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基于移动设备的艾滋病预防干预对中国凉山农村和低收入人群的有效性:一项涉及医生激励政策的随机对照试验方案。

Effectiveness of a mobile-based HIV prevention intervention for the rural and low-income population involving incentive policy to doctors in Liangshan, China: a randomized controlled trial protocol.

机构信息

School of Public Administration and Humanities, Dalian Maritime University, Dalian, Liaoning, People's Republic of China.

China Center for Health Economic Research, Peking University, Beijing, People's Republic of China.

出版信息

BMC Public Health. 2022 Sep 5;22(1):1682. doi: 10.1186/s12889-022-13930-2.

DOI:10.1186/s12889-022-13930-2
PMID:36064390
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9447340/
Abstract

BACKGROUND

The HIV/AIDS epidemic is a concerning problem in many parts of the world, especially in rural and poor areas. Due to health service inequality and public stigma towards the disease, it is difficult to conduct face-to-face interventions. The widespread use of mobile phones and social media applications thus provide a feasible and acceptable approach for HIV prevention and education delivery in this population. The study aims to develop a generalizable, effective, acceptable, and convenient mobile-based information intervention model to improve HIV-related knowledge, attitudes, practices, and health outcomes in poverty-stricken areas in China and measure the impact of incentive policies on the work of village doctors in Liangshan, China.

METHODS

A randomized controlled trial design is used to evaluate the effectiveness of an 18-month mobile-based HIV prevention intervention, collaborating with local village doctors and consisting of group-based knowledge dissemination and individualized communication on WeChat and the Chinese Version of TikTok in Liangshan, China. Each village is defined as a cluster managed by a village doctor with 20 adults possessing mobile phones randomly selected from different families as participants, totaling 200 villages. Clusters are randomized (1:1:1) to the Control without mobile-based knowledge dissemination, Intervention A with standardized compensation to the village doctors, or Intervention B with performance-based compensation to the village doctors. The intervention groups will receive biweekly messages containing HIV-related educational modules. Data will be collected at baseline and 6-, 12-, and 18-month periods for outcome measurements. The primary outcomes of the study are HIV-related knowledge improvement and the effectiveness of village doctor targeted incentive policies. The secondary outcomes include secondary knowledge transmission, behavioral changes, health outcomes, social factors, and study design's acceptability and reproducibility. These outcomes will be explored via various qualitative and quantitative means.

DISCUSSION

The findings will provide insights into the effectiveness, generalizability, and challenges of the mobile-based HIV prevention intervention for the population living in rural communities with low education levels and will guide the development of similar models in other low-income and culturally isolated regions.

TRIAL REGISTRATION

ClinicalTrial.gov: NCT05015062 ; Registered on June 6, 2022.

摘要

背景

艾滋病在世界许多地区,尤其是农村和贫困地区,是一个令人担忧的问题。由于卫生服务不平等以及公众对该疾病的污名化,面对面干预变得困难。因此,广泛使用手机和社交媒体应用程序为该人群的艾滋病预防和教育提供了一种可行且可接受的方法。本研究旨在开发一种具有普遍适用性、有效性、可接受性和便利性的基于移动的信息干预模式,以提高中国贫困地区与艾滋病相关的知识、态度、行为和健康结果,并衡量激励政策对中国凉山乡村医生工作的影响。

方法

采用随机对照试验设计,评估基于移动的艾滋病预防干预措施的有效性,该措施与当地乡村医生合作,包括在中国凉山地区通过微信群组和中国版 TikTok 进行基于群体的知识传播和个体化交流。每个村庄由一名乡村医生管理,每个医生管理 20 个拥有手机的成年人,这些成年人来自不同家庭,作为参与者,共 200 个村庄。将集群随机(1:1:1)分为对照组(不进行基于移动的知识传播)、干预 A 组(给予乡村医生标准化补偿)或干预 B 组(给予乡村医生基于绩效的补偿)。干预组将每两周收到包含艾滋病相关教育模块的信息。将在基线、6、12 和 18 个月时收集数据,以进行结果测量。研究的主要结果是艾滋病相关知识的提高和针对乡村医生的激励政策的有效性。次要结果包括二级知识传播、行为改变、健康结果、社会因素以及研究设计的可接受性和可重复性。将通过各种定性和定量方法来探索这些结果。

讨论

研究结果将深入了解针对低教育水平农村社区人群的基于移动的艾滋病预防干预措施的有效性、普遍性和挑战,并为在其他低收入和文化隔离地区开发类似模式提供指导。

试验注册

ClinicalTrials.gov:NCT05015062;注册于 2022 年 6 月 6 日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fe7/9447340/9d5b0dad9b64/12889_2022_13930_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fe7/9447340/3e23efc63f6d/12889_2022_13930_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fe7/9447340/9d5b0dad9b64/12889_2022_13930_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fe7/9447340/3e23efc63f6d/12889_2022_13930_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fe7/9447340/9d5b0dad9b64/12889_2022_13930_Fig2_HTML.jpg

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