Journal of hospital medicine · 2022
Contributors to disparities in postpartum readmission rates between safety-net and non-safety-net hospitals: A decomposition analysis.
СтатьяПоддержка службы здравоохранения СШАНазвание и аннотация: Перевод в очереди
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Reid Lawrence D, Weiss Audrey J, Fingar Kathryn R
Аннотация
BACKGROUND: Safety-net hospitals (SNHs) treat more maternal patients with risk factors for postpartum readmission.
OBJECTIVE: To assess how patient, hospital, and community characteristics explain the SNH/non-SNH disparity in postpartum readmission rates.
DESIGN: A linear probability model assessed covariates associated with postpartum readmissions. Oaxaca-Blinder decomposition estimates quantified the contribution of covariates to the SNH/non-SNH disparity in postpartum readmission rates.
SETTING: Healthcare Cost and Utilization Project 2016-2018 State Inpatient Databases from 25 states.
PARTICIPANTS: 3.5 million maternal delivery stays.
MEASUREMENTS: The outcome was inpatient readmission within 42 days of delivery. SNHs had a share of Medicaid/uninsured stays in the top quartile. A range of patient, hospital, and community characteristics was considered as covariates.
RESULTS: The unadjusted postpartum readmission rate was 4.2 per 1000 index deliveries higher at SNHs than at non-SNHs (19.1 vs. 14.9, p < .001). Adjustment reduced the risk difference to 0.65 per 1000 (95% confidence interval [CI]: -0.14, 1.44). Patient (66%), hospital (14%), and community (4%) characteristics explained 84% of the disparity. The single largest contributors to the disparity were race/ethnicity (20%), hypertension (12%), hospital preterm delivery rate (10%), and preterm delivery (7%). Collectively, patient comorbidities explained 31% of the disparity.
CONCLUSION: Higher postpartum readmission rates at SNHs versus non-SNHs were largely due to differences in the patient mix rather than hospital factors. Hospital initiatives are needed to reduce the risk of postpartum readmissions among SNH patients. Improving factors that contribute to the disparity, including underlying health conditions and health inequities associated with race, requires enduring investments in public health.
OBJECTIVE: To assess how patient, hospital, and community characteristics explain the SNH/non-SNH disparity in postpartum readmission rates.
DESIGN: A linear probability model assessed covariates associated with postpartum readmissions. Oaxaca-Blinder decomposition estimates quantified the contribution of covariates to the SNH/non-SNH disparity in postpartum readmission rates.
SETTING: Healthcare Cost and Utilization Project 2016-2018 State Inpatient Databases from 25 states.
PARTICIPANTS: 3.5 million maternal delivery stays.
MEASUREMENTS: The outcome was inpatient readmission within 42 days of delivery. SNHs had a share of Medicaid/uninsured stays in the top quartile. A range of patient, hospital, and community characteristics was considered as covariates.
RESULTS: The unadjusted postpartum readmission rate was 4.2 per 1000 index deliveries higher at SNHs than at non-SNHs (19.1 vs. 14.9, p < .001). Adjustment reduced the risk difference to 0.65 per 1000 (95% confidence interval [CI]: -0.14, 1.44). Patient (66%), hospital (14%), and community (4%) characteristics explained 84% of the disparity. The single largest contributors to the disparity were race/ethnicity (20%), hypertension (12%), hospital preterm delivery rate (10%), and preterm delivery (7%). Collectively, patient comorbidities explained 31% of the disparity.
CONCLUSION: Higher postpartum readmission rates at SNHs versus non-SNHs were largely due to differences in the patient mix rather than hospital factors. Hospital initiatives are needed to reduce the risk of postpartum readmissions among SNH patients. Improving factors that contribute to the disparity, including underlying health conditions and health inequities associated with race, requires enduring investments in public health.