Evidence map›Paper›PMID 36945351›Full record

ArticleHeliyon2023

Health professional's readiness and factors associated with telemedicine implementation and use in selected health facilities in Ghana.

Nathan Kumasenu Mensah, Godwin Adzakpah, Jonathan Kissi, Richard Okyere Boadu, Obed Uwumbornyi Lasim, Martha Khainde Oyenike, Abigail Bart-Plange, Maxwell Ayindenaba Dalaba, Felix Sukums

Open access · goldFull text read
In one paragraph

Article in Heliyon, 2023. 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
4.9field-weighted citation impact, top 5% of its field
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, 17 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Nathan Kumasenu MensahDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Godwin AdzakpahDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Jonathan KissiDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Richard Okyere BoaduDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Obed Uwumbornyi LasimDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Martha Khainde OyenikeDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Abigail Bart-PlangeDepartment of Health Information Management, School of Allied Health Science, University of Cape Coast, Cape Coast, Ghana.
Maxwell Ayindenaba DalabaInstitute of Health Research, University of Health and Allied Sciences, Ho, Ghana.
Felix SukumsMuhimbili University of Health and Allied Sciences, Box 65001, Dar es Salaam, Tanzania.
University of Cape Coast · GHMuhimbili University of Health and Allied Sciences · TZUniversity of Health and Allied Sciences · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine, which is the practice of medicine using technology to deliver health care remotely, has a low adoption rate in low- and middle-income countries (LMICs). However, the advent of coronavirus disease 2019 (COVID-19) has forced healthcare systems in these settings to begin implementing telemedicine programs. It is unknown how prepared health professionals and the healthcare system are to adopt this technology. Therefore, this study aimed to assess the readiness of health professionals and explore factors associated with telemedicine implementation in Ghana. Methods: A cross-sectional study was conducted in six health facilities between March and August 2021. Convenience sampling was used to select the six health facilities, and the participants were selected randomly for the study. Questionnaires were self-completed by participants. Data was exported into STATA 15.0 for analysis, and appropriate statistical methods were employed. All statistical tests were performed at a significance level of p < 0.05. Results: Of the 613 health professionals involved in the study, about 579 (94.5%) were comfortable using computers, and the majority, 503 (82.1%) of them, had access to computers at the workplace. Health professionals agreed that the measures outlined by the health facilities supported their readiness to use telemedicine for healthcare services. Analysis revealed a statistically significant positive relationship between health facilities' core readiness and health professionals' readiness, with a correlation coefficient (r) of 0.5484 and a p-value<0.0001. Of the factors associated with health professionals' readiness towards telemedicine implementation, facility core readiness, engagement readiness, staff knowledge and attitude readiness showed a statistically significant relationship with health professionals' readiness. Conclusion: The study revealed that health professionals are ready to adopt telemedicine. There was a statistically significant relationship between health facilities' core readiness, engagement readiness, staff knowledge and attitude readiness, and health professionals' readiness. The study identified factors facilitating telemedicine adoption.

Indexed as

eHealth implementationGhanaHealth professionalsLow- and middle- income countries (LMICs)ReadinessTelemedicine

Identifiers

PMID36945351
PMCPMC10022178
OpenAlexW4327750571

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read28
Read underepoch 390

Registered trials

None linked

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.