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社区主导监测对南非卫生系统的变革性影响:全面分析。

The Transformative Impact of Community-Led Monitoring in the South African Health System: A Comprehensive Analysis.

机构信息

The Best Health Solutions, Johannesburg, South Africa.

Center for Health Policy, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

出版信息

Int J Public Health. 2024 Feb 14;69:1606591. doi: 10.3389/ijph.2024.1606591. eCollection 2024.

Abstract

Community-led monitoring (CLM) is an emerging approach that empowers local communities to actively participate in data collection and decision-making processes within the health system. The research aimed to explore stakeholder perceptions of CLM data and establish a CLM Data Value Chain, covering data collection and its impact. Qualitative data were collected from stakeholders engaged in health programs in South Africa. Data analysis involved a collaborative workshop that integrated elements of affinity diagramming, thematic analysis, and the systematic coding process outlined in Giorgi's method. The workshop fostered joint identification, co-creation of knowledge, and collaborative analysis in developing the data value chain. The findings showed that CLM data enabled community-level analysis, fostering program advocacy and local collaboration. It enhanced program redesign, operational efficiency, and rapid response capabilities. Context-specific solutions emerged through the CLM Data Value Chain, promoting sustainable and efficient program implementation. CLM is a powerful tool for improving program implementation, quality, and advocacy in South African healthcare. It strengthens accountability, trust, and transparency by involving local communities in data-driven decision-making. CLM addresses context-specific challenges and tailors interventions to local needs.

摘要

社区主导监测(CLM)是一种新兴方法,它使当地社区能够积极参与卫生系统内的数据收集和决策过程。本研究旨在探讨利益相关者对 CLM 数据的看法,并建立 CLM 数据价值链,涵盖数据收集及其影响。定性数据是从参与南非卫生项目的利益相关者那里收集的。数据分析涉及一个协作研讨会,该研讨会整合了亲和图、主题分析以及 Giorgi 方法中概述的系统编码过程的要素。该研讨会促进了共同确定、共同创造知识以及在开发数据价值链方面的协作分析。研究结果表明,CLM 数据能够进行社区层面的分析,促进项目宣传和地方合作。它增强了项目的重新设计、运营效率和快速响应能力。通过 CLM 数据价值链出现了具体情况具体分析的解决方案,促进了项目的可持续和高效实施。CLM 是改进南非医疗保健项目实施、质量和宣传的有力工具。它通过让当地社区参与数据驱动的决策,加强问责制、信任和透明度。CLM 解决了具体情况的挑战,并根据当地需求调整干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc17/10899425/767b1ac95786/ijph-69-1606591-g001.jpg

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