{"type":"survey","doc_desc":{"title":"NPL_1997_NMIS_v01_M","idno":"DDI_NPL_1997_NMIS_v01_M","producers":[{"name":"Publication Distribution and Library Section","abbreviation":"PDLS","affiliation":"Central Bureau of Statistics","role":"Documentation"},{"name":"Accelerated Data Pogram","abbreviation":"ADP","affiliation":"International Household Survey Network","role":"Editing for IHSN Survey Catalog"}],"prod_date":"2012-03-12","version_statement":{"version":"Version 1.0 - Central Bureau of Statistics - Original documentation of the study.\nVersion 2.0 - Edited version by ADP based on Version 1.0 of CBS downloaded from http:\/\/cbs.gov.np\/nada\/index.php\/catalog on 11 March 2013."}},"study_desc":{"title_statement":{"idno":"NPL_1997_NMIS_v01_M","title":"Multiple Indicator Surveillance 1997","sub_title":"Fifth Cycle","alt_title":"NMIS 1997"},"authoring_entity":[{"name":"National Planning Commission","affiliation":"His Majesty's Government"}],"oth_id":[{"name":"Dr. Ann Cockroft, Consultant","affiliation":"CIET International","email":"","role":"Instrument design"},{"name":"Mrs. Savitri Singh, Project Director","affiliation":"Central Bureau of Statistics","email":"","role":""},{"name":"Mr. Krishna Prasad Shrestha, Project Coordinator","affiliation":"Central Bureau of Statistics","email":"","role":""},{"name":"Mr. Stewart McNab, Representative","affiliation":"UNICEF Nepal","email":"","role":"Facilitation"},{"name":"Mr. Fikre Y. Menkir, Planning Officer","affiliation":"UNICEF Nepal","email":"","role":"Facilitation"},{"name":"NMIS Steering Committee","affiliation":"","email":"","role":""},{"name":"NMIS Technical Committee","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"United Nations Children's Fund Nepal","affiliation":"","role":"Technical assistance"},{"name":"Central Bureau of Statistics","affiliation":"Naitional Planning Commission Secretariat","role":"Field work, analysis of findings"}],"funding_agencies":[{"name":"His Majesty's Government","abbreviation":"HMG\/Nepal","role":"Funding"},{"name":"United Nations Children's Fund Nepal","abbreviation":"UNICEF Nepal","role":"Financial support"}],"grant_no":"Regular budget"},"distribution_statement":{"contact":[{"name":"National Data Archive, Publication, Distribution and Library Section","affiliation":"Central Bureau of Statistics","email":"archive@cbs.gov.np","uri":"http:\/\/cbs.gov.np\/?page_id=17"},{"name":"The World Bank Microdata Library","affiliation":"","email":"","uri":"http:\/\/microdata.worldbank.org"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The Nepal Multiple Indicator Surveillance (NMIS) began in 1994, with a first cycle in early 1995 on Health and Nutrition1 that covered a number of indicators necessary to assess progress toward development goals. The NMIS was designed as an-ongoing monitoring scheme rather than a one-off survey.  \n\nIn 1989 the United Nations adopted the Convention on the Rights of the Child and it came into force in 1990. Nepal, as a signatory to this convention, is required to submit periodic reports on its implementation2. Nepal is also a signatory to the Convention to End Discrimination against Women (CEDAW). Among other things, the NMIS serves as an important means of monitoring violations of the rights of children and women in Nepal.  It has also assisted HMG Nepal to monitor progress against the 1990s Goals and Mid-decade Goals agreed at the World Summit for Children (WSC) as embodied in its National Plan of Action (NPA) for Children and Development for the 1990s4.  These two purposes of the NMIS scheme are closely linked: the failure to meet children's needs as specified in the WSC and the Nepal NPA is, in fact, a violation of their rights5.  The achievement of WSC goals is a necessary but not sufficient condition for the realisation of corresponding rights6.  International research is on-going on defining the best indicators for children's rights.  But some are clearly already included in the NPA goals.  \n\nThe NMIS process comprises repeated cycles of data collection, analysis, interpretation, and communication of results to stimulate action. Each cycle focuses on a set of priority issues for the health, well-being and rights of children also for the whole population of Nepal.  A steering group from the National Planning Commission, Central Bureau of Statistics and relevant line ministries agrees the focus of each cycle.  The Steering Group nominates a technical group to develop and agree the cycle plan and instruments of data collection for each cycle as well as to play a key role in interpreting NMIS results and ensuring their use. \n\nThe four cycles of NMIS that have taken place so far are: \nCycle 1 on Health and Nutrition in early 1995;\nCycle 2 on Primary Education  in spring\/summer 1995; \nCycle 3 on Diarrhoea, Water and Sanitation in the first half of 1996; and \nCycle 4 on early childhood feeding, nutrition and development1 in the autumn of 1996.  \n\nThis fifth cycle of the NMIS focuses particularly on women's access to and experience of antenatal and delivery care. This is timely in view of the recent publication of the National Maternity Care Guidelines for Nepal. It is intended to provide information on the current situation in relation to the targets set in the guidelines and some insights about what might help to improve matters, for use by service planners and providers at national and local levels."},"version_statement":{"version":"Version 1.3: Cleaned, edited, not anonymized, final data set","version_date":"1998-06"},"study_info":{"abstract":"This fifth cycle of the NMIS focuses on care for women during pregnancy and delivery and the relationship between this and the outcome of pregnancy, in terms of estimates of low birth weight and survival of the baby. It is timely in view of the recent publication of the National Maternity Care Guidelines for Nepal.  It is intended to provide information on the current situation in relation to the targets set in the guidelines and some insights about what might help to improve matters, for use by service planners and providers at national and local levels.  No attempt was made to estimate maternal mortality.  Estimates of maternal mortality in Nepal are available from other sources.\n\nThe NMIS employs Sentinel Community Surveillance (SCS).  Features of this method include: the focus of each cycle on a small group of issues; the combination of quantitative and qualitative data from the same communities in a meso-analysis; data analysis and risk analysis to produce results in a form useful for planning; revisiting of the same sites, making estimation of impact of interventions easier.","coll_dates":[{"start":"1997-03","end":"1997-04","cycle":"Fifth"}],"nation":[{"name":"Nepal","abbreviation":"NPL"}],"geog_coverage":"National Urban\/ Rural areas Development regions Ecological Zones Eco-Development Regions","analysis_unit":"Household and ever married woman aged 15-49 years","universe":"Households and ever married women aged 15-49 years","data_kind":"Sample survey data [ssd]","notes":"This fifth cycle of the NMIS focuses on care for women during pregnancy and delivery and the between this and the outcome of pregnancy, in terms estimates of low birth weight and survival of the baby.\n\nNMIS Cycle 5 covers the following fields of study:\nEVER-MARRIED WOMEN AGED 15-49 IN HOUSEHOLDS: Age, literacy, timing of last pregnancy, antenatal care, other practices during pregnancy (such as smoking), place of delivery and attendance at delivery, size of the baby and survival of the baby.\nGOVERNMENT HEALTH FACILITY: Health facility review.\nCOMMUNITIY LEADER AND TBA: Pregnancy Care, Childbirth Care, Antenatal Care\nMEMBERS OF FOCUS GROUP DISCUSSION: Care during pregnancy and child birth","study_scope":"This fifth cycle of the NMIS focuses on care for women during pregnancy and delivery and the between this and the outcome of pregnancy, in terms estimates of low birth weight and survival of the baby.\n\nNMIS Cycle 5 covers the following fields of study:\nEVER-MARRIED WOMEN AGED 15-49 IN HOUSEHOLDS: Age, literacy, timing of last pregnancy, antenatal care, other practices during pregnancy (such as smoking), place of delivery and attendance at delivery, size of the baby and survival of the baby.\nGOVERNMENT HEALTH FACILITY: Health facility review.\nCOMMUNITIY LEADER AND TBA: Pregnancy Care, Childbirth Care, Antenatal Care\nMEMBERS OF FOCUS GROUP DISCUSSION: Care during pregnancy and child birth"},"method":{"data_collection":{"data_collectors":[{"name":"Central Bureau of Statistics","abbreviation":"CBS","affiliation":"National Planning Commission Secretariat"}],"sampling_procedure":"The NMIS uses a methodology known as Sentinel Community Surveillance (SCS).  It has the underlying aim of 'building the community voice into planning'.  SCS can be described as a multi-sectoral community-based information management system. There are a number of particular features of the SCS methodology:\n \n- Data are collected from cluster sites, selected to be representative of a district, a region or a country.  \n- Typically, cluster sites are communities of around 120 households, and all households in the site are included in data collection.\n- SCS is a repeated cyclical process, with each cycle including planning and instrument design, data collection, data analysis and interpretation, and communication of results.\n- Each cycle focuses on a particular area or problem, rather than trying to collect data on a wide range of problems.\n- Quantitative data from household questionnaires are combined with qualitative data from focus groups, key informant interviews and institutional reviews from the same communities (that is, the data are coterminous) to allow a better understanding of the quantitative data. This combined analysis is called mesoanalysis11.\n- Data analysis is not only in terms of indicators (for example, rate of childhood diarrhoea) but also in terms of risk (for example the risk of diarrhoea in a child with access to safe water compared with a child who does not have access to safe water).\n- Data analysis, and especially risk analysis, is intended to produce results in a form that can be useful for planning at household, community, district and national levels.\n- The same sites are revisited in subsequent cycles of data collection, allowing easy estimation of changes over time or as a result of intervention.\n- Each cycle of data collection and analysis requires a communication strategy to get the information to those who need it for planning.\n \nTransfer of skills of data collection, analysis and communication over a number of cycles is an explicit aim of the methodology.\n \nA key feature of SCS is the ability to do risk analysis to look at causes.  In NMIS cycle five focuses on care for women during pregnancy and delivery and the relationship between this and the outcome of pregnancy, in terms of estimates of low birth weight and survival of the baby SCS is deliberately designed to concentrate data collection efforts: in time (a series of cycles in the sentinel sites, at approximately 6 monthly intervals); in space (representative communities are surveyed rather than collecting data from all communities); and in subject matter (each cycle focuses on one area at a time, rather than trying to collect all possible data on every occasion).  SCS employs a type of cluster survey methodology, but the clusters are larger than in many cluster surveys: typically 100-120 households per site, rather than the 10-50 used in most cluster surveys. \n And in the SCS method, there is no sampling within each site; every household is included.  This gives greater statistical power in the data analysis and also allows the linkage of data from the household questionnaires to other, mainly qualitative, data from the same sites. This data relating to the whole site is combined with the household data in a mesoanalysis11.  \n \nA key issue in the SCS methodology and in the NMIS is the selection of sites so as to be representative. In some countries, random sampling is not a possibility because no adequate sampling frame exists. In these situations, purposive selection is used, drawing on local knowledge of conditions to choose sites as representative as possible of the situation in a district, region or country. When possible, random sampling methods are used and this is the case in Nepal, where a reasonably good census sampling frame exists. In both cases, stratification is first used to ensure that certain types of sites are included in proportion to their occurrence in the population. For example, stratification can be by urban and rural sites, or by ecological zones. In the NMIS, the sample sites for the NMIS were drawn by the Central Bureau of Statistics (CBS), after stratification into development regions, ecological zones and urban\/rural sites. The details of the sampling method and the selected sites are given in the report of the first NMIS cycle and the annexes to that report.  \n\nThe sites in NMIS cycle 5 are selected by a multistage random sampling method. The sites are representative of the country, of the five development regions, of the three ecological zones, of the 15 eco-development regions, and of urban and rural situations. The rural sites were selected primarily to give representation of the 15 eco-development regions but in 18 districts there are sufficient sites (four or more) to ensure reasonable district representativeness. In a further 19 districts, only 1-2 sites were selected so they cannot be relied upon to be representative of that district. Note that representation of the 15 eco-development regions is among the rural sites only; the urban sites are stratified separately and are not intended to be part of the representation of the different eco-development regions. This reflects the high proportion of the population living in rural communities (around 90%) and the difficulty of having a large enough urban samples to stratify separately among the 15 eco-development regions.\n\nThere are a total of 144 sites in the sample: 126 rural and 18 urban. A total of 18,996 households and 106,160 household members were interviewed in the survey.","coll_mode":"Face-to-face [f2f]","research_instrument":"The following instruments were used for data collection for NMIS Five cycle surveillance:\n\n1. Household questionnaire\n2. Focus group discussion guide for cycle\n3. Check list for review of health facilities \n4. Questionnaire for interview of Traditional Birth Attendant\n5. Check list of interviewing community leaders\n6. Focus group guide for feedback of cycle 4 key findings\n\nThe questionnaire and guides for interview were published in Nepali language. An English version has been provided in the Report on Care during Pregnancy and Delivery: Implications for Protecting the Health of Mothers and their Babies, Fifth Cycle (JUNE 1998).","coll_situation":"CIETinternational facilitated a two-week workshop on the methodology used in the NMIS and the findings of the third cycle in Kathmandu in May 1996 for staff of the Central Bureau of Statistics (CBS). This was intended to build capacities for their increasing practical involvement in the NMIS process. The CBS has taken on the task of data collection and data entry for the NMIS as from cycle 5. A two-week workshop on analysis of the findings of NMIS cycle 5 was facilitated by CIETinternational in Kathmandu in September 1997. This was attended by staff in the CBS as well as several other Nepali statisticians and demographers.\n\nField staffs were recruited in March 1997. They were recruited from and trained in five regional centres: Kathmandu, Janakpur, Nepalgunj, Pokhara and Sunsari. Twenty-six teams, each containing four or five members, were recruited. The 30 field supervisors were trained in Kathmandu. \n\nThe field survey was carried out between March and April 1997.\n\nWhen communities were visited, the opportunity was taken to give them a summary of the results of cycle 4 and conduct focus groups to discuss the implications of the key findings and the ways in which important messages might best be disseminated.\n\nThe Social Section of the CBS provided overall fieldwork coordination and supervision.","act_min":"The role of the supervisor was to coordinate 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 field supervisor assigned the work to the interviewers, spot checked work, and sent completed questionnaires and progress reports to central office.\n\nField visits were also made by a team of central staff on a periodic basis during fieldwork. The senior staff of Central Bureau of Statistics also made frequent visits to field teams to provide support and to review progress.","weight":"The sample sizes of Districts were not proportional to the populations of the Districts and weights were calculated to take this into account for national indicators. \n\nThe Epi Info programme CSAMPLE was used to calculate weighted values of key indicators. In practice, the weighted values are close to the unweighted values.  Unless stated otherwise, values of indicators quoted in the Results section for the whole of Nepal are weighted. Values of indicators at subnational levels (such as eco development regions and in urban and rural sites separately) given in Annex 5 are not shown weighted. The weights give the correct balance of individual areas in national figures, for example taking into account the relative over sampling of mountain eco development regions and urban sites.\n\nThe weighted and unweighted values for key indicators are shown in annex 4 of the Report on Care during Pregnancy and Delivery: Implications for Protecting the Health of Mothers and their Babies, Fifth Cycle.","cleaning_operations":"Data editing took place at a number of stages throughout the processing, including:\n\n- Office editing and coding\n- During data entry\n- Structure checking and complete double entry validation\n \nThe household data were entered twice and validated using Epi Info.","method_notes":"Data coding and entry began during fieldwork, with messengers bringing back as much data as possible to Kathmandu from each of the field teams. Data entry began in July 1997 and data entry and cleaning of quantitative data was completed by end of September 1997. Data entry of qualitative data was completed by early October 1997.\n \nCoding sheets and data entry formats were created for each instrument.  Data entry was programmed using Epi Info (version 6). The Epi Info software package was used for data analysis as well."},"analysis_info":{"response_rate":"A total of 18,996 households were visited in 144 sites. Information was available for 18,653 households (99%). Only 1% households refused the interview. The total population in the households interviewed is 106,160 people. More detailed information was collected from ever-married women aged 15-49 years: a total of 19,557 women. They reported on their last pregnancy and data on a total of 17,609 pregnancies were collected.","sampling_error_estimates":"Standard deviations and 95% Confidence Intervals were calculated for specific variables. These estimates are provided in the Report on Care during Pregnancy And Delivery: Implications for Protecting the Health of Mothers and their Babies, Fifth Cycle (1998).","data_appraisal":"The data collection instruments were piloted several times to ensure that they were appropriate to the households, health facility workers and focus groups concerned and that the coding and data entry arrangements were satisfactory."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Confidentiality of the respondents is guaranteed by Article 8 of Statistics Act 1958.\n\nRestriction on publication of information and details\n\nAny information or details relating to any person, family, firm or company, which has been supplied, obtained or prepared pursuant to section 3, section 4, section 5, section 6 or section 7, or any part of such information or details, shall not be disclosed or published directly except to the Director General or to any officer of the Bureau without the written person or of his authorised representative supplying such information or details.\n\nFor the purpose of instituting any suit under this Act, nothing mentioned in sub-section (1) shall be deemed to prevent production of such information before any court of law.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director General","affiliation":"Central Bureau of Statiscits, Nepal Government","email":" archive@cbs.gov.np","uri":"http:\/\/cbs.gov.np\/?page_id=17"}],"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\nExample:\n\nCentral Bureau of Statistics (CBS), Nepal. Nepal Multiple Indicator Surveillance 1997, Fifth Cycle. Ref. NPL_1997_NMIS_v01_M. Dataset downloaded from [source] on [date].","conditions":"The dataset has been anonymized and is available as a Public Use Dataset. It is accessible to all users for statistical and research purposes only, under the following terms and conditions:\n\n1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Central Bureau of Statistics (CBS). \n2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. \n3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CBS. \n4. No attempt will be made to produce links among datasets provided by the CBS or among data from the CBS and other datasets that could identify individuals or organizations. \n5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the CBS will cite the source of data in accordance with the Citation Requirement provided with each dataset. \n6. An electronic copy of all reports and publications based on the requested data will be sent to the CBS.","disclaimer":"The Central Bureau of Statistics, Nepal bears no responsibility for any outcomes or for interpretations or inferences arising from the use of the dataset."}}},"data_files":[{"file_id":"F4","file_name":"HH5","description":"This file contains the information gathered on NMIS about CARE DURING PREGNANCY AND DELIVERY.","case_count":"0","var_count":"88","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F5","file_name":"ROSTER5","description":"This file contains the information gathered on NMIS about CARE DURING PREGNANCY AND 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