Addressing Unintentional Exclusion of Vulnerable and Mobile Households in Traditional Surveys in Kathmandu, Dhaka, and Hanoi: a Mixed-Methods Feasibility Study.
Bangladesh
Cross-sectional design
GeoODK
GridSample
Gridded population sampling
Household survey
Nepal
OpenStreetMap
Urban
Vietnam
Journal
Journal of urban health : bulletin of the New York Academy of Medicine
ISSN: 1468-2869
Titre abrégé: J Urban Health
Pays: United States
ID NLM: 9809909
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
accepted:
11
09
2020
pubmed:
28
10
2020
medline:
25
5
2021
entrez:
27
10
2020
Statut:
ppublish
Résumé
The methods used in low- and middle-income countries' (LMICs) household surveys have not changed in four decades; however, LMIC societies have changed substantially and now face unprecedented rates of urbanization and urbanization of poverty. This mismatch may result in unintentional exclusion of vulnerable and mobile urban populations. We compare three survey method innovations with standard survey methods in Kathmandu, Dhaka, and Hanoi and summarize feasibility of our innovative methods in terms of time, cost, skill requirements, and experiences. We used descriptive statistics and regression techniques to compare respondent characteristics in samples drawn with innovative versus standard survey designs and household definitions, adjusting for sample probability weights and clustering. Feasibility of innovative methods was evaluated using a thematic framework analysis of focus group discussions with survey field staff, and via survey planner budgets. We found that a common household definition excluded single adults (46.9%) and migrant-headed households (6.7%), as well as non-married (8.5%), unemployed (10.5%), disabled (9.3%), and studying adults (14.3%). Further, standard two-stage sampling resulted in fewer single adult and non-family households than an innovative area-microcensus design; however, two-stage sampling resulted in more tent and shack dwellers. Our survey innovations provided good value for money, and field staff experiences were neutral or positive. Staff recommended streamlining field tools and pairing technical and survey content experts during fieldwork. This evidence of exclusion of vulnerable and mobile urban populations in LMIC household surveys is deeply concerning and underscores the need to modernize survey methods and practices.
Identifiants
pubmed: 33108601
doi: 10.1007/s11524-020-00485-z
pii: 10.1007/s11524-020-00485-z
pmc: PMC7873174
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
111-129Subventions
Organisme : Medical Research Council
ID : MR/P024718/1
Pays : United Kingdom
Organisme : Economic and Social Research Council
ID : ES/5500161/1
Références
Int J Health Geogr. 2017 Jul 19;16(1):25
pubmed: 28724433
Lancet. 2017 Feb 4;389(10068):547-558
pubmed: 27760703
BMC Med Res Methodol. 2013 Sep 18;13:117
pubmed: 24047204
BMJ Open. 2018 Nov 25;8(11):e024182
pubmed: 30478123
Lancet. 2017 Feb 4;389(10068):559-570
pubmed: 27760702
J Urban Health. 2019 Dec;96(6):797-812
pubmed: 31218502
Glob Health Action. 2016 Dec 02;9:33163
pubmed: 27924741
J Urban Health. 2007 May;84(3 Suppl):i16-26
pubmed: 17356903
Int J Health Geogr. 2020 Sep 9;19(1):34
pubmed: 32907588
PLoS One. 2016 Sep 29;11(9):e0163798
pubmed: 27685999
PLoS One. 2015 Feb 17;10(2):e0107042
pubmed: 25689585
J Urban Health. 2019 Dec;96(6):795-796
pubmed: 31664602
J Dev Econ. 2012 May 1;98(1):94-107
pubmed: 22582004
Int J Epidemiol. 2004 Jun;33(3):469-76
pubmed: 15020569
BMC Public Health. 2012 Sep 05;12:741
pubmed: 22950896
PLoS One. 2020 Feb 5;15(2):e0226646
pubmed: 32023251