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