{"type":"survey","study_desc":{"title_statement":{"idno":"KEN_2002-2013_INDEPTH-KHDSS_v01_M","title":"Kilifi HDSS INDEPTH Core Dataset 2002-2013 (Release 2017)","alt_title":"INDEPTH-KHDSS 2002-13"},"authoring_entity":[{"name":"Tom Williams","affiliation":"KEMRI Wellcome Trust Research Programme (KWTRP)"},{"name":"Anthony Scott","affiliation":"KEMRI Wellcome Trust Research Programme (KWTRP)"},{"name":"Evasius Bauni","affiliation":"KEMRI Wellcome Trust Research Programme (KWTRP)"}],"oth_id":[{"name":"Population of Kilifi HDSS","affiliation":"","email":"","role":""}],"production_statement":{"producers":[{"name":"David Amadi","affiliation":"KWTRP","role":"Data Manager"},{"name":"Emmanuel Tsory","affiliation":"KWTRP","role":"Field Supervisor"},{"name":"David Walumbe","affiliation":"KWTRP","role":"Field Manager"},{"name":"Chrisopher Nyundo","affiliation":"KWTRP","role":"Catographer"},{"name":"Boniface Jibendi","affiliation":"KWTRP","role":"Sytem Developer"},{"name":"Mark Otiende","affiliation":"KWTRP","role":"Statistician"}],"copyright":"This dataset documentation is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.","funding_agencies":[{"name":"Wellcome Trust","abbreviation":"KWTRP","role":""}]},"distribution_statement":{"contact":[{"name":"iSHARE2 Helpdesk","affiliation":"INDEPTH Network","email":"help-data@indepth-network.org","uri":"http:\/\/www.indepth-ishare.org\/index.php\/howtouse"}]},"series_statement":{"series_name":"Demographic and Health Survey [hh\/dhs]","series_info":"Round 1 to round 40 of the annual demographic surveillance rounds"},"version_statement":{"version":"CMD2013.v1: For piblic distribution","version_date":"2017-05-15"},"study_info":{"keywords":[{"keyword":"Mortality","uri":""},{"keyword":"Fertility","uri":""},{"keyword":"Migration","uri":""},{"keyword":"Population","uri":""}],"topics":[{"topic":"Demography [N01.224]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Emigration and Immigration [N01.224.625.350]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Mortality [N01.224.935.698]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"},{"topic":"Birth Rate [N01.224.935.849.500]","vocab":"MeSH","uri":"http:\/\/www.ncbi.nlm.nih.gov\/mesh"}],"abstract":"The Kilifi Health and Demographic Surveillance System (KHDSS), located on the Indian Ocean coast of Kenya, was established in 2000 as a record of births, pregnancies, migration events, deaths and cause of deaths and is maintained by 4-monthly household visits. The study area was selected to capture the majority of patients admitted to Kilifi District Hospital. The KHDSS has 284 000 residents and covers 891 km2  and the hospital admits 4400 paediatric patients and 3400 adult patients per year. At the hospital, morbidity events are linked in real time by a computer search of the population register. Linked surveillance was extended to KHDSS vaccine clinics in 2008.\n\nKHDSS data have been used to define the incidence of hospital presentation with childhood infectious diseases (e.g. rotavirus diarrhoea, pneumococcal disease), to test the association between genetic risk factors (e.g. thalassaemia and sickle cell disease) and infectious diseases, to define the community prevalence of chronic diseases (e.g. epilepsy), to evaluate access to health care and to calculate the operational effectiveness of major public health interventions (e.g. conjugate Haemophilus influenzae type b vaccine). Rapport with residents is maintained through an active programme of community engagement. A system of collaborative engagement exists for sharing data on survival, morbidity, socio-economic status and vaccine coverage.","coll_dates":[{"start":"2002-01-01","end":"2013-12-31","cycle":"2017 Release Coverage"}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"Kilifi District is situated 60km to the north of Mombasa on the Kenyan coast. It has an area of approximately 2,500 square kilometres and a population of 650,000. A flat coastal strip extends approximately 10km inland to low hills rising to an altitude of 250 metres\n\nAn area of 891 km2 was selected as the smallest number of administrative sublocations that collectively included the stated sublocation of residence of at least 80% of paediatric inpatients in the preceding 3 years (1998-2000). KDH is located in Kilifi town, 3\u00b0 south of the equator and KHDSS extends up and down the coastal strip for 35 km from Kilifi. KDH is the only inpatient facility offering paediatric services in the KHDSS area. The local economy is based on subsistence farming of maize, cassava, cashew nuts and coconuts as well as goats and dairy cows. Two large agricultural estates, two research institutes and several tourist hotels contribute to local employment.","analysis_unit":"Individual","universe":"All individuals in the HDSS area","notes":"The scope of the survey includes:\n\n1. Unique  individuals identifier, sex, vital status and date of birth\n\n2. Events - birth, migrations, enumeration, death, pregnancy and date of event\/observation","study_scope":"The scope of the survey includes:\n\n1. Unique  individuals identifier, sex, vital status and date of birth\n\n2. Events - birth, migrations, enumeration, death, pregnancy and date of event\/observation"},"method":{"data_collection":{"data_collectors":[{"name":"Kilifi Health and Demographic Surveillance System","abbreviation":"KHDSS","affiliation":"KEMRI-cGMRC"}],"frequency":"Three rounds in a year","sampling_procedure":"No sampling, complete population surveyed","sampling_deviation":"Not Applicable","coll_mode":"Proxy Respondent [proxy]","research_instrument":"1. Enumeration of persons\n\nThe Enumeration of People Data Entry Form has all names of residents within an homestead (Hm). This form bears the Enumeration Zone ( EZ) and Hm numbers, Hm name and name of homesteadhead. Also, it has details of each individual such as name, sex, ethinicity, pregnancy status, Kenya national identification number, Mother's national identification card number as well as the BU where an individual sleeps. A Fw uses this form to up-date the residence status of people.\n\n2. Enumeration of buildings\n\nThis form has a list of all homesteads and existing buildings in each homestead (Hm). The form indicates: Hm name, Hm number and building units(BUs) in alphabet numbers. The geographical co-ordinates and materials used to make each building are also included. The census FWs  update this form to show if the building unit still exists or if the BU has been demolished.\n\n3. Listing of all registered Homesteads\nThe Listing of All Registered Homesteads form has all active Hms in a sub-enumeration zone (sub- EZ) according to the previous census round. It is used to confirm number and specific HMs in a sub-EZ with the records of Building Structure (BS) Data Entry Form \n\n4. In migrants\n\nThis form is used to record new people who have moved into an existing or a new homestead, or people who have been present but missed in the previous census rounds and intend to stay for the next three or more months.\n\n5 .Births\n\nThis form is used to record all new born babies by resident mothers. In this form, all personal details of the baby are recorded and linked to those of the mother if she is a resident.\n\n6. Pregnancy\nAll resident women within the reproductive age bracket i.e., between 15 and 49 years, are usually flagged in the Enumeration Data Entry form to be asked about their pregnancy status. \n\n7. Change person details\nChange Personal Details Data Entry form is designed to record changes of personal details.The Change Personal Details Data Entry form provides fields and codes used to effect such changes or corrections. Accuracy of the new value must be supported by evidence, preferrably documented evidence for example, a national identification card for date of birth. \n\n8 .Change buildings details\nThe change buildings details data entry form is designed to record changes relating to building materials, category and coordinates of a building unit as well as change of homestead names. Potential areas for changes and corrections include the Hm name, roof, wall, storey, longitudes, latitudes and elevation. Specific codes are used to describe the type of a building characteristic to be changed. \n \n9. Maps\nKHDSS enumerators use EZ maps with a list of Hms that bears coresponding Hm numbers. Vital landmarks, roads and other features are displayed on a map to assist locate and identify Hms. These maps are up-dated every census round by the mapping team and enumerators. Global Positioning System (GPS) and Geographic Information System (GIS) technologies are used to develop and maintain a mapping database. ETrex garmin GPS receivers are used to collect spatial data and ArcGIS 10 is used to manipulate, edit, store and generate maps.\n\n10.Verbal autopsy\n\n11.Extra Questions","coll_situation":"All KHDSS staffs have undergone intensive training in communication skills, conducting interviews, mapping and map reading. At the end of every census round, the group spends a week on debriefing and retraining. This is usually conducted to appraise the team on what has been done i.e., achievements and challenges. The aim is to identify gaps for improvement in the subsequent rounds. The debriefing provides an opportunity for improvement and retraining in some aspects that may require emphasis and clarifications. Also it is in this forum where training for any new work\/extra questions and activity accompanying the traditional census work is done. During the debriefings, changes and recommendations are adopted and documented.","act_min":"1. Spot checks\nSpot checks refer to random verification of certain details or information about the study. For example, a field supervisor can flip through a fieldworker\u2019s records after the fieldworker has visited a homestead to ascertain that all records are complete. Another area for a spot check is a field supervisor visiting a home previously visited by a fieldworker to confirm that the interview was conducted as indicated. The supervisor can verify few details for example, date of birth of certain individuals at the homestead and details of a migration event. These are then compared with the records earlier presented by a fieldworker. \n\n2. Repeat interviews\nThis can be done at the end of the round by picking a 5% sample then re-interviewing. After the re-interviews, the collected data are compared with that captured by the fieldworkers to check if they were accurate. Another approach is to conduct a repeat interview a day after the initial interview but still take note of the respondent\n\n3. Field Data verification\n\n4. Field follow ups for refusals","weight":"Not Applicable","cleaning_operations":"Manual editing\nA manual editor on daily basis checks completed tools for completeness and consistency. Those that have issues are returned to the responsible fieldworkers for correction and\/or follow ups. Manual editor\u2019s reports are instrumental in evaluating fieldworkers after every two weeks.   \n\nComplementary nature of KEMRI studies\nKemri-Wellcome Trust Programme has a number of research studies being conducted in the same KHDSS census area. Some of these studies are nested within the KHDSS and have proved useful in improving data quality. For example, issues have been raised concerning some details such as date of birth and sex, which prompted verifications in the field and corrections.\n\nThe following processing checks are done during the ETL process.\n\n1. If the first event is legal. Like the first event must beenumeration, birth or inmigration.\n2. If the last event is legal. Like the last event must be end of observtion, death or outmigration.\n3. If the transition events are legal.\n    The list of legal transitions:\n    \n    Birth followed by death\n    Birth followed by exit\n    Birth followed by end of observation\n    Birth followed by outmigration\n    \n    Death followed by none\n    \n    Entry followed by death\n    Entry followed by exit\n    Entry followed by end of observation\n    Entry followed by outmigration\n    Enumeration followed by death\n    Enumeration followed by exit\n    Enumeration followed by outmigration\n    \n    Exit followed by entry\n    \n    Inmigration followed by Death\n    Inmigration followed by exit\n    Inmigration followed by end of observation\n    Inmigration followed by outmigration\n    \n    End of observation followed by none\n    \n    Outmigration followed by none\n    Outmigration followed by enumeration\n    Outmigration followed by inmigration\n    \n    The list of illegal transitions:\n    \n    Birth followed by none\n    Birth followed by birth\n    Birth followed by entry\n    Birth followed by enumeration\n    Birth followed by   inmigration\n     \n    Death followed by birth\n    Death followed by death\n    Death followed by entry\n    Death followed by enumeration\n    Death followed by exit\n    Death followed by inmigration\n    Death followed by outmigration\n    Death followed by end of observation\n    \n    Entry followed by none\n    Entry followed by birth\n    Entry followed by entry\n    Entry followed by enumeration\n    Entry followed by inmigration\n    \n    Enumeration followed by none\n    Enumeration followed by birth\n    Enumeration followed by entry\n    Enumeration followed by enumeration\n    Enumeration followed by inmigration\n    \n    Exit followed by birth\n    Exit followed by death\n    Exit followed by exit\n    Exit followed by end of observation\n    Exit followed by outmigration\n    \n    Inmigration followed by none\n    Inmigration followed by birth\n    Inmigration followed by entry\n    Inmigration followed by enumeration\n    Inmigration followed by inmigration\n    \n    End of observation followed by birth\n    End of observation followed by death\n    End of observation followed by entry\n    End of observation followed by enumeration\n    End of observation followed by exit\n    End of observation followed by inmigration\n    End of observation followed by end of observation\n    End of observation followed by outmigration\n    \n    Outmigration followed by birth\n    Outmigration followed by death\n    Outmigration followed by exit\n    Outmigration followed by end of observation\n    Outmigration followed by outmigration\n    \n    List of edited events:\n    \n    Exit followed by none\n    Exit followed by enumeration\n    Exit followed by inmigration\n   Outmigration followed by entry","method_notes":"- Randomly assigning sub-EZs to fieldworkers\nEvery round, fieldworkers are assigned work randomly to ensure that sub-EZs are visited by different fieldworkers in different rounds. This is important because if there is a trend which may discount data quality and is specific to a fieldworker, it can be identified by a colleague. For example, whereas one fieldworker fails to record certain events or register new building structures, another is most likely to capture such events.\n\n- Source Data Verification (SDV)\nSDV involves checking the data entered into the CFs against that in the original source records e.g. child health cards, National ID cards, and any other reliable documentation.\n\n- Data Entry\nData entry is done in Kilifi Intergrated Data Management System(KIDMS) which runs under the Filemaker platform. During data entry the two methods for validation has been adopted  i.e. data entry checks(system will give flag to alert data entry staff when values are entered outside of the expected range, or if the type of value entered is incorrect) and double data entry. Double data entry method involves two data clerks entering same data into the database in a serial arrangement. If the two entries does not match, the system flags for reconciliation.\n\n- Data Cleaning\nTo ensure the most accurate \"clean\" set of data is provided for the statistical analysis the following activities were conducted:\n- Data checking and error detection;\n- Data validation;\n- Error correction;\n- Improvement of the error prevention processes"},"analysis_info":{"response_rate":"On an average, the response rate is 99.9% over the years in every round.","sampling_error_estimates":"Not Applicable","data_appraisal":"CentreId\tMetricTable\tQMetric\tIllegal\tLegal\tTotal\tMetric\tRunDate\t\nKE011\tMicroDataCleaned\tStarts\t\t674958\t\t\t2017-05-15 12:35\t\nKE011\tMicroDataCleaned\tTransitions  0\t1931606\t1931606\t0\t2017-05-15 12:37\t\nKE011\tMicroDataCleaned\tEnds\t\t674958\t\t\t2017-05-15 12:38\t\nKE011\tMicroDataCleaned\tSexValues  418\t1931188\t1931606\t0\t2017-05-15 12:39\t\nKE011\tMicroDataCleaned\tDoBValues  416\t1931190\t1931606\t0\t2017-05-15 12:39"}},"data_access":{"dataset_availability":{"original_archive":"Kilifi (KE011)"},"dataset_use":{"conf_dec":[{"txt":"This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"iSHARE2 Help Desk","affiliation":"INDEPTH Network","email":"help-data@indepth-network.org","uri":"http:\/\/indepth-ishare.org"}],"cit_req":"Any use of this dataset must cite the digital object identifier (doi) associated with this dataset. Using the following form:\n\n\"Kilifi HDSS INDEPTH Core Dataset 2002-2013 (Release 2016). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http:\/\/www.indepth-network.org>.  doi:10.7796\/INDEPTH.KE011.CMD2013.v1\"","conditions":"This data is made available for licensed access under the following conditions: \n\n1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organizations without INDEPTH's written agreement. \n\n2. In the case of multi-centre datasets, data originating from a single contributing member centre of the INDEPTH Network may not be analysed or reported on in isolation without the express permission of the member centre concerned. \n\n3. No attempt will be made to re-identify respondents, and there will be no use of the identity of any person or establishment discovered inadvertently. Any such discovery will be reported immediately to INDEPTH. \n\n4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. \n\n5. Any books, articles, conference papers, theses, dissertations, reports or other publications employing data obtained from INDEPTH will cite the source, in line with the citation requirement provided with the dataset. \n\n6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. \n\n7. The original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.","disclaimer":"The user of the data acknowledges that the original collector of the data, INDEPTH, and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it."}}},"data_files":[{"file_id":"F1","file_name":"KE011.CMD2013.v1","description":"Event History Micro Data Set of Kilifi HDSS","case_count":"0","var_count":"14","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"RecNr","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"1","var_end_pos":"7","var_width":"7","var_rec_seg_no":"1","labl":"RecNr","var_val_range":[{"units":"REAL","min":"1","max":"1491248"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A sequential number uniquely identifiying each number in the data file","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"CountryId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"8","var_end_pos":"10","var_width":"3","var_rec_seg_no":"1","labl":"CountryId","var_val_range":[{"units":"REAL","min":"404","max":"404"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"ISO 3166-1 numeric code of the country in which the surveillance site is situated","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"CentreId","file_id":"F1","var_intrvl":"discrete","var_start_pos":"11","var_end_pos":"15","var_width":"5","var_rec_seg_no":"1","labl":"CentreId","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"An identifier issued by INDEPTH to each member centre of the format CCCSS, where CCC is a sequential centre identifier and SS is a sequential identifier of the site within the centre in the case of multiple site centres","var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"IndividualId","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"16","var_end_pos":"21","var_width":"6","var_rec_seg_no":"1","labl":"IndividualId","var_val_range":[{"units":"REAL","min":"1","max":"573822"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A number uniquely identifying all the records belonging to a specific individual in the data file. This number is not be the same as the indientifier used by a contributing centre to identify the individual.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V5","name":"Sex","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"22","var_end_pos":"22","var_width":"1","var_rec_seg_no":"1","labl":"Sex","var_val_range":[{"units":"REAL","min":"0","max":"2"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Sex of the individual.","var_catgry":[{"value":"0","labl":"Unknown","stats":null,"type":null},{"value":"1","labl":"Male","stats":null,"type":null},{"value":"2","labl":"Female","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V6","name":"DoB","file_id":"F1","var_intrvl":"discrete","var_start_pos":"23","var_end_pos":"32","var_width":"10","var_rec_seg_no":"1","labl":"DoB","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date of birth of the individual. Format: YYY\/MM\/DD","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V7","name":"EventCount","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"33","var_end_pos":"34","var_width":"2","var_rec_seg_no":"1","labl":"EventCount","var_val_range":[{"units":"REAL","min":"2","max":"20"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The total number of events associated with this individual in this data set","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V8","name":"EventNr","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"35","var_end_pos":"36","var_width":"2","var_rec_seg_no":"1","labl":"EventNr","var_val_range":[{"units":"REAL","min":"1","max":"20"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A number increasing from 1 to EventCount for each event record in order of\nevent occurrence","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V9","name":"EventCode","file_id":"F1","var_intrvl":"discrete","var_start_pos":"37","var_end_pos":"39","var_width":"3","var_rec_seg_no":"1","labl":"EventCode","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"A code identifying the type of event that has occurred","var_catgry":[{"value":"BTH","labl":"Birth","stats":null,"type":null},{"value":"DLV","labl":"Delivery","stats":null,"type":null},{"value":"DTH","labl":"Death","stats":null,"type":null},{"value":"ENT","labl":"Location entry","stats":null,"type":null},{"value":"ENU","labl":"Enumeratio","stats":null,"type":null},{"value":"EXT","labl":"Location exit","stats":null,"type":null},{"value":"IMG","labl":"In-migration","stats":null,"type":null},{"value":"OBE","labl":"Observation end","stats":null,"type":null},{"value":"OBL","labl":"Last observation","stats":null,"type":null},{"value":"OBS","labl":"Observation","stats":null,"type":null},{"value":"OMG","labl":"Out-migration","stats":null,"type":null}],"var_format":"character","var_format_schema":"other","fid":"F1"},{"vid":"V10","name":"EventDate","file_id":"F1","var_intrvl":"discrete","var_start_pos":"40","var_end_pos":"49","var_width":"10","var_rec_seg_no":"1","labl":"EventDate","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"The date on which the event occurred. Format: YYY\/MM\/DD","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V11","name":"ObservationDate","file_id":"F1","var_intrvl":"discrete","var_start_pos":"50","var_end_pos":"59","var_width":"10","var_rec_seg_no":"1","labl":"ObservationDate","var_sumstat":[{"value":"0","type":"vald"}],"var_txt":"Date on which the event was observed (recorded), also known as surveillance visit date. Format: YYY\/MM\/DD","var_format":"character","var_format_name":"Nesstar.date","var_format_schema":"other","var_format_category":"date","fid":"F1"},{"vid":"V12","name":"LocationId","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"60","var_end_pos":"65","var_width":"6","var_rec_seg_no":"1","labl":"LocationId","var_val_range":[{"units":"REAL","min":"1","max":"126111"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Unique identifier associated with a residential unit within the site and is the location where the individual was or became resident when the event occurred. This identifier should not be the same as the identifier used internally by the contributing centre.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V13","name":"MotherId","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_start_pos":"66","var_end_pos":"71","var_width":"6","var_rec_seg_no":"1","labl":"MotherId","var_val_range":[{"units":"REAL","min":"7","max":"573816"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The IndividualID of the mothe. Only provided for BTH events.","var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V14","name":"DeliveryId","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_start_pos":"72","var_end_pos":"72","var_width":"1","var_rec_seg_no":"1","labl":"DeliveryId","var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"The RecNr of the delivery event associated with this birth","var_format":"numeric","var_format_schema":"other","fid":"F1"}],"variable_groups":[]}