TY - JOUR
T1 - Constructing comparable intimate partner violence indicators across the DHS, MICS, and PMA health surveys
AU - Kristiansen, Devon
AU - Luetke, Maya
AU - Gunther, Matt
AU - King, Miriam
AU - Bolgrien, Anna
AU - Munir, Mehr
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/9
Y1 - 2024/9
N2 - We construct comparable indicators that measure the prevalence of recent intimate partner violence (IPV) using publicly available, integrated microdata within the IPUMS data collections across many countries. The objective of this work is to increase opportunities for comparative research by leveraging vast quantities of harmonized data. We use consistent and comparable variables that measure domestic violence in international health surveys. The most consistent indicators of domestic violence measure physical, psychological, and sexual IPV in the last 12 months. We imposed a consistent reference period and restricted to a comparable subpopulation where these differed across surveys. Aggregating IPV variables across surveys, without careful attention to question wording and subpopulations, may produce inconsistent measures leading to bias, over- or under-estimation of IPV prevalence, or spurious trends and associations. Using comparable indicators in microdata and studying the level, distribution, and covariates of IPV in multiple settings over time, we can better understand these phenomena and identify effective policy interventions.
AB - We construct comparable indicators that measure the prevalence of recent intimate partner violence (IPV) using publicly available, integrated microdata within the IPUMS data collections across many countries. The objective of this work is to increase opportunities for comparative research by leveraging vast quantities of harmonized data. We use consistent and comparable variables that measure domestic violence in international health surveys. The most consistent indicators of domestic violence measure physical, psychological, and sexual IPV in the last 12 months. We imposed a consistent reference period and restricted to a comparable subpopulation where these differed across surveys. Aggregating IPV variables across surveys, without careful attention to question wording and subpopulations, may produce inconsistent measures leading to bias, over- or under-estimation of IPV prevalence, or spurious trends and associations. Using comparable indicators in microdata and studying the level, distribution, and covariates of IPV in multiple settings over time, we can better understand these phenomena and identify effective policy interventions.
KW - Comparability
KW - Harmonization
KW - Intimate partner violence
UR - https://www.scopus.com/pages/publications/85198525664
UR - https://www.scopus.com/pages/publications/85198525664#tab=citedBy
U2 - 10.1057/s41271-024-00503-3
DO - 10.1057/s41271-024-00503-3
M3 - Article
C2 - 38997471
AN - SCOPUS:85198525664
SN - 0197-5897
VL - 45
SP - 537
EP - 542
JO - Journal of Public Health Policy
JF - Journal of Public Health Policy
IS - 3
ER -