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  • 标题:Unpacking the null: a post-hoc analysis of a cluster-randomised controlled trial of the WHO Safe Childbirth Checklist in Uttar Pradesh, India (BetterBirth)
  • 本地全文:下载
  • 作者:Megan Marx Delaney ; Kate A Miller ; Lauren Bobanski
  • 期刊名称:The Lancet Global Health
  • 电子版ISSN:2214-109X
  • 出版年度:2019
  • 卷号:7
  • 期号:8
  • 页码:1088-1096
  • DOI:10.1016/s2214-109x(19)30261-x
  • 出版社:Elsevier B.V.
  • 摘要:Summary Background A coaching-based implementation of the WHO Safe Childbirth Checklist in Uttar Pradesh, India, improved adherence to evidence-based practices, but did not reduce perinatal mortality, maternal morbidity, or maternal mortality. We examined facility-level correlates of the outcomes, which varied widely across the 120 study facilities. Methods We did a post-hoc analysis of the coaching-based implementation of the WHO Safe Childbirth Checklist in Uttar Pradesh. We used multivariable modelling to identify correlations between 30 facility-level characteristics and each health outcome (perinatal mortality, maternal morbidity, or maternal mortality). To identify contexts in which the intervention might have had an effect, we then ran the models on data restricted to the period of intensive coaching and among patients not referred out of the facilities. Findings In the multivariable context, perinatal mortality was associated with only 3 of the 30 variables: female literacy at the district level, geographical location, and previous neonatal mortality. Maternal morbidity was only associated with geographical location. No facility-level predictors were associated with maternal mortality. Among facilities in the lowest tertile of birth volume (<95 births per month), our models estimated perinatal mortality was 17 (95% CI 11·7–24·8) per 1000 births in the intervention group versus 38 (31·6–44·8) per 1000 in the control group (p<0·0001). Interpretation Mortality was not directly associated with measured facility-level indicators but was associated with general risk factors. The absence of correlation between expected predictors and patient outcomes and the association between improved outcomes and the intervention in smaller facilities suggest a need for additional measures of quality of care that take into account complexity. Funding Bill & Melinda Gates Foundation.
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