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在南非常规卫生信息管理系统中纳入重点人群唯一标识符代码的试点研究:多阶段研究方案。

Piloting the Inclusion of the Key Populations Unique Identifier Code in the South African Routine Health Information Management System: Protocol for a Multiphased Study.

机构信息

South African Medical Research Council/University of Johannesburg (SAMRC/UJ) Pan African Centre for Epidemics Research (PACER) Extramural Unit, Johannesburg, South Africa.

Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.

出版信息

JMIR Res Protoc. 2024 Sep 6;13:e55092. doi: 10.2196/55092.

DOI:10.2196/55092
PMID:39240683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11415720/
Abstract

BACKGROUND

The global community has set an ambitious goal to end HIV/AIDS as a public health threat by 2030. Significant progress has been achieved in pursuing these objectives; however, concerns remain regarding the lack of disaggregated routine data for key populations (KPs) for a targeted HIV response. KPs include female sex workers, transgender populations, gay men and other men who have sex with men, people who are incarcerated, and people who use drugs. From an epidemiological perspective, KPs play a fundamental role in shaping the dynamics of HIV transmission due to specific behaviors. In South Africa, routine health information management systems (RHIMS) do not include a unique identifier code (UIC) for KPs. The purpose of this protocol is to develop the framework for improved HIV monitoring and programming through piloting the inclusion of KPs UIC in the South African RHIMS.

OBJECTIVE

This paper aims to describe the protocol for a multiphased study to pilot the inclusion of KPs UIC in RHIMS.

METHODS

We will conduct a multiphased study to pilot the framework for the inclusion of KPs UIC in the RHIMS. The study has attained the University of Johannesburg Research Ethics Committee approval (REC-2518-2023). This study has four objectives, including a systematic review, according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (objective 1). Second, policy document review and in-depth stakeholder interviews using semistructured questionnaires (objective 2). Third, exploratory data analysis of deidentified HIV data sets (objective 3), and finally, piloting the framework to assess the feasibility of incorporating KPs UIC in RHIMS using findings from objectives 1, 2, and 3 (objective 4). Qualitative and quantitative data will be analyzed using ATLAS.ti (version 6; ATLAS.ti Scientific Software Development GmbH) and Python (version 3.8; Python Software Foundation) programming language, respectively.

RESULTS

The results will encompass a systematic review of literature, qualitative interviews, and document reviews, along with exploratory analysis of deidentified routine program data and findings from the pilot study. The systematic review has been registered in PROSPERO (International Prospective Register of Systematic Reviews; CRD42023440656). Data collection is planned to commence in September 2024 and expected results for all objectives will be published by December 2025.

CONCLUSIONS

The study will produce a framework to be recommended for the inclusion of the KP UIC national rollout. The study results will contribute to the knowledge base around the inclusion of KPs UIC in RHIMS data.

TRIAL REGISTRATION

PROSPERO CRD42023440656; https://tinyurl.com/msnppany.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/55092.

摘要

背景

全球社会设定了一个雄心勃勃的目标,即在 2030 年之前终结艾滋病作为公共卫生威胁。在追求这些目标方面已经取得了重大进展;然而,人们仍然关注缺乏针对关键人群(KP)的分类常规数据,无法对艾滋病做出有针对性的应对。KP 包括性工作者、跨性别群体、男同性恋和其他男男性行为者、被监禁者以及吸毒者。从流行病学的角度来看,KP 由于其特定行为,在塑造艾滋病传播动态方面发挥着重要作用。在南非,常规卫生信息管理系统(RHIMS)中没有为 KP 提供唯一标识符代码(UIC)。本研究旨在通过试点将 KP UIC 纳入南非 RHIMS,制定改善艾滋病监测和规划的框架。

目的

本文旨在描述一项多阶段研究的方案,该研究旨在试点将 KP UIC 纳入 RHIMS。

方法

我们将开展一项多阶段研究,以试点将 KP UIC 纳入 RHIMS 的框架。该研究已获得约翰内斯堡大学研究伦理委员会的批准(REC-2518-2023)。本研究有四个目标,包括根据 PRISMA(系统评价和荟萃分析的首选报告项目)指南进行的系统评价(目标 1)。其次,进行政策文件审查和使用半结构化问卷的利益相关者深度访谈(目标 2)。第三,对去标识化的艾滋病数据集进行探索性数据分析(目标 3),最后,根据目标 1、2 和 3 的结果,试点该框架,评估将 KP UIC 纳入 RHIMS 的可行性(目标 4)。将分别使用 ATLAS.ti(版本 6;ATLAS.ti Scientific Software Development GmbH)和 Python(版本 3.8;Python Software Foundation)编程语言分析定性和定量数据。

结果

研究结果将包括文献系统评价、定性访谈和文件审查,以及对去标识化常规计划数据的探索性分析和试点研究结果。系统评价已在 PROSPERO(国际前瞻性系统评价注册库;CRD42023440656)中注册。预计数据收集将于 2024 年 9 月开始,所有目标的预期结果将于 2025 年 12 月公布。

结论

该研究将制定一个框架,建议在全国范围内纳入 KP UIC。该研究结果将为 RHIMS 数据中纳入 KP UIC 提供知识基础。

试验注册

PROSPERO CRD42023440656;https://tinyurl.com/msnppany。

国际注册报告标识符(IRRID):PRR1-10.2196/55092。

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