Evidence map›Paper›PMID 34969058›Full record

ArticlePloS one2021

Development and psychometric testing of a new measure of the determinants that influence the adoption of WhatsApp in hospitals.

Anna De Benedictis, Emanuele Lettieri, Michela Piredda, Raffaella Gualandi, Maddalena De Maria, Daniela Tartaglini

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

6 authors.

Anna De BenedictisDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, Rome, Italy.ORCID 0000-0001-8655-0895
Emanuele LettieriDepartment of Economics, Management and Industrial Engineering, Politecnico of Milan, Milan, Italy.
Michela PireddaDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, Rome, Italy.
Raffaella GualandiDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, Rome, Italy.ORCID 0000-0001-8602-5249
Maddalena De MariaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
Daniela TartagliniDepartment of Healthcare Professions, Campus Bio-Medico of Rome University Hospital, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare contexts are witnessing a growing use of applications to support clinical processes and to communicate between peers and with patients. An increasing number of hospital professionals use instant-messaging applications such as WhatsApp in their daily work. Previous research has mainly focused on the advantages and risks of WhatsApp usage in different clinical settings, but limited evidence is available about whether and how individual and organizational determinants can influence the use of WhatsApp in hospitals. Moreover, instruments to explore this phenomenon are lacking. A theoretical four-factor model based on the 'Technology Acceptance Model' and the Institutional Theory, guided the development of a new measure of the individual and institutional determinants of WhatsApp usage in hospitals.

aimTo develop and psychometrically test the questionnaire 'Digital Innovation Adoption in Hospitals'.

methodA panel of researchers and clinical experts generated an initial pool of 35 items by identifying and adapting items from existing measures. These items were assessed for content and face validity by fourteen experts. The final 28-item 'Digital Innovation Adoption in Hospitals' questionnaire comprising four sections (Perceived risks, Perceived usefulness, Regulative factors and Normative factors) was administered online to nurses and physicians. Construct validity was tested through confirmatory factor analysis.

resultsThe sample included 326 hospital nurses and physicians. The theoretical four-factors model was confirmed and the confirmatory factor analysis yielded acceptable fit indexes. The correlations between the factors were significant and ranged from -0.284 to 0.543 (p < .01). Reliability in terms of internal consistency was satisfactory with Cronbach's alpha coefficient ranging from 0.918-0.973.

conclusionThis study is the first to provide a validated tool to evaluate the use of WhatsApp in hospitals. The new instrument shows reasonable psychometric properties and is a promising and widely applicable measure of factors that influence the use of WhatsApp in hospitals.

Indexed as

PsychometricsSocial MediaAdultAttitude of Health PersonnelCross-Sectional StudiesEuropeFactor Analysis, StatisticalFemaleHospitalsHumansMaleMiddle AgedNursesOrganizationsPhysiciansReproducibility of Results

Identifiers

PMID34969058
PMCPMC8717971

What OpenQuestion holds

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Registered trials

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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.