Evidence map›Paper›PMID 32293569›Full record

ArticleJournal of medical Internet research2020

The French eHealth Acceptability Scale Using the Unified Theory of Acceptance and Use of Technology 2 Model: Instrument Validation Study.

Meggy Hayotte, Pierre Thérouanne, Laura Gray, Karine Corrion, Fabienne d'Arripe-Longueville

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

5 authors.

Meggy HayotteLaboratoire Motricité Humaine Expertise Sport Santé, Université Côte d'Azur, Nice, France.ORCID 0000-0003-3418-3485
Pierre ThérouanneLaboratoire d'Anthropologie et de Psychologie Cliniques, Cognitives et Sociales, Université Côte d'Azur, Nice, France.ORCID 0000-0001-5238-3275
Laura GrayLaboratoire Motricité Humaine Expertise Sport Santé, Université Côte d'Azur, Nice, France.ORCID 0000-0001-8194-5812
Karine CorrionLaboratoire Motricité Humaine Expertise Sport Santé, Université Côte d'Azur, Nice, France.ORCID 0000-0001-8672-4955
Fabienne d'Arripe-LonguevilleLaboratoire Motricité Humaine Expertise Sport Santé, Université Côte d'Azur, Nice, France.ORCID 0000-0002-1176-3279

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnology-based physical activity suggests new opportunities for public health initiatives. Yet only 45% of technology interventions are theoretically based, and the acceptability mechanisms have been insufficiently studied. Acceptability and acceptance theories have provided interesting insights, particularly the unified theory of acceptance and use of technology 2 (UTAUT2). In several studies, the psychometric qualities of acceptability scales have not been well demonstrated.

objectiveThe aim of this study was to adapt the UTAUT2 to the electronic health (eHealth) context and provide a preliminary validation of the eHealth acceptability scale in a French sample.

methodsIn line with the reference validation methodologies, we carried out the following stages of validating the scale with a total of 576 volunteers: translation and adaptation, dimensionality tests, reliability tests, and construct validity tests. We used confirmatory factor analysis to validate a 22-item instrument with 7 subscales: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit.

resultsThe dimensionality tests showed that the bifactor confirmatory model presented the best fit indexes: χ

conclusionsThe 22-item French-language eHealth acceptability scale, divided into 7 subscales, showed good psychometric qualities. This scale is thus a valid and reliable tool to assess the acceptability of eHealth technology in French-speaking samples and offers promising avenues in research, clinical practice, and marketing.

Indexed as

AdolescentAdultFactor Analysis, StatisticalFemaleFranceHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesTelemedicineYoung Adultacceptabilityfactor analysis, statisticalsurveys and questionnairestelemedicinevalidation study

Identifiers

PMID32293569
PMCPMC7191343

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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.