在南部非洲进行社区随机试验中使用广泛调查的价值和局限性。
Value and Limitations of Broad Brush Surveys Used in Community-Randomized Trials in Southern Africa.
机构信息
1 Zambart, School of Public Health, University of Zambia, Lusaka, Zambia.
2 Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.
出版信息
Qual Health Res. 2019 Apr;29(5):700-718. doi: 10.1177/1049732318809940. Epub 2018 Dec 17.
We describe and reflect on a rapid qualitative survey approach called "Broad Brush Survey" (BBS) used in six community-randomized trials (CRTs)/studies in Zambia and South Africa (2004-2018) to document, compare, classify, and communicate community features systematically for public health and multidisciplinary research ends. BBS is based on a set sequence of participatory qualitative methods and fieldwork carried out prior to a CRT intervention and/or research by social scientists to generate rapid community profiles using four key indicators: physical features, social organization, networks, and community narratives. Profiling makes apparent similarities and differences, enabling comparison across communities and can be facilitated by an ideal model of open-closed systems. Findings have provided practical outputs (e.g., community profiles) and academic opportunities (e.g., community typologies). The BBS approach enables complex social landscapes to be incorporated in CRTs. This method has proven to be useful, adaptable and to have multidisciplinary appeal.
我们描述并反思了一种快速定性调查方法,称为“广泛调查”(BBS),该方法在赞比亚和南非的六项社区随机试验(CRT)/研究中使用(2004-2018 年),以系统地记录、比较、分类和交流社区特征,用于公共卫生和多学科研究目的。BBS 基于一系列参与式定性方法和社会科学家在 CRT 干预和/或研究之前进行的实地工作,使用四个关键指标生成快速社区概况:物理特征、社会组织、网络和社区叙述。概况分析揭示了相似之处和差异,使社区之间的比较成为可能,并且可以通过开放-封闭系统的理想模型来促进。研究结果提供了实际产出(例如,社区概况)和学术机会(例如,社区类型学)。BBS 方法使复杂的社会景观能够融入 CRT 中。该方法已被证明是有用的、适应性强的,并且具有多学科吸引力。
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