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Hospital volume, hospital teaching status, patient socioeconomic status, and outcomes in patients hospitalized with sickle cell disease.

ABSTRACT: Sickle cell disease (SCD) accounts for ~100,000 hospitalizations in the US annually. Quality of care for hospitalized SCD patients has been insufficiently studied. Therefore, we aimed to examine whether four potential determinants of quality care, [1] hospital volume, [2] hospital teaching status, [3] patient socioeconomic status (SES), and [4] patient insurance status, are associated with three quality indicators for patients with SCD: [1] mortality, [2] length of stay (LOS), and [3] hospitalization costs. We conducted an analysis of the 2003–2005 Nationwide Inpatient Sample (NIS) datasets. We identified cases using all ICD-9CM codes for SCD. Both overall and SCD-specific hospital volumes were examined. Multivariable analyses included mixed linear models to examine LOS and costs, and logistic regression to examine mortality. About 71,481 SCD discharges occurred from 2003 to 2005. Four hundred and twenty five patients died, yielding a mortality rate of 0.6%. Multivariable analyses revealed that SCD patients admitted to lower SCD-specific volume hospitals had [1] increased adjusted odds of mortality (quintiles 1–4 vs. quintile 5: OR, 1.36; 95% CI, 1.05, 1.76) and [2] decreased LOS (quintiles 1–4 vs. quintile 5, effect estimate 20.08; 95%CI, 20.12, 20.04). These are the first data describing associations between lower SCD-specific hospital volumes and poorer outcomes.

SUBMITTER: McCavit TL

PROVIDER: S-EPMC4250088 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Hospital volume, hospital teaching status, patient socioeconomic status, and outcomes in patients hospitalized with sickle cell disease.

McCavit Timothy L TL Lin Hua H Zhang Song S Ahn Chul C Quinn Charles T CT Flores Glenn G

American journal of hematology 20110401 4

Sickle cell disease (SCD) accounts for ~100,000 hospitalizations in the US annually. Quality of care for hospitalized SCD patients has been insufficiently studied. Therefore, we aimed to examine whether four potential determinants of quality care, [1] hospital volume, [2] hospital teaching status, [3] patient socioeconomic status (SES), and [4] patient insurance status, are associated with three quality indicators for patients with SCD: [1] mortality, [2] length of stay (LOS), and [3] hospitaliz ...[more]

PMID: 21442644

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Project description:ImportanceNon-medically indicated induction of labor has been demonstrated to potentially improve some obstetric outcomes, such as decreasing cesarean birth. It has been reported that rates of cesarean birth and other obstetric outcomes vary among hospitals with different characteristics.ObjectiveTo assess whether obstetric outcomes differ between nulliparous individuals with low-risk pregnancies managed with non-medically indicated induction of labor compared with expectant management in different types of hospitals.Design, setting, and participantsThis retrospective cohort study included non-medically indicated induction of labor at 39 weeks' gestation compared with expectant management of singleton, nonanomalous, births in nulliparous women with low-risk pregnancies in California between January 1, 2007, and December 31, 2011. The initial analysis of these data was performed in 2021. Outcomes were assessed by 3 hospital characteristics: location (urban vs rural), obstetric volume, and teaching (academic vs community) status. Volume was categorized based on the average number of births per year and grouped into low (<1200 births per year), medium (1200-2399 births per year), and high (≥2400 births per year). Births with previous or planned cesarean delivery were excluded, and non-medically indicated induction of labor was defined as induction of labor without a specific medical indication. Testing with χ2 and multivariable logistic regression analyses was used for statistical comparisons with a cutoff level of P = .01.ExposureNon-medically indicated induction of labor at 39 weeks' gestation.Main outcomes and measuresThe primary outcome was cesarean birth, and numerous secondary perinatal outcomes were also assessed.ResultsThere were 455 044 births included in this study. When stratified by hospital variables, a number of sociodemographic characteristics were significantly different, such as race and ethnicity, age, body mass index, and insurance type. The adjusted odds ratios (aORs) of cesarean birth were significantly lower in all settings with induction of labor except for low-volume hospitals, in which there was no significant difference (aOR, 0.95; 95% CI, 0.82-1.09). Chorioamnionitis and postpartum hemorrhage were lower with induction of labor among nearly every hospital when stratified by hospital characteristics. Neonatal outcomes were improved in all settings with induction of labor compared with expectant management.Conclusions and relevanceThese findings suggest that non-medically indicated induction of labor may be associated with a lower rate of cesarean births and some maternal and neonatal adverse outcomes in a range of hospital settings.

Project description:BackgroundThe impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19).ObjectiveTo evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19.DesignRetrospective cohort study.SettingFour hospitals in an integrated health system serving southeast Michigan.ParticipantsAdult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction.Main measuresPatient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment.Key resultsBlack patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531-56,095) vs. $63,317 (49,850-85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001).ConclusionsNeighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community.

Dataset Information

Hospital volume, hospital teaching status, patient socioeconomic status, and outcomes in patients hospitalized with sickle cell disease.

Publications

Hospital volume, hospital teaching status, patient socioeconomic status, and outcomes in patients hospitalized with sickle cell disease.

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