Literature DB >> 33108601

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

Dana R Thomson1, Radheshyam Bhattarai2, Sudeepa Khanal2, Shraddha Manandhar2, Rajeev Dhungel2, Subash Gajurel2, Joseph Paul Hicks3, Duong Minh Duc4, Junnatul Ferdoush5, Tarana Ferdous6, Nushrat Jahan Urmy5, Riffat Ara Shawon5, Khuong Quynh Long4, Ak Narayan Poudel3, Chris Cartwright3, Hilary Wallace7, Tim Ensor3, Sushil Baral2, Saidur Mashreky5, Rumana Huque6, Hoang Van Minh4, Helen Elsey3.   

Abstract

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.

Entities:  

Keywords:  Bangladesh; Cross-sectional design; GeoODK; GridSample; Gridded population sampling; Household survey; Nepal; OpenStreetMap; Urban; Vietnam

Year:  2020        PMID: 33108601      PMCID: PMC7873174          DOI: 10.1007/s11524-020-00485-z

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  16 in total

1.  High Burden of Non-communicable Diseases among a Young Slum Population in Haiti.

Authors:  Margaret L McNairy; Olga Tymejczyk; Vanessa Rivera; Grace Seo; Audrey Dorélien; Mireille Peck; Jacky Petion; Kathleen Walsh; Anna Bolgrien; Denis Nash; Jean Pape; Daniel W Fitzgerald
Journal:  J Urban Health       Date:  2019-12       Impact factor: 3.671

Review 2.  The history, geography, and sociology of slums and the health problems of people who live in slums.

Authors:  Alex Ezeh; Oyinlola Oyebode; David Satterthwaite; Yen-Fu Chen; Robert Ndugwa; Jo Sartori; Blessing Mberu; G J Melendez-Torres; Tilahun Haregu; Samuel I Watson; Waleska Caiaffa; Anthony Capon; Richard J Lilford
Journal:  Lancet       Date:  2016-10-16       Impact factor: 79.321

Review 3.  Improving the health and welfare of people who live in slums.

Authors:  Richard J Lilford; Oyinlola Oyebode; David Satterthwaite; G J Melendez-Torres; Yen-Fu Chen; Blessing Mberu; Samuel I Watson; Jo Sartori; Robert Ndugwa; Waleska Caiaffa; Tilahun Haregu; Anthony Capon; Ruhi Saith; Alex Ezeh
Journal:  Lancet       Date:  2016-10-16       Impact factor: 79.321

4.  Urban as a determinant of health.

Authors:  David Vlahov; Nicholas Freudenberg; Fernando Proietti; Danielle Ompad; Andrew Quinn; Vijay Nandi; Sandro Galea
Journal:  J Urban Health       Date:  2007-05       Impact factor: 3.671

5.  Health and health-related indicators in slum, rural, and urban communities: a comparative analysis.

Authors:  Blessing U Mberu; Tilahun Nigatu Haregu; Catherine Kyobutungi; Alex C Ezeh
Journal:  Glob Health Action       Date:  2016-12-02       Impact factor: 2.640

Review 6.  Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda.

Authors:  Dana R Thomson; Dale A Rhoda; Andrew J Tatem; Marcia C Castro
Journal:  Int J Health Geogr       Date:  2020-09-09       Impact factor: 3.918

7.  Improving household surveys and use of data to address health inequities in three Asian cities: protocol for the Surveys for Urban Equity (SUE) mixed methods and feasibility study.

Authors:  Helen Elsey; Ak Narayan Poudel; Tim Ensor; Tolib Mirzoev; James Nicholas Newell; Joseph Paul Hicks; Christopher Cartwright; David Wong; Caroline Tait; Sushil Baral; Radheshyam Bhattarai; Sudeepa Khanal; Rajeev Dhungel; Subash Gajurel; Shraddha Manandhar; Saidur Mashreky; Junnatul Ferdoush; Rumana Huque; Tarana Ferdous; Shammi Nasreen; Hoang Van Minh; Duong Minh Duc; Bao Ngoc; Dana Thomson; Hilary Wallace
Journal:  BMJ Open       Date:  2018-11-25       Impact factor: 2.692

8.  Using the framework method for the analysis of qualitative data in multi-disciplinary health research.

Authors:  Nicola K Gale; Gemma Heath; Elaine Cameron; Sabina Rashid; Sabi Redwood
Journal:  BMC Med Res Methodol       Date:  2013-09-18       Impact factor: 4.615

9.  Public Health Risks in Urban Slums: Findings of the Qualitative 'Healthy Kitchens Healthy Cities' Study in Kathmandu, Nepal.

Authors:  Helen Elsey; Shraddha Manandah; Dilip Sah; Sudeepa Khanal; Frances MacGuire; Rebecca King; Hilary Wallace; Sushil Chandra Baral
Journal:  PLoS One       Date:  2016-09-29       Impact factor: 3.240

10.  GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data.

Authors:  Dana R Thomson; Forrest R Stevens; Nick W Ruktanonchai; Andrew J Tatem; Marcia C Castro
Journal:  Int J Health Geogr       Date:  2017-07-19       Impact factor: 3.918

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.