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在肯尼亚农村,对一个基于社区的移动医疗辅助心血管疾病风险筛查项目的关键评估:一项运营研究。

Critical appraisal of a mHealth-assisted community-based cardiovascular disease risk screening program in rural Kenya: an operational research study.

机构信息

Department of Medicine, McMaster University , Hamilton, Ontario, Canada.

Department of community engagement, Kenya Medical Research Institute , Kisumu, Kenya.

出版信息

Pathog Glob Health. 2020 Oct;114(7):379-387. doi: 10.1080/20477724.2020.1816286. Epub 2020 Sep 8.

Abstract

Community health workers (CHWs) can participate in the cascade of hypertension and diabetes management in low and middle-income countries (LMICs). Their services may be enhanced with mobile health (mHealth) tools. In this operational research study, we describe the AFYACHAT mHealth-assisted cardiovascular health screening program in rural Kenya. In this study, A CHW screened a convenience sample of adults ≥ 40 years old in rural Kenya for cardiovascular disease (CVD) risk using the two-way AFYACHAT mHealth instrument. AFYACHAT analyzes a patient's age, sex, smoking, diabetes and systolic blood pressure and provides a four-tiered 10-year CVD risk score. User acceptability was assessed by an end-of-study interview with the CWH. Automated error logs were analyzed. Patient satisfaction was measured with a six-question satisfaction questionnaire. Screened participants with high CVD risk were followed-up via telephone to explore any actions taken following screening. In 24 months, one CHW screened 1650 participants using AFYACHAT. The 10-year risk of CVD was <10% for 1611 (98%) patients, 10 to <20% for 26 (1.6%), 20 to <30% in 12 (0.7%), and ≥30% for 1 (0.1%). The point prevalence of hypertension and diabetes was 27% and 1.9%, respectively. Seventy-five percent of participants with elevated CVD risk sought further medical care. There was high acceptability, a 15% miscode error rate, and high participant satisfaction with the screening program. Our operational research outlines how AFYACHAT mHealth tool can assist CHW perform rapid CVD screening; this provides a model framework for non-communicable disease screening in LMICs.

摘要

社区卫生工作者(CHW)可以参与中低收入国家(LMIC)的高血压和糖尿病管理级联。移动健康(mHealth)工具可以增强他们的服务。在这项运营研究中,我们描述了肯尼亚农村地区的 AFYACHAT mHealth 辅助心血管健康筛查计划。在这项研究中,一名 CHW 使用双向 AFYACHAT mHealth 工具对肯尼亚农村地区 40 岁以上的成年人进行心血管疾病(CVD)风险筛查。AFYACHAT 分析患者的年龄、性别、吸烟、糖尿病和收缩压,并提供四级 10 年 CVD 风险评分。通过与 CHW 的结束研究访谈评估用户可接受性。对自动错误日志进行了分析。使用六题满意度问卷衡量患者满意度。对高 CVD 风险的筛查参与者进行随访,通过电话探讨筛查后采取的任何行动。在 24 个月内,一名 CHW 使用 AFYACHAT 筛查了 1650 名参与者。1611 名(98%)患者的 CVD 风险 10 年<10%,26 名(1.6%)患者 10-<20%,12 名(0.7%)患者 20-<30%,1 名(0.1%)患者≥30%。高血压和糖尿病的点患病率分别为 27%和 1.9%。75%的 CVD 风险升高的参与者寻求进一步的医疗护理。该筛查计划具有很高的可接受性、15%的错误代码错误率和很高的患者满意度。我们的运营研究概述了 AFYACHAT mHealth 工具如何帮助 CHW 进行快速 CVD 筛查;这为中低收入国家的非传染性疾病筛查提供了一个模型框架。

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