ETH_2017-2019_ISCLTSH-IE_v01_M
The Impact and Sustainability of Community-Led Total Sanitation and Hygiene (CLTSH) 2017-2019
Andilaye Impact Evaluation - Baseline, Midline, and Endline Surveys
ISCLTSH-IE 2017-2019
Name | Country code |
---|---|
Ethiopia | ETH |
Other Household Health Survey [hh/hea]
This impact evaluation consists of the baseline survey (2017) and two follow-up surveys, the midline (2018) and the endline (2019).
Sample survey data [ssd]
Individuals, households, household facilities (e.g., household latrines, wash stations), communities
v01: Edited, anonymous datasets for public distribution
This study covers the following topics:
Household: household demographics and other characteristics; household listing including: the head of household, primary caregiver of the index child (youngest child aged 1-9 years at baseline), respondent (if different than the primary caregiver of the index child), and any children between the ages of 0-17 years residing in the household - capturing the following data points on each member: age, sex, school enrollment, animal husbandry and water fetching responsibilities, shoe wearing observation (if present at the time of the survey), defecation and urination practices for all individuals; respondent-reported water collection, storage, treatment practices; water insecurity measures (measured via validated scale); washing station access and observed conditions; household latrine access; respondent-reported construction, operation and maintenance/repairs, and upgrades at household latrine; observed conditions of the household latrine; respondent-reported and observed animal husbandry and waste management practices; respondent-reported household-level hygiene practices, including frequency of washing towels, bedsheets, baby carriers, toys (potential fomites)
Head of Household: highest educational attainment; above-mentioned data; sanitation insecurity; collective efficacy
Primary Caregiver of the Index Child (i.e., youngest child in the household aged 1-9 years at baseline - this person is ideally, and in actuality, often the primary survey respondent): highest educational attainment; marital status; and above-mentioned data
Respondent: relation to head of household; role with regard to caregiving responsibilities; age; sex; religion; ethnicity; observed hand cleanliness; respondent-reported handwashing, facewashing, bathing practices; frequency with which respondent's clothes are washed (respondent-reported); sanitation insecurity; collective efficacy; mental health (measured via validated scale)
Children Aged 0-9: respondent-reported diarrhea, dysentery, fever, nasal congestion; observed hand cleanliness; observed facial cleanliness measured via presence/absence of wet and/or dry nasal discharge, ocular discharge, other dust/dirt/debris, number of fly-face contacts during a 1-minute observation; if aged 0-3: respondent-reported infant and young child feces disposal practices
Index Children (i.e., youngest child in the household aged 1-9 years at baseline): same data as other children aged 0-9 plus a swab-based facial and hand cleanliness assessment; respondent-reported handwashing, facewashing, and bathing practices; respondent-reported frequency with which index child's clothes are washed
Rural and peri-urban areas only, in three districts (Farta, Fogera, and Bahir Dar Zuria) in the Amhara National Regional State
Village (gott)
Original baseline process randomly selected rural and peri-urban households with at least one child between the ages of 1-9 years located within purposively selected villages (i.e., gotts) in randomly selected sub-districts (i.e.,kebeles) of the Farta, Fogera, and Bahir Dar Zuria woredas (i.e., districts) in the Amhara National Regional State.
Name | Affiliation |
---|---|
Matthew C. Freeman | Emory University, Rollins School of Public Health, Department of Environmental Health |
Abebe Gebremariam Gobezayehu | Emory Ethiopia |
Name | Affiliation | Role |
---|---|---|
Josh V. Garn, PhD, MS | Emory University, Rollins School of Public Health, Department of Environmental Health | Technical assistance in data processing and analysis |
Maryann G. Delea, MPH | Emory University, Rollins School of Public Health, Department of Environmental Health | Technical assistance in questionnaire design, sampling methodology / selection, pilot testing, enumerator training, data collection, data analysis |
Jedidiah S. Snyder, MPH | Emory University, Rollins School of Public Health, Department of Environmental Health | Technical assistance in sample selection, data collection, data processing |
Gloria D. Sclar, MPH | Emory University, Rollins School of Public Health, Department of Environmental Health | Technical assistance in questionnaire design |
Bethany Caruso, PhD, MPH | Emory University, Rollins School of Public Health, Department of Environmental Health | Technical assistance in questionnaire design, sampling methodology |
Craig Hadley, PhD | Emory University, College of Arts & Sciences, Department of Anthropology | Technical assistance in questionnaire design |
Kenneth Maes, PhD | Portland State University, College of Liberal Arts, Department of Anthropology | Technical assistance in questionnaire design |
Name | Abbreviation |
---|---|
World Bank, Strategic Impact Evaluation Fund | SIEF |
International Initiative for Impact Evaluation | 3ie |
We are interested in understanding the impact the Andilaye intervention has on sustained WASH behavior change, diarrhea, and mental well-being. As such, we conducted a sample size determination for mental well-being, as this impact was deemed the most restrictive in terms of required sample size. Our sample size analysis indicated that we should recruit and enroll a total of 30 households from each of 50 study clusters (25 clusters per study arm), for a total of 1,500 enrolled households. During our power analysis, we considered the possibility of increasing the number of study clusters and decreasing the take size within each cluster. However, this approach presented considerable logistical and financial implications. Our final sample size accommodates for 10% of households being lost to follow-up, poor compliance to intervention allocation, inconsistent adherence to the intervention, and/or household level loss to follow-up. With data collected from 1,589 households, our baseline survey sample exceeded the targeted number of required households, per our sample size calculation, and the midline, with 1,496 met expectations with respect to anticipated attrition.
Sampling Methodology:
The Andilaye team employed a structured sampling strategy to randomly select eligible kebele clusters and study households. The primary sampling unit (PSU) for this study was the kebele; specifically, any rural or peri-urban kebele that is accessible throughout the course of the year. The ultimate sampling unit (USU) for this study is the household; specifically, any household residing in a targeted, sentinel gott within a randomly selected study kebele. While we randomly selected eligible study clusters (i.e., kebeles), we purposively selected gott(s) from which we randomly selected study households. We utilized a ‘fried egg’ approach to purposively select one or two gotts that are either situated in/near the center of the kebele (if there are centric gotts) or are not adjacent to any other study kebele (in the event there are no centric gotts). The number of targeted gotts depended only on the number of eligible households that consented to participate in the study. The purposive selection of data collection sites within study clusters via the ‘fried egg’ approach is justified, as it minimizes spill-over of intervention effects and other externalities associated with the research between intervention and control clusters, especially those adjacent to each other. In accordance with our sample size calculation, we randomly selected approximately 30 households total per kebele cluster. Not all households met eligibility criteria for inclusion in the study sample, and some households refused to participate in the study.
Target Study Population:
Our target study population included all households residing in randomly selected rural and peri-urban kebeles that are accessible throughout the course of the year in the Farta, Fogera, and Bahir Dar Zuria woredas. These woredas are located within South Gondar and West Gojjam Zonesin Amhara National Regional State.
Inclusion & Exclusion Criteria:
Kebele-level criteria: Rural and peri-urban kebeles in the Farta, Fogera, and Bahir Dar Zuria woredas that are accessible throughout the course of the year were targeted for selection into the evaluation. Given intervention implementation is being supervised by local government officials (e.g., Woreda Health Officers, Health Center HEW supervisors), it was necessary for the kebeles to be accessible throughout the course of the year, to demonstrate proof of concept regarding the effectiveness of the Andilaye intervention. While sanitation coverage and utilization were originally incorporated as inclusion criteria, the veracity of those data were questionable in many kebeles in which initial visits were made (i.e., only one latrine observed in a community in which sanitation coverage was reportedly over 80%, and community reports of this being the case for as long as people could recall). Due to uncertainty with regard to the sanitation coverage and utilization data, and the fact that it became apparent during formative research that behavioral slippage was rampant even in kebeles previously declared as open defecation free, we decided to drop those criteria from inclusion requirements. The Andilaye team did discuss this change in selection criteria with relevant donors, who agreed the study would demonstrate added value if it could include otherwise eligible kebeles, regardless of their sanitation coverage and use or previous CLTSH triggering status, to explore issues related to behavioral maintenance and prevention of behavioral slippage. This evaluation does not include a mass drug administration (MDA) component and has not sought to influence the timing of such activities in study communities. The presence of MDA in the study area will not alter the research questions assessing the impact of the Andilaye intervention on targeted health impacts, behavior change, or sustainability of improved sanitation and hygiene practices.
Household-level criteria: Inclusion criteria for the Andilaye Impact Evaluation included any household randomly selected from the gott census book that resides in the target gott(s) that: 1. Has at least one child aged 1-9 years and consented to allowing study staff to observe the children, specifically their faces and hands; 2. Provided consent to participate in our study, with at least one adult household member consenting to serve as the survey respondent. We excluded from enrollment in our study any household that: 1. Refused to provide consent to participate in our survey; 2. Was repeatedly vacant or does not have an appropriate member of the household (capable adult) home to serve as the household’s respondent after three attempts to engage the household; and 3. Did not have a household member aged 1-9 years (at baseline) living in the household. After consulting with the field supervisor, the enumerator replaced these households with the next randomly selected household on the eligible household register. Field supervisors and study supervisors from Emory supervised field activities and ensured enumerators were only surveying households within the eligible household sampling frame in order to guarantee the sample was random and equitable. Actual recruitment of households selected for the Andilaye Impact Evaluation took place within the home compounds. The enumerator made contact with adult members of the household; she explained the purpose of the visit, the purpose of the study, and asked the respondent if s/he would like to participate in the study. Enumerators assessed household level eligibility by asking potential survey respondents a series of questions that lead to a determination of eligibility. Potential survey respondents were informed that they could choose not to participate in the study, that they could refuse to answer any question, and that they could stop the survey for any reason at any point in time.
Sampling Frames & Sample Selection:
All kebeles that are rural or peri-urban, and are accessible throughout the course of the year, per Woreda Health Office definition, situated in the three targeted woredas were eligible for inclusion in our study. The enumerated list of all kebeles the three respective Woreda Health Offices maintain served as the first level sampling frame. From this sampling frame, we employed a random number generator and a stratified (at the woreda level) selection approach to identify 50 eligible kebele level clusters from across the three woredas for inclusion in our study. Given each of the three woredas vary with regard to their hydrogeological conditions and the size and number of kebeles, we deemed a stratified selection approach appropriate, and used it to select study clusters. Of the 50 clusters, 22 were selected from Farta, 12 from Fogera, and 16 from Bahir Dar Zuria. An even number of clusters were selected from each woreda to ensure an equivalent sample size between the intervention and control clusters selected from each woreda. Once an appropriate gott was selected from each kebele, the team worked with the HEW to obtain a list of all of the households within the gott, specifically those with a child aged 1-9 years, as per study inclusion criteria. In order to operationalize this in a standardized manner, we used The Carter Center’s (TCC) household census books, which are kept at the Health Post and enumerate all households and all household members (by age) residing within the household. At each Health Post, we obtained all TCC census books pertaining to the relevant gott(s). When there was more than one version of the TCC census book (i.e., books from censuses conducted during different years), the book with the latest census data was used as the gott sampling frame. After all relevant books were gathered, the total number of households in the gott was determined (by counting up the number of households from each of the gott’s TCC census books), and a random number generator was used to generate a list of 60 households per gott that reportedly had a child between the ages of 1-9 years. The list exceeded the total number of households that would be required for enrollment in each gott in order to allow for replacement in the field if the household did not, in reality, meet inclusion criteria (i.e., have at least one child aged 1-9 years), have an eligible respondent available after three attempts, or have an eligible respondent who consented to participate in the study. During data collection, each field supervisor and enumerator were provided a list of households, and instructed to visit each household, starting with the first household on the list, to invite them for enrollment in the study, ask an eligible adult representative to provide informed consent, and administer the household survey. If households were absent, no eligible adult respondent was available or refused to consent, or upon further conversation with the household it became apparent that the household was not eligible (e.g., the death of the only child between 1-9 years, the child was actually older than 9 years), the enumerator electronically recorded the information and notified the field supervisor. If the household was absent or no eligible adult was available, the enumerator visited the household three times prior to replacing that household with the next household on the list - after contacting the field supervisor to confirm the replacement. If the household was otherwise ineligible (e.g., refused consent, no children within the targeted age range), the enumerator replaced that household with the next household on the list - after contacting the field supervisor to confirm the replacement.
Field Procedures:
During the household surveys, enumerators sought out adult (i.e., person over the age of 18 years who was capable of understanding and undergoing the informed consent process) respondents within selected households, with preference going first to the primary female caretaker of the index child (i.e., the youngest child between the ages of 1-9 years residing in the household), as she would tend to know the most about the latrine use, defecation, and personal hygiene practices of most members of her household. If she was not available, enumerators sought out other household members in the following order: eldest available female caretaker, eldest available female household member, eldest available male caretaker, or eldest available male household member. All household members present during survey administration were asked to self-report on their own sanitation and hygiene habits, and hand cleanliness and facial and hand cleanliness were assessed for the primary survey respondent and all children under the age of ten years, respectively. If, after three attempts at a household, no eligible adult respondent was available or agreed to consent to participate in the study, the household was replaced by the next randomly selected household in the gott.
1,472 respondents in the endline from 1,589 at baseline implies a 93% response rate at endline.
We did not use sample weights in our analyses, and our final analyses are not meant to be representative of the larger Bahir Dar Zuria, Fogera, and Farta woredas. We randomly selected and assigned our 50 study kebeles using a stratified selection approach (at the woreda level), but we purposively selected gotts, from which we randomly selected study households.
We administered the same survey instruments at baseline, midline, and endline. The household survey consisted of several modules aimed at collecting data on key outcome indicators through reports from respondents and other household members. The modules included are: a household enumeration module, a water module, a hygiene module, a mental health indicator module, an animal husbandry and reported waste management module, a latrine information module, a behavioral antecedent survey module, a sanitation insecurity module, a collective efficacy module, a discrete choice experiment module, and a household assets and wealth indicator module.
The questionnaires are provided both in English and Amharic and are available for download.
Start | End | Cycle |
---|---|---|
2017-03-01 | 2017-04-30 | Baseline |
2018-03-01 | 2018-04-30 | Midline |
2019-03-01 | 2019-05-31 | Endline |
Name |
---|
Field team of 18 enumerators |
To ensure data quality, the supervisory team, comprised of faculty and staff from Emory University and Emory Ethiopia, coordinated and supervised data collection along with field supervisors. Field supervisors duplicated data entry on all objective measures at 10% of households in each study kebele. The Andilaye team analyzed the resulting data to determine inter-rater reliability of related metrics.
Tool Development:
When developing the survey instrument, the Andilaye team pulled from its reserve of existing WASH and NTD survey instruments, and leveraged formative research data to contextually adapt the survey prompts and answer choices. To the greatest extent possible, the team included validated metrics for assessment. Prior to enumerator training, the Andilaye survey instrument was translated into Amharic, and back-translated by two independent Amharic speakers. The team discussed any discrepancies noted between the intended English prompts and the Amharic translations (identified via the back-translations). Survey prompts were revised accordingly. In order to ensure face validity, the vast majority of the survey instrument was tested via cognitive interviews. Through the use of this qualitative method, which included a ‘think-aloud’ technique, the Andilaye team obtained feedback from formative research households about the meaning, comprehensiveness, and appropriateness of survey prompts and their related answer choices. Once the Amharic version of the tool was complete, four enumerators were trained on the tool, and brought on to conduct a week-long field pilot in targeted formative research communities. At the end of each day of piloting, the team discussed issues related to respondent comprehension of survey prompts and answer choices, survey logic and skip patterns, and suggested revisions. At the end of the piloting period, key data were checked and analyzed, and related modifications were made to the tool prior to finalizing for supervisor and enumerator training.
Training:
Prior to engaging with the full team of 18 enumerators (two of whom were involved in the piloting phase), senior research staff oriented three field supervisors (two of whom were involved in the piloting phase) to the Andilaye project, their roles and responsibilities as supervisors, field and debriefing check-lists, and the supervisor validation survey (i.e., a sub-set of the survey). The supervisors were also involved in the enumerator training, so they received additional information on the survey tool during that time so as to ensure the entire enumeration team had the same understanding of the survey prompts.
Subsequent to enumerator recruitment, senior research staff conducted a training with enumerators that included topics related to research ethics, rights and protection of research participants, the informed consent process, data collection tools and procedures, and the use of electronic mobile data collection applications. The training was conducted in both English and Amharic (i.e., some more technical topics were first presented in English, but to ensure thorough comprehension among the enumeration team, were also summarized in Amharic immediately after the English explanation was presented). In order to ensure enumerators had a thorough understanding of the survey instrument, senior staff facilitated a group training and discussion with all enumerators. After the purpose and meaning of each prompt and set of answer choices had been discussed, enumerators broke out into teams of two to practice administering the survey. Upon the conclusion of the office-based practice session, the team came back together to discuss any questions, concerns, or suggested revisions. Only after that point did the entire enumeration team move to the field for piloting. Survey piloting occurred iteratively, with an initial visit to the field, followed by revisions to the survey, and a subsequent day of piloting. Prior to the initial collection of official survey data, all enumerator and supervisor survey concerns had been resolved. Trainings on data collection tools and field procedures included discussion among all field supervisors and enumerators to ensure a standardized approach to data collection via household surveys and structured observation. Pilot testing of the instrument ensured enumerators were familiar and comfortable with the survey prior to official baseline data collection, while also allowing senior research staff to check that the instrument was an appropriate tool for collecting desired data.
Quality Assurance:
Field data were captured electronically on password-protected mobile phones (stored securely when not in use) to improve accuracy of data entry and enable immediate review of results. Logic, range, and consistency checks were incorporated into the electronic data collection file to further improve data quality and minimize data entry errors.
Other Data Collection-Related Details:
Enumerators were native Amharic-speakers, who administered the surveys in Amharic (the local dialect spoken in our study clusters). On average, the survey took 45 minutes to 1 hour to administer, depending on the size of the household.
World Bank Microdata Library
Name | Affiliation |
---|---|
Meyhar Mohammed LNU | The World Bank Group |
2023-05-03
Name | Affiliation | URL | |
---|---|---|---|
Strategic Impact Evaluation Fund | The World Bank Group | https://www.worldbank.org/en/programs/sief-trust-fund | siefimpact@worldbank.org |
Aidan Coville | The World Bank Group | acoville@worldbank.org | |
Matthew C. Freeman | Emory University | matthew.freeman@emory.edu |
Public Access
Use of the dataset must be acknowledged using a citation which would include:
Example:
Matthew C. Freeman (Emory University, Rollins School of Public Health, Department of Environmental Health) and Abebe Gebremariam Gobezayehu (Emory Ethiopia). Ethiopia - The Impact and Sustainability of Community-Led Total Sanitation and Hygiene (CLTSH) 2017-2019. Ref: ETH_2017-2019_ISCLTSH-IE_v01_M. Dataset downloaded from [URL] on [date].
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.
Name | Affiliation | |
---|---|---|
Strategic Impact Evaluation Fund | The World Bank Group | siefimpact@worldbank.org |
Matthew C. Freeman | Emory University | matthew.freeman@emory.edu |
Aidan Coville | The World Bank Group | acoville@worldbank.org |
DDI_ETH_2017-2019_ISCLTSH-IE_v01_M_WB
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
Development Economics Data Group | DECDG | The World Bank Group | Documentation of the study |
2023-08-01
Version 01 (August 2023)
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