TY - JOUR
T1 - Addressing Unintentional Exclusion of Vulnerable and Mobile Households in Traditional Surveys in Kathmandu, Dhaka, and Hanoi
T2 - a Mixed-Methods Feasibility Study
AU - Thomson, Dana R.
AU - Bhattarai, Radheshyam
AU - Khanal, Sudeepa
AU - Manandhar, Shraddha
AU - Dhungel, Rajeev
AU - Gajurel, Subash
AU - Hicks, Joseph Paul
AU - Duc, Duong Minh
AU - Ferdoush, Junnatul
AU - Ferdous, Tarana
AU - Urmy, Nushrat Jahan
AU - Shawon, Riffat Ara
AU - Long, Khuong Quynh
AU - Poudel, Ak Narayan
AU - Cartwright, Chris
AU - Wallace, Hilary
AU - Ensor, Tim
AU - Baral, Sushil
AU - Mashreky, Saidur
AU - Huque, Rumana
AU - Van Minh, Hoang
AU - Elsey, Helen
N1 - Funding Information:
This study was funded by the Medical Research Council (MRC) Global Challenges Research Fund (GCRF) grant ID: MR/P024718/1. Dana R Thomson additionally received funding from the UK Economic and Social Research Council (ESRC) grant ID: ES/5500161/1. Acknowledgments
Funding Information:
We would like to thank the city and government authorities in Hanoi, Dhaka, and Kathmandu who supported this study in their cities. We would also like to thank Forrest Stevens and Andrea Gaughan who generated a revised WorldPop gridded population dataset for the Nepal sample frame and Bao Ngoc who contributed to early planning work for the Vietnam survey.
Publisher Copyright:
© 2020, The Author(s).
PY - 2021/2/1
Y1 - 2021/2/1
N2 - 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.
AB - 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.
KW - Bangladesh
KW - Cross-sectional design
KW - GeoODK
KW - Gridded population sampling
KW - GridSample
KW - Household survey
KW - Nepal
KW - OpenStreetMap
KW - Urban
KW - Vietnam
UR - https://www.scopus.com/pages/publications/85094155230
U2 - 10.1007/s11524-020-00485-z
DO - 10.1007/s11524-020-00485-z
M3 - Article
C2 - 33108601
AN - SCOPUS:85094155230
SN - 1099-3460
VL - 98
SP - 111
EP - 129
JO - Journal of Urban Health
JF - Journal of Urban Health
IS - 1
ER -