1997-2018 年加利福尼亚州产后再入院的种族/民族差异趋势。

Curisa M. Tucker PhD, RN , Chen Ma MS , Mahasin S. Mujahid PhD, MS, FAHA , Alexander J. Butwick MBBS, FRCA, MS , Anna I. Girsen MD, PhD , Ronald S. Gibbs MD , Suzan L. Carmichael PhD, MS
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引用次数: 0

摘要

背景产后再入院是产后发病率的一个重要指标。黑人产后再入院的可能性最大。然而,目前还不清楚产后再入院的可能性是否随着种族/族裔的不同而发生变化。本研究旨在(研究设计我们使用活产和胎儿死亡证明与加利福尼亚州 1997 年至 2018 年期间 10,711,289 例新生儿的分娩出院记录相连接,研究了产后再入院(定义为分娩住院出院后 42 天内住院)的趋势。我们使用包含年份和年份平方(以考虑非线性趋势)的多变量逻辑回归模型,按种族/族裔进行总体和分层,以估计研究期间产后再入院的年度变化,用几率比和 95% 置信区间表示。然后,我们根据产前因素(如患者人口统计学特征)和临床因素(如胎龄、分娩方式)对模型进行了调整。为了确定种族/族裔差异是否随时间推移而改变,我们通过比较种族特异性、未调整的逻辑回归模型的预测概率,计算了 1997 年和 2018 年的风险比。结果产后再入院的总发生率为每 1000 例新生儿中有 10 例(非西班牙裔黑人为 17.4/1000 例,非西班牙裔白人为 10/1000 例,非西班牙裔亚洲/太平洋岛民为 7.9/1000 例,西班牙裔个人为 9.6/1000 例)。在研究期间,所有群体的再入院几率都有所增加;其中黑人的增幅最大(42%,其他群体为 21%-29%)。在对产前和临床因素进行调整后,黑人和白人的再次入院几率增幅相似(12%)。在研究期间,黑人产后再入院率相对于白人的差距有所扩大(风险比,1997 年为 1.68,2018 年为 1.90),西班牙裔人的差距较小(风险比,1997 年为 1.02,2018 年为 1.05)。在研究期间,亚洲/太平洋岛民的风险仍然低于白人(风险比,1997 年为 0.87,2018 年为 0.82)。结论从 1997 年到 2018 年,加利福尼亚州所有种族/族裔群体的产后再入院率都有所上升,黑人的上升幅度最大。在对产前和临床因素进行调整后,种族/人种间的趋势差异较为温和。找到防止产后再入院进一步增加的方法非常重要,尤其是在风险最高的群体中。
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Trends in racial/ethnic disparities in postpartum hospital readmissions in California from 1997 to 2018

BACKGROUND

Postpartum readmission is an important indicator of postpartum morbidity. The likelihood of postpartum readmission is highest for Black individuals. However, it is unclear whether the likelihood of postpartum readmission has changed over time according to race/ethnicity. Little is also known about the factors that contribute to these trends.

OBJECTIVE

This study aimed to: (1) examine trends in postpartum readmission by race/ethnicity, (2) examine if prenatal or clinical factors explain the trends, and (3) investigate if racial/ethnic disparities changed over time.

STUDY DESIGN

We examined trends in postpartum readmission, defined as hospitalization within 42 days after birth hospitalization discharge, using live birth and fetal death certificates linked to delivery discharge records from 10,711,289 births in California from 1997 to 2018. We used multivariable logistic regression models that included year and year-squared (to allow for nonlinear trends), overall and stratified by race/ethnicity, to estimate the annual change in postpartum readmission during the study period, represented by odds ratios and 95% confidence intervals. We then adjusted models for prenatal (eg, patient demographics) and clinical (eg, gestational age, mode of birth) factors. To determine whether racial/ethnic disparities changed over time, we calculated risk ratios for 1997 and 2018 by comparing the predicted probabilities from the race-specific, unadjusted logistic regression models.

RESULTS

The overall incidence of postpartum readmission was 10 per 1000 births (17.4/1000 births for non-Hispanic Black, 10/1000 for non-Hispanic White, 7.9/1000 for non-Hispanic Asian/Pacific Islander, and 9.6/1000 for Hispanic individuals). Odds of readmission increased for all groups during the study period; the increase was greatest for Black individuals (42% vs 21%–29% for the other groups). After adjustment for prenatal and clinical factors, the increase in odds was similar for Black and White individuals (12%). The disparity in postpartum readmission rates relative to White individuals increased for Black individuals (risk ratio, 1.68 in 1997 and 1.90 in 2018) and more modestly for Hispanic individuals (risk ratio, 1.02 in 1997 and 1.05 in 2018) during the study period. Asian/Pacific Islander individuals continued to have lower risk than White individuals during the study period (risk ratio, 0.87 in 1997 and 0.82 in 2018).

CONCLUSION

The rate of postpartum readmissions increased from 1997 to 2018 in California across all racial/ethnic groups, with the greatest increase observed for Black individuals. Racial/ethnic differences in the trend were more modest after adjustment for prenatal and clinical factors. It is important to find ways to prevent further increases in postpartum readmission, especially among groups at highest risk.

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来源期刊
AJOG global reports
AJOG global reports Endocrinology, Diabetes and Metabolism, Obstetrics, Gynecology and Women's Health, Perinatology, Pediatrics and Child Health, Urology
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