{"doc_desc":{"title":"World Health Survey Plus Bangladesh Cox's Bazar 2024","idno":"DDI-BGDCXB-WHO-WHSPLUS-2025-V01","producers":[{"name":"Nirmala Naidoo","abbr":"","affiliation":"World Health Organization","role":"Producer"},{"name":"","abbr":"","affiliation":"","role":""}],"prod_date":"2025-12-31","version_statement":{"version":"Version 1.0 (Dec 2025)"}},"study_desc":{"title_statement":{"idno":"DDI-BGDCXB-WHO-WHSPLUS-2024-V01","title":"World Health Survey Plus Bangladesh Cox's Bazar 2024","sub_title":"Wave 1","alternate_title":"WHS+ BGDCXB 2024"},"authoring_entity":[{"name":"Iqbal Masud","affiliation":"Dhaka Ahsania Mission (DAM)"}],"oth_id":[{"name":"","affiliation":"","email":"","role":""},{"name":"","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"Mohamed Mukhlesur Rahman","abbr":"","affiliation":"Dhaka Ahsania Mission (DAM)","role":"Survey Manager"},{"name":"Mohammad Hayatun Nabi","abbr":"","affiliation":"North South University, Bangladesh","role":"Advisor"},{"name":"","abbr":"","affiliation":"","role":""},{"name":"","abbr":"","affiliation":"","role":""}],"copyright":"\u00a9 World Health Organization 2026","funding_agencies":[{"name":"World Health Organization","abbr":"WHO","role":""}]},"distribution_statement":{"contact":[{"name":"Nirmala Naidoo","affiliation":"World Health Organization","email":"whsplus@who.int","uri":"https:\/\/apps.who.int\/healthinfo\/systems\/surveydata\/index.php\/collections\/WHSPlus"}]},"series_statement":{"series_name":"World Health Survey [hh\/whs]","series_info":"The World Health Survey Plus (WHS+) is the first wave of the study. WHS+ surveys are designed by the World Health Organization and implemented by national agencies in participating countries."},"version_statement":{"version":"v0.1: Edited, weighted anonymous dataset for public distribution.","version_date":"2025-12-31"},"study_info":{"keywords":[{"keyword":"Abortion, Air pollution, Alcohol, Anaemia, Antimicrobial resistance, Assistive technology, Cancer, Cadiovascular disease, Cervical cancer, Chronic respiratory diseases, Coronavirus disease (COVID-19),  Deafness and hearing loss,  Depression, Diabetes, Disability, Drowning, Eye care vision impairment and blindness, Financial protection, Food safety, Health equity, Health financing, Health workforce, Healthy diet, Hospitals, Hypertension, Mental health,  Noncommunicable diseases,  Nutrition, Obesity, Oral Health, Physical activity,  Primary health care, Quality of care,  Road traffic injuries, Refugee and migrant health, Social determinants of health, Suicide, Tobacco, Traditional Complementary and Integrative Medicine, Universal Health Coverage, Vaccines and immunization, Violence against women, Water sanitation and hygiene (WASH)","vocab":"WHO Health topics","uri":"https:\/\/www.who.int\/health-topics"}],"topics":[{"topic":"World Health Survey Plus  (WHS+)","vocab":"Survey","uri":""}],"abstract":"The World Health Survey Plus (WHS+) is the World Health Organization\u2019s flagship household survey programme, which is hosted by the Survey Unit within the Department of Data and Analytics (DNA) in the Division of Data Analytics and Delivery for Impact (DDI). \nThe WHS+ is focused on generating data needed to align with shifting data needs in health programming, policy and analysis, while also working to strengthen household survey systems in member countries. \nWHS+ builds on WHO\u2019s experience with generating, analyzing and disseminating representative data from household surveys in over 101 countries. \nThe WHS+ provides a data collection system for countries to monitor their progress towards population health targets, health-related SDGs, and WHO\u2019s impact framework. \nThe WHS+ will drive measurement of strategic health goals and add value to countries\u2019 data collection.\n\nAIM\nThe aim of the WHS+ is to generate valid, reliable, comparable and timely information on a range of health and well-being outcomes and determinants of public health importance in nationally representative target populations. The results from the WHS+ will support WHO member states to track progress on country-specific objectives and towards Universal Health Coverage (UHC) and HR-SDG targets, and WHO\u2019s Impact Framework approved by Member States.\n\nPRIMARY OBJECTIVES\nCreate a robust multi-functional data collection platform for generating data to monitor progress on national priorities, HR-SDGs and UHC.\nSupport countries to generate, analyse and use high-quality data to fill data gaps.\nDevelop standardized, computerized data collection strategies that enable speedier data collection and more reliable comparison across countries.\n\nADDITIONAL OBJECTIVES\nDevelop capacities in using evidence for policy\nInstitutionalize a regular data generation platform in countries\nProvide tools and methods for better sequencing and coordination between studies\nPursue improvements in integrating survey data into health information systems\nProvide methods for the inclusion of neglected topics and population groups\nBuild on post-census surveys with up-to-date sampling frames\nIntroduce a suite of data collection and analysis tools to use alongside National Statistics Offices and the United Nations Statistics Division\n\nCONTENT\n\nHOUSEHOLD QUESTIONNAIRE\n0000 Coversheet\n0100 Sampling Information\n0200 Geocoding\/GPS Information\n0300 Recontact Information\n0350 Contact Record\n0400 Household Roster\n0450 Household Consent\n0460 Migration\n0500 Housing\n0500 Water, Sanitation and Hygiene\n0500 Clean Fuels\n0700 Assets and Income\n0800 Household Consumption Expenditure\n\nINDIVIDUAL QUESTIONNAIRE\n1000 Socio-Demographic Characteristics\n1100 Covid-19 Vaccination\n2000 Health State Description\n2200 Assistive Technology\n2500 Anthropometrics, Performance Tests and Biomarkers\n3000 Risk Factors and Preventive Health Behaviours-Tobacco Use\n3100 Risk Factors and Preventive Health Behaviours-Alcohol Use\n3300 Risk Factors and Preventive Health Behaviours-Diet\n3400 Risk Factors and Preventive Health Behaviours-Physical Activity\n4000 Chronic Conditions and Health Services Coverage\n4100 Accidents\/Injuries\n4500 Antimicrobial Resistance\n5000 Health Care Utilisation\n6000 Social Networks\n7000 Quality of Life (WHOQoL-8)\n8000 Preventing Unsafe Abortion","coll_dates":[{"start":"2024-09-15","end":"2024-09-29","cycle":""}],"nation":[{"name":"Bangladesh","abbreviation":"BGD"}],"geog_coverage":"Cox's Bazar Refugee Camp","analysis_unit":"Households and individuals","universe":"The WHS+  will include all male and female adults (18 years of age and older) who are not out of the Cox's Bazar Refugee Camp during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population. \n\nThe target population includes any adult, male or female age 18 or over living in camp households.  People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.","data_kind":"Sample survey data [ssd]","notes":"The scope of the World Health Survey Plus includes:\nHOUSEHOLD: household characteristics, migration, housing, water sanitation and hygiene, clean fuels, assets and household income, household expenditure.\nINDIVIDUAL: socio demographic characteristics, Covid-19 vaccination, health state, assisitive technology, anthropometrics, performance tests and biomarkers, tobacco use, alcohol use, diet, physical activity, chronic conditions and health service coverage, accidents\/injuries, antimicrobial resistance, health care utilisation, social networks, quality of life, preventing unsafe abortion."},"method":{"data_collection":{"data_collectors":[{"name":"Dhaka Ahsania Mission","abbr":"DAM","role":"","affiliation":""}],"sampling_procedure":"The proposed sample size was 800 families, from which a single eligible individual was sampled to answer the more detailed individual questionnaire. \nUnder Simple Random Sampling (SRS), this sample size would enable estimating any proportion with a standard error no larger than 2%. \nThis target sample size was agreeable given the expected costs and available budget for the survey.\n\nThe sampling frame used to select the sample of families was provided by UNHCR. \nThis file contained a list of blocks in each of the 34 refugee camps that could be part of the survey. \nThe camp 'Bhasan Char' was excluded from the survey population due to the high costs of surveying there. \nOut of the 33 remaining camps, 1,361 families with 'missing block information' were also excluded from the sampling. \nThese represent a small fraction (0.7%) of the families living in the 33 camps to be surveyed. \nThe frame used for sampling therefore contained a total of 178 blocks nested within the 33 camps, and for each of these camps, there was information on the number of families and persons living in the block. \nThe total number of families was 193,452.\nFrom this frame, a conceptual list of families was created, by duplicating each block's record once for each of the families living in it (say Nb), and numbering the families from 1 to Nb within each block. \n\nThe sampling of families was carried out by stratified simple random sampling without replacement (STSRS). \nThe allocation of the total sample within the camps was approximately proportional to the number of families living in each camp, but with lower and upper limits of 12 and 28 sampled families per camp, respectively. \nDistribution of the camp sample sizes within the camp's blocks was close to equal, but the largest blocks received slightly larger sample sizes, always such that the sum of the block sample sizes matched the sample size allocated to the corresponding camp.\nThe sample of families was provided in an Excel spreadsheet called 'families_sample.xlsx'. In this file, each line contains a selected family, identified by the block id 'block_ssid' and the 'family_id'. \nThis last variable corresponds to the number of the family to be selected from the family list of each block, whatever the order these families are listed in the original family list.\nFor individual interviews, one person aged 18 or older per household was eligible to participate. \nThe eligible individual was selected with equal probabilities using the CAPI program from a list of eligible household members.\n\nStages of selection\nStrata: Camp = 33\nPSU:     Blocks=162 surveyed\nSSU:     Families=685 surveyed\nTSU:     Individuals=685 surveyed","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The WHS+ questionnaires were based on the SAGE questionnaires with some modifications and many new modules.\nA Household questionnaire was administered to all households eligible for the study.\nAn Individual questionniare was administered to eligible respondents identified from the household roster by the CAPI programme.\nThe questionnaires were developed in English. The CAPI template produced by Survey Solution Designer was translated into Banglai. \nThe English questionnaires are available as external resources.","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"Dhaka Ahsania Mission (DAM), conducted an awareness campaign prior to data collection.\nA refresher training workshop was held 9-11 September in Cox's Bazar to prepare the data collection teams.  \nThere were 3 teams in total: two comprised one supervisor, six interviewers and one biomarker collector each, while the third team had an additional interviewer bringing the total personnel to 25. \nInterviewers were selected from the pool of those who participated in the national World Health Survey Plus Bangladesh conducted in 2023, based on their performance and their proficiency in the local dialect. \nData collection was carried out from 15-29 September 2024, with a pause on 16 September for a government holiday and on weekends, amounting to a total of 10 working days.\n\nGeo-coordinates were available for only 266 of the 800 families.\nTherefore maps for the households were provided by the HQ GIS Centre for Health to navigate the blocks with more ease. \nTeams were also escorted by field monitors from UNHCR and the WHO sub-office in Cox's Bazar to ensure that the correct families were being interviewed.\nDue to security concerns and camps that were difficult to reach, camps 15 (36 families) and 27 (16 families) were not visited. \nAdditionally several blocks were not surveyed: block A in camp 8W (4 families), block G in camp 9 (5 families), block F in camp 13(5 families), and block D in camp 24 (2 families). \nIn total, 15 blocks and 68 families were not visited.","weight":"Weights\nHousehold weights(variable hhweight) for analysis at household level and individual weights(variable pweight) for analysis at person level were calculated. \nBasic household and person weights were computed as the reciprocals of their corresponding selection probabilities, considering all stages of selection. \nBasic household weights were then calibrated to population totals by camp, sex and age groups (18-59, 60+) according to the GoB-UNHCR Joint Registration Exercise. \nCalibration was done on the marginal distributions, using raking, and was such that all individuals within a sampled household would have the same calibrated weight.\n\nBasic individual weights were calibrated to population totals by sex, age-groups (18-59, 60+), and camp according to the the GoB-UNHCR Joint Registration Exercise.\nCalibration was done on the marginal distributions, using raking.\n\nWeights are not normalised, and their sum over the total sample will return estimates of population sizes.\nWhere the hhweight and\/or pweight has a missing value this is because either the sampling information is missing or the sex, age is missing.","cleaning_operations":"Data editing took place at a number of stages including:\n(1) office editing and coding\n(2) during data entry\n(3) structural checking of the Stata data files"},"analysis_info":{"response_rate":"Response rates\nresponse rate=% of households\/persons who completed the interviews amongst all eligible households\/persons, including those who were not successfully contacted.\n\nHousehold \nResponse rate=85%\n\nIndividual:\nResponse rate=84%"}},"data_access":{"dataset_use":{"contact":[{"name":"Nirmala Naidoo","affiliation":"World Health Organization","email":"whsplus@who.int","uri":"https:\/\/apps.who.int\/healthinfo\/systems\/surveydata\/index.php\/collections\/WHSPlus"}],"cit_req":"\"World Health Organization, World Health Survey Plus Bangladesh Cox's Bazar 2024, Version 1.0  of the public use dataset, provided by the Multi-Country Studies Data Archive https:\/\/apps.who.int\/healthinfo\/systems\/surveydata\/index.php\/collections\/WHSPlus\"","conditions":"The user undertakes:\n(1) to keep confidential any information concerning individual persons or households.\n(2) not to distribute the data to any other user.\n(3) to use the data for scientific research only and to be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.\n(4) to share any planned publications with WHO prior to publication.\n(5) to site the source of data in accordance with the Citation Requirement provided with each dataset for any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Multi-Country Studies Data Archive. \n(6) to share an electronic copy of all reports and publications based on the requested data with WHO. \n\nThe Dhaka Ahsania Mission (DAM)  and the World Health Organization bear no responsibility for use of the data or for interpretations or inferences based upon such uses.","disclaimer":"The data is being distributed without warranty of any kind. \nThe responsibility for the use of the data lies with the user. \nIn no event shall the World Health Organization be liable for damages arising from its use."}}},"schematype":"survey"}