Evidence map›Paper›PMID 30112741›Full record

SynthesisApplied clinical informatics2018

A Systematic Review of the Technology Acceptance Model in Health Informatics.

Bahlol Rahimi, Hamed Nadri, Hadi Lotfnezhad Afshar, Toomas Timpka

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Applied clinical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05318651 (Determinants of Use of Mobile Apps for Smoking Cessation), which is not on this map. Cited by 266 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
266citing papers in PubMed, 13 pooled it
–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.

NCT05318651 nacompletednot on this mapstarted 2022, after this paper: background citation

Determinants of Use of Mobile Apps for Smoking Cessation

TypeinterventionalSponsorParis Nanterre UniversityRan2022 to 2022Enrolled255ConditionsSmoking Cessation, Technology Acceptance Model, CBT, EngagementArmsKwit SAS - smoking cessation app
3 · Its place in the literature

Who cites it

266 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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206 more citing papers are in PubMed but not listed here.

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.

Bahlol RahimiDepartment of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
Hamed NadriDepartment of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
Hadi Lotfnezhad AfsharDepartment of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
Toomas TimpkaDepartment of Computer and Information Sciences, Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM).

objectiveThis article reviews published research on TAM use in health information systems development and implementation with regard to application areas and model extensions after its initial introduction.

methodAn electronic literature search supplemented by citation searching was conducted on February 2017 of the Web of Science, PubMed, and Scopus databases, yielding a total of 492 references. Upon eliminating duplicates and applying inclusion and exclusion criteria, 134 articles were retained. These articles were appraised and divided into three categories according to research topic: studies using the original TAM, studies using an extended TAM, and acceptance model comparisons including the TAM.

resultsThe review identified three main information and communication technology (ICT) application areas for the TAM in health services: telemedicine, electronic health records, and mobile applications. The original TAM was found to have been extended to fit dynamic health service environments by integration of components from theoretical frameworks such as the theory of planned behavior and unified theory of acceptance and use of technology, as well as by adding variables in specific contextual settings. These variables frequently reflected the concepts subjective norm and self-efficacy, but also compatibility, experience, training, anxiety, habit, and facilitators were considered.

conclusionTelemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.

Indexed as

Attitude to ComputersMedical InformaticsHumans

Identifiers

PMID30112741
PMCPMC6094026

What OpenQuestion holds

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Registered trials

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.