{"doc_desc":{"title":"Incentivizing sanitation uptake and sustainable usage through micro health insurance","idno":"DDI_IND_2017_ISUSUIE-EL_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbr":"DECDG","affiliation":"The World Bank Group","role":"Documentation of the study"}],"prod_date":"2023-11-15T05:00:00.000Z","version_statement":{"version":"Version 01 (November 2023)","version_date":""}},"study_desc":{"title_statement":{"idno":"IND_2017_ISUSUIE-EL_v01_M","title":"Incentivizing Sanitation Uptake and Sustainable Usage through Micro Health Insurance, Impact Evaluation 2017","sub_title":"Endline Survey","alternate_title":"ISUSUIE-EL 2017"},"authoring_entity":[{"name":"Orazio Attansio","affiliation":"Institute of Fiscal Studies, University of London"},{"name":"Britta Augsburg","affiliation":"Institute of Fiscal Studies, University of London"}],"production_statement":{"producers":[{"name":"Jane Bevan","abbr":"","affiliation":"Water and Sanitation Program, World Bank","role":"Task Team Leader"}],"prod_date":"2021-06-23","funding_agencies":[{"name":"Strategic Impact Evaluation Fund","abbr":"SIEF","role":""}]},"distribution_statement":{"contact":[{"name":"Strategic Impact Evaluation Fund","affiliation":"The World Bank Group","email":"siefimpact@worldbank.org","uri":""},{"name":"Jane Bevan","affiliation":"Water & Sant. Prgrm-SAR, World Bank","email":"jbevan1@worldbank.org","uri":""}],"depositor":[{"name":"Holly Jean Blagrave","abbr":"","affiliation":"The World Bank Group","uri":""}],"deposit_date":"2018-12-03","distribution_date":""},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"This impact evaluation consists of a baseline survey and an endline survey. The baseline survey was conducted in 2014 and can be located on the World Bank Microdata Library using the following link: https:\/\/microdata.worldbank.org\/index.php\/catalog\/2295. The endline survey is documented here."},"version_statement":{"version":"v01: Edited, anonymous datasets for public distribution","version_date":""},"bib_citation_format":"","holdings":[{"name":"","location":"","callno":"Impact Evaluation: P133787","uri":""}],"study_authorization":{"date":""},"study_info":{"keywords":[{"keyword":"Government Subsidies, Microfinance, Swachh Bharat Mission, SBM, Sanitation, Health Insurance, India","vocab":"","uri":""}],"abstract":"This study has been designed to investigate innovative ways of increasing the uptake and usage of safe sanitation and to provide evidence on the links between improved sanitation and health insurance. It does so by studying two distinct but linked projects. \n\nComponent 1 promotes the take up of improved sanitation with microfinance loans provided by Grameen Koota in rural Maharashtra. Social mobilization will be conducted by the NGO Navya Disha. These interventions aim to improve health and reduce health care costs of the poor in rural India, potentially reflected in lower health insurance claim volumes. \n\nComponent 2 proposes to explore primary community health insurance provided to communities that become open defecation free (ODF), conditional on sustaining their ODF status. If this is successful, the evidence will be strong advocacy material to encourage insurance companies to promote similar products at low rates throughout India, improving the sustainability of ODF.","coll_dates":[{"start":"2017-08-01","end":"2018-01-01","cycle":"Endline Survey"}],"nation":[{"name":"India","abbreviation":"IND"}],"geog_coverage":"120 Gram Panchayats in two Districts in Maharashtra, Nanded and Latur.","geog_unit":"Gram Panchayat","analysis_unit":"- Villages\n- Households","data_kind":"Sample survey data [ssd]","notes":"The scope of this study includes:\n\nVillages:\n- Population, area, location \n- Transportation\n- Infrastructure\n- Political economy\n- Community activities\n- Sources of water and sanitation, waste disposal\n- Shocks\n- Prices\n\nHouseholds: \n- General household characteristics\/household roster\n- Education\n- Dwelling\n- Individual sanitation behaviour\n- Income generating activities\n- Total household income \n- Own or family owned business or farm\n- Household sanitation\n- Water\n- Consumption\n- Assets\n- Savings\n- Credit\n- Health care utilization\n- Household economic shocks and risks\n- Insurance\n\nMen and Women: \n- Household decision making\n- Personal hygiene\n- Sanitation preferences and beliefs\n- Health\n- Credit and savings\n- Memberships and political activity\n- Social networks\n- Children\n- Care practices for diarrhoea\n- Health knowledge\n- Anthropometrics","ex_post_evaluation":{"completion_date":"","type":""}},"method":{"data_collection":{"data_collectors":[{"name":"Nielsen India (PVT) Ltd","abbr":"","role":"","affiliation":""}],"sampling_procedure":"This evaluation is based on a 'cluster randomized controlled trial'. The study started off by determining the set of 120 Gram Panchayats (GPs) to consider as part of the evaluation and then to randomly allocate each of these to the three different evaluation arms. The second step was the randomization of the 120 GPs to one of three evaluation arms. Randomization was stratified by branch and by size of the GP (size in terms of number of households). The study stratified not only at the GP-level randomization, but also when selecting the sample of survey respondents. Study households were stratified by (i) whether a client lived in the household and (ii) whether a child under the age of two years lived in the household. All client households interviewed at the baseline (around 1,800) were included in the endline sample of client survey, referred to as the `panel client household\u2019. \n\nTo limit sample loss due to attrition for the endline survey from the baseline survey, the study tracked households if they moved (i) within the GP where they lived at baseline, and (ii) to another GP in the study area. 2,400 additional households were selected among clients already active at baseline and belonging to those lending groups (kendra) where at least one client household was interviewed for the baseline survey. Overall, they sampled around 75% of all 5,350 active at the time of the baseline survey.\n\nAs was the case with client households interviewed at baseline, they also revisited all non-client households interviewed at the baseline (around 1,800) for the endline survey. They supplemented the original non-client households with a sample of households living close to a random sample of client households (which we refer to as the index households). They surveyed around 8 - 9 index households per GPs according to the size of the client population in that GP, for a total of 1,000 index households and 5,000 neighbor households from the same 120 GPs.\n\nAs mentioned above, panel households were tracked within the GP and in other GPs within the study area to limit attrition. The attrition rate for the whole panel sample was on average 4% (2% and 6% among non-clients and clients respectively), between the baseline and endline surveys.","sample_frame":{"frame_unit":{"is_primary":"","num_of_units":""}},"coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The data was collected using the following survey instruments:\n\n- Client Questionnaire \n- Community (Village) Questionnaire\n- Household (Clients) Questionnaire \n- Household (Non-Clients) Questionnaire\n- Mason Questionnaire \n- Non-Client (Neighbours) Questionnaire \n- Non-Client Index (Neighbours) Questionnaire \n- Swachh Bharat Mission (SBM) Village Questionnaire\n\nThe questionnaires are provided in English and are made available for download here.","instru_development_type":""}},"data_access":{"dataset_availability":{"access_place":"World Bank Microdata Library","access_place_url":"https:\/\/microdata.worldbank.org\/index.php\/home"},"dataset_use":{"contact":[{"name":"Strategic Impact Evaluation Fund","affiliation":"The World Bank Group","email":"siefimpact@worldbank.org","uri":"https:\/\/www.worldbank.org\/en\/programs\/sief-trust-fund"}],"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\nOrazio Attansio and Britta Augsburg, Institute of Fiscal Studies, University of London. India - Incentivizing Sanitation Uptake and Sustainable Usage through Micro Health Insurance, Impact Evaluation 2017, Endline Survey. Ref: IND_2017_ISUSUIE-EL_v01_M. Dataset downloaded from [URL] on [date].","conditions":"Public Access","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."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}