Informatics for Health and Social Care · 2016 · 30 citations · 16 references
ComputingClinical PharmacyHospital PharmacyClinical Decision SupportClinical Information SystemsHealth Information SystemsClinical Decision Support SystemsDecision Support In HealthcareMedication Therapy ManagementPharmacy Information SystemsAdoption IntentionsPartial Least Squares RegressionTechnology AcceptanceTechnology Acceptance EvaluationUser SatisfactionUser Satisfaction MeasurementUser Satisfaction ModelingWorkarounds
INTRODUCTION: There are clinical and economic benefits to incorporating clinical decision support systems (CDSSs) in patient care interventions in the clinical pharmacy setting. However, user dissatisfaction and resistance to HIT can prevent optimal use of such systems, particularly when users employ system workarounds and overrides. OBJECTIVES: The present study applied a modified version of the unified theory of acceptance and use of technology (UTAUT) to evaluate the disposition and satisfaction with CDSS among clinical pharmacists who perform surveillance to identify potential medication therapy interventions on patients in the hospital setting. METHODS: A survey of clinical pharmacists (N = 48) was conducted. Partial least squares (PLS) regression was used to analyze the influence of the UTAUT-related variables on behavioral intention and satisfaction with CDSS among clinical pharmacists. RESULTS: While behavioral intention did not predict actual use of HIT, facilitating conditions had a direct effect on pharmacists' use of CDSS. Likewise, satisfaction with CDSS was found to have a direct effect on use, with more satisfied users being less inclined to employ workarounds or overrides of the system. CONCLUSION: Based on the findings, organizational structures that facilitate CDSS use and user satisfaction affect the extent to which pharmacy and health care management maximize use in the clinical pharmacy setting.
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User Acceptance of Information Technology: Toward A Unified View1
Venkatesh · MIS Quarterly · 2003 · 42.5K citations
Panayiotis H. Ketikidis, Tomislav Dimitrovski, Lambros Lazuras et al. · Health Informatics Journal · 2012 · 243 citations
Computing, Health Informatics, Health Information Systems +12