Gender-related data missingness, imbalance and bias in global health surveys
- PMID: 34836912
- PMCID: PMC8628344
- DOI: 10.1136/bmjgh-2021-007405
Gender-related data missingness, imbalance and bias in global health surveys
Abstract
Global surveys have built-in gender-related biases associated with data missingness across the gender dimensions of people's lives, imbalanced or incomplete representation of population groups, and biased ways in which gender information is elicited and used. While increasing focus is being placed on the integration of sex-disaggregated statistics into national programmes and on understanding effects of gender-based disparities on the health of all people, the data necessary for elucidating underlying causes of gender disparities and designing effective intervention programmes continue to be lacking. Approaches exist, however, that can reasonably address some shortcomings, such as separating questions of gender identification from biological sex. Qualitative research can elucidate ways to rephrase questions and translate gendered terms to avoid perpetuating historical gender biases and prompting biased responses. Non-health disciplines may offer lessons in collecting gender-related data. Ultimately, multidisciplinary global collaborations are needed to advance this evolving field and to set standards for how we measure gender in all its forms.
Keywords: epidemiology; health policy; public health.
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.
Conflict of interest statement
Competing interests: Development of this paper was funded by grant #OPP1140262 from the Bill & Melinda Gates Foundation to Stanford University. The funder had no role in the writing of this manuscript.
Figures
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical