{"doc_desc":{"title":"TDHS 2015-2016nada","idno":"TZA-NBS-DHS-2015-2016-v01.","producers":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"Ministry of Finance and Planning","role":"Data producer"}],"prod_date":"2016-12-24","version_statement":{"version":"Version 01.0(December 2016)"}},"study_desc":{"title_statement":{"idno":"TZA-NBS-2015-2016v01","title":"Tanzania Demographic and Health Survey 2015-2016","alt_title":"TDHS 2015-2016"},"authoring_entity":[{"name":"National Bureau of Statistics","affiliation":"NBS"},{"name":"Office of Chief Government Statistician-  Zanzibar","affiliation":"OCGS"}],"oth_id":[{"name":"The nurses","affiliation":"the Ministry responsible for Health Tanzania","email":"","role":"Interviewers"},{"name":"NBS and OCGS staff","affiliation":"NBS and OCGS","email":"","role":"Field Supervisors, Field and Office editors"},{"name":"Drivers","affiliation":"NBS and OCGS","email":"","role":"teams drivers"}],"production_statement":{"producers":[{"name":"Ministry of Health, Community Development, Gender, Elderly and Children, Tanzania Mainland","affiliation":"","role":"Technical assistance"},{"name":"Ministry of Health, Zanzibar","affiliation":"","role":"Technical assistance"},{"name":"ICF Macro","affiliation":"","role":"Technical assistance"},{"name":"Tanzania Food and nutrition Centre","affiliation":"","role":"Technical assistance"},{"name":"National Malaria Control Program","affiliation":"","role":"Technical assistance"},{"name":"National Institute for Medical Research","affiliation":"","role":"Technical assistance"},{"name":"Zanzibar Malaria Elimination Programme","affiliation":"","role":"Technical assistance"},{"name":"Ifakara Health Institute","affiliation":"","role":"Technical assistance"}],"copyright":"(c)National Bureau of Statistics","prod_date":"2016-12-24","funding_agencies":[{"name":"The Government of the United Replic of Tanzania","abbreviation":"TZA","role":"Financial support"},{"name":"Global Affairs Canada","abbreviation":"","role":"Financial support"},{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Financial support"},{"name":"Irish Aid","abbreviation":"","role":"Financial support"},{"name":"United Nations Population Fund","abbreviation":"UNFPA","role":"Financial support"},{"name":"United Nations Children's Fund","abbreviation":"UNICEF","role":"Financial support"}]},"distribution_statement":{"contact":[{"name":"Director General","affiliation":"National Bureau of Statistics","email":"dg@nbs.go.tz","uri":"http://www.nbs.go.tz/"}],"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"series_statement":{"series_name":"Demographic and Health Survey [hh/dhs]","series_info":"Tanzania Demographic and Health Survey 2015-2016 is the ninth round survey to be conducted in Tanzania, it is the latest Health survey to be conducted in Tanzania, The first one was the 1991-92 TDHS, which was followed by the Tanzania Knowledge, Attitudes, and Practices Survey (TKAPS) in 1994, the 1996 TDHS, the 1999 Tanzania Reproductive and Child Health Survey (TRCHS), the 2003-04 Tanzania HIV/AIDS Indicator Survey (THIS) , the Tanzania Demographic and Health Survey 2004-2005, the 2007-08 Tanzania HIV/AIDS and Malaria (THMIS) Indicator Survey (THIS)  and Tanzania Demographic and Health Survey 2010."},"version_statement":{"version":"Version 1.0 (Public use file for web dissemination)","version_date":"2016-12"},"study_info":{"keywords":[{"keyword":"HEALTH","vocab":"","uri":""},{"keyword":"Demographic and Health Survey","vocab":"","uri":""},{"keyword":"DHS","vocab":"","uri":""},{"keyword":"AFYA","vocab":"","uri":""},{"keyword":"Malaria Indicator Survey","vocab":"","uri":""},{"keyword":"TDHS","vocab":"","uri":""},{"keyword":"MIS","vocab":"","uri":""},{"keyword":"2015","vocab":"","uri":""}],"topics":[{"topic":"HEALTH [8]","vocab":"cessda","uri":""},{"topic":"DEMOGRAPHY AND POPULATION [14]","vocab":"cessda","uri":""}],"abstract":"2015-16 TDHS-MIS provides up-to-date information on fertility levels, marriage, sexual activity, fertility preferences,  family planning methods, breastfeeding practices, nutrition, childhood and maternal mortality, maternal and child health, malaria, and other health-related issues.\n\nIt is designed to provide estimates at the national level, for urban and rural areas for the country as a whole and the mainland, at the zonal level, and for some, but not all indicators, estimates at the regional level\n\nSampling Frame: 2012 Tanzania Population and Housing Census\nFirst Stage:  608 clusters selected, Second Stage: 22 households selected from each cluster. In total, 13,376 households selected.\n\nSelected households were visited and interviewed; all women age 15-49 in all of the selected households. Men age 15-49 in one-third of the selected households were interviewed\n\nFour Questionnaires were used: Household Questionnaire, Woman\u2019s Questionnaire, Man\u2019s Questionnaire, Biomarker Questionnaire\n\nFindings :\n61% of households have access to an improved source of drinking water. \n19% of households have an improved sanitation facility; 10% of households have no sanitation facility.\n23% of households have electricity.\n15% of women and 8% of men have never attended school.\n72% of women and 88% of men worked in the past 7 days.\n\nChildhood mortality has decreased over the past two decades.  Current infant mortality rate is 43 deaths per 1,000 live births and under-5 mortality rate is 67 deaths per 1,000 live births.\nChildhood mortality is generally higher among children of less educated mothers and those in urban Mainland areas. \nChildhood mortality is much higher among children born less than 2 years after a previous birth.\nMaternal mortality ratio is 556 deaths per 100,000 live births.\nChildren are breastfed for a median of 20.0 months.\nChildren under 6 months are exclusively breastfed for 3.0 months. \n59% of children under 6 months are exclusively breastfed.\n21% of pregnant women took iron supplements for 90+ days as recommended.\n34% of children under 5 are stunted (too short for their age).\n58% of children under 5 and 45% of women age 15-49 are anaemic.\n28% of women are overweight or obese.\n66% of households own at least one ITN.\n56% of the household population has access to an ITN.\n49% of household members, and 54% of children under 5 and pregnant women slept under an ITN the night before the survey.\n85% of children under 5 with fever in the 2 weeks before the survey who took an antimalarial took ACT.\n5% of children age 6-59 months have low haemoglobin.\n14% of children age 6-59 months tested positive for malaria by RDT.\n84% of married woman and more than 99% of married men were employed in the year before the survey.\n58% of women and 40% of men believe a husband is justified in beating his wife for at least one reason. \n10% of women age 15-49 are circumcised.\n42% of ever-married women have suffered from spousal violence, whether physical or sexual, and 30% did so within the past year.","coll_dates":[{"start":"2015-09-22","end":"2016-02-14","cycle":""}],"nation":[{"name":"Tanzania","abbreviation":"TZA"}],"geog_coverage":"Tanzania Mainland and Zanzibar","analysis_unit":"Household and Individual( Woman and Men)","universe":"The survey covered the national population aged 15-49 years","data_kind":"Sample survey data [ssd]","notes":"- Household Questionnaire: Lists usual members and visitors , Basic characteristics(age, sex, education, etc), Education, parents\u2019 survival status of children, Housing characteristics and Identify women and men eligible for individual interview\n\n-Woman\u2019s Questionnaire; Background characteristics (age, education, media exposure, etc.)\nBirth history and childhood mortality, Knowledge and use of family planning methods, Fertility preferences,Antenatal, delivery and postnatal care,Breastfeeding and infant feeding practices, Vaccinations and childhood illnesses, Marriage and sexual activity, Women\u2019s work and husband\u2019s background characteristics, Adult mortality, including maternal mortality,Malaria, Female Genital Cutting and Domestic violence.\n\n-Man\u2019s Questionnaire: Background characteristics (age, religion, education, literacy, etc.),Marriage and sexual activity, Fertility preferences, Husband\u2019s characteristics and women\u2019s employment activity, Other adult health issues.\n\n- Biomarkers: Height and weight measurements(Children under 5, Women age 15-49), Anaemia testing (Children age 6-59 months, Women age 15-49), Malaria testing (Children age 6-59 months), Urine sample(Women age 15-49)"},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"Ministry of Finance and Planning"}],"sampling_procedure":"Sampling Frame: 2012 Tanzania Population and Housing Census\nFirst Stage:  608 clusters selected\nSecond Stage: 22 households selected from each cluster. In total, 13,376 households selected.\n\nSelected households were visited and interviewed; all women age 15-49 in all of the selected households. Men age 15-49 in one-third of the selected households were interviewed.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"- Household Questionnaire: Lists usual members and visitors , Basic characteristics(age, sex, education, etc), Education, parents' survival status of children, Housing characteristics and Identify women and men eligible for individual interview\n\n-Woman's Questionnaire; Background characteristics (age, education, media exposure, etc.)\nBirth history and childhood mortality, Knowledge and use of family planning methods, Fertility preferences,Antenatal, delivery and postnatal care,Breastfeeding and infant feeding practices, Vaccinations and childhood illnesses, Marriage and sexual activity, Women's work and husband's background characteristics, Adult mortality, including maternal mortality,Malaria, Female Genital Cutting and Domestic violence.\n\n-Man's Questionnaire: Background characteristics (age, religion, education, literacy, etc.),Marriage and sexual activity, Fertility preferences, Husband's characteristics and women's employment activity, Other adult health issues.\n\n- Biomarkers: Height and weight measurements(Children under 5, Women age 15-49), Anaemia testing (Children age 6-59 months, Women age 15-49), Malaria testing (Children age 6-59 months), Urine sample(Women age 15-49)","coll_situation":"Pretest: Training from May 20 to June 18, 2015, with 16 individuals in 2 rural and 2 urban enumeration areas\nMain Survey Training: Training from July 20 to August 21, 2015, with 134 fieldworkers\nThere were 16 teams : 1 team supervisor, 4 female interviewers, 1 male interviewer, and 1 field editor\nPaper questionnaires were used in the field where by Field editors checked questionnaire and entered data into tablet. \nCompleted Questionnaires returned to NBS headquarters.","act_min":"Total of 16 teams: each with 1 team supervisor, 4 female interviewers, 1 male interviewer, and 1 field editor\n\n134 people were involvd and serve as supervisors, field editors, male and female interviewers, quality control personnel, and reserves. As in the previous surveys, the Ministry of Health was requested to secure the service of trained nurses to work as field staff. They all participated in the main interviewer training, which began on July 20, 2015 to August 21, 2015  in Moshi. Staff from the NBS and invited experts led the training, which was conducted mainly in Kiswahili and included lectures, presentations, practical demonstrations, and practice interviewing in small groups. The training included field work practices. The participants also received training on height and weight measurements , Anaemia testing, Malaria testing, Urine sample and Salt testing. Experts from the Tanzanian Food and Nutrition Centre and the Ifakara Health institute  led those training sessions. A series of lectures was also held specifically for the group comprising supervisors, field editors, quality control personnel, and field coordinators","cleaning_operations":"Paper questionnaires were used in the field. Field editors checked questionnaires and entered data into tablet. electronic data version was sent through the internet to the NBS head quaters. Completed Questionnaires were sent back to NBS headquarters for second keying.","method_notes":"Data processing personnel entered data with CSPro. Data processing included data entry and editing."},"analysis_info":{"response_rate":"Household Interviews: 98%\n\nInterviews with Women age 15-49: 97%\n\nInterviews with Men age 15-49: 92%","sampling_error_estimates":"The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors, and (2) 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 on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2015-16 Tanzania Demographic and Health Survey (TDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically. Sampling errors, on the other hand, can be evaluated statistically. \n\nThe sample of respondents selected in the 2015-16 TDHS 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 between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results. A 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. If 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 2015-16 TDHS 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 2015-16  TDHS is the SAS program. This program used the Taylor linearization method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method was  used for variance estimation of more complex statistics such as fertility and mortality rates. Formular and other detail of sampling errors are found from page 413-414 of the Main report report."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The Data confidentiality is protected by the Statistics Act 2015,\nBefore being granted access to the dataset, all users have formally agree:\n1.all identifying information such as the name and address of respondent has been removed; and\n2.the information is disclosed in a manner that is not likely to enable the identification of the \nparticular person or undertaking or business to which it relates.\n3.not attempt to identify any particular person or undertaking or business;\n4.use of information for research or statistically purpose only;\n5.not to disclose the information to any other person, organization\n6.when required by the Director General, return all documents made available to him to the Director General;\n7.comply with the directions given by the Director General relating to the records.\n8.every person involved in the research or statistical project for which information is disclosed pursuant to this section shall make the declaration of secrecy set out in the first schedule.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"National Bureau of Statistics","affiliation":"Ministry of finance and Planning","email":"dg@nbs.go.tz","uri":"http://www.nbs.go.tz/"}],"cit_req":"\"National Bureau of Statistics,Demographic and Health Survey and Malaria Indicator Survey 2015-2016, version 1.0 of the public use datasets(December 2016), provided by the National Bureau of Statistics, www.nbs.go.tz\"","conditions":"The dataset has been anonymized and available as a public use dataset. 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