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利用临床级联来衡量医疗机构的产科应急准备情况:在东非使用横断面机构数据对级联模型进行测试。

Using clinical cascades to measure health facilities' obstetric emergency readiness: testing the cascade model using cross-sectional facility data in East Africa.

作者信息

Whaley Bridget, Butrick Elizabeth, Sales Jessica M, Wanyoro Anthony, Waiswa Peter, Walker Dilys, Cranmer John N

机构信息

Behavioral, Social and Health Education Sciences, Emory University, Atlanta, Georgia, USA

Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.

出版信息

BMJ Open. 2022 Apr 4;12(4):e057954. doi: 10.1136/bmjopen-2021-057954.

Abstract

OBJECTIVES

Globally, hundreds of women die daily from preventable pregnancy-related causes, with the greatest burden in sub-Saharan Africa. Five key emergencies-bleeding, infections, high blood pressure, delivery complications and unsafe abortions-account for nearly 75% of these obstetric deaths. Skilled clinicians with strategic supplies could prevent most deaths. In this study, we (1) measured facility readiness to manage common obstetric emergencies using the clinical cascades and signal function tracers; (2) compared these readiness estimates by facility characteristics; and (3) measured cascading drop-offs in resources.

DESIGN

A facility-based cross-sectional analysis of resources for common obstetric emergencies.

SETTING

Data were collected in 2016 from 23 hospitals (10 designated comprehensive emergency obstetric care (CEmOC) facilities) in Migori County, western Kenya, and Busoga Region, eastern Uganda, in the Preterm Birth Initiative study in East Africa. Baseline data were used to estimate a facility's readiness to manage common obstetric emergencies using signal function tracers and the clinical cascade model. We compared emergency readiness using the proportion of facilities with tracers (signal functions) and the proportion with resources for identifying and treating the emergency (cascade stages 1 and 2).

RESULTS

The signal functions overestimated practical emergency readiness by 23 percentage points across five emergencies. Only 42% of CEmOC-designated facilities could perform basic emergency obstetric care. Across the three stages of care (, and ) for five emergencies, there was a 28% pooled mean drop-off in readiness. Across emergencies, the largest drop-off occurred in the treatment stage. Patterns of drop-off remained largely consistent across facility characteristics.

CONCLUSIONS

Accurate measurement of obstetric emergency readiness is a prerequisite for strengthening facilities' capacity to manage common emergencies. The cascades offer stepwise, emergency-specific readiness estimates designed to guide targeted maternal survival policies and programmes.

TRIAL REGISTRATION NUMBER

NCT03112018.

摘要

目标

在全球范围内,每天有数百名妇女死于可预防的妊娠相关原因,撒哈拉以南非洲地区负担最为沉重。出血、感染、高血压、分娩并发症和不安全堕胎这五大关键急症占这些产科死亡病例的近75%。配备战略物资的熟练临床医生能够预防大多数死亡。在本研究中,我们(1)使用临床级联和信号功能追踪指标来衡量医疗机构应对常见产科急症的准备情况;(2)根据医疗机构特征比较这些准备情况的评估结果;(3)衡量资源的级联递减情况。

设计

对常见产科急症资源进行基于医疗机构的横断面分析。

背景

2016年,在东非早产倡议研究中,从肯尼亚西部米戈里县和乌干达东部布索加地区的23家医院(10家指定的综合紧急产科护理(CEmOC)机构)收集了数据。基线数据用于通过信号功能追踪指标和临床级联模型来估计医疗机构应对常见产科急症的准备情况。我们使用具备追踪指标(信号功能)的医疗机构比例以及具备识别和治疗急症资源(级联阶段1和2)的医疗机构比例来比较应急准备情况。

结果

信号功能在五种急症中高估了实际应急准备情况23个百分点。只有42%的指定CEmOC机构能够提供基本的紧急产科护理。在五种急症的三个护理阶段(、和)中,准备情况的合并平均递减率为28%。在各种急症中,最大的递减发生在治疗阶段。不同医疗机构特征的递减模式在很大程度上保持一致。

结论

准确衡量产科应急准备情况是加强医疗机构应对常见急症能力的先决条件。级联提供了针对特定急症的逐步准备情况评估,旨在指导有针对性的孕产妇生存政策和计划。

试验注册号

NCT03112018。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49ae/8981352/70a142b812d8/bmjopen-2021-057954f01.jpg

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