{"doc_desc":{"title":"AFG_2015_DHS_v01_M","idno":"DDI_AFG_2015_DHS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"version_statement":{"version":"Version 01 (February 2017). Metadata is excerpted from \"Afghanistan Demographic and Health Survey 2015\" Report."}},"study_desc":{"title_statement":{"idno":"AFG_2015_DHS_v01_M","title":"Demographic and Health Survey 2015","alt_title":"DHS 2015 \/ AfDHS 2015"},"authoring_entity":[{"name":"Central Statistics Organization (CSO)","affiliation":"Government of Islamic Republic of Afghanistan"},{"name":"Ministry of Public Health (MoPH)","affiliation":"Government of Islamic Republic of Afghanistan"}],"production_statement":{"producers":[{"name":"ICF International","affiliation":"","role":"Provided technical assistance through the DHS Program"}],"funding_agencies":[{"name":"Government of Islamic Republic of Afghanistan","abbreviation":"GovAFG","role":"Funded the study"},{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Funded the study"},{"name":"United Nations Children\u2019s Fund","abbreviation":"UNICEF","role":"Funded the study"}]},"distribution_statement":{"contact":[{"name":"Information about The DHS Program","affiliation":"The DHS Program","email":"reports@DHSprogram.com","uri":"http:\/\/www.DHSprogram.com"},{"name":"General Inquiries","affiliation":"The DHS Program","email":"info@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"},{"name":"Data and Data Related Resources","affiliation":"The DHS Program","email":"archive@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"}]},"series_statement":{"series_name":"Demographic and Health Survey (Standard) - DHS VII","series_info":"Demographic and Health Surveys (DHS) are nationally-representative household surveys that provide data for a wide range of monitoring and impact evaluation indicators in the areas of population, health, and nutrition.\n\nThe 2015 Afghanistan Demographic and Health Survey (AfDHS) is the first survey of its kind to be implemented in the country as part of the worldwide Demographic and Health Surveys (DHS) Program."},"study_info":{"abstract":"The 2015 Afghanistan Demographic and Health Survey (2015 AfDHS) is the first DHS survey conducted in Afghanistan. The main objective of the 2015 AfDHS is to provide up-to-date information on fertility and childhood mortality levels; fertility preferences; awareness, approval, and use of family planning methods; maternal and child health; and knowledge and attitudes toward HIV\/AIDS and other sexually transmitted infections (STIs). The 2015 AfDHS calls for a nationally representative sample of 25,650 residential households; in all the sample households, all ever-married women age 15-49 who are usual members of the selected households and those who spent the night before the survey in the selected households were eligible to be interviewed in the survey. In half of the sample households, all ever-married men age 15-49 who are usual members of the selected households and those who spent the night before the survey in the selected households were eligible to be interviewed in the survey. In each household, one woman age 15-49 was randomly selected to be eligible for the Domestic Violence module.\n\nThe 2015 AfDHS was designed to provide most of the key indicators for the country as a whole, for urban and rural areas separately, and for each of the 34 provinces in Afghanistan. These provinces are located in eight regions as follows:\n- The Northern region: Balkh, Faryab, Jawzjan, Samangan, and Sar-E-Pul\n- The North Eastern region: Badakhshan, Baghlan, Kunduz, and Takhar\n- The Western region: Badghis, Farah, Ghor, and Herat\n- The Central Highland region: Bamyan and Daykundi\n- The Capital region: Kabul, Kapisa, Logar, Panjsher, Parwan, and Wardak\n- The Southern region: Ghazni, Helmand, Kandahar, Nimroz, Urozgan, and Zabul\n- The South Eastern region: Khost, Paktika, and Paktya\n- The Eastern region: Kunarha, Laghman, Nangarhar, and Nooristan","coll_dates":[{"start":"2015-06","end":"2016-02","cycle":""}],"nation":[{"name":"Afghanistan","abbreviation":"AFG"}],"geog_coverage":"National coverage","geog_unit":"Northern region North Eastern region Western region Central Highland region Capital region Southern region South Eastern region Eastern region","analysis_unit":"- Household\n- Individual\n- Woman age 15-49\n- Man age 15-49","universe":"The survey covered all de jure household members (usual residents), and all ever-women aged 15-49 years resident in the household.","data_kind":"Sample survey data [ssd]","notes":"The 2015 Afghanistan Demographic and Health Survey covered the following topics:\n\nHOUSEHOLD\n\u2022 Identification\n\u2022 Usual members and visitors in the selected households\n\u2022 Background information on each person listed, such as relationship to head of the household, age, sex, marital status, survivorship and residence of bilogical parents, highest educational attainment, and birth registration\n\u2022 Characteristics of the household's dwelling unit, such as the source of water, type of toilet facilities, type of fuel used for cooking, materials used for the floor, roof and walls of the house, and possessions of durable goods and mosquito nets.\n\nINDIVIDUAL WOMAN\n\u2022 Background characteristics (age, education, media exposure, and so on)\n\u2022 Birth history and child mortality\n\u2022 Knowledge and use of family planning methods\n\u2022 Fertility preferences\n\u2022 Antenatal, delivery, and postnatal care\n\u2022 Breastfeeding and infant feeding practices\n\u2022 Vaccinations and childhood illnesses\n\u2022 Marriage and sexual activity\n\u2022 Women's work and husbands' background characteristics\n\u2022 Awareness and behaviour related to HIV\/AIDS and other sexually transmitted infections (STIs)\n\u2022 Adult mortality, including maternal mortality\n\u2022 Knowledge, attitudes, and behavior related to other health issues (e.g., tuberculosis, hepatitis, fistula)\n\u2022 Domestic violence\n\nINDIVIDUAL MAN\n\u2022 Respondent background\n\u2022 Reproduction\n\u2022 Contraception\n\u2022 Marriage and sexual activity\n\u2022 Fertility preferences\n\u2022 Employment and gender roles\n\u2022 HIV\/AIDS\n\u2022 Other health issues"},"method":{"data_collection":{"data_collectors":[{"name":"Central Statistics Organization","abbreviation":"CSO","affiliation":"Government of Islamic Republic of Afghanistan"}],"sampling_procedure":"The sampling frame used for the 2015 AfDHS is an updated version of the Household Listing Frame, prepared in 2003-04 and updated in 2009, provided by the Central Statistics Organization (CSO). The sampling frame had information on 25,974 enumeration areas (EAs). An EA is a geographic area consisting of a convenient number of dwelling units that serve as counting units for the census. The sampling frame contained information about the location (province, district, and control area), the type of residence (urban or rural), and the estimated number of residential households for each of the 25,974 EAs. Satellite maps were also available for each EA, which delimited the geographic boundaries of the area. The sampling frame excluded institutional populations such as persons in hotels, barracks, and prisons.\n\nThe 2015 AfDHS followed a stratified two-stage sample design and was intended to allow estimates of key indicators at the national level, in urban and rural areas, and for each of the 34 provinces of Afghanistan. The first stage involved selecting sample points (clusters) consisting of EAs. A total of 950 clusters were selected, 260 in urban areas and 690 in rural areas. It was recognized that some areas of the country might be difficult to reach because of ongoing security issues. Therefore, to mitigate the situation, reserve clusters were selected in all of the provinces to replace the inaccessible clusters. The 101 reserve clusters that were preselected did not exceed 10% of the selected clusters in the province.\n\nThe second stage involved systematic sampling of households. A household listing operation was undertaken in all of the selected clusters, and a fixed number of 27 households per cluster were selected through an equal probability systematic selection process, for a total sample size of 25,650 households. Because of the approximately equal sample size in each province, the sample is not self-weighting at the national level, and weighting factors have been calculated, added to the data file, and applied so that results are representative at the national level.\n\nAll ever-married women age 15-49 who were either permanent residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed. In half of the households, all ever-married men age 15-49 who were either residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed.\n\nDuring the household listing operation, more than 70 selected clusters were identified as insecure. Therefore, a decision was made to carry out the household listing operation in all of the 101 preselected reserve clusters, which also accounted for the possibility of identifying more insecure clusters during data collection. Household listing was successfully completed in 976 of 1,051 clusters. Overall, the survey was successfully carried out in 956 clusters.\n\nFor further details on sample selection, see Appendix A of the final report.","coll_mode":"Face-to-face [f2f]","research_instrument":"Three questionnaires were used for the 2015 AfDHS: the Household Questionnaire, the Woman\u2019s Questionnaire, and the Man\u2019s Questionnaire. These questionnaires, based on the DHS Program\u2019s standard Demographic and Health Survey questionnaires, were adapted to reflect the population and health issues relevant to Afghanistan. Input was solicited from various stakeholders representing government ministries and agencies, nongovernmental organizations, and international donors. After all questionnaires were finalized in English, the questionnaires were translated into Dari and Pashto. The survey protocol and the questionnaires were approved by the ICF Institutional Review Board (IRB) and the Ministry of Public Health of Afghanistan.","coll_situation":"Pretest\nThe fieldwork for the pretest was carried out in four locations in and around Kabul. There were four teams deployed: two teams for testing the Dari language questionnaires and two teams for testing the Pashto language questionnaires. Following the field practice, a debriefing session was held with the pretest field staff, and modifications to the questionnaires were made based on lessons drawn from the exercise.\n\nFieldwork\nData collection was carried out by 33 field teams, each consisting of one team supervisor, one field editor, three female interviewers, and three male interviewers. However, the team composition had to be adjusted during the different phases of the fieldwork operation because of security challenges. Data collection took place from June 15, 2015, through February 23, 2016, although most of the teams completed the fieldwork by November 2015. The extension of fieldwork in some provinces was due to the ongoing unrest and insurgency in the provinces of Kunduz, Helmand, Faryab, Badghis, and Ghazni. In the case of Badakhshan, the team had to pass through Tajikistan to access the clusters; this entailed getting visa approval, which took more than 3 months. Despite substantial challenges in the field, the AfDHS field teams successfully completed the fieldwork.\n\nFieldwork monitoring was an integral part of the AfDHS, and five rounds of monitoring were carried out by the AfDHS core team and the 17 master trainers. Two levels of monitoring strategies were identified: technical monitoring and coverage monitoring. The technical monitoring was carried out by the AfDHS core team and the master trainers, while the coverage monitoring was carried out by provincial statistical officers (PSOs) and the Provincial Health Directorate (PHD) of MoPH. The monitors were provided with guidelines for overseeing the fieldwork.","weight":"A spreadsheet containing all sampling parameters and selection probabilities was prepared to facilitate the calculation of the design weights. Design weights were adjusted for household nonresponse and individual nonresponse to obtain the sampling weights for households and for women and men, respectively. Nonresponse is adjusted at the sampling stratum level. For the household sampling weight, the household design weight is multiplied by the inverse of the household response rate, by stratum. For the women\u2019s individual sampling weight, the household sampling weight is multiplied by the inverse of the women\u2019s individual response rate, by stratum. For the men\u2019s individual sampling weight, the household sampling weight for the male subsample is multiplied by the inverse of the men\u2019s individual response rate, by stratum. After adjusting for nonresponse, the sampling weights are normalized to get the final standard weights that appear in the data files. The normalization process is aimed at obtaining a total number of unweighted cases equal to the total number of weighted cases using normalized weights at the national level, for the total number of households, women, and men. Normalization is done by multiplying the sampling weight by the estimated total sampling fraction obtained from the survey for the household weight, the individual woman\u2019s weight, and the individual man\u2019s weight. The normalized weights are relative weights that are valid for estimating means, proportions, ratios, and rates, but they are not valid for estimating population totals or for pooled data. Special weights for domestic violence were calculated that account for the selection of one woman per household.","cleaning_operations":"All completed questionnaires were edited in the field and dispatched to the data processing center at the CSO central office in Kabul. CSPro data processing software was used to enter the data. All the data were entered twice for 100% verification."},"analysis_info":{"response_rate":"A total of 25,741 households were selected for the sample, of which 24,941 were occupied during the survey fieldwork. Of the occupied households, 24,395 were successfully interviewed, yielding a response rate of 98%.\n\nIn the interviewed households, 30,434 ever-married women age 15-49 were identified for individual interviews; interviews were completed with 29,461 of these women, yielding a response rate of 97%. In the subsample of households selected for the male survey, 11,778 ever-married men age 15-49 were identified and 10,760 were successfully interviewed, yielding a response rate of 91%. The lower response rate for men was likely due to their more frequent and longer absences from the household.\n\nThe response rates are lower in urban areas than in rural areas. The difference is more prominent for men than women, as men in the urban areas are often away from their households for work. Moreover, given the security situation in the country, the field teams could not carry out interviews in the late evenings when more men are at home.","sampling_error_estimates":"The estimates from a sample survey are affected by two types of errors: nonsampling errors and sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions by either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2015 Afghanistan Demographic and Health Survey (2015 AfDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.\n\nSampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2015 AfDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.\n\nSampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.\n\nIf the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2015 AfDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed by SAS programs developed by ICF. These programs use the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.\n\nThe Taylor linearization method treats any percentage or average as a ratio estimate, r = y\/x, where y represents the total sample value for variable y, and x represents the total number of cases in the group or subgroup under consideration.\n\nNote: A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.","data_appraisal":"Data Quality Tables\n- Household age distribution\n- Age distribution of eligible and interviewed women\n- Age distribution of eligible and interviewed men\n- Completeness of reporting\n- Births by calendar years\n- Reporting of age at death in days\n- Reporting of age at death in months\n- Sibship size and sex ratio of siblings\n\nNote: See detailed data quality tables in APPENDIX C of the report."}},"data_access":{"dataset_availability":{"access_place":"The DHS Program","access_place_uri":"http:\/\/dhsprogram.com\/data\/available-datasets.cfm","original_archive":"The DHS Program\nhttp:\/\/dhsprogram.com\/data\/available-datasets.cfm\nCost: None"},"dataset_use":{"contact":[{"name":"The DHS Program","affiliation":"","email":"archive@dhsprogram.com","uri":"http:\/\/www.DHSprogram.com"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","conditions":"Request Dataset Access\nThe following applies to DHS, MIS, AIS and SPA survey datasets (Surveys, GPS, and HIV). \nTo request dataset access, you must first be a registered user of the website. You must then create a new research project request. The request must include a project title and a description of the analysis you propose to perform with the data. \n\nThe requested data should only be used for the purpose of the research or study. To request the same or different data for another purpose, a new research project request should be submitted. The DHS Program will normally review all data requests within 24 hours (Monday - Friday) and provide notification if access has been granted or additional project information is needed before access can be granted. \n\nDATASET ACCESS APPROVAL PROCESS\nAccess to DHS, MIS, AIS and SPA survey datasets (Surveys, HIV, and GPS) is requested and granted by country. This means that when approved, full access is granted to all unrestricted survey datasets for that country. Access to HIV and GIS datasets requires an online acknowledgment of the conditions of use.\n\nRequired Information\nA dataset request must include contact information, a research project title, and a description of the analysis you propose to perform with the data.\n\nRestricted Datasets\nA few datasets are restricted and these are noted. Access to restricted datasets is requested online as with other datasets. An additional consent form is required for some datasets, and the form will be emailed to you upon authorization of your account. For other restricted surveys, permission must be granted by the appropriate implementing organizations, before The DHS Program can grant access. You will be emailed the information for contacting the implementing organizations. A few restricted surveys are authorized directly within The DHS Program, upon receipt of an email request. \n\nWhen The DHS Program receives authorization from the appropriate organizations, the user will be contacted, and the datasets made available by secure FTP. \n\nGPS\/HIV Datasets\/Other Biomarkers\nBecause of the sensitive nature of GPS, HIV and other biomarkers datasets, permission to access these datasets requires that you accept a Terms of Use Statement. After selecting GPS\/HIV\/Other Biomarkers datasets, the user is presented with a consent form which should be signed electronically by entering the password for the user's account.\n\nDataset Terms of Use\nOnce downloaded, the datasets must not be passed on to other researchers without the written consent of The DHS Program. All reports and publications based on the requested data must be sent to The DHS Program Data Archive in a Portable Document Format (pdf) or a printed hard copy. \n\nDownload Datasets\nDatasets are made available for download by survey. You will be presented with a list of surveys for which you have been granted dataset access. After selecting a survey, a list of all available datasets for that survey will be displayed, including all survey, GPS, and HIV data files. However, only data types for which you have been granted access will be accessible. To download, simply click on the files that you wish to download and a \"File Download\" prompt will guide you through the remaining steps.","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","tags":[{"tag":"noDOI"}]}