title: Application of the Extended Technology Acceptance Model in predicting pharmacists' intention to use personal digital assistants.
abstract: OBJECTIVE
  To evaluate pharmacists' behavioral intention to use personal digital assistants (PDAs) in their profession, by means of the Extended Technology Acceptance Model (ETAM).
  
  
  METHODS
  Prospective cross-sectional study.
  
  
  METHODS
  Hospital and community pharmacies in Houston, TX, in 2004.
  
  
  METHODS
  Convenience sample of 295 practicing pharmacists.
  
  
  METHODS
  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.
  
  
  METHODS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Clinical Sciences and Administration, Division of Pharmacy Administration and Public Health, University of Houston, TX 77030, USA.
authors.forename: Anandaroop
authors.initials: A
authors.lastname: Dasgupta
authors.forename: Sujit S
authors.initials: SS
authors.lastname: Sansgiry
authors.forename: Jeff T
authors.initials: JT
authors.lastname: Sherer
authors.forename: David
authors.initials: D
authors.lastname: Wallace
authors.forename: Samir
authors.initials: S
authors.lastname: Sikri
mesh_terms: D000328:Adult; D000368:Aged; D034201:Computers, Handheld / Q000706:statistics & numerical data*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010595:Pharmacists / Q000523:psychology*; D011446:Prospective Studies; D012044:Regression Analysis