Evidence map›Paper›PMID 42682786›Full record

ArticleFrontiers in health services2026

From data collection to action: environmental health information management practices in eleven municipalities in the east coast of South Africa.

Siphesihle Siyamukela Masimula, Mpinane Flory Senekane, Nisha Naicker

Abstract read
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Siphesihle Siyamukela MasimulaDepartment of Environmental Health, Faculty of Applied and Health Sciences, Mangosuthu University of Technology, Umlazi, South Africa.
Mpinane Flory SenekaneDepartment of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Nisha NaickerDepartment of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The availability of reliable information in the delivery of environmental health services (EHS) is crucial to identifying environmental health threats in communities and deploying targeted interventions. This requires environmental health information management practices and systems to be evaluated from time-to-time to bring efficiency and enable continuous improvement for improved public health outcomes. As a result, this study assesses environmental health information management in municipalities that provide EHS in the east coast of South Africa. Methods: A descriptive quantitative cross-sectional study design was employed, combining an online survey of 105 environmental health practitioners (EHPs) and document reviews across 11 municipalities. Descriptive and inferential statistical analyses were conducted through IBM SPSS Statistics. Results: Findings highlight over-reliance on paper-based data management processes, resulting to data duplication (88.6%) and increased workload (90.5%) for EHPs ( Conclusion: Substantial environmental health information management strengthening through digitalisation, improved governance, capacity-building, and stronger quality assurance systems are required. A comprehensive and integrated digital EHIS is needed to improve data quality, information utilisation, and evidence-based environmental health decision-making in South Africa.

Indexed as

decision-makingenvironmental healthenvironmental health information managementenvironmental health servicespublic healthSouth Africa

Identifiers

PMID42682786
PMCPMC13529946

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.