Literature DB >> 19180373

Physician adoption of personal digital assistants (PDA): testing its determinants within a structural equation model.

Arun Vishwanath1, Linda Brodsky, Steve Shaha.   

Abstract

Research has begun to explore the determinants of personal digital assistant (PDA) adoption in health care. Much of this research has, however, been inconsistent in its treatment of key constructs and its methodological approaches. The current study takes a stricter approach and tracks the pre- and postadoption beliefs of physicians provided with an actual PDA within a single health care facility in the United States. Results show that age, position in hospital, beliefs about health IT, and cluster ownership are significant, direct predictors of the physician's preadoption beliefs about PDAs. Contrary to prior research findings, both ease of use and usefulness perceptions significantly influenced the physician's intent to adopt PDAs. More important, results show that physicians focus on a broader range of PDA factors during preadoption assessment of the technology, while actual use is based solely on the PDA's ease of use. Moreover, the preadoption usefulness perceptions do not influence postadoption usefulness. Hence, the cognitive and affective determinants of intent to use are seemingly different from those used to evaluate PDA use.

Mesh:

Year:  2009        PMID: 19180373     DOI: 10.1080/10810730802592270

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  4 in total

Review 1.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

2.  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

3.  Interpretive flexibility in mobile health: lessons from a government-sponsored home care program.

Authors:  Jeppe Agger Nielsen; Lars Mathiassen
Journal:  J Med Internet Res       Date:  2013-10-30       Impact factor: 5.428

4.  What Motivates Chinese Young Adults to Use mHealth?

Authors:  Wai-Ming To; Peter K C Lee; Jinxuan Lu; Junhao Wang; Yihan Yang; Qingxin Yu
Journal:  Healthcare (Basel)       Date:  2019-12-02
  4 in total

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