Integrating Socio-Economic and Environmental Interventions to Improve Well-Being in Vulnerable Communities

Last registered on April 16, 2024

Pre-Trial

Trial Information

General Information

Title
Integrating Socio-Economic and Environmental Interventions to Improve Well-Being in Vulnerable Communities
RCT ID
AEARCTR-0013370
Initial registration date
April 14, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
April 16, 2024, 3:26 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
Cornell University

Other Primary Investigator(s)

PI Affiliation
University of Notre Dame
PI Affiliation
University of Notre Dame
PI Affiliation
Mathematica
PI Affiliation
Cornell University
PI Affiliation
Station d'Inovation Aquacole
PI Affiliation
EPLS
PI Affiliation
CRDES
PI Affiliation
Universite Gaston Berger
PI Affiliation
Universite Gaston Berger
PI Affiliation
EPLS
PI Affiliation
University of Notre Dame
PI Affiliation
IFPRI
PI Affiliation
University of Copenhagen

Additional Trial Information

Status
On going
Start date
2023-12-10
End date
2026-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Schistosomiasis, the second most socioeconomically-burdensome neglected tropical disease globally, is caused by snail-transmitted flatworms that penetrate human skin. It originates in the aquatic ecology of rural communities, defies control efforts, reinforces poverty, and damages children’s health and education advancement because even when provided drugs to clear the infections, humans quickly get re-infected when they return to snail-infested waterbodies. A newly-identified solution synergistically leverages feedback in socio-environmental systems through targeted aquatic vegetation harvest at community water access points where most infections occur (Rohr et al., Nature, 2023). The next challenge is how to scale and sustain that solution. If successful, the low-cost, information-based design this project tests can provide a model for community-based solutions to similar poverty-disease traps worldwide. This project implements a randomized controlled trial and field experiments with human subjects in northern Senegal (west Africa), coupled with longitudinal collection of household survey, ecological and human health data. The objective is to evaluate whether education on the public health and/or private economic benefits of vegetation removal can effectively scale and sustain ecologically non-disruptive aquatic vegetation harvest and thereby suppress schistosomiasis infection and boost agricultural productivity and well-being in rural communities. The project also monitors whether these interventions inadvertently induce unintended ecological or social spillover effects and whether the benefits of vegetation removal are distributed towards the relatively poor or better-off households.
External Link(s)

Registration Citation

Citation
Allen, James et al. 2024. "Integrating Socio-Economic and Environmental Interventions to Improve Well-Being in Vulnerable Communities." AEA RCT Registry. April 16. https://doi.org/10.1257/rct.13370-1.0
Sponsors & Partners

Sponsors

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Experimental Details

Interventions

Intervention(s)
Our intervention entails a roughly two-hour information session delivered to 10 randomly selected households in each village in the three information treatment arms (arms A, B and C). The information session consists of a standardized educational video - produced and delivered in the local languages, Wolof and Pulaar – that describes the water-access and schistosomiasis-reduction benefits of vegetation removal (“public health benefits”) or the crop productivity and profit benefits of vegetation removal (“private benefits”), respectively, in treatment arms A and B. Both educational videos are shown to participants in the third treatment (arm C), thereby combining the public health and private benefits information treatments to create a full 2x2 BACI design. Each training video also includes instruction about appropriate precautions to take to protect oneself from infection when clearing vegetation by wearing personal protection equipment (PPE). Participants are given an opportunity and trained in how to properly don the PPE during the session. In addition, those receiving the private benefits information session are also trained on how to effectively convert the vegetation to compost and use the compost for crop production.

In addition to the educational video, experts will be present to answer questions and foster discussion among attendees and a local farmer with experience using compost created from CR will be present to attest to the benefits in the private benefits arm, and a public health expert will attend the public benefits arm to answer questions and foster discussion among attendees. We will also provide two sets of personal protective equipment (namely, a pitchfork, chest waders with boots, and full-length gloves) to be shared among each group of 10 attendees in each information session. Lastly, we will give each information treatment participant a short questionnaire to assess understanding of the benefits, risks and methods of harvesting aquatic vegetation, use for compost (if applicable), and personal protection. Before they depart the training session, each participant is provided with a laminated handout to be taken home to remind them of the value of aquatic vegetation removal. We also follow up with monthly reminders via mobile phone messages for one year after the treatment, conveyed through the village relais communautaires (relays) - community contacts established for a range of purposes for communicating with government and outside nongovernmental agencies – or another individual designated by the group of 10 participants at the time of training. Each of the relays is given air time credit of FCFA5,000 (just over US$8) each month to cover their messaging costs. At endline, we will share information on both the private and public benefits with all sample households.
Intervention Start Date
2024-04-22
Intervention End Date
2024-05-15

Primary Outcomes

Primary Outcomes (end points)
Household-level cerato removal and water point-level cerato removal; agricultural productivity; schistosomiasis infections
Primary Outcomes (explanation)
See pre-analysis plan for full details

Secondary Outcomes

Secondary Outcomes (end points)
See pre-analysis plan for full details
Secondary Outcomes (explanation)
See pre-analysis plan for full details

Experimental Design

Experimental Design
See pre-analysis plan for full details
Experimental Design Details
Not available
Randomization Method
randomization done by computer
Randomization Unit
households randomized into treatment within a village cluster (there are local control households within the treated villages, as well as pure control villages where no household gets treated).
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
104 villages
Sample size: planned number of observations
2,080 individual households
Sample size (or number of clusters) by treatment arms
10 treated households per treatment arm-village x 26 villages by treatment arm = 260 households treated per treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
see pre-analysis plan
Supporting Documents and Materials

Documents

Document Name
Full pre-analysis plan with outcomes, design, survey instruments, etc.
Document Type
other
Document Description
File
Full pre-analysis plan with outcomes, design, survey instruments, etc.

MD5: 899b430b68edb578d6338a642c438fa1

SHA1: ff5f550560eba1467d33e8751f9652a6a83cc83a

Uploaded At: April 14, 2024

IRB

Institutional Review Boards (IRBs)

IRB Name
Cornell University
IRB Approval Date
2024-11-30
IRB Approval Number
IRB0010544 (2109010544)
Analysis Plan

Analysis Plan Documents

Pre-Analysis Plan Filed April 2024.pdf

MD5: 899b430b68edb578d6338a642c438fa1

SHA1: ff5f550560eba1467d33e8751f9652a6a83cc83a

Uploaded At: April 14, 2024