{"doc_desc":{"title":"World Health Survey Plus Bangladesh 2023","idno":"DDI-BGD-WHO-WHSPLUS-2024-V01","producers":[{"name":"Nirmala Naidoo","abbr":"","affiliation":"World Health Organization","role":"Production"},{"name":"","abbr":"","affiliation":"","role":""}],"prod_date":"2024-08-31","version_statement":{"version":"Version 1.0 (August 2024)"}},"study_desc":{"title_statement":{"idno":"DDI-BGD-WHO-WHSPLUS-2024-V01","title":"World Health Survey Plus Bangladesh 2023","sub_title":"Wave 1","alternate_title":"WHS+ BGD 2023"},"authoring_entity":[{"name":"Iqbal Masud","affiliation":"Dhaka Ahsania Mission (DAM)"}],"oth_id":[{"name":"Ravi Shankar","affiliation":"WHO GIS Centre","email":"","role":"GIS support"},{"name":"Jaouad Tilout","affiliation":"WHO GIS Centre","email":"","role":"GIS support"}],"production_statement":{"producers":[{"name":"Mohammed 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":"2024-08-31"},"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":"2023-09-05","end":"2023-12-25","cycle":""}],"nation":[{"name":"Bangladesh","abbreviation":"BGD"}],"geog_coverage":"National coverage","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 country 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\nIf the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him\/her. \n\nThe target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. 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, household and family support networks and transfers, 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":"WHS+ Bangladesh used a three-stage stratified sampling approach: first selecting districts, then enumeration areas (EAs) within districts, and finally households within EAs. \nSince Bangladesh's 64 districts couldn't all be surveyed for budget reasons, 20 districts were sampled using a stratification approach based on socioeconomic indicators.\n\nTo stratify the districts, four socioeconomic indicators were combined (literacy rates for the general population and females, infant mortality, and poverty) into a single composite score using principal components analysis. \nDistricts were then divided into four strata based on this composite score, with sample sizes of 6, 6, 3, and 5 districts allocated per stratum using an optimization procedure. \nWithin each stratum, districts were selected using probability-proportional-to-size (PPS) sampling, where household counts were raised to the power of 4\/5 to reduce the influence of very large districts.\n\nOne special case arose with Dhaka district: because of its enormous size it was included in the sample automatically (with certainty), creating a separate fifth stratum just for Dhaka, and reducing the target sample size in its original stratum from 5 to 4. \nAfter this adjustment, all remaining district probabilities fell within a valid range, and districts were sampled using Pareto PPS sampling implemented in R. \nFinally, the total sample of 400 EAs was distributed across the 20 selected districts proportionally to household counts (again using the 4\/5 power) to balance statistical precision with even geographic distribution.\n\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: 5\nPSU:    Enumeration Areas=398 surveyed\nSSU:    Households=6319 surveyed\nTSU:    Individuals=6319 surveyed","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The WHS+ questionnaires were based on the SAGE questionnaires with many 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 Bangla. \nThe English questionnaires are available as external resources.","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"Fieldwork training was conducted 21-27 August in Dhaka.  The pilot study was conducted on 28 August in ward 24, in the South City Corporation municipality the district and division of Dhaka.   A debriefing session was held on 29 August. \nThere were 8 data collection teams.  Each team comprised one supervisor, five interviewers, one biomarker collector and one lister giving a total of 64 personnel.\nData collection was carried out from 10 October to 25 December 2023 inclusive.  Data collection was suspended on 24 October to observe the Hindu festival of Durga Puja, on 27 October to observe Fateha Yajdaham a Muslim religious day, on 28 October to observe the Hindu festival of  Lakshmi Puja and the Buddist festival of Prabarana Purnima. Total of 72 days.\nTen monitoring visits were conducted at Dhaka, Gazipur, Munshigonj, Sylhet, Cumilla, Bhola, Khulna, Pabna, Jamalpur and Kurigram.\nAll issues pertaining to the CAPI programme used for data collection were resolved by WHO HQ.\nRespondents were compensated with a cash voucher of BDT350.","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 province, locality(urban\/rural), sex and age groups (00-14, 15-49, 50-59, 60-69, 70+) according to the 2023 population projections from the WHO Bangladesh Country Office. \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 (18-29, 30-39, 40-49, 50-59, 60-69, 70+), locality(urban\/rural) and province according to the 2023  population projections from the WHO Bangladesh Country Office.\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=94%\n\nIndividual:\nResponse rate=94%"}},"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 2023, 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"}