Evidence map›Paper›PMID 39512862›Full record

ArticleJamba (Potchefstroom, South Africa)2024

Determinants of WASH programmes adoption in flood-prone Tsholotsho District, Zimbabwe.

Mlamuleli Tshuma, Johannes A Belle, Alice Ncube

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mlamuleli TshumaDisaster Management Training and Education Centre, Faculty of Natural and Agriculture Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-3952-3007
Johannes A BelleDisaster Management Training and Education Centre, Faculty of Natural and Agriculture Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0003-0770-8995
Alice NcubeDisaster Management Training and Education Centre, Faculty of Natural and Agriculture Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0001-7440-5308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increased frequency of floods in different parts of the world due to Climate Change and many countries in Sub-Saharan Africa face WASH challenges which have worsened during flood and drought incidences. Tsholotsho District has been experiencing an increased frequency of floods over the years and WASH situation has continuously deteriorated. To build the resilience of communities, there are so many programmes that have been introduced toaddress WASH challenges. The paper aimed at assessing the various determinants influencing the adoption of WASH programmes in flood prone Tsholotsho District. A quantitative approach was used to collect data from Household heads in wards 5, 6, 7, and 8 using Questionnaires. A total of 218 Questionnaires were administered in all four wards. A Probit regression analysis and Zero-inflated ordered logit regression analysis were then done using Statistical Package for Social Sciences (SPSS). This study revealed that the coefficient of access to treated water, gender, source of water, level of education, and marital status is positive and statistically significant with the adoption of WASH programmes by the household head in the study area. These factors were also revealed to influence the level of adoption of WASH programmes. Contribution: There is a positive and significant relationship between access to safe water, source of water, level of education, gender, age and marital status and WASH programmes. Therefore, there is a need to consider the determinants of the adoption of WASH programmes to effectively build the resilience of communities.

Indexed as

flood hazardlogit regressionprobit regressionresiliencesanitation and hygienewater

Identifiers

PMID39512862
PMCPMC11538458

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.