TY - JOUR
T1 - Enhancing demographic survey protocols to characterise household dynamics that influence health–a participatory approach from rural Eswatini
AU - Brear, Michelle R.
AU - Shabangu, Pinky N.
AU - Hammarberg, Karin
AU - Fisher, Jane
N1 - Funding Information:
We gratefully acknowledge the community members who participated in the research. MB was funded by an Australian Post Graduate Award and a Monash University Faculty of Medicine, Nursing and Health Sciences Postgraduate Excellence Award and a postdoctoral fellowship from the Afromontane Research Unit, University of the Free State (Qwaqwa), South Africa.
Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2022
Y1 - 2022
N2 - Standard Western demographic survey protocols fail to capture dynamics, such as circular migration and support networks, that profoundly influence the health of non-Western domestic social groups, typically called households. Enhanced protocols are needed because survey data provide the primary evidence base for health policy and planning globally. We present the participatory development, implementation and analysis of a novel demographic survey protocol, that aimed to better capture domestic social dynamics in rural Eswatini, southern Africa. The multiple-method study incorporated participatory health research about a community affected by HIV/AIDS, of which the survey formed part, and an ethnography of the participatory survey development process. Analysis of the data revealed limitations in the reliability and validity of standardised survey questions for measuring household membership, in contexts where circular migration and polygamy are common. Standard survey protocols potentiate double-counting members and misclassifying ‘child-headed’ and ‘female-headed’ households. They neglect social and economic dynamics that are known to influence health. Our novel demographic survey protocol provides a simple alternative method for capturing core data about circular migration and its impact on health. The study illustrates the contributions participatory and ethnographic research can make to enhancing demographic surveys.
AB - Standard Western demographic survey protocols fail to capture dynamics, such as circular migration and support networks, that profoundly influence the health of non-Western domestic social groups, typically called households. Enhanced protocols are needed because survey data provide the primary evidence base for health policy and planning globally. We present the participatory development, implementation and analysis of a novel demographic survey protocol, that aimed to better capture domestic social dynamics in rural Eswatini, southern Africa. The multiple-method study incorporated participatory health research about a community affected by HIV/AIDS, of which the survey formed part, and an ethnography of the participatory survey development process. Analysis of the data revealed limitations in the reliability and validity of standardised survey questions for measuring household membership, in contexts where circular migration and polygamy are common. Standard survey protocols potentiate double-counting members and misclassifying ‘child-headed’ and ‘female-headed’ households. They neglect social and economic dynamics that are known to influence health. Our novel demographic survey protocol provides a simple alternative method for capturing core data about circular migration and its impact on health. The study illustrates the contributions participatory and ethnographic research can make to enhancing demographic surveys.
KW - child-headed households
KW - cross-over mixed methods analysis
KW - demographic survey protocols
KW - indigenous knowledge
KW - Participatory health research
UR - https://www.scopus.com/pages/publications/85107442538
U2 - 10.1080/17441692.2021.1936118
DO - 10.1080/17441692.2021.1936118
M3 - Article
C2 - 34061711
AN - SCOPUS:85107442538
SN - 1744-1692
VL - 17
SP - 1699
EP - 1712
JO - Global Public Health
JF - Global Public Health
IS - 8
ER -