Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.
Adolescent
Adult
Bangladesh
/ epidemiology
Female
Forecasting
Hospitals, Public
/ organization & administration
Humans
Latent Class Analysis
Machine Learning
Male
Middle Aged
Models, Statistical
Patient Acceptance of Health Care
Patient Satisfaction
Personal Satisfaction
Rural Health Services
/ organization & administration
Rural Population
Surveys and Questionnaires
Telemedicine
/ methods
Young Adult
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2021
2021
Historique:
received:
07
12
2020
accepted:
29
08
2021
entrez:
24
9
2021
pubmed:
25
9
2021
medline:
15
12
2021
Statut:
epublish
Résumé
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural public hospitals settings in Bangladesh through the adaptation of Expectation Disconfirmation Theory extended by Social Cognitive Theory. This research advances a theoretically sustained prediction model forecasting patients' satisfaction with telemedicine to enable informed decision making. A research model explores four potential antecedents: expectations, performance, disconfirmation, and enjoyment; that significantly contribute to predicting patients' satisfaction concerning telemedicine adoption in Bangladesh. This model is validated using two-staged structural equation modeling and artificial neural network approaches. The findings demonstrate the determinants of patients' satisfaction with telemedicine. The presented model will assist medical practitioners, academics, and information systems practitioners to develop high-quality decisions in the future application of telemedicine. Pertinent implications, limitations and future research directions are endorsed securing long-term telemedicine sustainability.
Identifiants
pubmed: 34559840
doi: 10.1371/journal.pone.0257300
pii: PONE-D-20-38520
pmc: PMC8462681
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0257300Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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