Background: Mobile phone surveys are gaining traction in low- and middle-income countries, but mobile phone ownership (MPO) is not universal, potentially introducing sample selection bias in ensuing estimates. Objective: To evaluate MPO-associated sample selection bias in adult mortality estimates from sibling survival histories (SSH) administered to women of reproductive age. Methods: Using data from 25 Demographic and Health Surveys, we (1) used logistic regression to assess the association between MPO and sociodemographic background characteristics; (2) used SSH to compare the probability of dying in adulthood (45q15) in a general population sample of women of reproductive age and a subsample of women who own a mobile phone, (3) and evaluated the use of post-stratification weighting to correct bias in adult mortality estimates derived from the subsample of mobile phone owners. Results: MPO correlated with sociodemographic characteristics in a predictable fashion. Summary indices of adult mortality (45q15) using data on siblings from respondents who owned a mobile phone aligned with the general population estimate in 20 out of 25 countries. Significant bias was identified in Papua New Guinea, Burundi, Rwanda, Haiti, and Zimbabwe, with the estimate being typically lower when based on reports of mobile phone owners. Where it existed, bias was most pronounced at either end of the age spectrum (15–24 and 45–59). Post-stratification weighting alleviated this bias to levels that were no longer statistically significant, but the correction was not always in the desired direction. Conclusions: MPO-associated selection bias in adult mortality estimates from SSH is generally modest. Post-stratification weighting on respondents’ background characteristics does not always produce a correction in the expected direction and is to be used with caution. Contribution: This study advances our understanding of sample selection bias in mobile phone survey estimates of demographic indicators.

中文翻译：

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手机调查成人死亡率估计的样本选择偏倚：来自 25 个低收入和中等收入国家的证据（作者：Sahar Ahmed、Julio Romero-Prieto、David A. Sánchez-Páez、Bruno Masquelier、Tom Pullum、Georges Reniers）


背景：手机调查在低收入和中等收入国家越来越受欢迎，但手机拥有率 （MPO） 并不普遍，这可能会在随后的估计中引入样本选择偏差。目的： 评估对育龄妇女施用兄弟姐妹生存史 （SSH） 的成人死亡率估计中与 MPO 相关的样本选择偏倚。方法：使用来自 25 项人口和健康调查的数据，我们 （1） 使用 logistic 回归来评估 MPO 与社会人口背景特征之间的关联;（2） 使用 SSH 比较育龄妇女的一般人群样本和拥有手机的妇女子样本的成年死亡概率 （45q15），（3） 并评估使用分层后加权来纠正来自手机所有者子样本的成人死亡率估计的偏差。结果：MPO 以可预测的方式与社会人口学特征相关。成人死亡率汇总指数 （45q15），使用拥有移动电话的受访者的兄弟姐妹数据，与 25 个国家中 20 个国家的总体人口估计一致。在巴布亚新几内亚、布隆迪、卢旺达、海地和津巴布韦发现了显著的偏倚，如果根据手机用户的报告，估计值通常较低。在存在偏见的地方，偏见在年龄谱的两端（15-24 岁和 45-59 岁）最为明显。分层后加权将这种偏差减轻到不再具有统计学意义的水平，但校正并不总是朝着理想的方向发展。结论：在 SSH 的成人死亡率估计中，MPO 相关的选择偏倚通常是适度的。 对受访者背景特征进行分层后加权并不总是能在预期方向上产生修正，因此应谨慎使用。贡献： 本研究促进了我们对手机调查人口统计指标估计中样本选择偏差的理解。