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卢旺达社区卫生工作者基于社区的 COVID-19 筛查的移动医疗应用(e-ASCov)的可行性、可接受性、满意度和挑战:混合方法研究。

Feasibility, Acceptability, Satisfaction, and Challenges of an mHealth App (e-ASCov) for Community-Based COVID-19 Screening by Community Health Workers in Rwanda: Mixed Methods Study.

机构信息

UMR 1319 INSPIIRE, INSERM, Université de Lorraine, Vandoeuvre-Lès-Nancy, France.

CHRU Nancy, INSERM, Université de Lorraine, CIC Clinical Epidemiology, Vandoeuvre-Lès-Nancy, France.

出版信息

JMIR Mhealth Uhealth. 2024 Oct 14;12:e50745. doi: 10.2196/50745.

Abstract

BACKGROUND

Although at the base of the pyramid-shaped organization of the Rwandan health system, community health workers (CHWs) are central to the community-based management of disease outbreaks.

OBJECTIVE

This mixed methods study aimed to explore the feasibility, acceptability, satisfaction, and challenges of a mobile health (mHealth) tool for community-based COVID-19 screening in Rwanda.

METHODS

Two urban (Gasabo and Nyarugenge) and 2 rural (Rusizi and Kirehe) districts in Rwanda participated in the project (smartphone app for COVID-19 screening). A mixed methods approach was used to inform the feasibility (awareness and expectation), acceptability (use and perceived benefits), satisfaction, and challenges of the mHealth intervention. At the end of the project, CHWs were asked to complete a quantitative questionnaire on the use of and satisfaction with the app. Then, in-depth interviews and focus group discussions were organized with CHWs. A content analysis was performed on the transcripts.

RESULTS

Overall, 383 CHWs were recruited and trained; 378 CHWs participated in the study. The mean age of CHWs was 36.7 (SD 6.6) to 45.3 (SD 9.9) years and most were women (237/378, 62.7%). More than 7000 people were registered with the use of the app and 20% were referred to a local COVID-19 testing facility. According to CHW reporting, the median number of people screened by each CHW ranged from 152 (IQR 70-276) for Nyarugenge to 24 (IQR 16-90) for Rusizi. COVID-19 positivity rates were higher in urban than rural districts: more than half of the CHWs in Gasabo reported a confirmed positive case versus only 2.4% for Kirehe and 15.4% for Rusizi. Despite the app being a novel tool, CHWs were well aware of the use of such a tool and had appropriate expectations. Acceptability and satisfaction were very high, with differences between urban and rural districts. Satisfaction was higher in Nyarugenge (72.8/100) and Gasabo (80.7/100) than in Kirehe (61.6/100) and Rusizi (64.5/100). More than 80% of the CHWs were willing to continue using the e-ASCov app, with the exception of CHWs in Kirehe (56.7%). The app was perceived as a tool to generate information on COVID-19, inform on the status of the pandemic, and help curb the spread of the pandemic in Rwanda. CHWs were satisfied with the app at all stages of its implementation in their districts.

CONCLUSIONS

In this proof-of-concept study, a smartphone app for screening COVID-19 was useful as an mHealth tool to be used by CHWs, with the potential to increase health system efficiency in an epidemic context. The context should be analyzed for generalization on a country-wide scale, both in case of an epidemic and to take into account certain conditions at the community level. Information is needed on the conditions of generalization and transferability of this type of app to other health conditions so that CHWs can be given their full place in a pyramidal health system.

摘要

背景

尽管在卢旺达卫生系统的金字塔形组织结构的基础上,社区卫生工作者(CHWs)是基于社区的疾病爆发管理的核心。

目的

本混合方法研究旨在探讨一种移动健康(mHealth)工具在卢旺达基于社区的 COVID-19 筛查中的可行性、可接受性、满意度和挑战。

方法

卢旺达两个城市(Gasabo 和 Nyarugenge)和两个农村地区(Rusizi 和 Kirehe)参与了该项目(用于 COVID-19 筛查的智能手机应用程序)。采用混合方法来了解 mHealth 干预措施的可行性(意识和期望)、可接受性(使用和感知益处)、满意度和挑战。在项目结束时,要求 CHWs 完成一份关于使用和满意度的定量问卷。然后,与 CHWs 组织了深入访谈和焦点小组讨论。对记录的文字进行了内容分析。

结果

共有 383 名 CHWs 接受了培训并招募;378 名 CHWs 参与了研究。CHWs 的平均年龄为 36.7(SD 6.6)至 45.3(SD 9.9)岁,大多数为女性(237/378,62.7%)。超过 7000 人使用该应用程序进行注册,其中 20%被转介到当地 COVID-19 检测机构。根据 CHW 的报告,每位 CHW 筛查的人数中位数范围从 Nyarugenge 的 152(IQR 70-276)到 Rusizi 的 24(IQR 16-90)。城市地区的 COVID-19 阳性率高于农村地区:Gasabo 的大多数 CHW 报告了确诊阳性病例,而 Kirehe 为 2.4%,Rusizi 为 15.4%。尽管该应用程序是一种新颖的工具,但 CHWs 非常了解此类工具的使用,并抱有适当的期望。接受度和满意度非常高,城市和农村地区存在差异。Nyarugenge(72.8/100)和 Gasabo(80.7/100)的满意度高于 Kirehe(61.6/100)和 Rusizi(64.5/100)。超过 80%的 CHWs 愿意继续使用电子 ASCov 应用程序,Kirehe 的 CHWs 除外(56.7%)。该应用程序被认为是一种生成 COVID-19 信息、了解大流行状况并帮助遏制卢旺达大流行传播的工具。CHWs 对该应用程序在其所在地区的各个阶段的实施都感到满意。

结论

在这项概念验证研究中,用于筛查 COVID-19 的智能手机应用程序作为 CHWs 使用的 mHealth 工具非常有用,有可能提高大流行背景下的卫生系统效率。应分析该应用程序在全国范围内推广的背景,包括大流行情况和社区层面的某些条件。需要了解将这种类型的应用程序推广到其他健康状况的条件和可转移性,以便赋予 CHWs 在金字塔形卫生系统中的全部地位。

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Cell. 2021 Sep 16;184(19):4848-4856. doi: 10.1016/j.cell.2021.08.017. Epub 2021 Aug 19.
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Epidemiological and spatio-temporal characteristics of COVID-19 in Rwanda.卢旺达新冠疫情的流行病学及时空特征
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