{"type":"survey","doc_desc":{"title":"MWI_2008_GFHHCS_v01_M","idno":"DDI_MWI_2008_GFHHCS_v01_M","producers":[{"name":"National Statistical Office","abbreviation":"NSO","affiliation":"","role":"Data Documentation"},{"name":"International Household Survey Network","abbreviation":"IHSN","affiliation":"","role":"Technical Assistance"}],"prod_date":"2009-05-05","version_statement":{"version":"Version 01: Adopted from \"MWI-NSO-MHRGF-2008-V0.1_ddi\" DDI that was done by metadata producers mentioned in \"Metadata Production\" section."}},"study_desc":{"title_statement":{"idno":"MWI_2008_GFHHCS_v01_M","title":"Global Fund Household Health Coverage Survey 2008","sub_title":"Household Health Coverage Survey 2008","alt_title":"GFHHCS 2008"},"authoring_entity":[{"name":"National Statistical Office (NSO)","affiliation":"Ministry of Economic Planning and Development"}],"production_statement":{"copyright":"(c) 2009, National Statistics Office (NSO), Malawi","funding_agencies":[{"name":"Macro International","abbreviation":"ORC Macro","role":"Funding and technical assistance"}]},"series_statement":{"series_name":"Other Household Health Survey [hh\/hea]","series_info":"This is the first Household Health Coverage Survey conducted for the Five-Year Global Fund Evaluation, as part of the District Comprihensive Assessment activity."},"study_info":{"abstract":"This survey was conducted in the scope of the Global Fund Five-Year Evaluation.\n\nPurpose\n(1)  To provide population-based data on knowledge of TB and HIV\/AIDS; sexual behavior; utilization of services related to HIV testing and maternal and child health; and coverage of IRS and bednets\n(2)  To provide basic information on health expenditure\n\nObjective \nTo provide data to evaluate the following areas:\n-Resource tracking [Inputs]\n-Access\/coverage\/use of services [Outcomes]\n-Public health impact [Impact]\n-Health system strengthening [Impact]\n\nContent\nTypes of indicators:\n- household level demographic and socio-economic indicators such as education, wealth assets, residence\t\n- HIV- Knowledge and Behavior, Prevention, Counseling and Testing, PMTCT\n- Tuberculosis- Knowledge and Behavior\n- Malaria - ITN, IRS, IPTp, Prompt and effective treatment\n- Health system effects\n- Financing","time_periods":[{"start":"2007-12-27","end":"2008-02-28","cycle":""}],"coll_dates":[{"start":"2007-12-27","end":"2008-02-28","cycle":""}],"nation":[{"name":"Malawi","abbreviation":"MWI"}],"geog_coverage":"National - at district level","analysis_unit":"- Households\n- Children under 5 years\n- Women","universe":"The survey covered all de jure household members (usual residents) in the selected households of the selected enumeration areas in the eight sampled districts , all women aged 15-49 years resident in the household, and all children aged 0-59 months (under age 5) resident in the selected household.","data_kind":"Sample survey data [ssd]","notes":"The survey covers the follwoing topics:\n\n HOUSEHOLD: \n- Household listing\n- Demographic information\n- Household members\n- Bednets\n- Health expenditures\n- Deaths in the household\n\nWOMEN:\n- Respondent's background\n- Birth history\n- Antenatal and delivery care\n- Immunization\n- Diarrhea \n- Fever and malaria \n- Tuberculosis \n- Marriage and sexual activity\n- HIV\/AIDS knowledge","study_scope":"The survey covers the follwoing topics:\n\n HOUSEHOLD: \n- Household listing\n- Demographic information\n- Household members\n- Bednets\n- Health expenditures\n- Deaths in the household\n\nWOMEN:\n- Respondent's background\n- Birth history\n- Antenatal and delivery care\n- Immunization\n- Diarrhea \n- Fever and malaria \n- Tuberculosis \n- Marriage and sexual activity\n- HIV\/AIDS knowledge"},"method":{"data_collection":{"data_collectors":[{"name":"National Statistical Office","abbreviation":"NSO","affiliation":"Ministry of Economic Planning and Development"}],"sampling_procedure":"6625 households were selected from 8 districts and 30 clusters, 25 households per district.\n\nSelection process: 8 districts were purposefully selected based on geographic criteria (one per region), and urban\/rural to reflect national urban\/rural mix.\n\nStratification: stratified by district\n\nStages of sample selection: purposeful selection of 8 districts, clusters selected PPS (probability proportional to size), households in clusters were sampled systematically after household listing was updated.\n\nDesign omissions: In 'City district of Lilongwe', the city and rural were separated as two districts. In the city 25 clusters were sampled with 25 households selected in each cluster. In Lilongwe rural 30 clusters were sampled with 25 households in each cluster. That is essentially we had 9 districts.\n\nLevel of representation: district level\n\nStrategy for absent respondents: no replacement\n\nSample frame: Original sample frame of clusters is based on the 1998 Malawi Population and Housing Census; household listing in selected clusters prior to systematically selecting the households.","coll_mode":"Face-to-face [f2f]","research_instrument":"Questionnaire modules were based on the standard DHS, including a HH and a woman questionnaire. \n- Household modules include: Household listing of members and demographic information, Household members, Bednets, Health expenditures and Deaths in the household.\n- Woman modules include: Respondent's background, Birth history, Antenatal and delivery care, Immunization, Diarrhea, Fever and malaria, Tuberculosis, Marriage and sexual activity, and HIV\/AIDS.","coll_situation":"The trainning of enumerators and team leaders together with data processors was coducted for ten days in mid december 2007. The interviews were conducted in local language. The enumerators were selected from a pool of experianced enumerators who had just finished conducting the Agriculture Census to ensure good quality of the data collected.","act_min":"Interviewing was conducted by teams of interviewers. Each interviewing team comprised of 4 female, 2 male interviewers and a team leader, and a driver.  Each team used a 4 wheel drive vehicle to travel from cluster to cluster (and where necessary within cluster).\n\nThe role of the team leader was to was to coordinator field data collection activities, including management of the field teams, supplies and equipment, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, the team leader assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office.  \n\nThe team leader was also responsible for reviewing each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and checking for inconsistencies in the data.  The team leader also observed interviews and conducted review sessions with interviewers.\n\nResponsibilities of the team leader are described in the Instructions for Supervisors, together with the different field controls that were in place to control the quality of the fieldwork.\n\nField visits were also made by a team of Senior supervisors on a periodic basis during fieldwork. The Senior supervisors of National Statistical Office also made several visits to field teams to provide support and to review progress.","weight":"The household weight is the inverse of the household selection probability multiplied by the inverse of the household response rate of its household response rate group. The woman's weight is the household weight multiplied by the inverse of the individual response rate of her individual response rate group.\n\nNote the HH weight variable is in the QHSECOVER record, and the woman weight variable is in the QSECOVER.  These weights are not merged with respective household and woman records.","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including:\na) Office editing and coding, verification of completed questionnaires\nb) During data entry (scanned questionnaires also pass through verification process)\nc) Structure checking and completeness out files in SPSS format","method_notes":"Data were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing. Data was captured scanners through Optical reading. Each cluster went through the following steps:\n1) Questionnaire reception\n2) Office editing and coding\n3) Data entry by scanners \n\nScanning had four processes namely Scanning, interpretation, verification and transfer. Transferred data is stored in out-files in notepad which is then transferred to SPSS format to for:\n1) Structure and completeness checking\n2) Verification entry\n3) Comparison of verification data\n4) Back up of raw data\n5) Secondary editing\n6) Edited data back up\n\nAfter all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:\n1) Export to SPSS in 2 files (household, individual)\n2) Recoding of variables needed for analysis\n3) Adding of sample weights\n4) Calculation of wealth quintiles and merging into data\n5) Structural checking of SPSS files\n6) Data quality tabulations\n7) Production of analysis tabulations\n \nDetails of each of these steps can be found in the data processing documentation, data editing guidelines, data processing programs in Eyes and Hands and SPSS, and tabulation guidelines.\n\nData entry was conducted by 18 data entry operators in two shifts, supervised by 2 data entry supervisors, using a total of 7 computers (one scanning computer, three data verification computers plus one interpretation and transferring computer plus one supervisor' computer for data cleaning and storage).  All data entry was conducted at the National Statistical Office head office using optical reading by scanners.  For data entry, Eyes and Hands software for scanning was used with a highly structured data capturing program, using system controlled approach that controlled entry of each variable.  All range checks and skips were controlled by the program and operators could not override these.  A limited set of consistency checks were also included in the data entry program. \n \nStructure and completeness checking ensured that all questionnaires for the cluster had been entered, were structurally sound, and that women's  questionnaires existed for each eligible woman. 100% verification of all variables was performed using independent verification, i.e. double entry of data, with separate comparison of data followed. \n\nAfter completion of all processing in Eyes and hands, all individual cluster files were backed up. \n\nFor tabulation and analysis SPSS versions 12.0 and 13.0 were used.  Version 12.0 was originally used for all tabulation programs.  Later version 13.0 was used for child data, data quality tabulations and other analysis activities.\n\nAfter transferring all files to SPSS, certain variables were recorded for use as background characteristics in the tabulation of the data, including grouping age, education, and geographic areas as needed for analysis.  In the process of recoding ages and dates some random imputation of dates (within calculated constraints) was performed to handle missing or \"don't know\" ages or dates.  Additionally, a wealth (asset) index of household members was calculated using principal components analysis, based on household assets, and both the score and quintiles were included in the datasets for use in tabulations."},"analysis_info":{"response_rate":"Household response rate 94% and woman response rate 94%.","data_appraisal":"- Frequency checks and data cleaning during data colletion, and final data cleaning"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"No personally identifiable information is available in the microdata sets.  See informed consent statement in Qs.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"The Global Fund","affiliation":"","email":"wilson.lo@theglobalfund.org","uri":""}],"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 acronym and year of implementation)\n- the survey reference number\n- the source and date of download","conditions":"The Global Fund 5-year impact evaluation data is available to outside researchers as licensed data files. These files can be accessed though the public web site and require user registration. There is a two step procedure required to access the files:\n\n1. The researcher should register as a user.\n2. Once registered the researcher will be required to fill out a detailed license request form that will provide the Global Fund with details on how the data will be used. \n\nCertain conditions may apply depending on the data requested (facility or household). General terms and conditions are provided in the licensing form. Specific terms that apply depend on the survey requested (Facility or Household)\n\nFacility:\n \nThe names of the facilities have been suppressed. However, some of the files contain geographic references that could be used to re-identify the facility. If your research project will use the district level data to identify the facility, please be sure to specify the reasons for the re-identification In certain instances, country concurrence may be required.  For any information required to validate the name of the facility, please contact the appropriate country authority.\n\nHousehold:\n\nHousehold data is recoded and no direct identifiers are available. No special conditions apply for access to the recoded data.","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 interpretation or inferences based upon such uses."}}},"data_files":[{"file_id":"F1","file_name":"INDIVIDUAL FLAT FILE_1","description":"The file contains data related to the women aged 14-49 characteristics.  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