{"doc_desc":{"title":"BGD_2015_LCCSIE-FU_v01_M","idno":"DDI_BGD_2015_LCCSIE-FU_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Documentation of the study"}],"prod_date":"2023-02-17","version_statement":{"version":"Version 01 (2023-02-17)"}},"study_desc":{"title_statement":{"idno":"BGD_2015_LCCSIE-FU_v01_M","title":"Impact Evaluation of Low-Cost In-Line Chlorination Systems in Urban Dhaka on Water Quality and Child Health 2015, Follow-up Survey","alt_title":"LCCSIE-FU 2015"},"authoring_entity":[{"name":"Stephen P. Luby","affiliation":"Stanford University"},{"name":"Amy Pickering","affiliation":"Stanford University"},{"name":"Sonia Sultana","affiliation":"ICDDRB"},{"name":"Pratibha Mistry","affiliation":"World Bank"}],"production_statement":{"producers":[{"name":"World Bank","affiliation":"","role":""}],"funding_agencies":[{"name":"World Bank Strategic Impact Evaluation Fund","abbreviation":"SIEF","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Strategic Impact Evaluation Fund","affiliation":"World Bank","email":"siefimpact@worldbank.org","uri":""},{"name":"Pratibha Mistry","affiliation":"World Bank","email":"pmistry@worldbank.org","uri":""}],"depositor":[{"name":"Strategic Impact Evaluation Fund","abbreviation":"","affiliation":""}]},"series_statement":{"series_name":"Impact Evaluation Study","series_info":"The baseline survey was conducted in 2015 and it is available here: https:\/\/microdata.worldbank.org\/index.php\/catalog\/5730"},"version_statement":{"version":"Version 1.2: Edited data, second version, for internal use only.","version_date":"2017-06-27"},"study_info":{"abstract":"The primary objective of this study is to evaluate the impact of installing an automated chlorination system at shared water points on water quality, child health, and costs in a low-income neighborhood in Dhaka Bangladesh. This survey is the follow assessment of water treatment practices, water management, illness related expenditures, water quality, and child health. There are three data sets, one with household survey data, one with chlorine residual data, and one with microbial water quality data. The follow up data sets include 7 rounds of data collection during the follow up period (up to 7 visits per household).","coll_dates":[{"start":"2015-10","end":"2016-12","cycle":""}],"nation":[{"name":"Bangladesh","abbreviation":"BGD"}],"geog_coverage":"Two urban communities in or near Dhaka.","analysis_unit":"The unit of analysis for this data set is the household. The data can be re-shaped to have the unit of analysis be children under five years.","notes":"HOUSEHOLD: Demographic and socioeconomic characteristics, including assets, income, and access to water and sanitation.  Water treatment, management, and perceptions of water quality are also captured. \nCHILDREN: Diarrhea prevalence and anthropometrics recorded for children under fives years of age in the household. Illness related expenditures and antibiotic usage are also captured. \nWATER: Tap and household stored water samples were collected throughout the study. We report chlorine residual and colony forming units of the fecal indicator bacteria e.coli and total coliform."},"method":{"data_collection":{"sampling_procedure":"The study was designed as a cluster randomized controlled trial, with shared water points randomly assigned to treatment or control groups. The study is sited in two low-income communities in\/near Dhaka. Study site \"A\" has submersible pumps; each pump is connected to a 4000L tank system that provided water intermittently to 80-300 households. An additional 80 water points connected to the Dhaka municipal water system are enrolled from a low-income community in Dhaka, study site \u201cB\u201d. _x000D__x000D_Between October 2015 and December 2016, follow up surveys were conducted with the primary caregivers of children under five residing in all enrolled households to characterize demographics, education, employment, dwellings and assets, water quality, and diarrheal prevalence. The baseline survey was conducted for 920 eligible households with a total of 1,036 children under age five. Follow up surveys include new households that moved into the compounds\/households accessing the enrolled water points.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The title of the questionnaire file submitted with this data is: health_impact_followup_survey_Dhaka_Chlorine. The questionnaire is in English, and provided for download.\n\nThe household survey was administered to the female caregiver of children under five residing in households accessing the water points enrolled into the study.","method_notes":"Data was collected with tablets running SurveyCTO software."},"analysis_info":{"response_rate":"12 households refused during follow up.","data_appraisal":"Household IDs were checked against a hard copy master list."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"","form_no":"","uri":""}],"contact":[{"name":"Strategic Impact Evaluation Fund","affiliation":"World Bank","email":"","uri":""},{"name":"Pratibha Mistry","affiliation":"World Bank","email":"","uri":""}],"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\n Example:\n Stephen P. Luby (Stanford University), Amy Pickering (Stanford University), Sonia Sultana (ICDDRB), Pratibha Mistry (World Bank). Bangladesh - Impact Evaluation of Low-Cost In-Line Chlorination Systems in Urban Dhaka on Water Quality and Child Health 2015, Follow-up Survey (LCCSIE-FU 2015). Ref: BGD_2015_LCCSIE-FU_v01_M. Downloaded from [uri] on [date].","conditions":"Licensed datasets, accessible under conditions and following review","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"}]}