Gaudensia A. Olomi, L. Cansdale, Simon Woodworth, Rachel Manongi, Pendo Mlay, Karen Yeates, Nicola West, Jane E. Hirst, Christopher Redman, M. Mahande, B. Mmbaga, A. Khashan
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As new mHealth technologies are quickly being evaluated and deployed in resource-poor settings, it is crucial to thoroughly analyse what has been accomplished in order to inform implementers and policy makers on the effectiveness of technology in evidence-based practice. Objective This study aims to synthesize the available evidence 1) on the use of mHealth clinical decision-making tools for maternal and perinatal care in SSA, and 2) whether these tools lead to improvements in the quality of maternal and perinatal care in SSA. Methods A systematic review of the literature will be performed to identify publications describing the use mHealth tools for maternal and perinatal clinical decision-making in SSA. PubMed, CINAHL, EMBASE, Global Health and Web of Science will be searched for relevant articles following a predetermined search strategy with no date restrictions. A limited grey literature search will also be carried out. Two independent reviewers will screen the articles. Pre-determined data items will be extracted, and data synthesis carried out using a descriptive approach. Appraisal will be done using the Appraisal of Guidelines Research and Evaluation Health Systems (AGREE-HS) instrument. Conclusions This systematic review protocol for identifying and appraising mHealth clinical decision-making tools in maternal and perinatal care may help to establish best practice for developing and scaling up, thus help to improve care in SSA. Registration PROSPERO (CRD42023452760; 19 August 2023).:","PeriodicalId":73254,"journal":{"name":"HRB open research","volume":"77 8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"mHealth clinical decision-making tools for maternal and perinatal health care in Sub-Saharan Africa: A systematic review protocol\",\"authors\":\"Gaudensia A. Olomi, L. 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引用次数: 0
摘要
移动医疗临床决策工具在孕产妇和围产期保健中发挥着多种既定的作用,包括健康监测、数据收集和获取指南。在 SSA 等低资源环境中采用移动医疗临床决策工具的情况以及从使用这些工具中汲取的经验教训尚未确定。随着新的移动医疗技术在资源匮乏的环境中迅速得到评估和部署,彻底分析已取得的成果至关重要,以便让实施者和决策者了解技术在循证实践中的有效性。本研究旨在综合现有证据:1)在撒哈拉以南非洲地区使用移动医疗临床决策工具进行孕产妇和围产期保健的情况;2)这些工具是否提高了撒哈拉以南非洲地区孕产妇和围产期保健的质量。方法 将对文献进行系统性综述,以确定描述在 SSA 地区使用移动医疗工具进行孕产妇和围产期临床决策的出版物。将按照预先确定的检索策略在 PubMed、CINAHL、EMBASE、Global Health 和 Web of Science 上检索相关文章,没有日期限制。此外,还将进行有限的灰色文献检索。两名独立审稿人将对文章进行筛选。将提取预先确定的数据项,并采用描述性方法进行数据综合。评估将使用卫生系统指南研究与评估(AGREE-HS)工具进行。结论 该系统综述方案用于确定和评估孕产妇和围产期保健中的移动医疗临床决策工具,有助于确立开发和推广的最佳实践,从而帮助改善撒哈拉以南非洲地区的保健服务。注册 PROSPERO(CRD42023452760;2023 年 8 月 19 日):
mHealth clinical decision-making tools for maternal and perinatal health care in Sub-Saharan Africa: A systematic review protocol
Background Mobile health (mHealth) tools are increasingly being used in Sub-Saharan Africa (SSA) to improve the quality of health services. mHealth clinical decision-making tools have several established roles in maternal and perinatal healthcare including health surveillance, data collection and access to guidelines. The adoption of mHealth clinical decision-making tools in low-resource environments like SSA, as well as the lessons learnt from using them, have not yet been determined. As new mHealth technologies are quickly being evaluated and deployed in resource-poor settings, it is crucial to thoroughly analyse what has been accomplished in order to inform implementers and policy makers on the effectiveness of technology in evidence-based practice. Objective This study aims to synthesize the available evidence 1) on the use of mHealth clinical decision-making tools for maternal and perinatal care in SSA, and 2) whether these tools lead to improvements in the quality of maternal and perinatal care in SSA. Methods A systematic review of the literature will be performed to identify publications describing the use mHealth tools for maternal and perinatal clinical decision-making in SSA. PubMed, CINAHL, EMBASE, Global Health and Web of Science will be searched for relevant articles following a predetermined search strategy with no date restrictions. A limited grey literature search will also be carried out. Two independent reviewers will screen the articles. Pre-determined data items will be extracted, and data synthesis carried out using a descriptive approach. Appraisal will be done using the Appraisal of Guidelines Research and Evaluation Health Systems (AGREE-HS) instrument. Conclusions This systematic review protocol for identifying and appraising mHealth clinical decision-making tools in maternal and perinatal care may help to establish best practice for developing and scaling up, thus help to improve care in SSA. Registration PROSPERO (CRD42023452760; 19 August 2023).: