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埃塞俄比亚医疗保健提供者常规健康信息使用情况：系统评价和荟萃分析。

Routine health information use among healthcare providers in Ethiopia: a systematic review and meta-analysis.

机构信息

Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Amhara Region, Ethiopia

Department of Health Informatics, College of Health Science, Debremarkos University, Debremarkos, Amhara Region, Ethiopia.

出版信息

BMJ Health Care Inform. 2023 Mar;30(1). doi: 10.1136/bmjhci-2022-100693.

DOI:10.1136/bmjhci-2022-100693
PMID:36997261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10069504/
Abstract

INTRODUCTION

Healthcare policy formulation, programme planning, monitoring and evaluation, and healthcare service delivery as a whole are dependent on routinely generated health information in a healthcare setting. Several individual research articles on the utilisation of routine health information exist in Ethiopia; however, each of them revealed inconsistent findings.

OBJECTIVE

The main aim of this review was to combine the magnitude of routine health information use and its determinants among healthcare providers in Ethiopia.

METHODS

Databases and repositories such as PubMed, Global Health, Scopus, Embase, African journal online, Advanced Google Search and Google Scholar were searched from 20 to 26 August 2022.

RESULT

A total of 890 articles were searched but only 23 articles were included. A total of 8662 (96.3%) participants were included in the studies. The pooled prevalence of routine health information use was found to be 53.7% with 95% CI (47.45% to 59.95%). Training (adjusted OR (AOR)=1.56, 95% CI (1.12 to 2.18)), competency related to data management (AOR=1.94, 95% CI (1.35 to 2.8)), availability of standard guideline (AOR=1.66, 95% CI (1.38 to 1.99)), supportive supervision (AOR=2.07, 95% CI (1.55 to 2.76)) and feedback (AOR=2.20, 95% CI (1.30 to 3.71)) were significantly associated with routine health information use among healthcare providers at p value≤0.05 with 95% CI.

CONCLUSION

The use of routinely generated health information for evidence-based decision-making remains one of the most difficult problems in the health information system. The study's reviewers suggested that the appropriate health authorities in Ethiopia invest in enhancing the skills in using routinely generated health information.

PROSPERO REGISTRATION NUMBER

CRD42022352647.

摘要

简介

医疗保健政策的制定、规划、监测和评估以及整个医疗保健服务的提供都依赖于医疗保健环境中定期生成的健康信息。在埃塞俄比亚，有几篇关于利用常规卫生信息的个别研究文章；然而，它们中的每一篇都得出了不一致的发现。

目的

本次综述的主要目的是结合埃塞俄比亚卫生保健提供者使用常规卫生信息的规模及其决定因素。

方法

从 2022 年 8 月 20 日至 26 日，我们在 PubMed、全球卫生、Scopus、Embase、非洲在线期刊、高级谷歌搜索和谷歌学术等数据库和存储库中进行了搜索。

结果

共搜索了 890 篇文章，但仅纳入了 23 篇文章。共有 8662 名（96.3%）参与者纳入研究。常规卫生信息使用的汇总患病率为 53.7%，95%置信区间（47.45%至 59.95%）。培训（调整后的比值比（OR）=1.56，95%置信区间（1.12 至 2.18））、与数据管理相关的能力（OR=1.94，95%置信区间（1.35 至 2.8））、标准指南的可用性（OR=1.66，95%置信区间（1.38 至 1.99））、支持性监督（OR=2.07，95%置信区间（1.55 至 2.76））和反馈（OR=2.20，95%置信区间（1.30 至 3.71））在 p 值≤0.05 时与卫生保健提供者常规卫生信息使用显著相关，95%置信区间。

结论

在卫生信息系统中，基于证据的决策仍然是使用定期生成的卫生信息的最困难问题之一。研究审查员建议埃塞俄比亚的适当卫生当局投资于提高使用定期生成的卫生信息的技能。

PROSPERO 注册号：CRD42022352647。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/04d513d96e61/bmjhci-2022-100693f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/8c7e615c2a6c/bmjhci-2022-100693f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/6fa04ee11362/bmjhci-2022-100693f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/2c739799146c/bmjhci-2022-100693f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/b47cf3e22784/bmjhci-2022-100693f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/20f79cf48e44/bmjhci-2022-100693f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/8630b316a2bf/bmjhci-2022-100693f07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/cc0622dc73f2/bmjhci-2022-100693f08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/ecd9b4b184f5/bmjhci-2022-100693f09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/f9016929aa4c/bmjhci-2022-100693f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/585d9142be2f/bmjhci-2022-100693f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85a9/10069504/213c5809aef1/bmjhci-2022-100693f12.jpg

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