{"type":"survey","study_desc":{"title_statement":{"idno":"TLS_2009_DHS_v01_M","title":"Demographic and Health Survey 2009-2010","alt_title":"DHS 2009-10"},"authoring_entity":[{"name":"National Statistics Directorate","affiliation":"Ministry of Finance"}],"production_statement":{"producers":[{"name":"ICF Macro","affiliation":"","role":"Technical assistance"}],"prod_date":"2011-02-20","funding_agencies":[{"name":"United States Agency for International Development","abbreviation":"USAID","role":"Financial support"},{"name":"Government of Australia","abbreviation":"AusAID","role":"Financial support"},{"name":"Government of Ireland","abbreviation":"Irish AID","role":"Financial support"},{"name":"United Nations Population Fund","abbreviation":"UNFPA","role":"Financial support; administrative, logistical, and technical assistance."},{"name":"United Nations Children\u2019s Fund","abbreviation":"UNICEF","role":"Financial support"},{"name":"United Nations Development Fund","abbreviation":"UNDP","role":"Financial support"},{"name":"World Health Organization","abbreviation":"WHO","role":"Financial support"}]},"distribution_statement":{"contact":[{"name":"General Inquiries","affiliation":"","email":"info@measuredhs.com","uri":"www.measuredhs.com "},{"name":"Data and Data Related Resources","affiliation":"","email":"archive@measuredhs.com","uri":"www.measuredhs.com "}],"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"series_statement":{"series_name":"Demographic and Health Survey (standard) - DHS VI","series_info":"The 2009-2010 Timor-Leste Demographic and Health Survey (TLDHS) was the second of its kind following the survey conducted in 2003."},"study_info":{"abstract":"The principal objective of the 2009-10 Timor-Leste Demographic and Health Survey (TLDHS) was to provide current and reliable data on fertility and family planning behavior, child mortality, adult and maternal mortality, child nutritional status, the utilization of maternal and child health services, and knowledge of HIV\/AIDS. \n\nThe specific objectives of the survey were to:\n- collect data at the national level that will allow the calculation of key demographic rates;\n- analyze the direct and indirect factors that determine the levels and trends in fertility;\n- measure the level of contraceptive knowledge among women and men, and measure the level of practice among women by method, according to urban or rural residence;\n- collect quality data on family health, including immunization coverage among children, prevalence and treatment of diarrhea and other diseases among children under age 5, and maternity care indicators, including antenatal visits, assistance at delivery, and postnatal care;\n- collect data on infant and child mortality and on maternal and adult mortality;\n- obtain data on child feeding practices, including breastfeeding, and collect anthropometric measures to use in assessing the nutritional status of women and children;\n- collect information on knowledge of tuberculosis (TB), knowledge of the spread of TB, and attitudes towards people infected with TB among women and men;\n- collect data on use of treated and untreated mosquito nets, persons who sleep under the nets, use of drugs for malaria during pregnancy, and use of antimalarial drugs fortreatment of fever among children under age 5;\n- collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV\/AIDS, and evaluate patterns of recent behavior regarding condom use;\n- collect information on the sexual practices of women and men; their number of sexual partners in the past 12 months, and over their lifetime; risky sexual behavior, including condom use at last sexual intercourse; and payment for sex;\n- conduct hemoglobin testing on women age 15-49 and children age 6-59 months in a subsample of households selected for the survey to provide information on the prevalence of anemia among women of reproductive age and young children;\n- collect information on domestic violence\n\nThis information is essential for informed policy decisions, planning, monitoring, and evaluation of programs on health in general, and on reproductive health in particular, at both the national and district levels. A long-term objective of the survey is to strengthen the technical capacity of government organizations to plan, conduct, process, and analyze data from complex national population and health surveys. Moreover, the 2009-10 TLDHS provides national and district-level estimates on population and health that are comparable to data collected in similar surveys in other developing countries. The first Demographic and Health Survey (DHS) in Timor-Leste was done in 2003. Unlike the 2003 DHS, however, the 2009-10 TLDHS was conducted under the worldwide MEASURE DHS program, funded by the United States Agency for International Development (USAID) and with technical assistance provided by ICF Macro. Data from the 2009-10 TLDHS allow for comparison of information gathered over a longer period of time and add to the vast and growing international database on demographic and health variables.\n\nThe 2009-10 TLDHS supplements and complements the information collected through the censuses, updates the available information on population and health issues, and provides guidance in planning, implementing, monitoring and evaluating Timor-Leste's health programs. Further, the results of the survey assist in monitoring the progress made towards meeting the Millennium Development Goals (MDGs) and other international initiatives.\n\nThe 2009-10 TLDHS includes topics related to fertility levels and determinants; family planning; fertility preferences; infant, child, adult and maternal mortality; maternal and child health; nutrition; malaria; domestic violence; knowledge of HIV\/AIDS and women's empowerment. The 2009-10 TLDHS for the first time also includes anemia testing among women age 15-49 and children age 6-59 months. As well as providing national estimates, the survey also provides disaggregated data at the level of various domains such as administrative district, as well as for urban and rural areas. This being the third survey of its kind in the country (after the 2002 MICS and the 2003 DHS), there is considerable trend information on demographic and reproductive health indicators.","coll_dates":[{"start":"2009-08","end":"2010-02","cycle":""}],"nation":[{"name":"Timor-Leste","abbreviation":"TLE"}],"geog_coverage":"National","analysis_unit":"- Household\n- Children under five years\n- Women age 15-49\n- Men age 15-49","data_kind":"Sample survey data [ssd]","notes":"The 2009-2010 Timor-Leste Demographic and Health Survey covered the following topics:\n- Alcohol Consumption\n- Anemia Testing\n- Anthropometry\n- Birth Registration\n- Domestic Violence\n- GPS\/Georeferenced\u2013Global Positioning System or Georeferenced Data\n- HIV Behavior\n- HIV Knowledge\u2013Questions assess knowledge\/sources of knowledge\/ways to avoid HIV\n- Malaria Module (bednets)\n- Malaria\/Bednet Questions\n- Male circumcision\n- Maternal Mortality\n- Men's Survey\n- Micronutrients\n- Reproductive Calendar\n- Social Marketing\n- TB Questions\n- Tobacco Use\n- Vitamin A Questions\n- Women's Status\u2013Questions: women's autonomy (household decisionmaking\/free movement\/access money) & Dom. violence","study_scope":"The 2009-2010 Timor-Leste Demographic and Health Survey covered the following topics:\n- Alcohol Consumption\n- Anemia Testing\n- Anthropometry\n- Birth Registration\n- Domestic Violence\n- GPS\/Georeferenced\u2013Global Positioning System or Georeferenced Data\n- HIV Behavior\n- HIV Knowledge\u2013Questions assess knowledge\/sources of knowledge\/ways to avoid HIV\n- Malaria Module (bednets)\n- Malaria\/Bednet Questions\n- Male circumcision\n- Maternal Mortality\n- Men's Survey\n- Micronutrients\n- Reproductive Calendar\n- Social Marketing\n- TB Questions\n- Tobacco Use\n- Vitamin A Questions\n- Women's Status\u2013Questions: women's autonomy (household decisionmaking\/free movement\/access money) & Dom. violence"},"method":{"data_collection":{"sampling_procedure":"The primary focus of the 2009-10 TLDHS was to provide estimates of key population and health indicators, including fertility and mortality rates, for the country as a whole and for urban and rural areas separately. In addition, the sample was designed to provide estimates of most key variables for the 13 districts.\n\nSampling Frame\n\nThe TLDHS used the sampling frame provided by the list of census enumeration areas (EAs) with population and household information from the 2004 Population and Housing Census (PHC). Administratively, Timor-Leste is divided into 13 districts. Stratification is achieved by separating each of the 13 districts into urban and rural areas. In total, 26 sampling strata were created. Samples were selected independently in every stratum, through a two-stage selection process. Implicit stratification was achieved at each of the lower administrative levels by sorting the sampling frame before sample selection, both according to administrative units and also by using a probability proportional-to-size selection at the first stage of sampling. The implicit stratification also allowed for the proportional allocation of sample points at each of the lower administrative levels.\n\nSample Selection\n\nAt the first stage of sampling, 455 enumeration areas (116 urban areas and 339 rural areas) were selected with probability proportional to the EA size, which is the number of households residing in the EA at the time of the census. A complete household listing operation in all of the selected EAs is the usual procedure to provide a sampling frame for the second-stage selection of households. However, a complete household listing was only carried out in select clusters in Dili, Ermera, and Viqueque, where more than 20 percent of the households had been destroyed. In all other clusters, a complete household listing was not possible because the country does not have written boundary maps for clusters. Instead, using the GPS coordinate locations for structures in each selected cluster as provided for by the 2004 PHC, households were randomly selected using their Geographic Information System (GIS) location identification in the central office. A map for each cluster was then generated, marking the households to be surveyed with their location identification. The maps also contained all the other households, roads, rivers, and major landmarks for easier location of selected households in the field. To provide statistically reliable estimates of key demographic and health variables and to cater for nonresponse, 27 households each were selected.\n\nThe survey was designed to cover a nationally representative sample of 12,285 residential households, taking into account nonresponse; to obtain completed interviews of 11,800 women age 15-49 in every selected household; and to obtain completed interviews of 3,800 men age 15-49 in every third selected household.\n\nNote: See detailed description of the sample design in Appendix A of the report presented in this documentation.","coll_mode":"Face-to-face","research_instrument":"Three questionnaires were administered in the TLDHS: the Household Questionnaire, the Woman\u2019s Questionnaire, and the Man\u2019s Questionnaire. These questionnaires were adapted from the standard MEASURE DHS core questionnaires to reflect the population and health issues relevant to Timor-Leste based on a series of meetings with various stakeholders from government ministries and agencies, NGOs, and international donors. The final draft of each questionnaire was discussed at a questionnaire design workshop organized by NSD on March 10, 2009, in Dili. These questionnaires were then translated and back translated from English into the two main local languages-Tetum and Bahasa\u2014and pretested prior to the main fieldwork to ensure that the original meanings of the questions were not lost in translation.\n\nThe Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, education, and relationship to the head of the household. For children under age 18, survival status of the parents was determined. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. The Household Questionnaire also collected information on characteristics of the household\u2019s dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor of the house, ownership of various durable goods, and ownership of mosquito nets. Additionally, the Household Questionnaire was used to record height and weight measurements for women age 15-49 and children under age 5, and to list hemoglobin measurements for women age 15-49 and children age 6-59 months.\n\nThe Woman\u2019s Questionnaire was used to collect information from women age 15-49. These\nwomen were asked questions on the following topics:\n- Background characteristics (education, residential history, media exposure, etc.)\n- Birth history and childhood mortality\n- Knowledge and use of family planning methods\n- Fertility preferences\n- Antenatal, delivery, and postnatal care\n- Breastfeeding and infant feeding practices\n- Vaccinations and childhood illnesses\n- Marriage and sexual activity\n- Woman\u2019s work and husband\u2019s background characteristics\n- Awareness and behavior regarding AIDS and other sexually transmitted infections (STIs)\n- Maternal mortality\n- Domestic violence\n\nThe Man\u2019s Questionnaire was administered to all men age 15-49 living in every third household. The Man\u2019s Questionnaire collected much of the same information found in the Woman\u2019s Questionnaire but was shorter because it did not contain a detailed reproductive history or questions on maternal and child health, nutrition, maternal mortality, or domestic violence.","coll_situation":"PRETEST\n\nFor the pretest, 10 interviewers were recruited to interview in the two local languages. The training for the pretest and fieldwork took place from April 27 to May 23, 2009. Both rural and urban households were selected for the pretest in three districts (Bobonaro, Viqueque, and Dili). Based on the findings of the pretest, the Household, the Woman\u2019s, and the Man\u2019s Questionnaires were further refined in both of the local languages.\n\nTRAINING\n\nThe National Statistics Directorate (NSD), in close coordination with the MOH, recruited and trained 101 persons for the fieldwork to serve as supervisors, field editors, male and female interviewers, quality control staff, and reserves. They participated in the main training held in Dili from July 13 \u2013 August 8, 2009. Staff from MOH, NSD, and ICF Macro led the four-week training course, which was conducted mainly in Tetum and included lectures, presentations, practical demonstrations, and practice interviewing in small groups as well as several days of field practice. The participants also received anthropometric training and training in hemoglobin testing.\n\nAfter the training on how to complete the Household, Woman\u2019s, and Man\u2019s Questionnaires was completed, all trainees were given written and oral tests to gauge their understanding of the TLDHS questionnaires and interviewing techniques. On the basis of their scores on the exam and overall performance in the classroom and during field practice, 88 trainees were selected to participate in the main fieldwork. From the group, 10 of the best trainees were selected as quality control staff, 13 of the best male trainees were selected as supervisors, and 13 of the best female interviewers were identified as field editors. The remaining 52 trainees were selected to be interviewers. All selected field staff were trained in anthropometric measurement taking.\n\nAfter completing the interviewers\u2019 training, the field editors and supervisors were trained for an additional three days on how to supervise the fieldwork and edit questionnaires in the field, in order to ensure data quality. The participants also received training on hemoglobin testing.\n\nFIELDWORK\n\nData collection began on August 10, 2009, by 13 teams consisting of three female interviewers, one male interviewer, a male supervisor, and a female field editor. Fieldwork was completed on February 7, 2010. Fieldwork supervision was coordinated at NSD; 6 quality control teams made up of one male and one female member each, monitored data quality. Additionally, close contact between NSD and the teams was maintained through field visits by senior staff, members of the steering committee, and ICF Macro staff. Regular communication was also maintained through cell phones.","method_notes":"The processing of the TLDHS results began soon after the start of fieldwork. Completed questionnaires were returned periodically from the field to the NSD data processing center in Dili, where they were entered and edited by 13 data processing personnel who were specially trained for this task. The data processing personnel included a supervisor, a questionnaire administrator, 2 office editors, and 13 data entry operators. The concurrent processing of the data was an advantage because field check tables could be generated to monitor various data quality parameters while the teams were still in the field. As a result, specific feedback was given to the teams to improve performance. The data entry and editing phase of the survey was completed by the end of February 2010."},"analysis_info":{"response_rate":"A total of 12,128 households were selected for the sample, of which 11,671 were found to be occupied during data collection. Of these existing households, 11,463 were successfully interviewed, giving a household response rate of 98 percent.\n\nIn these households, 13,796 women were identified as eligible for the individual interview. Interviews were completed with 13,137 women, yielding a response rate of 95 percent. Of the 4,421 eligible men identified in the selected sub-sample of households, 4,076 or 92 percent were successfully interviewed. Response rates were higher in rural than urban areas, with the rural-urban difference in response rates more marked among eligible men than among eligible women.","sampling_error_estimates":"The estimates from a sample survey are affected by two types of errors: non-sampling errors and 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 during the implementation of the Timor-Leste Demographic and Health Survey 2009-10 (TLDHS 2009-10) 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 TLDHS 2009-10 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.\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 TLDHS 2009-10 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 TLDHS 2009-10 is a Macro SAS procedure. This procedure used the Taylor linearization method of variance estimation 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\nNote: See detailed estimate of sampling error calculation in APPENDIX B of the report which is presented in this documentation.","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- Nutritional status of children\n- Completeness of information on siblings\n- Indicators on data quality\n- Sibship size and sex ratio of siblings\n\nNote: See these tables in APPENDIX C of the report which is presented in this documentation."}},"data_access":{"dataset_use":{"contact":[{"name":"MEASURE DHS","affiliation":"","email":"archive@measuredhs.com","uri":"www.measuredhs.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\n\nNational Statistics Directorate (NSD) [Timor-Leste], Ministry of Finance [Timor-Leste], and ICF Macro. Timor-Leste Demographic and Health Survey 2009-10. Ref. TLS_2009_DHS_v01_M. Survey dataset downloaded from www.measuredhs.com on [date]","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."}}},"data_files":[{"file_id":"F1","file_name":"RECH0","description":"HOUSEHOLD \n- Household's basic data","case_count":"12128","var_count":"40","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"RECH1","description":"HOUSEHOLD \n- Household Schedule","case_count":"67834","var_count":"41","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"RECH2","description":"HOUSEHOLD \n- Household 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