Literature DB >> 21844171

Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model.

Estibalitz Orruño1, Marie Pierre Gagnon, José Asua, Anis Ben Abdeljelil.   

Abstract

We examined the main factors affecting the intention of physicians to use teledermatology using a modified Technology Acceptance Model (TAM). The investigation was carried out during a teledermatology pilot study conducted in Spain. A total of 276 questionnaires were sent to physicians by email and 171 responded (62%). Cronbach's alpha was acceptably high for all constructs. Theoretical variables were well correlated with each other and with the dependent variable (Intention to Use). Logistic regression indicated that the original TAM model was good at predicting physicians' intention to use teledermatology and that the variables Perceived Usefulness and Perceived Ease of Use were both significant (odds ratios of 8.4 and 7.4, respectively). When other theoretical variables were added, the model was still significant and it also became more powerful. However, the only significant predictor in the modified model was Facilitators with an odds ratio of 9.9. Thus the TAM was good at predicting physicians' intention to use teledermatology. However, the most important variable was the perception of Facilitators to using the technology (e.g. infrastructure, training and support).

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Year:  2011        PMID: 21844171     DOI: 10.1258/jtt.2011.101101

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  21 in total

1.  Using a modified technology acceptance model to evaluate healthcare professionals' adoption of a new telemonitoring system.

Authors:  Marie Pierre Gagnon; Estibalitz Orruño; José Asua; Anis Ben Abdeljelil; José Emparanza
Journal:  Telemed J E Health       Date:  2011-11-14       Impact factor: 3.536

2.  Understanding the mediating effects of relationship quality on technology acceptance: an empirical study of e-appointment system.

Authors:  Shih-Chih Chen; Shih-Chi Liu; Shing-Han Li; David C Yen
Journal:  J Med Syst       Date:  2013-10-19       Impact factor: 4.460

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

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

4.  Evaluating acceptance and user experience of a guideline-based clinical decision support system execution platform.

Authors:  David Buenestado; Javier Elorz; Eduardo G Pérez-Yarza; Ander Iruetaguena; Unai Segundo; Raúl Barrena; Juan M Pikatza
Journal:  J Med Syst       Date:  2013-02-03       Impact factor: 4.460

5.  Acceptance of Teledermoscopy by General Practitioners and Dermatologists in Denmark.

Authors:  Tine Vestergaard; Merethe K Andersen; Anette Bygum
Journal:  Dermatol Pract Concept       Date:  2021-04-12

6.  Adoption of telemedicine: from pilot stage to routine delivery.

Authors:  Paolo Zanaboni; Richard Wootton
Journal:  BMC Med Inform Decis Mak       Date:  2012-01-04       Impact factor: 2.796

7.  Healthcare professional acceptance of telemonitoring for chronic care patients in primary care.

Authors:  José Asua; Estibalitz Orruño; Eva Reviriego; Marie Pierre Gagnon
Journal:  BMC Med Inform Decis Mak       Date:  2012-11-30       Impact factor: 2.796

8.  Factors relating to home telehealth acceptance and usage compliance.

Authors:  Rachael Wade; Colleen Cartwright; Kelly Shaw
Journal:  Risk Manag Healthc Policy       Date:  2012-04-20

9.  The views of health-care personnel about video consultation prior to implementation in primary health care in rural areas.

Authors:  Annette M Johansson; Inger Lindberg; Siv Söderberg
Journal:  Prim Health Care Res Dev       Date:  2013-02-12       Impact factor: 1.458

10.  Questionnaire survey about use of an online appointment booking system in one large tertiary public hospital outpatient service center in China.

Authors:  MinMin Zhang; CongXin Zhang; QinWen Sun; QuanCai Cai; Hua Yang; YinJuan Zhang
Journal:  BMC Med Inform Decis Mak       Date:  2014-06-09       Impact factor: 2.796

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