Related Experiment Video
Updated: Jun 18, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
Published on: April 12, 2021
Application of the Extended Technology Acceptance Model in predicting pharmacists' intention to use personal digital
Anandaroop Dasgupta1, Sujit S Sansgiry, Jeff T Sherer
1Department of Clinical Sciences and Administration, Division of Pharmacy Administration and Public Health, University of Houston, TX 77030, USA.
Objective:
To evaluate pharmacists' behavioral intention to use personal digital assistants (PDAs) in their profession, by means of the Extended Technology Acceptance Model (ETAM).
Design:
Prospective cross-sectional study.
Setting:
Hospital and community pharmacies in Houston, TX, in 2004.
Participants:
Convenience sample of 295 practicing pharmacists.
Intervention:
A prevalidated survey containing 30 items, evaluated on a 5-point Likert scale (1, strongly disagree, to 5, strongly agree), which measured the ETAM variables.
Main Outcome Measures:
Predictors of intention to use PDA for pharmacists owning the device.
Results:
Among the surveyed population, 49% of pharmacists owned PDAs. Overall, the ETAM constructs showed fairly good reliability. Stepwise regression analysis showed that the ETAM explained 69% of the variance in intention to use PDAs for pharmacists owning the device. Result demonstrability (beta = 0.53), subjective norm (beta = 0.25), and voluntariness (beta = -0.10) were significant (P < 0.05) predictors of pharmacists' intention to use PDAs.
Conclusion:
ETAM proved useful in predicting pharmacists' behavior in using PDAs. With improvements in technology, PDAs be an effective tool for pharmacists in providing better patient care.
Related Concept Videos
Pharmacokinetic–Pharmacodynamic Relationship: Model Components
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Pharmacodynamic Models: Overview
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Pharmacokinetic–Pharmacodynamic Relationship: Problems
Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect