 to 29 days of index discharge and readmission. RESULTS: For the 2415 patients with complex, chronic conditions included in the analysis, the 4- to 30-day readmission rate was 6.3%. The odds of readmission was significantly greater for patients with ≥ 1 outpatient visit ≤ 3 days after discharge compared with patients without a visit ≤ 3 days after discharge (aOR 1.7 [1.1-2.4]). The odds of readmission were significantly lower for patients with ≥ 1 outpatient visit from 4 to 29 days after discharge compared with patients without such visits (aOR 0.5 [0.3-0.7]). Other factors associated with readmission included index hospital length of stay and number of complex, chronic conditions. CONCLUSIONS: In medically complex children, there is a positive association between early postdischarge outpatient follow-up and readmission. There is an inverse association between later postdischarge outpatient follow-up and readmission. Outpatient follow-up occurring within 4-29 days after discharge may help to prevent 30-day readmissions. Additional research is needed to inform guidelines regarding longer term postdischarge outpatient follow-up in these children.
Assuntos
Medicaid/estatística & dados numéricos , Pacientes Ambulatoriais/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Adolescente , Criança , Pré-Escolar , Feminino , Seguimentos , Humanos , Lactente , Tempo de Internação/economia , Tempo de Internação/estatística & dados numéricos , Masculino , Medicaid/economia , Alta do Paciente/estatística & dados numéricos , Readmissão do Paciente/economia , Estudos Retrospectivos , Fatores de Risco , Estados UnidosRESUMO
OBJECTIVE: To test the hypothesis that children's hospitals with shorter length of stay (LOS) for hospitalized patients have higher all-cause readmission rates. STUDY DESIGN: Longitudinal, retrospective cohort study of the Pediatric Health Information System of 183616 admissions within 43 US children's hospitals for appendectomy, asthma, gastroenteritis, and seizure between July 2009 and June 2011. Admissions were stratified by medical complexity, based on whether patients had a complex chronic health condition, were neurologically impaired, or were assisted with medical technology. Outcome measures include LOS; all-cause readmission rates within 3, 7, 15, and 30 days; and the association between hospital-specific mean LOS and all-cause readmission rates as determined by linear regression. RESULTS: Mean LOS was <3 days for all patients across all conditions, except for appendectomy in complex patients (mean LOS 3.7 days, 95% CI 3.47-4.01). Condition-specific 3-, 7-, 15-, and 30-day all-cause readmission rates for noncomplex patients were all <5%. Condition-specific readmission rates for complex patients ranged from <1% at 3 days for seizures to 16% at 30 days for gastroenteritis. There was no linear association between hospital-specific, condition-specific mean LOS, stratified by medical complexity, and all-cause readmission rates at any time interval within 30 days (all P values ≥.10). CONCLUSION: In children's hospitals, LOS is short and readmission rates are low for asthma, appendectomy, gastroenteritis, and seizure admissions. In the conditions studied, there is no association between shorter hospital-specific LOS and higher readmission rates within the LOS observed.