Evidence map›Paper›PMID 41767237›Full record

ArticlePLOS water2026

Socioecological drivers of water, sanitation, and hygiene (WASH) choices: A qualitative analysis of maternal perspectives in northwest Ecuador.

Molly K Miller-Petrie, Gwenyth O Lee, Marie L Spiker, Adriana Lupero, Mauricio Ayovi, William Cevallos, Gabriel Trueba, Joseph N S Eisenberg, Karen Levy

Abstract read
In one paragraph

Article in PLOS water, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Molly K Miller-PetrieDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-7493-5915
Gwenyth O LeeRutgers Global Health Institute, Rutgers University, New Brunswick, New Jersey, United States of America.ORCID 0000-0002-7889-3852
Marie L SpikerDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Adriana LuperoInstituto de Microbiología, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador.
Mauricio AyoviInstituto de Microbiología, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador.
William CevallosCentro de Biomedicina, Universidad Central del Ecuador, Quito, Ecuador.
Gabriel TruebaInstituto de Microbiología, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador.
Joseph N S EisenbergDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0001-8019-296X
Karen LevyDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-0968-9401

Funding

Gut microbiome, enteric infections and child growth across a rurual urban gradientR01AI137679 · NIAID · UNIVERSITY OF WASHINGTON · PI EISENBERG, JOSEPH N. S., LEVY, KAREN · 2018 to 2023
$5.3M
Enteric Pathogen Force of Infection among Children using SerologyR01AI162867 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARNOLD, BENJAMIN F · 2021 to 2025
$3.7M
Dynamic modeling of antagonism between enteric infection and undernutritionin infancyK01AI145080 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, GWENYTH O'NEILL · 2020 to 2024
$570k
NIAID NIH HHS K01 AI145080NIAID NIH HHS R01 AI137679NIAID NIH HHS R01 AI162867
6 · The paper itself

Abstract

Household-level water, sanitation, and hygiene (WASH) interventions do not always achieve sustainable uptake. Research that considers WASH within a socioecological framework, where multi-level factors are interconnected in influencing choices, can inform more effective interventions. To understand WASH preferences and priorities under different socioeconomic and community contexts, we conducted in-depth interviews and freelisting activities with 33 mothers of children under age two participating in the ECoMiD study in northwest Ecuador. Data were inductively coded and connected thematically to the socioecological framework. Select survey data from ECoMiD were analyzed to provide additional context. Maternal WASH choices are driven by factors at each level of the framework. Climatic: seasonal flooding decreases the appeal of WASH investments like cisterns, and household wealth facilitates access in times of climatic stress. Geographic: benefits of WASH access via proximity to piped systems are complicated by quality and consistency concerns, while access from proximity to rivers is complicated by labor requirements. Community: local infrastructure dictates individual options for accessing WASH, and local conditions are dictated by national sociopolitical context and policy decisions. Household: consistent, quality piped water for drinking and chores is the most common maternal WASH preference. WASH choices respond to financial and labor constraints. Individual: mothers value time-savings associated with WASH technologies and access. Maternal decision making operates at the terminus of a chain of broader and interconnected socioecological conditions. The burden of obtaining WASH access is greatest for the poorest households with the least community infrastructure, compounded by seasonal conditions. This contextually grounded study draws attention to how socio-spatial, economic, and environmental constraints interact in the Ecuadorian context to shape lived experience. Improving community-level WASH and taking a multisectoral approach to health interventions would better address barriers to WASH access, and support mothers in making WASH-related choices that can ultimately improve child health and wellbeing.

Identifiers

PMID41767237
PMCPMC12948185

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.