Sugira Muryango Early Childhood Development Home Visiting Intervention Trial 2017-2019
Public Use File
Rwanda, 2018 - 2019
Get MicrodataIdentification
RWA_2017-2019_SMHVIT_v01_M
Sugira Muryango Early Childhood Development Home Visiting Intervention Trial 2017-2019
Public Use File
| Name | Country code |
|---|---|
| Rwanda | RWA |
Other Household Survey
Clinical data [cli]
Data is collected at 3 levels of observation: the child, the caregiver, and the household.
Each level of analysis has its own data file.
Household_id and timepoint can be used to merge files.
Version
Version 2.1: Edited, cleaned and anonymous dataset for public distribution.
2020-01-20
For each unit of analysis (i.e., Household, Caregiver, Child) these files have been created by merging cleaned de-identified datasets (Version 1). A total of 3 files are provided. These files have been de-identified according to Common Rules standards (https://kb.wisc.edu/sbsedirbs/page.php?id=76643). Files can be merged using subject id, timepoint, and household id. Overview of datasets - Caregiver dataset, Child dataset and Household dataset
Coverage
Selected families in the districts of Rubavu, Nyanza and Ngoma.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Theresa S. Betancourt | Boston College School of Social Work, USA |
| Name | Role |
|---|---|
| FXB Rwanda | Implementation of the program |
| Laterite | Data collection |
| Research Assistants and Post-Doctoral Fellows at Boston College | Preparation of the data files |
| Name |
|---|
| The World Bank Early Learning Partnership |
| The Strategic Impact Evaluation Fund and the Japan Trust |
| USAID Rwanda |
| The Network of European Foundations |
| ELMA Philanthropies |
Sampling
Study sample size includes the following: 1.049 families in total participated in the program. This resulted in 1,498 caregivers and 1,084 children enrolled in the study.
Families’ participation in the VUP and selection into cPW and ePW is determined by governmental policies and was not under the control of the research team. Lists of families participating in the VUP program were obtained from government staff in each district.
Nonoverlapping, geographically defined clusters were created comprising at least 30 families participating in the cPW program or ten families participating in the ePW program, with some clusters containing both ≥30 cPW and ≥10 ePW households. Clusters were formed from one or more contiguous villages such that one CBV could provide services to all participating families in the cluster. Villages within the same cluster were selected to be as close to each other and as far apart from other clusters as possible. Due to the relative scarcity of the ePW families, 100% of clusters containing at least 10 ePW families were sampled for participation in the study. Clusters which contained cPW families (including combined clusters containing ePW families) were randomly sampled for inclusion into our study until we reached our target sample size of ≥1,040 households. Randomization was performed by Laterite and occurred at the cluster level within strata defined by public works type (ePW only, combined ePW/cPW, and cPW only) and geographic sector. Within strata, clusters were assigned random numbers and placed on a ranked list. The first half of clusters on the randomly ranked list were assigned to treatment. In case of an uneven number of clusters per strata, a lottery was used to round the number assigned to treatment up or down. After assignment of the cluster, households were contacted by the data collection contractor and invited to participate in the study. Clusters were retained if at least five families in the cPW strata or at least one family in the ePW strata enrolled and had at least one child aged 6–36 months. We retained 48 ePW-only clusters, 38 ePW/cPW clusters, and 112 cPW-only clusters.
Neither the families nor the enumerators who conducted the assessments knew about a family’s assignment to treatment versus control before they had completed the baseline assessment. All caregivers gave written informed consent for themselves and their eligible children ages 6–36 months.
Household Attrition
Between each wave of data collection, some households moved, declined to participate, or were otherwise not able to be surveyed. During field preparation, 1,062 households were drawn but only 1,054 were eligible to be surveyed at baseline. Five households moved or could not be found so the original baseline household sample was composed of 1,049 households.
At midline, 5 households moved or did not consent to participate, which represents a 0.5% attrition rate with respect to baseline data collection. At endline 8 households moved, could not be located, or did not consent to participate at endline. This represents an attrition rate of 1.2% with respect to baseline data collection and an attrition rate of 0.76% with respect to midline data collection.
Caregiver Attrition
A simple attrition calculation was performed by looking at counts of the “relationship to child” category after filtering out “new caregivers” that were enrolled after the intervention began.
A total of 1498 caregivers were surveyed at baseline (63.68% Mothers, 29.57% Fathers, 6.74% other, e.g., aunt, grandparent, etc.). At midline 1462 caregivers were surveyed, which represents an attrition rate of 2.4% considering only caregivers enrolled at baseline. At endline, 1353 caregivers enrolled at baseline answered the survey. This represents an attrition rate of 9.61% with respect to baseline and 7.38% with respect to midline.
***Note: If a simple count of observation per timepoints is requested in the caregiver dataset, the number of caregivers increases from baseline to endline data collection given the inclusion of new caregivers. There are also some changes in the caregiver type (e.g. some additional caregivers became new endline primary caregivers), so attrition estimates should be interpreted with caution because they depend on several "methodological decisions".
Child Attrition
1084 children were assessed at baseline, 1078 at midline, and 1062 at endline. This yields an attrition rate of 0.55% at midline. At endline the attrition rate is 2.02% with respect to baseline and 1.48% with respect to midline.
Not relevant
Survey instrument
Excel spreadsheets with detailed information about the surveys is provided (for each timepoint) as supplemental materials.
The interviews with caregivers used structured questionnaires based on validated and piloted measures. Caregivers reported on themselves and the primary caregiver (the person who self-identified as knowing the child best, usually the biological mother) also reported on the child. The primary caregiver also reported on the household.
Questionnaire measures:
Caregivers report on the Child:
Questions for the caregiver regarding
Child feeding practices,
Child health
Care seeking for child illness
Child discipline [from MICS]
Child development - Ages and Stages Questionnaire (ASQ)-3
Caregiver Report on Self:
Completed by each primary caregiver in the study household. [If the primary caregiver had an intimate partner, the Caregiver Report on Self was completed by the intimate partner as well. Intimate partner surveys were not considered mandatory for household completion, but every attempt was made to complete this survey with both partners when applicable.]
Family unity
Shared decision making
Early childhood development knowledge [Knowledge and Attitudes: KAP]
Caregiver mental health [depression, anxiety [HSCL] and PTSD [PCL-C]
Caregiver alcohol use [AUDIT]
Daily hardships
Intimate partner violence [from DHS]
Caregiver Report on Household:
Completed by the primary caregiver in each study household or by his or her intimate partner and includes modules regarding the:
Family composition
Household assets
Social protection
Social protection program participation - VUP
Access to financial institutions,health care
Food security and meal frequencies
Water and sanitation
Observational child measures:
Home Observation for Measurement of the Environment (HOME);
Observation of Mother Child Interaction (OMCI.)
Malawi Development Assessment Tool (MDAT): This observation-based assessment was completed by each eligible child in the study household.
Child anthropometric measurements: Measurements of weight, height or length depending on age, and mid-upper arm circumference (MUAC) were taken for each eligible child in the study household.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2018-04-01 | 2018-05-30 | Baseline and post-intervention assessments |
| 2018-08-01 | 2018-09-30 | Midline (immediately post-intervention) evaluations |
| 2019-08-01 | 2019-09-30 | Endline (12-month post intervention) evaluations |
- Computer Assisted Personal Interview [capi]
| Name |
|---|
| Laterite |
Direct child assessments, caregiver questionnaires and home observations were conducted in Kinyarwanda.
Enumerator training for baseline data collection occurred from January 29, 2018 to February 9, 2018. Training for surveys completed at the household included an overview of the study’s objectives and methodology, sampling and replacement strategies, research ethics, the field team’s responsibilities, adverse event reporting and the risk of harm protocol, and a thorough review of the survey instruments. A separate training occurred for those enumerators overseeing the MDAT and collection of Anthropometrics. After the training, an additional day of piloting all measures occurred in the field. A three-day refresher training occurred from April 18 to April 20, 2018. Prior to collection of midline data, a refresher training was held between August 1 and August 8, 2018. As there were no major changes to household survey questions, no pilot was done in advance of midline data collection. A three-day refresher training was also held for the MDAT enumerators and a midline pilot of the MDAT occurred to test for interrater reliability. In preparation for endline data collection, a refresher training was held from August 5th to 9th, 2019.
All questionnaires were tested in pilot intervention research and followed a forward- and back-translation protocol from English to Kinyarwanda (Betancourt et al. 2018).
Data were entered on Android tablets by independent local research assistants blind to intervention status.
References:
Betancourt, T. S., Franchett, E., Kirk, C. M., Brennan, R. T., Rawlings, L., Wilson, B., ... & Ukundineza, C. (2018). Integrating social protection and early childhood development: open trial of a family home-visiting intervention, Sugira Muryango. Early Child Development and Care, 1-17.
Depositor information
| Name |
|---|
| Dr. Jordan Farrar, Associate Director for Research, Research Program on Children and Adversity, Boston College |
Data Access
| Name | Affiliation |
|---|---|
| Dr. Theresa Betancourt, Salem Professor in Global Practice | Boston College |
| Dr. Jordan Farrar, Associate Director for Research | Boston College |
| Dr. Robert Brennan, Research Assistant | Research Program on Children and Adversity, Boston College |
| The Strategic Impact Evaluation Fund | The World Bank |
| Confidentiality declaration text |
|---|
| The data provided in this dataset are all de-identified. However, users must adhere to the conditions outlined in the Licensed category put forth by the World Bank. |
This data is accessible under the Licensed category of access and use and requires that all parties and users adhere to the conditions stated therein.
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:
Theresa S. Betancourt (Boston College School of Social Work, USA). Rwanda - Sugira Muryango Early Childhood Development Home Visiting Intervention Trial 2017-2019, Public Use File (SMHVIT 2017-2019). Ref: RWA_2017-2019_SMHVIT_v01_M. Downloaded from [uri] on [date].
Disclaimer and copyrights
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 | |
|---|---|---|
| Dr. Theresa Betancourt, Salem Professor in Global Practice | Boston College | rpcalab_ssw@bc.edu |
| Dr. Jordan Farrar, Associate Director for Research | Boston College | rpcalab_ssw@bc.edu |
| Dr. Robert Brennan, Research Assistant | Research Program on Children and Adversity, Boston College | rpcalab_ssw@bc.edu |
| The Strategic Impact Evaluation Fund | The World Bank | siefimpact@worldbank.org |
Metadata production
DDI_RWA_2017-2019_SMHVIT_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | World Bank | Documentation of the study |
2023-12-07
Metadata version
Version 01 (2023-12-07)