{"doc_desc":{"title":"GHA_2016_MIS_v01_M","idno":"DDI_SLE_2016_MIS_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Metadata preparation"}],"prod_date":"2017-10-10","version_statement":{"version":"Version 01 (October 2017). Metadata is excerpted from \"Sierra Leone Malaria Indicator Survey 2016\" Report."}},"study_desc":{"title_statement":{"idno":"SLE_2016_MIS_v01_M","title":"Malaria Indicator Survey 2016","alt_title":"MIS \/ SLMIS 2016"},"authoring_entity":[{"name":"National Malaria Control Programme (NMCP)","affiliation":"Ministry of Health and Sanitation (MoHS), Government of Sierra Leome"}],"production_statement":{"producers":[{"name":"Catholic Relief Services","affiliation":"","role":"Collaborated in the implementation of the study"},{"name":"College of Medicine and Allied Health Sciences University of Sierra Leone","affiliation":"Government of Sierra Leone","role":"Collaborated in the implementation of the study"},{"name":"Statistics Sierra Leone","affiliation":"Government of Sierra Leone","role":"Collaborated in the implementation of the study"},{"name":"ICF","affiliation":"The DHS Program","role":"Provided technical assistance"}],"funding_agencies":[{"name":"Government of Sierra Leone","abbreviation":"GovSLE","role":"Funded the study"},{"name":"Global Fund","abbreviation":"GF","role":"Funded the study"},{"name":"World Health Organization","abbreviation":"WHO","role":"Funded the study"},{"name":"United Nation 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, MIS","series_info":"The 2016 Sierra Leone Malaria Indicator Survey (SLMIS) is the second MIS conducted in Sierra Leone. The first MIS was conducted in 2003."},"study_info":{"abstract":"The 2016 SLMIS, a comprehensive, nationally-representative household survey, was designed in line with the Roll Back Malaria Monitoring and Evaluation Working Group (RBM-MERG) guidelines. The primary objective of the survey was to provide up-to-date estimates of basic demographic and health indicators related to malaria. On site in Sierra Leone, the survey team collected data on vector control interventions such as mosquito nets and indoor residual spraying of insecticides, on intermittent preventive treatment of malaria in pregnant women, and on care seeking and treatment of fever in children. Young children were also tested for anaemia and for malaria infection. Knowledge of malaria was assessed among interviewed women. The information collected during the survey will assist policy makers and programme managers in evaluating and designing programmes and strategies for improving malaria control. The broader goal is to improve the health of the country\u2019s population and provide estimates of indicators defined in the 2016-2020 National Malaria Strategic Plan (MoHS 2015a).","coll_dates":[{"start":"2016-06-29","end":"2016-08-04","cycle":""}],"nation":[{"name":"Sierra Leone","abbreviation":"SLE"}],"geog_coverage":"National coverage","analysis_unit":"- Household\n- Individual\n- Children age 0-5\n- Woman age 15-49","universe":"The survey covered all de jure household members (usual residents), women age 15-49 years and children age 6-59 months resident in the household.","data_kind":"Sample survey data [ssd]","notes":"The 2016 Sierra Leone Malaria Indicator 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, and sex\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, number of rooms, ownsership of livestock, access to electricity, possessions of durable goods, mosquito nets, and main material for the floor, roof and walls of the dwelling.\n\nINDIVIDUAL WOMAN\n\u2022 Identification\n\u2022 Respondent's background\n\u2022 Reproduction\n\u2022 Pregnancy and intermittent preventive treatment\n\u2022 Fever in children\n\u2022 Knowledge of Malaria\n\nBIOMARKER\n\u2022 Identification\n\u2022 Hemoglobin measurement and malaria testing for children age 0-5"},"method":{"data_collection":{"data_collectors":[{"name":"National Malaria Control Programme","abbreviation":"NMCP","affiliation":"Ministry of Health and Sanitation (MoHS), Government of Sierra Leome"}],"sampling_procedure":"The 2016 SLMIS followed a two-stage sample design and was intended to allow estimates of key indicators for the following domains:\n\u2022 National\n\u2022 Urban and rural areas\n\u2022 Four regions: Northern, Southern, Eastern and Western\n\u2022 Fourteen administrative districts: Bo, Bombali, Bonthe, Kailahun, Kambia, Kenema, Koinadugu, Kono, Moyamba, Port Loko, Pujehun, Tonkolili, Western Area Rural, and Western Area Urban.\n\nData was disaggregated by district because the health system is managed by district.\n\nThe first stage of sampling involved selecting sample points (clusters) from the sampling frame. Enumeration areas (EAs) delineated by Statistics Sierra Leone for the 2015 Sierra Leone Population and Housing Census (SLPHC) were used as the sampling frame (SSL 2016). A total of 336 clusters were selected with probability proportional to size from the 12,856 EAs covered in the 2015 SLPHC. Of these clusters, 99 were in urban areas and 237 in rural areas. Urban areas were oversampled within regions in order to produce robust estimates for that domain.\n\nThe second stage of sampling involved systematic selection of households. A household listing operation was undertaken in all of the selected EAs in May 2016, and households to be included in the survey were randomly selected from these lists. Twenty households were selected from each EA, for a total sample size of 6,720 households\n\nFor further details on sample design, see Appendix A of the final report.","coll_mode":"Face-to-Face[f2f]","research_instrument":"Three questionnaires\u2014the Household Questionnaire, the Woman\u2019s Questionnaire, and the Biomarker Questionnaire\u2014were used for the 2016 SLMIS. Core questionnaires available from the RBM-MERG were adapted to reflect the population and health issues relevant to Sierra Leone. The modifications were decided upon at a series of meetings with various stakeholders from the National Malaria Control Programme (NMCP) and other government ministries and agencies, nongovernmental organisations, and international donors. The questionnaires were in English, and they were programmed onto tablet computers, enabling use of computer-assisted personal interviewing (CAPI) for the survey.","coll_situation":"Twenty-eight teams were organised for field data collection. Each team consisted of one field supervisor, one health professional to interview and administer treatment, one experienced survey implementer with map reading skills, one laboratory technician to conduct biomarker testing, and one driver. The field staff also included 14 district coordinators and 14 district runners who collected slides from the field teams and delivered them to the COMHAS-USL laboratory at Jui.\n\nThe CRS arranged for printing of questionnaires, manuals, consent forms, brochures, and other field forms. CRS organised field supplies such as backpacks and identification cards. CRS and SSL coordinated the fieldwork logistics.\n\nField data collection for the 2016 SLMIS started on 27 June 2016. For maximum supervision, all 28 teams were visited by national monitors, largely members of the technical working group, at least once in every week. Fieldwork was completed on 4 August 2016.","weight":"A spreadsheet containing all of the sampling parameters and selection probabilities was constructed to facilitate the calculation of sampling weights. Household sampling weights and individual sampling weights were obtained by adjusting the above-calculated weight to compensate for household nonresponse and individual nonresponse, respectively. These weights were further normalized at the national level to produce equal numbers of unweighted and weighted cases for both households and individuals. The normalized weights are valid for estimations of proportions and means at any aggregation level but are not valid for estimations of totals.\n\nFor further details on sampling weights, see Appendix A.4 of the final report.","cleaning_operations":"Data for the 2016 SLMIS were collected through questionnaires programmed onto the CAPI application. The CAPI were programmed by ICF and loaded with the Household, Biomarker, and Woman\u2019s Questionnaires. Using the cloud, the field supervisors transferred data on a daily basis to a central location for data processing at CRS in Freetown. To facilitate communication and monitoring, each field worker was assigned a unique identification number.\n\nICF provided technical assistance for processing the data using Censuses and Surveys Processing (CSPro) system for data editing, cleaning, weighting, and tabulation. In the CRS central office, data received from the field teams\u2019 CAPI applications were registered and checked against any inconsistencies and outliers. Data editing and cleaning included an extensive range of structural and internal consistency checks."},"analysis_info":{"response_rate":"A total of of the 6,720 households selected for the sample, 6,719 were occupied at the time of fieldwork. Among the occupied households, 6,719 were successfully interviewed, yielding a total household response rate of nearly 100%. In the interviewed households, 8,526 eligible women were identified to be eligible for individual interview and 8,501 were successfully interviewed, yielding a response rate of 99.7%.","sampling_error_estimates":"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- Completeness of reporting\n- Births by calendar years\n\nNote: See details of the data quality tables in Appendix C of the final 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","tags":[{"tag":"noDOI"}]}