Department of Pediatrics & Child Health, Center of Excellence in Women & Child Health, Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
Department of Obstetrics & Gynecology, Aga Khan University, Karachi, Pakistan.
BMC Med Res Methodol. 2021 Feb 18;21(1):38. doi: 10.1186/s12874-021-01216-x.
Data collection is the most critical stage in any population health study and correctly implementing fieldwork enhances the quality of collected information. However, even the most carefully planned large-scale household surveys can encounter many context-specific issues. This paper reflected on our research team's recent experience conducting surveys for a quasi-experimental evaluation of a reproductive health program in urban areas of Karachi, Pakistan. We aim to describe the issues encountered and lessons learned from this process, and present some potential solutions for conducting future household surveys in similar urban environments.
The study followed a three-stage random sampling design. Initially, a Geographical Information System (GIS) was used to construct the sampling frame with union council (UC) area mapping and cluster demarcation followed by random selection of clusters in the selected UCs within the intervention and control sites. The second stage involved a complete household listing in selected clusters and the final stage was a random sampling of households with eligible women.
This paper describes the issues that were encountered including technical problems related to GIS demarcation of cluster boundaries and hand-held devices for computer assisted personal interviews (CAPI), household listing, interviewing respondents on sensitive topics and their expectations, and ensuring privacy during the survey.
This study identifies a number of unique barriers to conducting household surveys in Karachi and highlights some key lessons for survey research in urban settlements. GIS mapping technology is a cost-effective method for developing sampling frames in resource-constrained settings. Secondly, the strategy of interviewing women immediately after the cluster is listed may be applied to make it easier to re-locate selected respondents and to reduce loss-to-follow up. Understanding local norms and developing culturally appropriate strategies to build trust with communities may significantly improve survey participation. Researchers should hire experienced female enumerators and provide continuous training on best practices for interviewing women on sensitive reproductive health topics in urban communities.
数据收集是任何人群健康研究中最关键的阶段,正确实施实地工作可以提高所收集信息的质量。然而,即使是经过精心规划的大规模家庭调查也可能会遇到许多特定于背景的问题。本文反映了我们研究团队最近在巴基斯坦卡拉奇市城区进行一项生殖健康方案的准实验评估调查时的经验。我们旨在描述在此过程中遇到的问题和从中吸取的教训,并为在类似城市环境中进行未来的家庭调查提出一些潜在的解决方案。
该研究采用了三阶段随机抽样设计。首先,使用地理信息系统(GIS)构建抽样框架,进行联盟理事会(UC)区域映射和聚类划定,然后在干预和对照地点的选定 UC 内随机选择聚类。第二阶段涉及在选定的聚类中进行完整的家庭列表,最后阶段是对符合条件的女性家庭进行随机抽样。
本文描述了所遇到的问题,包括与 GIS 聚类边界划定和手持设备用于计算机辅助个人访谈(CAPI)相关的技术问题、家庭列表、对敏感话题和其期望的受访者进行访谈以及在调查过程中确保隐私。
本研究确定了在卡拉奇进行家庭调查所面临的一些独特障碍,并为城市住区的调查研究提供了一些关键经验教训。GIS 制图技术是在资源有限的环境中开发抽样框架的一种具有成本效益的方法。其次,在聚类列出后立即对妇女进行访谈的策略可能适用于更容易重新定位选定的受访者并减少失访的情况。了解当地规范并制定文化上适当的策略来与社区建立信任,可以显著提高调查参与度。研究人员应雇用经验丰富的女性普查员,并提供有关在城市社区中对敏感生殖健康问题对妇女进行访谈的最佳实践的持续培训。