Addressing Unintentional Exclusion of Vulnerable and Mobile Households in Traditional Surveys in Kathmandu, Dhaka, and Hanoi: a Mixed-Methods Feasibility Study.

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 vu...

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Publicado en:Journal of Urban Health Vol. 98; no. 1; pp. 111 - 130
Autores principales: Thomson, Dana R., Bhattarai, Radheshyam, Khanal, Sudeepa, Manandhar, Shraddha, Dhungel, Rajeev, Gajurel, Subash, Hicks, Joseph Paul, Duc, Duong Minh, Ferdoush, Junnatul, Ferdous, Tarana, Urmy, Nushrat Jahan, Shawon, Riffat Ara, Long, Khuong Quynh, Poudel, Ak Narayan, Cartwright, Chris, Wallace, Hilary, Ensor, Tim, Baral, Sushil, Mashreky, Saidur, Huque, Rumana
Formato: Artículo
Publicado: Springer Nature Feb2021
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Addressing Unintentional Exclusion of Vulnerable and Mobile Households in Traditional Surveys in Kathmandu, Dhaka, and Hanoi: a Mixed-Methods Feasibility Study.
      aug:
        au:
          Thomson, Dana R.
          Bhattarai, Radheshyam
          Khanal, Sudeepa
          Manandhar, Shraddha
          Dhungel, Rajeev
          Gajurel, Subash
          Hicks, Joseph Paul
          Duc, Duong Minh
          Ferdoush, Junnatul
          Ferdous, Tarana
          Urmy, Nushrat Jahan
          Shawon, Riffat Ara
          Long, Khuong Quynh
          Poudel, Ak Narayan
          Cartwright, Chris
          Wallace, Hilary
          Ensor, Tim
          Baral, Sushil
          Mashreky, Saidur
          Huque, Rumana
        affil:
          Department of Demography and Social Statistics, University of Southampton, Highfield Campus Building 58, SO17 1BJ, Southampton, UK
          Health Research and Social Development Forum-International, Kathmandu, Nepal
          Nuffield Centre for International Health and Development, University of Leeds, Leeds, UK
          Hanoi University of Public Health, Hanoi, Vietnam
          Centre for Injury Prevention and Research – Bangladesh, Dhaka, Bangladesh
          Advancement through Research and Knowledge Foundation, Dhaka, Bangladesh
          School of Medicine, The University of Notre Dame Australia, Fremantle, WA, Australia
      su:
        Kathmandu (Nepal)
        Household surveys
        City dwellers
        Adults
        Feasibility studies
        Regression analysis
        Middle-income countries
      sug:
        subj:
          Household surveys
          City dwellers
          Adults
          Kathmandu (Nepal)
          Feasibility studies
          Regression analysis
          Middle-income countries
      keyword:
        Bangladesh
        Cross-sectional design
        GeoODK
        Gridded population sampling
        GridSample
        Household survey
        Nepal
        OpenStreetMap
        Urban
        Vietnam
        Bangladesh
        Cross-sectional design
        GeoODK
        Gridded population sampling
        GridSample
        Household survey
        Nepal
        OpenStreetMap
        Urban
        Vietnam
      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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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