Evidence map›Paper›PMID 35329197›Full record

ArticleInternational journal of environmental research and public health2022

Prevalence and Correlates of Water, Sanitation, and Hygiene (WASH) and Spatial Distribution of Unimproved WASH in Nepal.

Shalik Ram Dhital, Catherine Chojenta, Tiffany-Jane Evans, Tri Dev Acharya, Deborah Loxton

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  9. Dissecting Water, Sanitation, and Hygiene (WaSH) to Assess Risk Factors for Cholera in Shashemene, Oromia Region, Ethiopia.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
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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

5 authors.

Shalik Ram DhitalCentre for Women's Health Research, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia.
Catherine ChojentaCentre for Women's Health Research, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia.ORCID 0000-0002-2541-4491
Tiffany-Jane EvansHunter Medical Research Institute, New Lambton Heights, NSW 2308, Australia.
Tri Dev AcharyaInstitute of Transportation Studies, University of California Davis, Davis, CA 95616, USA.ORCID 0000-0003-0886-4201
Deborah LoxtonCentre for Women's Health Research, School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to estimate the prevalence and correlation of household levels of water, sanitation, and hygiene (WASH), including the identification of areas where WASH facilities are unimproved in Nepal. The study population was 11,040 household heads, using the data collected in the Nepal Demographic and Health Survey 2016. Logistic regression analysis was performed and crude odds ratios (OR) with 95% confidence intervals (CI) using a 0.05 significance level are presented. Getis-Ord Gi* statistics were used to identify the hot and cold spot areas of unimproved WASH. GPS locations of WASH points were used for spatial analysis. Approximately 95% of households had an improved water source, 84% had improved sanitation facilities, 81% had a fixed place for handwashing, and 47% had soap and water. Education, wealth, and ecology were significantly associated with WASH. The people from the hills were less likely to have an improved water source (OR = 0.32; 95% CI: 0.16-0.64) than those from the plain. Households with a poor wealth index had 78% lower odds of having an improved water source compared to households with a rich wealth index. Respondents from Madhes Province had lower odds (OR = 0.15; 95% CI: 0.08-0.28) and Gandaki Pradesh had the highest odds (OR = 2.92; 95% CI: 1.52-5.61) of having improved sanitation facilities compared to Province 1. Respondents aged 35-44 years had higher odds (OR = 1.16; 95% CI: 1.04-1.29) of having soap and water available compared to those aged 45 years and older. Education and geographical disparities were the factors associated with having reduced access to WASH. These findings suggest the need to focus on advocacy, services, and policy approaches.

Indexed as

SanitationWaterHumansHygieneNepalPrevalenceSoapsWater SupplySoapsWaterhouseholdimprovedNepalspatial distributionunimprovedWASH

Identifiers

PMID35329197
PMCPMC8950620

What OpenQuestion holds

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Registered trials

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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.