{"type":"survey","doc_desc":{"title":"RWA_2011_SDHS_v01_M","idno":"DDI_RWA_2011_SDHS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Metadata preparation  "}],"version_statement":{"version":"Version 01 (August 2017). Metadata is excerpted from \"Rwanda Estimating the Size of Populations through a Household Survey 2011\" Report."}},"study_desc":{"title_statement":{"idno":"RWA_2011_SDHS_v01_M","title":"Estimating the Size of Populations through a Household Survey 2011","alt_title":"SDHS 2011 \/ ESPHS 2011"},"authoring_entity":[{"name":"Rwanda Biomedical Center\/ Institute of HIV\/AIDS, Disease Prevention and Control Department (RBC\/IHDPC)","affiliation":"Government of Rwanda"}],"production_statement":{"producers":[{"name":"School of Public Health, University of Rwanda","affiliation":"","role":"Collaborated in the implementation of the study"},{"name":"National Institute of Statistics of Rwanda","affiliation":"","role":"Provided assistance in the implementation of the study"},{"name":"ICF International","affiliation":"","role":"Technical assistance"},{"name":"Centers for Disease Control and Prevention","affiliation":"","role":"Provided additional assistance"},{"name":"Princeton University","affiliation":"","role":"Provided additional assistance"},{"name":"University of Florida","affiliation":"","role":"Provided additional assistance"}],"funding_agencies":[{"name":"Government of Rwanda","abbreviation":"GovRWA","role":"Funded the study"},{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Funded the study through the DHS programme"},{"name":"Government of Japan","abbreviation":"GovJPN","role":"Funded the study"},{"name":"United Nations Programme on HIV\/AIDS","abbreviation":"UNAIDS","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, Special [hh\/dhs-sp]","series_info":"The Rwanda pilot survey for \"Estimating the Size of Key Populations at Higher Risk of HIV through a Household Survey\" (ESPHS) is a national sample survey designed to provide information on hard-to-reach populations such as injecting drug users (IDU), sex workers, etc. A nationally representative sample of 2,125 households was selected in order to generate about 5,000 individual interviews. All household members age 15 and above, who were usual residents of the selected households or who slept in the household the night before the survey were eligible for the survey. The survey was designed to produce a representative estimate of the size of hard-to-reach populations for the country as a whole."},"study_info":{"abstract":"The Estimating the Size of Populations through a Household Survey (EPSHS), sought to assess the feasibility of the network scale-up and proxy respondent methods for estimating the sizes of key populations at higher risk of HIV infection and to compare the results to other estimates of the population sizes. The study was undertaken based on the assumption that if these methods proved to be feasible with a reasonable amount of data collection for making adjustments, countries would be able to add this module to their standard household survey to produce size estimates for their key populations at higher risk of HIV infection. This would facilitate better programmatic responses for prevention and caring for people living with HIV and would improve the understanding of how HIV is being transmitted in the country.\n\nThe specific objectives of the ESPHS were:\n1. To assess the feasibility of the network scale-up method for estimating the sizes of key populations at higher risk of HIV infection in a Sub-Saharan African context;\n2. To assess the feasibility of the proxy respondent method for estimating the sizes of key populations at higher risk of HIV infection in a Sub-Saharan African context;\n3. To estimate the population size of MSM, FSW, IDU, and clients of sex workers in Rwanda at a national level;\n4. To compare the estimates of the sizes of key populations at higher risk for HIV produced by the network scale-up and proxy respondent methods with estimates produced using other methods; and\n5. To collect data to be used in scientific publications comparing the use of the network scale-up method in different national and cultural environments.","coll_dates":[{"start":"2011-06-02","end":"2011-08-09","cycle":""}],"nation":[{"name":"Rwanda","abbreviation":"RWA"}],"geog_coverage":"National","analysis_unit":"- Household\n- Individual","notes":"The 2011 Rwanda Estimating the Size of Populations through a Household Survey covered the following topics:\n\nHOUSEHOLD\n\u2022 Identification\n\u2022 Household schedule, 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, and marital status\n\u2022 Characteristics of the household's dwelling unit, such as the source of drinking water, type of toilet facilities, number of rooms, main material of the floor, roof and walls of the dwelling, and possessions of durable goods (including land).\n\nINDIVIDUAL - for the \"Basic\" definition of \"To Know\"\n\u2022 Identification\n\u2022 Respondent background\n\u2022 Known population\n\u2022 Summation\n\u2022 Target population\n\u2022 Proxy respondent\n\u2022 Stigma\n\nINDIVIDUAL - for the \"Meal\" definition of \"To Know\"\n\u2022 Identification\n\u2022 Respondent background\n\u2022 Known population\n\u2022 Summation\n\u2022 Target population\n\u2022 Proxy respondent\n\u2022 Stigma"},"method":{"data_collection":{"sampling_procedure":"The Estimating the Size of Populations through a Household Survey (ESPHS) used a two-stage sample design, implemented in a representative sample of 2,125 households selected nationwide in which all women and men age 15 years and above where eligible for an individual interview. The sampling frame used was the preparatory frame for the Rwanda Population and Housing Census (RPHC), which was conducted in 2012; it was provided by the National Institute of Statistics of Rwanda (NISR).\n\nThe sampling frame was a complete list of natural villages covering the whole country (14,837 villages). Two strata were defined: the city of Kigali and the rest of the country. One hundred and thirty Primary Sampling Units (PSU) were selected from the sampling frame (35 in Kigali and 95 in the other stratum). To reduce clustering effect, only 20 households were selected per cluster in Kigali and 15 in the other clusters. As a result, 33 percent of the households in the sample were located in Kigali.\n\nThe list of households in each cluster was updated upon arrival of the survey team in the cluster. Once the listing had been updated, a number was assigned to each existing household in the cluster. The supervisor then identified the households to be interviewed in the survey by using a table in which the households were randomly pre-selected. This table also provided the list of households pre-selected for each of the two different definitions of what it means \"to know\" someone.\n\nFor further details on sample design and implementation, see Appendix A of the final report.","coll_mode":"Face-to-face [f2f]","research_instrument":"The Estimating the Size of Populations through a Household Survey (ESPHS) used two types of questionnaires: a household questionnaire and an individual questionnaire. The same individual questionnaire was used to interview both women and men. In addition, two versions of the individual questionnaire were developed, using two different definitions of what it means \u201cto know\u201d someone. Each version of the individual questionnaire was used in half of the selected households.","coll_situation":"Data collection was conducted from June 2 to August 9, 2011 on a nationally representative sample of 2,125 households. Each of these households was visited to obtain information using the Household Questionnaire. All women and all men age 15 years and above were eligible to be individually interviewed, if they were either usual residents of the household or visitors present in the household on the night before the survey. A total of 4,669 women and men were successfully interviewed.","cleaning_operations":"The processing of the ESPHS data began shortly after the fieldwork commenced. Completed questionnaires were returned periodically from the field to the SPH office in Kigali, where they were entered and checked for consistency by data processing personnel who were specially trained for this task. Data were entered using CSPro, a programme specially developed for use in DHS surveys. All data were entered twice (100 percent verification). The concurrent processing of the data was a distinct advantage for data quality, because the School of Public Health had the opportunity to advise field teams of problems detected during data entry. The data entry and editing phase of the survey was completed in late August 2011."},"analysis_info":{"response_rate":"A total of 2,125 households were selected in the sample, of which 2,120 were actually occupied at the time of the interview. The number of occupied households successfully interviewed was 2,102, yielding a household response rate of 99 percent.\n\nFrom the households interviewed, 2,629 women were found to be eligible and 2,567 were interviewed, giving a response rate of 98 percent. Interviews with men covered 2,102 of the eligible 2,149 men, yielding a response rate of 98 percent. The response rates do not significantly vary by type of questionnaire or residence.","sampling_error_estimates":"The estimates from a sample survey are affected by two types of errors: (1) non-sampling errors, and (2) sampling errors. Non-sampling 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 on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made to minimize this type of error during the implementation of the Rwanda ESPHS 2011, non-sampling 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 ESPHS 2011 is only one of many samples that could have been selected from the same population, using the same design and identical 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 between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.\n\nA sampling 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 percent 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 ESPHS 2011 sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the ESPHS 2011 is a SAS program. This program uses the Taylor linearization method for variance estimation for survey estimates that are means or proportions.\n\nA more detailed description of estimates of sampling errors are presented in Appendix B of the survey report."}},"data_access":{"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","data_files":[{"file_id":"F1","file_name":"QHSEC01","description":"HOUSEHOLD\n- Household Schedule","case_count":8620,"var_count":12,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F2","file_name":"QHSEC02","description":"HOUSEHOLD\n- Household Characteristics","case_count":2102,"var_count":38,"producer":null,"data_checks":null,"version":null,"notes":null,"metadata":null},{"file_id":"F3","file_name":"QHSECOVER","description":"HOUSEHOLD\n- Household 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