{"doc_desc":{"title":"BWA_2008_AIS-III_v01_M","idno":"DDI_ZMB_UMB_PHIA_2021_v2","producers":[{"name":"Center for International Health, Education, and Biosecurity","abbreviation":"CIHEB","affiliation":"University of Maryland Baltimore (UMB)","role":"Metadata producer"},{"name":"Zambian Statistics Agency","abbreviation":"ZamStat","affiliation":"Government of Zambia","role":"Metadata host"}],"prod_date":"2023-12-13"},"study_desc":{"title_statement":{"idno":"ZMB-ZS-ZAMHPIA-2021-v02","title":"2021 Zambia Population-based HIV Impact Assessment: Geospatial","alt_title":"ZAMPHIA 2021"},"production_statement":{"producers":[{"name":"Zambian Statistics Agency","affiliation":"Government of Zambia"}],"copyright":"(c) 2023"},"series_statement":{"series_name":"Other Household Health Survey [hh\/hea]","series_info":"In 2016, the first Zambia Population-based HIV Impact Assessment (ZAMPHIA) was completed, revealing that the nation had succeeded in reducing the spread of HIV. To further assess the progress made toward epidemic control, the Zambia Ministry of Health led a second ZAMPHIA survey  implemented from April 2021 to December 2021."},"version_statement":{"version":"Version 1.0: Edited, anonymous dataset for public distribution as provided using the guidelines produced by the U.S. Centers for Disease Control and Prevention (CDC)","version_date":"2023-12-13","version_notes":"This version is the final risk-mitigated and cleared ZAMPHIA 2021 geospatial data set and associated documentation."},"study_info":{"topics":[{"topic":"Health","vocab":"World Bank"},{"topic":"HIV\/AIDS","vocab":"World Bank"},{"topic":"Tuberculosis","vocab":"World Bank"}],"abstract":"The Zambia Population-based HIV Impact Assessment (ZAMPHIA 2021) was a cross-sectional survey to estimate the sub-national prevalence of viral load suppression among adults living with HIV, measure the national and subnational prevalence of HIV, and document the country\u2019s progress towards achievement of UNAIDS 95-95-95 targets along with the impact of HIV services. ZAMPHIA 2021 characterizes HIV incidence, prevalence, viral load suppression, and risk behaviors in a nationally representative household sample of Zambia\u2019s adult population and describes uptake of key HIV prevention, care, and treatment services.","time_periods":[{"start":"2022","end":"2027","cycle":"The survey is usually undertaken every 5 years"}],"coll_dates":[{"start":"2021-05-19","end":"2021-07-29","cycle":"Pre election cycle"},{"start":"2021-09-24","end":"2021-12-13","cycle":"Post election cycle"}],"nation":[{"name":"Zambia","abbreviation":"ZMB"}],"geog_coverage":"National coverage","analysis_unit":"Survey clusters","universe":"In ZAMPHIA 2021, individuals aged 15 years and older were eligible to participate in the survey. The inclusion criteria included: \n\u00b7 Being a usual household member who slept in the household the night before the survey, or a visitor who slept in the household the night before the survey; and \n\u00b7 Self-reported age 15 years or older; and \n\u00b7 For those 18 years and older, able and willing to provide verbal informed consent in English, Bemba, Kaonde, Lozi, Lunda, Luvale, Nyanja, or Tonga; \n\u00b7 For minors aged 15-17 years, able and willing to provide verbal assent and parent\/guardian able and willing to provide verbal informed consent\/permission in English, Bemba, Kaonde, Lozi, Lunda, Luvale, Nyanja or Tonga; \n\u00b7 For emancipated minors, i.e., those aged 15-17 years who were married or living in independent households without parents or guardians, able and willing to provide verbal informed consent in English, Bemba, Kaonde, Lozi, Lunda, Luvale, Nyanja or Tonga.","data_kind":"sample survey data[ssd]","notes":"The survey was intended to provide:\n \u2022 National HIV prevalence and incidence estimates among the population 15+ years\n \u2022 Indicative trends in sexual and preventive behavior among the population 15+ years\n \u2022 A comparison between HIV rate, behavior, knowledge, attitude, and cultural factors that are associated with the epidemic with estimates derived from previous surveys\n \u2022 Demographic and socio-economic data, and data on housing and household members to examine the determinants and consequences of the pandemic.\n  \nPrimary Objectives\nTo estimate the following in a household (HH)-based, nationally representative sample of adults, aged 15+ years: \n \u2022 The sub-national prevalence of HIV viral load suppression (VLS - defined as HIV ribonucleic acid (RNA) <1000 copies\/milliliter (mL));\n \nSecondary Objectives\nTo estimate the following in the population 15+ years:\n \u2022 National and sub-national HIV prevalence; \n \u2022 National HIV incidence; \n \u2022 Prevalence of HIV-related risk behaviors, knowledge, and attitudes; \n \u2022 Behavioral and demographic determinants of HIV incidence and prevalence; \n \u2022 Uptake and barriers to uptake of HIV-related services and exposure to HIV interventions; \n \u2022 Prevalence of primary and secondary antiretroviral (ARV) drug-resistance (DR) in PLHIV; \n \u2022 Progress towards achievement of the Joint United Nations Program on HIV and AIDS (UNAIDS) 90-90-90 targets;"},"method":{"data_collection":{"coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"Survey staff administered the Household (HH) Questionnaire to the head of the HH or his or her designee. The questionnaire asks about the age and sex of all usual HH members and overnight visitors and the relationship of each member to the head of the HH, as well as support for orphans and vulnerable children and HH deaths. The HH questionnaire also collected data on internal and external migration, economic support and other HH characteristics. \n\nThe Individual Questionnaire was administered to persons ages 15 years and older. The individual questionnaire included the modules that collected data on \n\n(1) demographic characteristics; \n(2) marriage; \n(3) reproductive history of women, ANC and prevention of mother-to-child transmission services uptake; \n(4) male circumcision; \n(5) sexual activity and HIV-related risk behaviors; \n(6) previous HIV testing experience; \n(7) HIV serostatus knowledge, and continuum (uptake) of HIV care services; \n(8) tuberculosis and other health issues;\n(9) alcohol use; \n(10) exposure to Determined, Resilient, Empowered, AIDS-free, Mentored, and Safe women (DREAMS) program.\n\nData from the HH Questionnaire and Individual Questionnaire was entered directly onto mobile tablet devices using CSPro software programmed with the questionnaires. The tablet recorded the assigned PTID of each participant through the scanning\/reading of preprinted barcode labels. These labels were alsoused for field and laboratory-based results.\n\nA questionnaire in attached in the document section for further review.","coll_situation":"ZAMPHIA 2021 was a household-based national survey among adults (defined as those 15 years and above) that measured the status of Zambia\u2019s national HIV response. Conducted from April through December 2021, Zambia offered HIV homebased testing and counseling (HBTC) with return of results, and collected information about households and individuals background, and the uptake of HIV care and treatment services","cleaning_operations":"Creation of unmasked cluster centroids is a multi-step process, which involves: (1) assessing data availability, data quality, and spatial coincidence of data sources for each cluster; (2) creating a final cluster boundary dataset; and (3) creating a final unmasked cluster centroid dataset.\nPlease refer to the PHIA Geospatial Data Use Manual for further details.","method_notes":"CSPro, a data collection software produced by the U.S. Census Bureau was used to develop the field applications using Android devices (tablets).","sampling_procedure":"Enumeration area (EA) boundary data for all survey clusters are typically provided by each country\u2019s national statistical office. These data are usually provided in shapefile format. In some cases, data for cluster centroids may be provided instead of, or in addition to, data for cluster boundaries. In other cases, no cluster geolocation data may be available. When available, cluster geolocation data are loaded onto encrypted and passcode-protected tablet computers in keyhole markup language (KML) format using the MAPS.ME mobile app (https:\/\/maps.me), which includes OpenStreetMap (OSM, https:\/\/www.openstreetmap.org) data. Together, the cluster geolocation data and OSM data assist household listing and mapping personnel in navigating to and within survey clusters."},"analysis_info":{"data_appraisal":"Data was appraised in various ways. \n\n1. A spot-checking process was implemeted. This spot-checking was done by the Regional Coordinators and was designed to identofy those households that appeared to have inconsistent data with the original data. A side-by-side comparison was done and any suspicious inconsistentcies transmitted to the supervisor. \n2. Data quality was checked by looking at the frequencies and assuring that responses were consistent and logical  and skip patterns preserved.  \n3. Field Check tables were transmitted and posted to a central information system know as the AIMS for checking the performance of the teams in the field."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The protection of participant privacy and confidentiality was maintained at each phase of ZAMPHIA data collection and processing. To ensure the protection of participant privacy and confidentiality, ZAMPHIA data processing encompasses various methods to reduce the risk of disclosure in the public use data. The mitigation of potential risk disclosure occurs at the household-level and individual-level and addresses both direct and indirect identifiers in the public use data.\n\nThe following risk mitigation methods are applied across all PHIA public-use datasets:\n \u2022 Removal of all direct identifiers (e.g. names, addresses, phone numbers)\n \u2022 Household and participant IDs were randomly reassigned. \n \u2022 Days have been redacted from all date variables. Month and year were retained.  \n \u2022 All age variables have been top-coded to 80. \n \u2022 In certain circumstances, age variables were bottom-coded. See each PHIA\u2019s Supplement for specific details.  \n \u2022 For categorical variables, categories with counts of less than 25 were collapsed into \u201cother\u201d, if \u201cother\u201d is an option. Response types \u201cDon\u2019t know\u201d and \u201cRefused\u201d were not collapsed into \u201cother\u201d because these response options are not identifying. Special circumstances may exist. See each PHIA\u2019s Supplement for additional details, including variables with this method applied.    \n \u2022 For dichotomous variables (i.e. variables with yes\/no response options), the variables may have been redacted from the data if there were no risk remediation measure possible. See each PHIA\u2019s Supplement for additional details, including variables with this method applied. \n \u2022 For continuous variables, top-coding or bottom-coding may have been used. See each PHIA\u2019s Supplement for additional details, including variables with this method applied. \n \n This is in accordance with the UN Fundamental Principles of Official Statistics Article 6 stating: \n \n Individual data collected by statistical agencies for statistical compilation, whether they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes.\n \n Which has been incorporated in the Zambia Statistical Act 13\/2018 which states under Article 21: The (Statistics) Agency shall,where statistics are designated as official statistics, protect the confidentialityand identity of the source of data.","required":"yes"}],"contact":[{"name":"Zambia Statistics Agency","affiliation":"Government of Zambia","uri":"https:\/\/www.zamstats.gov.zm\/"}],"conditions":"The data has been anonymized and is provided as a Public Use File. Users must register on the National Data Archive site and agree to the terms and conditions provided in the user agreement.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey"}