Impact Evaluation of Low-Cost In-Line Chlorination Systems in Urban Dhaka on Water Quality and Child Health 2015
Baseline Survey

Bangladesh, 2015

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Reference ID

BGD_2015_LCCSIE-BL_v01_M

Producer(s)

Stephen P. Luby, Amy Pickering, Sonia Sultana

Collection(s)

The Strategic Impact Evaluation Fund (SIEF)

Metadata

Documentation in PDF DDI/XML JSON

Created on

Feb 16, 2023

Last modified

Feb 21, 2023

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378570

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223

Identification

Survey ID number

BGD_2015_LCCSIE-BL_v01_M

Title

Impact Evaluation of Low-Cost In-Line Chlorination Systems in Urban Dhaka on Water Quality and Child Health 2015

Subtitle

Baseline Survey

Country/Economy

Name	Country code
Bangladesh	BGD

Study type

1-2-3 Survey, phase 1 [hh/123-1]

Abstract

In Dhaka, more than 20 percent of the city's 15 million residents live in slums and almost all rely on shared taps or handpumps for water. Efforts to market in-home disinfection technologies, such as chlorine products and filters, have not succeeded. Dhaka's public water utility company has not considered installing disinfecting solutions at shared community distribution points because cost-effective technologies aren't yet available. In this project, researchers are using an inexpensive technology to automatically add chlorine to water dispensed at public taps and shared hand pumps. The technology, developed by Stanford University, is easy to install and maintain, has no moving parts, and does not require electricity to operate.

The primary objective of this study is to evaluate the impact of installing the automated chlorination system at shared water points on water quality, child health, and costs in a low-income neighborhood in Dhaka, Bangladesh.

The intervention will take place in low-income neighborhoods in Dhaka. Researchers will randomly select 160 shared water points that are connected to the municipal water distribution system. The shared water points will be randomly divided into two groups: 80 will be hooked up to a chlorine dispenser, and 80 will be the control group. The evaluation will be a cluster randomized controlled trial involving the 160 shared water points. Each shared water point serves approximately 10-50 households. All households with at least one child living under the age of five will be enrolled.

The study documented here is the baseline assessment of water treatment practices, water management, socioeconomic status, and child health of low-income households in Dhaka. The baseline survey was conducted between July and October 2015 with the female caregivers of children under five residing in households accessing the water points enrolled into the study. The survey was administered to 920 eligible households with a total of 1,036 children under age five.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

The unit of analysis for this dataset is the household. The data can be re-shaped to have the unit of analysis be children under five years old.

Version

Version Description

v01

Scope

Notes

The scope of the study includes:

household demographic and socioeconomic characteristics,
assets,
income,
access to water and sanitation
water treatment and management,
perceptions of water quality,
diarrhea prevalence in children,
children anthropometrics.

Coverage

Geographic Coverage

Two urban communities in Dhaka

Universe

Households with children under five years old in low-income communities in Dhaka, Bangladesh.

Producers and sponsors

Primary investigators

Name	Affiliation
Stephen P. Luby	Stanford University
Amy Pickering	Stanford University
Sonia Sultana	International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B)

Producers

Name	Affiliation	Role
Pratibha Mistry	World Bank	Task manager

Funding Agency/Sponsor

Name
World Bank Strategic Impact Evaluation Fund

Sampling

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 "B".

Response Rate

There were two refusals at baseline. All other households were enrolled that were present and using the enrolled water points at the time of baseline.

Survey instrument

Questionnaires

The household survey was administered to the female caregiver of children under five residing in households accessing the water points enrolled into the study.

Data collection

Dates of Data Collection

Start	End
2015-07	2015-10

Mode of data collection

Computer Assisted Personal Interview [capi]

Data Collectors

Name
International Centre for Diarrhoeal Disease Research, Bangladesh

Supervision

There was one field supervisor per five enumerators.

Data Collection Notes

Data was collected with tablets running SurveyCTO software.

Data processing

Data Editing

The data was cleaned in Stata. Mistakes by enumerators identified during regular data review were corrected.

Data appraisal

Data Appraisal

Household IDs were checked against a hard copy master list.

Depositor information

Depositor

Name	Affiliation
Amy Pickering	Stanford University

Data Access

Citation requirements

Use of the dataset must be acknowledged using a citation which would include:

the Identification of the Primary Investigator
the title of the survey (including country, acronym and year of implementation)
the survey reference number
the source and date of download

Example:

Stephen P. Luby, Stanford University, Amy Pickering, Stanford University, Sonia Sultana, icddr,b. Impact Evaluation of Low-Cost In-Line Chlorination Systems in Urban Dhaka on Water Quality and Child Health 2015, Baseline Survey (LCCSIE-BL). Ref. BGD_2015_LCCSIE-BL_v01_M. Dataset downloaded from [URL] on [date].

Disclaimer and copyrights

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.

Contacts

Name	Affiliation	Email	URL
Amy Pickering	Stanford University	amyjanel@stanford.edu
Strategic Impact Evaluation Fund	World Bank	siefimpact@worldbank.org	https://www.worldbank.org/en/programs/sief-trust-fund

Metadata production

DDI Document ID

DDI_BGD_2015_LCCSIE-BL_v01_M_WB