Evidence map›Paper›PMID 37077882›Full record

ReviewHealthcare technology letters

Acceptance factors of telemedicine technology during Covid-19 pandemic among health professionals: A qualitative study.

Rouidi Mohammed, Elouadi Abd Elmajid, Hamdoune Amine, Choujtani Khadija

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 20 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

4 authors at 3 institutions in 1 country.

Rouidi MohammedNational School of Applied Sciences Ibn Tofail University Kenitra Morocco.ORCID https://orcid.org/0000-0002-9721-0623
Elouadi Abd ElmajidNational School of Applied Sciences Ibn Tofail University Kenitra Morocco.
Hamdoune AmineFaculty of Economics and Management Hassan 1er University Settat Morocco.
Choujtani KhadijaFaculty of Legal, Economic and Social Sciences Mohammed V University Rabat Morocco.
Université Ibn-Tofail · MAMohammed V University · MAUniversité Hassan 1er · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Health professionals are the main users of telemedicine systems, and their acceptance will contribute to the successful implementation of this technology. The objective of this study is to provide a better understanding of the issues surrounding the acceptance of telemedicine technology by Moroccan health professionals in the public sector, in the preparation for a possible generalization of this technology in Morocco. Method: Following a literature review, the authors mobilized a modified version of the unified model of technology acceptance and use, to explain and understand the determinants of health professionals' intention to accept telemedicine technology. The authors' methodology is based on a qualitative analysis and is primarily based on data obtained through semi-structured interviews with health professionals, who the authors believe are the primary actors in the acceptance of this technology within Moroccan hospitals. Results: The authors' results suggest that performance expectancy, effort expectancy, compatibility, facilitating conditions, perceived incentives, and social influence have a significant positive impact on health professionals' behavioural intention to accept telemedicine technology. Practical implications: From a practical point of view, the results of this study can help the government, organizations responsible for the implementation of telemedicine, and policymakers to understand the key factors that may affect the behaviour of future users of this technology, and to develop very specific strategies and policies for a successful generalization.

Indexed as

acceptance factorshealth professionalsqualitative studytelemedicineUATUT

Identifiers

PMID37077882
PMCPMC10107386
OpenAlexW4323843805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.