Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
London School of Hygiene and Tropical Medicine, London, United Kingdom.
JMIR Public Health Surveill. 2021 Nov 12;7(11):e29020. doi: 10.2196/29020.
Population-based health surveys are typically conducted using face-to-face household interviews in low- and middle-income countries (LMICs). However, telephone-based surveys are cheaper, faster, and can provide greater access to hard-to-reach or remote populations. The rapid growth in mobile phone ownership in LMICs provides a unique opportunity to implement novel data collection methods for population health surveys.
This study aims to describe the development and population representativeness of a mobile phone survey measuring live poultry exposure in urban Bangladesh.
A population-based, cross-sectional, mobile phone survey was conducted between September and November 2019 in North and South Dhaka City Corporations (DCC), Bangladesh, to measure live poultry exposure using a stratified probability sampling design. Data were collected using a computer-assisted telephone interview platform. The call operational data were summarized, and the participant data were weighted by age, sex, and education to the 2011 census. The demographic distribution of the weighted sample was compared with external sources to assess population representativeness.
A total of 5486 unique mobile phone numbers were dialed, with 1047 respondents completing the survey. The survey had an overall response rate of 52.2% (1047/2006) and a co-operation rate of 89.0% (1047/1176). Initial results comparing the sociodemographic profile of the survey sample to the census population showed that mobile phone sampling slightly underrepresented older individuals and overrepresented those with higher secondary education. After weighting, the demographic profile of the sample population matched well with the latest DCC census population profile.
Probability-based mobile phone survey sampling and data collection methods produced a population-representative sample with minimal adjustment in DCC, Bangladesh. Mobile phone-based surveys can offer an efficient, economic, and robust way to conduct surveillance for population health outcomes, which has important implications for improving population health surveillance in LMICs.
基于人群的健康调查通常在中低收入国家（LMICs）采用面对面的家庭访谈方式进行。然而，电话调查更便宜、更快，并且可以更方便地接触到难以到达或偏远地区的人群。LMICs 中移动电话拥有量的快速增长为人群健康调查提供了一种新颖的数据收集方法的独特机会。
本研究旨在描述一种用于测量孟加拉国城市活禽暴露情况的基于移动电话的调查的开发和人口代表性。
2019 年 9 月至 11 月，在孟加拉国的达卡市北部和南部市政公司（DCC）进行了一项基于人群的横断面移动电话调查，采用分层概率抽样设计来测量活禽暴露情况。使用计算机辅助电话访谈平台收集数据。总结了呼叫操作数据，并根据年龄、性别和教育程度对参与者数据进行加权，以与 2011 年的人口普查相匹配。将加权样本的人口统计分布与外部来源进行比较，以评估人口代表性。
共拨打了 5486 个唯一的移动电话号码，有 1047 名受访者完成了调查。调查的总应答率为 52.2%（1047/2006），合作率为 89.0%（1047/1176）。将调查样本的社会人口统计学特征与人口普查人口进行初步比较后，结果表明移动电话抽样略微低估了年龄较大的人群，高估了具有高中教育程度的人群。经过加权后，样本人口的人口统计特征与最新的 DCC 人口普查人口特征非常吻合。
基于概率的移动电话调查抽样和数据收集方法在孟加拉国的 DCC 产生了一个具有代表性的样本，仅需进行最小调整。基于移动电话的调查可以为人群健康结果的监测提供一种高效、经济和可靠的方法，这对改善 LMICs 的人口健康监测具有重要意义。
