Evidence map›Paper›PMID 40055948›Full record

ArticleNursing open2025

Adoption of McKinsey 7s Model in Development of Strategies to Enhance the Utilisation of Digital Health in Early Detection and Treatment of Pre-Eclampsia by Gravid Women at the Rural Context: Mixed-Method Study.

Mxolisi Welcome Ngwenya, Livhuwani Muthelo, Tebogo Maria Mothiba

Abstract read
In one paragraph

Article in Nursing open, 2025. 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
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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.

Mxolisi Welcome NgwenyaDepartment of Nursing Science, University of Limpopo, Polokwane, Limpopo, South Africa.ORCID https://orcid.org/0000-0002-0524-0033
Livhuwani MutheloDepartment of Nursing Science, University of Limpopo, Polokwane, Limpopo, South Africa.ORCID https://orcid.org/0000-0001-5672-1702
Tebogo Maria MothibaFaculty of Health Science, University of Limpopo, Polokwane, Limpopo, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo develop evidence-based strategies to enhance digital health use in the early detection and treatment of pre-eclampsia by pregnant women in primary healthcare facilities in a South African context.

designThe mixed convergent parallel design was used for the main study. The quantitative and qualitative data analysed served as the basis for this study.

methodsThe McKinsey 7s model was used to guide the development of evidence-based strategies to enhance the utilisation of digital health in early detection and treatment of pre-eclampsia by gravid women within a mixed convergent parallel research design.

resultsSix evidence-based strategies were developed. The strategies focused on improving knowledge, training and professional development, awareness and validation of digital health. PUBLIC CONTRIBUTION: Although the study focused in the primary healthcare facilities in Mpumalanga province, the evidence-based strategies developed promote the breaking of the status quo in current practice. Integration of traditional clinical practice and digital health practice could possibly improve the quality of care received by gravid women and most likely, improve the knowledge of the gravid women with regard to their conditions. Furthermore, their implementation could possibly improve the proper practicing and implementation of digital health in clinical practice.

Indexed as

Early DiagnosisPre-EclampsiaAdultDigital HealthFemaleHumansPregnancyPrimary Health CareQualitative ResearchRural PopulationSouth AfricaTelemedicinedigital healthearly detectiongravid and pre‐eclampsiatreatment

Identifiers

PMID40055948
PMCPMC11889412

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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.