{"doc_desc":{"title":"SDN_HHHS_2006_V1","idno":"SDN_HHHS_2006_V1","producers":[{"name":"Economic Research Forum","abbreviation":"ERF","affiliation":"","role":"Harmonizing raw data received from the Statistical Office"}],"prod_date":"2016-08","version_statement":{"version":"Version 1"}},"study_desc":{"title_statement":{"idno":"SDN_HHHS_2006_V1","title":"Harmonized Household Health Survey, HHHS 2006","alt_title":"HHHS 2006"},"authoring_entity":[{"name":"Economic Research Forum","affiliation":""},{"name":"Central Bureau of Statistics","affiliation":"The Government of National Unity"},{"name":"The Southern Sudan Commission for Census, Statistics and Evaluation","affiliation":"The Government of Southern Sudan "}],"production_statement":{"producers":[{"name":"Federal Ministry of Health","affiliation":"The Government of National Unity","role":""},{"name":"Ministry of Health","affiliation":"The Government of Southern Sudan ","role":""},{"name":"Ministry of International Cooperation","affiliation":"","role":""},{"name":"Ministry of Education","affiliation":"","role":""},{"name":"Ministry of Social welfare and women and child affairs","affiliation":"","role":""},{"name":"National  Population Council","affiliation":"","role":""},{"name":"National Council for Child Welfare","affiliation":"","role":""},{"name":"National Water Corporation Financial","affiliation":"","role":""}],"copyright":"(c) 2016, Economic Research Forum | (c) 2006, Central Bureau of Statistics, The Government of National Unity | (c) 2006, Southern Sudan Commission for Census, Statistics and Evaluation, The Government of Southern Sudan","funding_agencies":[{"name":"United Nations Children\u2019s Fund","abbreviation":"UNICEF","role":"Financial  and technical support"},{"name":"Pan Arab Project for Family Health","abbreviation":"PAPFAM","role":"Financial  and technical support"},{"name":"World Food Programme","abbreviation":"WFP","role":"Financial  and technical support"},{"name":"World Health Organization","abbreviation":"WHO","role":"Financial  and technical support"},{"name":"United States  Agency for International Development","abbreviation":"USAID","role":"Financial  and technical support"},{"name":"League of Arab States","abbreviation":"ALS","role":"Financial  and technical support"}]},"distribution_statement":{"contact":[{"name":"Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt","affiliation":"","email":"erfdataportal@erf.org.eg","uri":"www.erf.org.eg"}]},"series_statement":{"series_name":"Other Household Health Survey [hh\/hea]","series_info":"The Sudan Household Health Survey (SHHS) was carried out by the Federal Ministry of Health (FMoH) and the Central Bureau of Statistics (CBS) representing the Government of National Unity (GoNU), and the Ministry of Health (MoH) together with the Southern Sudan Commission for Census, Statistics and Evaluation (SSCCSE), both representing the Government of Southern Sudan (GoSS). The survey was carried out in collaboration with several ministries and institutions such as the Ministry of International Cooperation, Ministry of Education, and Ministry of Social welfare and women and child affairs, National Population Council, National Council for Child Welfare (NCCW) and National Water Corporation. Financial and technical support was provided by the United Nations Children\u2019s Fund (UNICEF), AGFUND and OPEC Fund through the Pan Arab Project for Family Health (PAPFAM), the World Food Programme (WFP), the United Nations Population Fund (UNFPA), the World Health Organization (WHO), the United States Agency for International Development (USAID) and the League of Arab States (ALS).\nSo instead of having multiple surveys supported by single agency, the SHHS compiled the efforts of all agencies to conduct a unified survey that has met the interests of all stakeholders as its contents is a hybrid of family health survey of the Arab League, MICS, Food Security and Nutrition surveys. The planning and the implementation structures of SHHS i.e. Steering Committee, Technical Committee, Coordination Body and the Technical Working Group represented a wide group of ministries, institutions, agencies concerned to guarantee the best possible participatory process to guide the survey and ensure the quality of work.\n\nThe SHHS provides valuable information on the situation of household, children and women in Sudan. The survey was initiated, in large part, on the need to have a base line national data to monitor progress towards goals and targets emanating from national plans and international agreements: the MDGs, and the Plan of Action of A World Fit For Children (WFFC), the Arab World Fit for Children; the Arab charter for child rights; and the rest of the agreements committed by the country.\nData constraints in Sudan are severe, both in terms of quality and comprehensiveness. The SHHS is the first nationally representative survey in two decades covering key social development indicators. It is one of the first projects jointly implemented by the GoNU and GoSS following the CPA. The national and state-level data generated by the SHHS will help in assessing the current status of progress towards some of the key MDG goals and targets, assisting in monitoring of MDG commitments and in informed decision making, sound policy formulation and development planning required to accelerate progress towards the MDGs. They will also provide the key information required by the GoNU and GoSS for the preparation of the 2007 WFFC progress report and the 2007 MDG report."},"version_statement":{"version":"V1: An inter-year harmonized version of the survey dataset, with SHHS 2010, produced by the Economic Research Forum for dissemination.","version_date":"2016-08","version_notes":"The raw data of the SHHS provides valuable information on the situation of household, children and women especially on health in Sudan. \n\nThe raw data of SHHS 2006 was harmonized with that of SHHS 2010, by the Economic Research Forum, to ensure surveys' consistency, and aiming at creating a database of comparable health measurements on the country level for two different years 2006 & 2010. \n\nAll documentation available for the original survey provided by the Statistical Office, and for the harmonized datasets produced by the Economic Research Forum, are published."},"study_info":{"topics":[{"topic":"Demographics","vocab":"ERF","uri":""},{"topic":"Education","vocab":"ERF","uri":""},{"topic":"Labor Force","vocab":"ERF","uri":""},{"topic":"Marriage and Union","vocab":"ERF","uri":""},{"topic":"Reproduction and Child Survival","vocab":"ERF","uri":""},{"topic":"Maternal and Newborn Health","vocab":"ERF","uri":""},{"topic":"Contraception","vocab":"ERF","uri":""},{"topic":"Female Genital Mutilation\/Cutting","vocab":"ERF","uri":""},{"topic":"HIV\/ AIDS","vocab":"ERF","uri":""},{"topic":"Birth Registration","vocab":"ERF","uri":""},{"topic":"Early Childhood Development","vocab":"ERF","uri":""},{"topic":"Care of illness","vocab":"ERF","uri":""},{"topic":"Malaria","vocab":"ERF","uri":""},{"topic":"Breastfeeding","vocab":"ERF","uri":""},{"topic":"Immunization","vocab":"ERF","uri":""},{"topic":"Anthropometry","vocab":"ERF","uri":""}],"abstract":"The Sudan Household Health Survey (SHHS), conducted in 2006, is the first household survey covering Northern and Southern Sudan in two decades.\n\nThe primary objectives of the 2006 Sudan Household Health Survey were:\n- To provide up-to-date information for assessing the situation of children and women in Sudan.\n- To furnish data needed for monitoring progress toward goals established by the Millennium Development Goals: the goals of \u201cA World Fit For Children\u201d, \u201cProgramme of Action\u201d adopted at the \u201cInternational Conference on Population and Development (ICPD)\u201d, and other internationally agreed upon goals, as a basis for action.\n- To contribute to the improvement of data and monitoring systems in Sudan and to strengthen technical expertise in the design, implementation, and analysis of such systems.\n-  To strengthen and build the institutional capacity of government partners for the upcoming 2008 Census and large scale surveys.\n\nThe raw survey data provided by the Statistical Office were then harmonized by the Economic Research Forum, to create a comparable version with the 2010 Household Health Survey in Sudan. \nHarmonization at this stage only included unifying variables' names, labels and some definitions. \nSee: Sudan 2006 & 2010- Variables Mapping & Availability Matrix.pdf provided in the external resources for further information on the mapping of the original variables on the harmonized ones, in addition to more indications on the variables' availability in both survey years and relevant comments.","coll_dates":[{"start":"2006-03-01","end":"2006-06-01","cycle":"-"}],"nation":[{"name":"Sudan","abbreviation":"SDN"}],"geog_coverage":"Covering a representative sample on both the national and regional levels.\n\nThe sample for the Sudan Household Health Survey (SHHS) was designed to provide estimates of some key indicators on the situation of children and women at the national level and for the 25 states (Northern , River Nile, Red Sea, Kassala, Gedarif, Khartoum, Gezira, Sinnar, Blue Nile, White Nile, North Kordofan, South Kordofan, North Darfur, West Darfur, South Darfur, Jonglei, Upper Nile, Unity, Warap, Northern Bahr El Ghazal (NBG), Western Bahr El Ghazal (WBG), Lakes, Western Equatoria, Central Equatoria and East Equatoria) of Sudan.","analysis_unit":"1- Household\/family.\n2- Individual\/person.\n3- Woman.\n4- Child.","universe":"The target universe for the SHHS includes the households and members of individual households, including nomadic households camping at a location\/place at the time of the survey. \nThe population living in institutions and group quarters such as hospitals, military bases and prisons, were excluded from the sampling frame.","data_kind":"Sample survey data [ssd]","notes":"Household: Includes geographical characteristics, household composition, household income and resources, dwelling characteristics, ownership of durables, insecticide treated nets and salt iodization.\n\nIndividual: Includes geographical characteristics, demographics, current labor status, education, and female genital mutilation\/cutting.\n\nWoman: Includes geographical characteristics, demographics, education, marriage and union, reproduction and child survival, maternal and newborn health, contraception, unmet need, female genital mutilation\/cutting and HIV\/ AIDS.\n\nChild: Includes geographical characteristics, demographics, birth registration, vitamin A, early childhood development, care of illness, malaria, breastfeeding, immunization and anthropometry."},"method":{"data_collection":{"data_collectors":[{"name":"Central Bureau of Statistics","abbreviation":"CBS","affiliation":"The Government of National Unity"},{"name":"The Southern Sudan Commission for Census, Statistics and Evaluation","abbreviation":"SSCCSE","affiliation":"The Government of Southern Sudan "}],"sampling_procedure":"---> Sample Design:\n\nThe sample for the Sudan Household Health Survey (SHHS) was designed to provide estimates on some key indicators on the situation of children and women at the national level and for 25 states.\nThe states constituted the main sampling domains and in each state a two stage cluster sampling design was employed to draw the sample for the SHHS. The villages or quarters (in the case of urban areas) constituted the Primary Sampling Units (PSUs) for the SHHS. The PSU represented the smallest area or administrative unit which could be identified in the field with commonly recognized boundaries. The sampling frame for 12 states (Northern, River Nile, Red Sea, Kassala, Gedarif, Khartoum, Gezira, Sinnar, Blue Nile, White Nile, North Kordofan and South Kordofan) was compiled using the list of villages and quarters and estimated population updated by the Central Bureau of Statistics on the basis of the updated frame from the pre-census field operations for the year 2005. In the case of these 12 states the clusters were distributed to urban and rural areas, proportional to the size of urban and rural populations in these states. The urban and rural clusters in each of these states were selected randomly with probability of selection proportional to size. The sampling frames for three states of North Darfur, West Darfur and South Darfur and for all the ten states in Southern Sudan were compiled using the list of villages and estimated population developed by the Expanded Programme of Immunization (EPI) for the National Immunization Days (NIDs) campaign. In the case of these states, stratification on the urban and rural level was not done and the clusters were selected with probability proportional to size.\n\n---> Sample size and Sample selection procedures:\n\nThe sample size for the survey was determined by the accuracy and degree of precision required for the survey estimates for each state. It was judged that a minimum sample of 900 households would be necessary to make estimates\/results with some degree of precision at the state level. Allowing for some non-response in the survey, it was decided to take a sample of 1,000 households in each state. Since a similar level of precision was required for the survey results from each state, it was decided to draw 40 clusters from each state and 25 households from each cluster. The sampling frame of villages\/quarters was compiled separately for each state based on the best available population measures. In cases where a selected village\/quarter could not be reached because of security or access problems, it was replaced by a neighbouring village\/quarter in the sampling frame. All selected clusters (villages\/quarters) in each state were fully covered with the exception of only 12 clusters in two states in Southern Sudan (seven clusters in Upper Nile and five in Western Bahr El Gazal states) and two clusters in South Kordofan that had to be substituted due to insecurity influencing accessibility during the fieldwork period. After a household listing was carried out within the selected clusters, a sample of 25 households was drawn from each selected cluster using the method of systematic random sampling.","coll_mode":"Face-to-face [f2f]","research_instrument":"Five sets of questionnaires were used in the Sudan Household Health Survey. The first three questionnaires are based on the MICS3 and PAPFAM model questionnaires, and were subject to harmonization.\n\n1) Household questionnaire which was used to collect information on all de jure household members and the household. It included the following modules:\n   - Household information panel\n   - Household listing\n   - Education\n   - Female Genital Mutilation\/Cutting (FGM\/C) (used in 15 states, excluding all ten states in Southern Sudan)\n   - Prevalence of chronic diseases (used in 15 states, excluding all ten states in Southern Sudan)\n   - Water and sanitation\n   - Household characteristics\n   - Household income and resources\n   - Insecticide treated nets\n   - Salt iodization\n   - Maternal mortality (during the listing phase using a separate form for data collection)\n\n2) Women's questionnaire administered to all women aged 15-49 years in each household. It included the following modules:\n   - Women's information panel\n   - Live birth history\/Child mortality\n   - Tetanus toxoid\n   - Maternal and newborn health\n   - Marriage and union\n   - Contraception\n   - Female Genital Mutilation\/Cutting (FGM\/C) (used in 15 states, excluding those in Southern Sudan)\n   - HIV\/AIDS knowledge\n\n3) Under-five questionnaire administered to mothers. In cases the mother is not listed in the household list\/roster, a primary caretaker for the child was identified and interviewed. The Questionnaire for Children under Five included the following modules:\n    - Under-five children information panel\n    - Birth registration\n    - Vitamin A supplementation\n    - Breastfeeding\n    - Care of illness\n    - Immunization\n    - Malaria \n    - Anthropometry\n\n4) Community Questionnaire. It included the following modules:\n    - Demographics (Socio-economic classification)\n    - Access to services\n    - Seasonal calendar\n    - Food aid and priorities\n\n5) Food Security Questionnaire. It included the following modules:\n    - Household circumstances\n    - Household belongings and livestock\n    - Livelihoods and agricultural production\n    - Household expenditures\n    - Food consumption and sources\n    - Shocks and coping mechanisms\n    - Food aid\n    \nIn addition to the administration of questionnaires, fieldwork teams tested the salt used for cooking in the households for iodine content, and measured the weights and heights of children under five years of age.","coll_situation":"The questionnaires were pre-tested in November 2005 and modifications were made to the wording and translation of the questionnaires based on the results of the pre-test. The modified questionnaires were printed in January 2006.\nLocations for pilot survey and pretesting of questionnaires in northern states included the following:\nAlthawra (alhara 7): Selected because it comprises of various ethnic groups with different socioeconomic levels representing the majority of the population in the states in the northern, eastern and central parts of Sudan.\nUmbadda Hamad Elneel (Almansoora): Represents the majority of the population from the western parts of Sudan, including the internally displaced population (IDP). \nAlsaroarab: Represents the rural population in northern states.\nLocations for pilot survey and pre-testing of questionnaires in states in Southern Sudan were as follow:\nRumbek (Rumbek County and Rumbek East): Selected because of its accessibility and supervision given the fact that most of the SHHS activities were taking place at the SSCCSE office in Rumbek.\nBaar Pakieng: Represents the population in the remote areas of Southern Sudan.\nTraining for the fieldwork was conducted for all the states involved in the SHHS during the month of February and March 2006, duration varying between 7-10 days. The training was conducted at three levels -- national, sub-national and state levels. To ensure consistency, the sub-national training sessions for all trainees in all states were conducted by the same trainers. The training included lectures and discussions relating to interviewing techniques and the contents of the questionnaires, supervision and monitoring of quality of data. Towards the end of the training period, trainees spent three days in the field to practice interviewing in selected states.\nField work began in March 2006 in 14 states, in April 2006 in one state, and from May to June 2006 in the remaining ten states. The average period taken to complete the field work in 25 states of Sudan was 31 days with a minimum duration of 25 days and a maximum duration of 43 days, mainly in those areas severely affected by conflict.","act_min":"The data were collected by 112 teams in the 25 states of Sudan. This comprised of 4-6 teams for each of the ten states in Southern Sudan, and four teams per state for the remaining 15 states keeping in view the geographical accessibility and division. More than one third of the teams comprised of four interviewers, one driver, one editor\/measurer and a supervisor while another one-third (for the states in Southern Sudan) did not have drivers due to lack of vehicles in these areas and fear of landmines in using vehicles. In all, the data collection involved 850 interviewers, and 110 team leaders and supervisors, and 40 national supervisors and leaders.","weight":"---> Sample weights and weighting procedures:\n\nAlthough each state sample can be considered as self-weighting, the total sample for Sudan was not self-weighting since a fixed sample of households was drawn from each state, irrespective of its population size. Essentially, by allocating equal numbers of households to each of the states, different sampling fractions were used in each state since the population size of the states varied.\nTherefore, to derive estimates for Sudan as a whole it was necessary to assign a weight to each state-level sample. For reporting national level results, appropriate weights were applied to the sample data based on the probabilities of selection. Measures of sampling variability for key survey estimates were also calculated. Sample weights were calculated for each state-level sample and these were used in the analyses of the survey data.","cleaning_operations":"---> Raw Data:\n\nData entry and editing began simultaneously with data collection. Data entry took place in two locations \u2013 in Khartoum from March to May 2006, and in Rumbek from June to August 2006. Using CSPro software, the Khartoum team comprising 40 data entry operators, 6 data entry supervisors, 10 data editors and 6 programmers entered the data for the 15 northern states into 40 microcomputers. The Rumbek team comprising 26 data entry operators in two shifts (morning and afternoon shifts), 4 data entry supervisors, 7 data editors and 2 programmers entered the data for the ten southern states into 13 microcomputers. In order to ensure quality control, all questionnaires were double entered for the first six states that were completed (100 percent double entry). This was followed by double entry of questionnaires from five clusters randomly selected from the remaining 19 states. Internal consistency checks were also performed. Procedures and standard programs developed under the global MICS3 project and PAPFAM and adapted to the Sudan questionnaire were used throughout. Data were analysed using the Statistical Package for Social Sciences (SPSS) software programme (Version 14), and the model syntax and tabulation plans developed by UNICEF, WHO, WFP, and Pan-Arab Project for Family Health (PAPFAM).\n\n---> Harmonized Data:\n\n- The SPSS package is used to harmonize the SHHS 2006 with SHHS 2010.\n- The harmonization process starts with raw data files received from the Statistical Office.\n- A program is generated for each dataset to create harmonized variables.\n- Data is saved on the household, individual, women, as well as the children level, in SPSS and then converted to STATA, to be disseminated."},"analysis_info":{"response_rate":"Of the 24,527 households selected for the sample, 24,507 households were found to be occupied. Of these, 24,046 households were successfully interviewed for a household response rate of 98.1 percent. Of the 32,599 women (age 15-49 years) identified in the selected households, 26,923 were successfully interviewed, yielding a response rate of 82.6 percent. Of the 22,512 children under age five listed in the households, questionnaires were completed for 19,870 children, which correspond to a response rate of 88.3 percent. Overall response rates of 81 percent and 86.6 percent were calculated for the women\u2019s and under-5 children\u2019s interviews respectively."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement.\nThe data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Economic Research Forum","affiliation":"Economic Research Forum (ERF)","email":"erfdataportal@erf.org.eg","uri":"www.erf.org.eg"}],"cit_req":"The users should cite the Economic Research Forum, the Central Bureau of Statistics, and the Southern Sudan Commission for Census, Statistics and Evaluation as follows:\n\nOAMDI, 2016. Harmonized Household Health Surveys (HHHS), http:\/\/erf.org.eg\/data-portal\/. Version 1.0 of Licensed Data Files; SHHS 2006 - Central Bureau of Statistics (CBS) and Southern Sudan Commission for Census, Statistics and Evaluation (SSCCSE) . Egypt: Economic Research Forum (ERF).","conditions":"Licensed datasets, accessible under conditions.","disclaimer":"The Economic Research Forum, the Central Bureau of Statistics representing the Government of National Unity, and the Southern Sudan Commission for Census, Statistics and Evaluation representing the Government of Southern Sudan have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data."}}},"schematype":"survey"}