首页> 外文期刊>The Lancet Global Health >Unpacking the null: a post-hoc analysis of a cluster-randomised controlled trial of the WHO Safe Childbirth Checklist in Uttar Pradesh, India (BetterBirth)
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Unpacking the null: a post-hoc analysis of a cluster-randomised controlled trial of the WHO Safe Childbirth Checklist in Uttar Pradesh, India (BetterBirth)

机译:揭开虚无的面纱:对印度北方邦世界卫生组织安全分娩检查表的一项整群随机对照试验的事后分析(BetterBirth)

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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 (p0·0001). 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.
机译:摘要背景在印度北方邦,以教练为基础的世卫组织安全分娩清单的实施提高了对循证做法的依从性,但并未降低围产期死亡率,孕产妇发病率或孕产妇死亡率。我们检查了结果与设施水平之间的相关性,在120个研究设施中差异很大。方法我们对北方邦基于WHO指导的WHO安全分娩检查表的实施情况进行了事后分析。我们使用多变量模型来确定30种设施级特征与每种健康结局(围产期死亡率,孕产妇发病率或孕产妇死亡率)之间的相关性。为了确定干预措施可能会产生影响的环境,我们随后对仅限于强化教练期间以及未转诊至设施之外的患者的数据运行模型。研究结果在多变量的背景下,围产期死亡率仅与30个变量中的3个相关:地区一级的女性识字率,地理位置和以前的新生儿死亡率。产妇发病率仅与地理位置有关。没有设施水平的预测因素与孕产妇死亡率相关。在出生率最低的三分位数(每月少于95例出生)中,我们的模型估计干预组每1000例出生中的围产儿死亡率为17(95%CI 11·7–24·8),而38名(31·6–对照组中每1000人中有44·8)(p <0·0001)。解释死亡率与测量的设施水平指标不直接相关,但与一般危险因素相关。预期的预测指标与患者预后之间没有相关性,而改善的预后与较小规模的干预措施之间没有关联,这表明需要考虑到复杂性的其他护理质量措施。资助比尔和梅琳达·盖茨基金会。

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