Evidence map›Paper›PMID 32218310›Full record

ArticleInternational journal of environmental research and public health2020

Validation of a Short Questionnaire to Assess Healthcare Professionals' Perceptions of Asynchronous Telemedicine Services: The Catalan Version of the Health Optimum Telemedicine Acceptance Questionnaire.

Josep Vidal-Alaball, Gemma Flores Mateo, Josep Lluís Garcia Domingo, Xavier Marín Gomez, Glòria Sauch Valmaña, Anna Ruiz-Comellas, Francesc López Seguí, Francesc García Cuyàs

Open access · goldAbstract readValidation Study
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  10. Tele-Otolaryngology at a Tertiary Care Center in North India During COVID-19 Pandemic Lockdown: A Validated Patient Feedback Questionnaire Based Study.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2022
    Article
  11. Article
  12. Validation Study of a Value-Based Digital Health Questionnaire.International journal of environmental research and public health · 2022
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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

8 authors at 5 institutions in 1 country.

Josep Vidal-AlaballHealth Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Sant Fruitós de Bages, Spain.
Gemma Flores MateoUnitat D'anàlisi i Qualitat, Xarxa Sanitària i Social de Santa Tecla, 43003 Tarragona, Spain.
Josep Lluís Garcia DomingoDepartment of Economics and Business, Universitat de Vic-Universitat Central de Catalunya, 08500 Vic, Spain.
Xavier Marín GomezHealth Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Sant Fruitós de Bages, Spain.
Glòria Sauch ValmañaHealth Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Sant Fruitós de Bages, Spain.
Anna Ruiz-ComellasHealth Promotion in Rural Areas Research Group, Gerència Territorial de la Catalunya Central, Institut Català de la Salut, 08272 Sant Fruitós de Bages, Spain.
Francesc López SeguíTIC Salut Social - Generalitat de Catalunya, 08005 Barcelona, Spain.
Francesc García CuyàsHospital Sant Joan de Déu, Digital Care Research Group, Universitat de Vic-Universitat Central de Catalunya, 08500 Vic, Spain.
Universitat de Vic - Universitat Central de Catalunya · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ESGeneralitat de Catalunya · ESHospital Sant Pau i Santa Tecla · ESInstitut Català de la Salut · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine is both effective and able to provide efficient care at a lower cost. It also enjoys a high degree of acceptance among users. The Technology Acceptance Model proposed is based on the two main concepts of ease of use and perceived usefulness and is comprised of three dimensions: the individual context, the technological context and the implementation or organizational context. At present, no short, validated questionnaire exists in Catalonia to evaluate the acceptance of telemedicine services amongst healthcare professionals using a technology acceptance model. This article aims to statistically validate the Catalan version of the EU project Health Optimum telemedicine acceptance questionnaire. The study included the following phases: adaptation and translation of the questionnaire into Catalan and psychometric validation with construct (exploratory factor analysis), consistency (Cronbach's alpha) and stability (test-retest) analysis. After deleting incomplete responses, calculations were made using 33 participants. The internal consistency measured with the Cronbach's alpha coefficient was good with an alpha coefficient of 0.84 (95%, CI: 0.79-0.84). The intraclass correlation coefficient was 0.93 (95% CI: 0.852-0.964). The Kaiser-Meyer-Olkin test of sampling showed to be adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl = 28;

Indexed as

Attitude of Health PersonnelSurveys and QuestionnairesTelemedicineTranslationsFactor Analysis, StatisticalHealth PersonnelHumansLanguagePsychometricsReproducibility of ResultsSpainhealth personnelquestionnaires and surveystelemedicinevalidation studies

Identifiers

PMID32218310
PMCPMC7178015
OpenAlexW3013037906

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.