DDI_IND_2009-2015_INDEPTH-VHDSS_v01_M iSHARE2 Technical Team Tathagata Bhattacharjee 2017-06-30 NADA - v01 (June 2017) The DDI was produced by INDEPTH Network. It was downloaded on October 18, 2017 from http://www.indepth-ishare.org/index.php/catalog/115/ by the World Bank Microdata Library documentation team. - v02 (October 2017) Modifications in the study ID and DDI ID were done by the World Bank Microdata Library documentation team to match the standard used by the library and the IHSN Survey Catalog. Some metadata fields were also edited. Vadu HDSS INDEPTH Core Dataset 2009 - 2015 (Release 2017) Release 2014 INDEPTH-VHDSS 2009-15 IND_2009-2015_INDEPTH-VHDSS_v01_M Dr. Sanjay Juvekar (Founding Co-Investigator and presently Investigator: 2002 to date) Dr. Siddhivinayak Hirve (Founding Investigator: from 2002-2009)

Dr Sanjay Juvekar

Dr. Siddhi Vinayak Hirve

Dr Laila Garda

Dr. V S Padbidri

Tathagata Bhattacharjee

Sandeep Bhujbal

Bharat Chaudhary

Nidhi Patharia

Neeraj Kashyap

Suhas Bhalerao

Anant Shinde

Pallavi Lele

Dr. Sudipto Roy

Rajlaxmi Rangan

Ramesh Pardeshi

Pandurang Jadhav

Hanif Shaikh

Dr. Girish Dayma

Dr. Ankita Srivastava

Rutuja Patil

Veena Muralidharan

Sagar Patil

Padma Sambhudas (Khuha)

Somnath Sambhudas

Trupti Varpe

 The International Network for the Demographic Evaluation of Populations and Their Health, Accra Ghana Bharat Chaudhary Field Research Assistants/ Field Research Assistants/ Field Research Assistants / Supervisors 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. NADA Self Funded iSHARE2 Helpdesk Demographic Surveillance Data collection for Vadu HDSS started in November 2002. As of 31 December 2016, researchers completed 27 rounds. This is a longitudinal dataset containing rounds 12 to 25 of demographic surveillance data surveys covering the period from 1 Jan. 2009 to 31 December 2015. Two rounds of data collection took place annually during this period. CMD2015.v1: Edited dataset for public distribution CMD2015.v1 Fertility Mortality Migration Population Demography [N01.224] Emigration and Immigration [N01.224.625.350] Mortality [N01.224.935.698] Cause of Death [N01.224.935.698.100] Birth Rate [N01.224.935.849.500] Vadu Rural Health Program, KEM Hospital Research Centre Pune has a rich tradition in health care and development being in the forefront of needs-based, issue-driven research over almost 35 years. During the decades of 1980 and 1990 the research at Vadu focused on mother and child with epidemiological and social science research exploring low birth weight, child survival, maternal mortality, safe abortion and domestic violence. The research portfolio has ever since expanded to include adult health and aging, non-communicable and communicable diseases and to clinical trials in recent years. It started with establishment of Health and Demographic Surveillance System at Vadu (HDSS Vadu) in August, 2002 that seeks to establish a quasi-experimental design setting to allow evaluation of impact of health interventions as well as monitor secular trends in diseases, risk factors and health behavior of humans. The term "demographic surveillance" means to keep close track of the population dynamics. Vadu HDSS deals with keeping track of health issues and demographic changes in Vadu rural health program (VRHP) area. It is one of the most promising projects of national relevance that aims at establishing a quasi-experimental intervention research setting with the following objectives: 1) To create a longitudinal data base for efficient service delivery, future research, and linking all past micro-studies in Vadu area 2) Monitoring trends in public health problems 3) Keeping track of population dynamics 4) Evaluating intervention services This dataset contains the events of all individuals ever resident during the study period (1 Jan. 2009 to 31 Dec. 2015). India Vadu HDSS falls in two administrative blocks: (1) Shirur and (2) Haweli of Pune district in Maharashtra in western India. It covers an area of approximately 232 square kilometers. Individual Vadu HDSS covers as many as 50,000 households having 140,000 population spread across 22 villages. Event history data Attributes common to each event: event type, event date, observation date Migration: origin & destination Death: cause Delivery: live born and still born counts, parity Bharat Chaudhary Vadu HDSS Field Research Assistants Vadu HDSS Field Research Supervisors Two rounds per year Vadu area including 22 villages in two administrative blocks is the study area. This area was selected as this is primarily coverage area of Vadu Rural Health Program which is in function since more than four decade. Every individual household is included in HDSS. There is no sampling strategy employed as 100% population coverage in the area is expected. Proxy Respondent [proxy] Language of communication is in Marath or Hindi. The form labels are multilingual - in English and Marathi, but the data entered through the forms are in English only. The following forms were used: - Field Worker Checklist Form - The checklist provides a guideline to ensure that all the households are covered during the round and the events occurred in each household are captured. - Enumeration Form: To capture the population details at the start of the HDSS or any addition of villages afterwards. - Pregnancy Form: To capture pregnancy details of women in the age group 15 to 49. - Birth Form: To capture the details of the birth events. - Inmigration Form: To capture inward population movement from outside the HDSS area and also for movement within the HDSS area. - Outmigration Form: To capture outward population movement from inside the HDSS area and also for movement within the HDSS area. - Death Form: To capture death events. 1) Training of Fieldworkers: Training is planned and executed at the centre ie at Vadu HDSS every six months before the data collection round begins. Five days training session is conducted and every training session is evaluated by both the trainees and trainers. Trainers complete daily evaluation by asking questions in order to identify problems that trainees had experienced during that particular day’s training. Areas that needed re- training are revisited the following day. At the end of the training moc interviews are conducted by the trainees. Survey: The data collection approach revolves around the use of a team of Field Research Assistants and Field Research Supervisors. The team is assigned a fixed number of EAs to enumerate. The team works together in each sampled EA and moves to the next one, once the targeted EA had been completed. The advantage of this method is that the supervisor is in daily in contact with the team, which improves the quality of the data collection during fieldwork. Supervisors go to the FRA who have completed the interview and immediately check the questionnaire for errors, consistency and completeness. Where errors are found, the FRA is sent back to the household to correct the information that had been recorded previously. If the supervisors are satisfied, they sign off the questionnaire and store it in a safe place. Supervisors do the same for all the members of their team until the EA had been completed. The team then moves to another selected EA. The interview is conducted face - to -face which takes approximately 15 - 30 minutes each and this entire process takes around 5 months for every round. 2) Team Size: 20 - 40 3) Language: Marathi & Hindi Field Research Assistants (FRA) collect data from the field on hard copies. There is one Field Research Supervisor (FRS) for every 5 to 6 FRA. Two Field Coordinators supervise over FRS. Besides the fiedl staffs Vadu HDSS has supervisors in each of the departments including Data Quality Assurance and Data Managerment team. Entire HDSS is managed by a Project Manager under the leadership of the Center Leader. Not applicable Entered data undergo a data cleaning process. During the cleaning process all error data are either corrected in consultaiton with the data QC team or the respective forms are sent back to the field for re collection of correct data. Data editors have the access to the raw dataset for making necessary editing after corrected data are bought from the field. For all individuals whose enumeration (ENU), Inmigration (IMG) or Birth (BTH) have occurred before the left censoring date (2009-01-01) and have not outmigrated (OMG) or not died (DTH) before the left censoring date (2009-01-01) are included in the dataset as Enumeration (ENU) with EventDate as the left censored date (2009-01-01). But the actual date of observation of the event (ENU, BTH, IMG) is retained in the dataset as observation date for these left censored ENU events. The individual is dropped from the dataset if their end event (OMG or DTH) is prior to the left censoring date (2009-01-01) On an average the response rate is 99.99% in all rounds over the years. Not Applicable Data is cleaned to an acceptable level against the standard data rules using Pentaho Data Integration Comminity Edition (PDI CE) tool. After the cleaning process, quality metrics were as follows: CentreIdMetricTableQMetric IllegalLegalTotalMetricRunDate IN021MicroDataCleanedStarts 13011123011130.2017-05-31 20:06 IN021MicroDataCleanedTransitions 06670106670100.2017-05-31 20:07 IN021MicroDataCleanedEnds3011132017-05-31 20:07 IN021MicroDataCleanedSexValues 296669816670100.2017-05-31 20:07 IN021MicroDataCleanedDoBValues 5756664356670100.2017-05-31 20:07 Note: Except lower under five mortality in 2012 and lower adult mortality among females in 2013, all other estimates are fairly within expected range. Data underwent additional review in terms of electronic data capture, data cleaning and management to look for reasons for lower under five mortality rates in 2013 and lower female adult mortality in 2013. The additional review returned marginally higher rates and this supplements the validity of collected data. Further field related review of 2012 and 2013 data are underway and any revisions to published data/figures will be shared at a later stage. INDEPTH Data Repository Vadu (IN021) This data is anonymised and no confidentiality agreement in addition to the general data use agreement is required. iSHARE2 Help desk Any use of this dataset must cite the digital object identifier (doi) associated with this dataset using the following form: "Vadu HDSS INDEPTH Core Dataset 2009-2015 (Release 2017). Provided by the INDEPTH Network Data Repository. www.indepth-network.org<http://www.indepth-network.org>. doi:10.7796/INDEPTH.IN021.CMD2015.v1" This data is made available for licensed access under the following conditions: 1. Data and other material provided by INDEPTH will not be redistributed or sold to other individuals, institutions or organisations without INDEPTH's written agreement. 2. 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. 3. 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. 4. No attempt will be made to produce links between datasets provided by INDEPTH or between INDEPTH data and other datasets that could identify individuals. 5. 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. 6. An electronic copy of all publications based on the requested data will be sent to INDEPTH. 7. 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. 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. IN021.CMD2015.v1 This file contains INDEPTH Core microdataset. This file was generated using ETL through Pentaho Kettle. 0 14 RecNr RecNr RecNr RecNr RecNr A sequential number uniquely identifying each record in the data file CountryId CountryId CountryId CountryId CountryId ISO 3166-1 numeric code of the country in which the surveillance site is situated CentreId CentreId CentreId CentreId CentreId 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 IndividualId IndividualId IndividualId IndividualId IndividualId 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 identifier used by a contributing centre to identify the individual. Sex Sex Sex Sex Sex Unknown 1 Male 2 Female Sex of the individual. 1 for Male and 2 for Female DoB DoB DoB DoB DoB The date of birth of the individual. Format: YYYY/MM/DD EventCount EventCount EventCount EventCount EventCount The total number of events associated with this individual in this data set EventNr EventNr EventNr EventNr EventNr A number increasing from 1 to EventCount for each event record in order of event occurrence EventCode EventCode EventCode EventCode EventCode BTH Birth DLV Delivery DTH Death ENT Entry ENU Enumeration EXT Exit IMG In-Migration OBE Observation End OBL Last Observation OBS Observation OMG Out-Migration A code identifying the type of event that has occurred. EventDate EventDate EventDate EventDate EventDate The date on which the event occurred. Format: YYYY/MM/DD ObservationDate ObservationDate ObservationDate ObservationDate ObservationDate Date on which the event was observed (recorded), also known as surveillance visit date. Format: YYYY/MM/DD LocationId LocationId LocationId LocationId LocationId 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 is not be the same as the identifier used internally by the contributing centre. MotherId MotherId MotherId MotherId MotherId The IndividualId of the mother. Only provided for BTH events. DeliveryId DeliveryId DeliveryId DeliveryId DeliveryId The RecNr of the delivery event associated with this birth