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Attitudes and Behavior of Health Care Workers Before, During, and After Implementation of Real-Time Location System Technology.
Griffin, Joan M; Hellmich, Thomas R; Pasupathy, Kalyan Sunder; Funni, Shealeigh A; Pagel, Skylar M; Srinivasan, Sankara Subramanian; Heaton, Heather A; Sir, Mustafa Y; Nestler, David M; Blocker, Renaldo C; Hawthorne, Hunter J; Koenig, Kyle R; Herbst, Kelly M; Hallbeck, M Susan.
Afiliación
  • Griffin JM; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
  • Hellmich TR; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Pasupathy KS; Department of Emergency Medicine, Mayo Clinic, Rochester, MN.
  • Funni SA; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
  • Pagel SM; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Srinivasan SS; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Heaton HA; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Sir MY; David Eccles School of Business, University of Utah, Salt Lake City.
  • Nestler DM; Department of Emergency Medicine, Mayo Clinic, Rochester, MN.
  • Blocker RC; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
  • Hawthorne HJ; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Koenig KR; Department of Emergency Medicine, Mayo Clinic, Rochester, MN.
  • Herbst KM; Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN.
  • Hallbeck MS; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Mayo Clin Proc Innov Qual Outcomes ; 4(1): 90-98, 2020 Feb.
Article en En | MEDLINE | ID: mdl-32055774
OBJECTIVE: To assess how staff attitudes before, during, and after implementation of a real-time location system (RTLS) that uses radio-frequency identification tags on staff and patient identification badges and on equipment affected staff's intention to use and actual use of an RTLS. PARTICIPANTS AND METHODS: A series of 3 online surveys were sent to staff at an emergency department with plans to implement an RTLS between June 1, 2015, and November 29, 2016. Each survey corresponded with a different phase of implementation: preimplementation, midimplementation, and postimplementation. Multiple logistic regression with backward elimination was used to assess the relationship between demographic variables, attitudes about RTLSs, and intention to use or actual use of an RTLS. RESULTS: Demographic variables were not associated with intention to use or actual use of the RTLS. Before implementation, poor perceptions about the technology's usefulness and lack of trust in how employers would use tracking data were associated with weaker intentions to use the RTLS. During and after implementation, attitudes about the technology's use, not issues related to autonomy and privacy, were associated with less use of the technology. CONCLUSION: Real-time location systems have the potential to assess patterns of health care delivery that could be modified to reduce costs and improve the quality of care. Successful implementation, however, may hinge on how staff weighs attitudes and concerns about their autonomy and personal privacy with organizational goals. With the large investments required for new technology, serious consideration should be given to address staff attitudes about privacy and technology in order to assure successful implementation.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Mayo Clin Proc Innov Qual Outcomes Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Mayo Clin Proc Innov Qual Outcomes Año: 2020 Tipo del documento: Article