title: Beyond technology acceptance to effective technology use: a parsimonious and actionable model.
abstract: OBJECTIVE
  To develop and test a parsimonious and actionable model of effective technology use (ETU).
  
  
  METHODS
  Cross-sectional survey of primary care providers (n = 53) in a large integrated health care organization that recently implemented new medication reconciliation technology.
  
  
  METHODS
  Surveys assessed 5 technology-related perceptions (compatibility with work values, implementation climate, compatibility with work processes, perceived usefulness, and ease of use) and 1 outcome variable, ETU. ETU was measured as both consistency and quality of technology use.
  
  
  RESULTS
  Compatibility with work values and implementation climate were found to have differential effects on consistency and quality of use. When implementation climate was strong, consistency of technology use was high. However, quality of technology use was high only when implementation climate was strong and values compatibility was high. This is an important finding and highlights the importance of users' workplace values as a key determinant of quality of use.
  
  
  CONCLUSIONS
  To extend our effectiveness in implementing new health care information technology, we need parsimonious models that include actionable determinants of ETU and account for the differential effects of these determinants on the multiple dimensions of ETU.
authors.affiliation: Howe School of Technology Management, Stevens Institute of Technology, Hoboken, NJ, USA pholahan@stevens.edu.
authors.forename: Patricia J
authors.initials: PJ
authors.lastname: Holahan
authors.affiliation: Portland Patient Safety Center of Inquiry, Portland Oregon Veterans Affairs Medical Center; Oregon Health Sciences University, Portland, OR, USA.
authors.forename: Blake J
authors.initials: BJ
authors.lastname: Lesselroth
authors.affiliation: Portland Patient Safety Center of Inquiry, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.
authors.forename: Kathleen
authors.initials: K
authors.lastname: Adams
authors.affiliation: Portland Patient Safety Center of Inquiry, Nursing Informatics, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.
authors.forename: Kai
authors.initials: K
authors.lastname: Wang
authors.affiliation: Portland Patient Safety Center of Inquiry, Nursing Informatics, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.
authors.forename: Victoria
authors.initials: V
authors.lastname: Church
mesh_terms: D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D003430:Cross-Sectional Studies; D004059:Diffusion of Innovation; D057286:Electronic Health Records / Q000706:statistics & numerical data; D006801:Humans; D008487:Medical History Taking / Q000379:methods; D008490:Medical Informatics; D008491:Medical Informatics Applications; D059065:Medication Reconciliation / Q000379:methods*; D008962:Models, Theoretical; D058007:Physicians, Primary Care; D011320:Primary Health Care
keywords: Effective Technology Use; Technology Acceptance; Medication Reconciliation; Patient Safety; Technology Implementation Effectiveness