Patricia J Holahan1, Blake J Lesselroth2, Kathleen Adams3, Kai Wang4, Victoria Church4. 1. Howe School of Technology Management, Stevens Institute of Technology, Hoboken, NJ, USA pholahan@stevens.edu. 2. Portland Patient Safety Center of Inquiry, Portland Oregon Veterans Affairs Medical Center; Oregon Health Sciences University, Portland, OR, USA. 3. Portland Patient Safety Center of Inquiry, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA. 4. Portland Patient Safety Center of Inquiry, Nursing Informatics, Portland Oregon Veterans Affairs Medical Center, Portland, OR, USA.
Abstract
OBJECTIVE: To develop and test a parsimonious and actionable model of effective technology use (ETU). DESIGN: 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.
OBJECTIVE: To develop and test a parsimonious and actionable model of effective technology use (ETU). DESIGN: 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: Theodore B Wright; Kathleen Adams; Victoria L Church; Mimi Ferraro; Scott Ragland; Anthony Sayers; Stephanie Tallett; Travis Lovejoy; Joan Ash; Patricia J Holahan; Blake J Lesselroth Journal: AMIA Annu Symp Proc Date: 2018-04-16
Authors: Blake Lesselroth; Victoria Lee Church; Kathleen Adams; Amanda Mixon; Amy Richmond-Aylor; Naomi Glasscock; Jack Wiedrick Journal: BMJ Open Qual Date: 2022-10