Agency for Healthcare Research and Quality, Rockville, Maryland, USA.
IBM Watson Health, Santa Barbara, California, USA.
J Hosp Med. 2022 Feb;17(2):77-87. doi: 10.1002/jhm.2769. Epub 2022 Jan 27.
Safety-net hospitals (SNHs) treat more maternal patients with risk factors for postpartum readmission.
To assess how patient, hospital, and community characteristics explain the SNH/non-SNH disparity in postpartum readmission rates.
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.
Healthcare Cost and Utilization Project 2016-2018 State Inpatient Databases from 25 states.
3.5 million maternal delivery stays.
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.
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.
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.
安全网医院(SNH)收治了更多具有产后再入院风险因素的产妇患者。
评估患者、医院和社区特征如何解释 SNH/非 SNH 产后再入院率的差异。
线性概率模型评估了与产后再入院相关的协变量。Oaxaca-Blinder 分解估计量化了协变量对 SNH/非 SNH 产后再入院率差异的贡献。
2016-2018 年来自 25 个州的医疗保健成本和利用项目 2016-2018 年州住院数据库。
350 万例产妇分娩住院。
结局是产后 42 天内再次住院。SNH 中 Medicaid/无保险住院的比例处于前四分之一。将一系列患者、医院和社区特征作为协变量进行考虑。
SNH 的产后再入院率比非 SNH 高出 4.2/1000 指数分娩(19.1 vs. 14.9,p < 0.001)。调整后风险差异缩小至 0.65/1000(95%置信区间:-0.14,1.44)。患者(66%)、医院(14%)和社区(4%)特征解释了差异的 84%。导致差异的最大因素是种族/民族(20%)、高血压(12%)、医院早产儿分娩率(10%)和早产(7%)。患者合并症共同解释了差异的 31%。
SNH 与非 SNH 相比,产后再入院率较高主要是由于患者人群的差异,而不是医院因素。需要采取医院举措来降低 SNH 患者产后再入院的风险。改善导致差异的因素,包括与种族相关的基础健康状况和健康不平等,需要对公共卫生进行持久投资。