Identifying psychosocial determinants of water, sanitation, and hygiene (WASH) behaviors for the development of evidence-based Baby WASH interventions (REDUCE program).

And hygiene Democratic Republic of the Congo Formative research Psychosocial factors Rural Sanitation Water

Journal

International journal of hygiene and environmental health
ISSN: 1618-131X
Titre abrégé: Int J Hyg Environ Health
Pays: Germany
ID NLM: 100898843

Informations de publication

Date de publication:
09 2021
Historique:
received: 17 06 2021
revised: 15 09 2021
accepted: 15 09 2021
pubmed: 22 10 2021
medline: 9 11 2021
entrez: 21 10 2021
Statut: ppublish

Résumé

Diarrheal disease remains a leading cause of child mortality, globally. In the Democratic Republic of the Congo (DRC), each year there are an estimated 45 million episodes of diarrhea in children under five years of age. The Reducing Enteropathy, Diarrhea, Undernutrition, and Contamination in the Environment (REDUCE) program seeks to develop theory-driven, evidence-based approaches to reduce diarrheal diseases among young children. The REDUCE prospective cohort study in Walungu Territory in Eastern DRC took guidance from the risks, attitudes, norms, abilities, and self-regulation model, the integrated behavioral model for water, sanitation, and hygiene (WASH), and other behavior change theories to identify psychosocial factors associated with WASH behaviors. Psychosocial factors were measured among 417 caregivers at baseline and caregiver responses to child mouthing of dirty fomites and handwashing with soap was assessed by 5-hour structured observation at the 6-month follow-up. Caregivers who agreed that their child could become sick if they put dirt in their mouth (perceived susceptibility) and caregivers that agreed they could prevent their child from playing with dirty things outside (self-efficacy) were significantly more likely to stop their child from mouthing a dirty fomite. Higher perceived susceptibility, self-efficacy, and disgust, and lower dirty reactivity, were associated with higher handwashing with soap behaviors. This study took a theory-driven and evidence-based approach to identify psychosocial factors to target for intervention development. The findings from this study informed the development of the REDUCE Baby WASH Modules that have been delivered to over 1 million people in eastern DRC.

Identifiants

pubmed: 34673353
pii: S1438-4639(21)00165-6
doi: 10.1016/j.ijheh.2021.113850
pii:
doi:

Substances chimiques

Water 059QF0KO0R

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

113850

Informations de copyright

Copyright © 2021. Published by Elsevier GmbH.

Auteurs

Camille Williams (C)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Elizabeth D Thomas (ED)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Jennifer Kuhl (J)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Lucien Bisimwa (L)

Food for the Hungry, Washington, DC, USA.

Nicole Coglianese (N)

Food for the Hungry, Washington, DC, USA.

Sarah Bauler (S)

Food for the Hungry, Washington, DC, USA.

Ruthly François (R)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Ronald Saxton (R)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Presence Sanvura (P)

Food for the Hungry, Washington, DC, USA.

Jean Claude Bisimwa (JC)

Food for the Hungry, Washington, DC, USA.

Patrick Mirindi (P)

Food for the Hungry, Washington, DC, USA.

Jamie Perin (J)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Christine Marie George (CM)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: cmgeorge@jhu.edu.

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Classifications MeSH