TY - JOUR
T1 - Nurses' Perceptions of Implant Barcode Scanning in Surgical Services
AU - Wilson, Natalia
AU - Jehn, Megan
AU - Kisana, Haroon
AU - Reimer, Donada
AU - Meister, Diane
AU - Valentine, Kimberly
AU - Reiser, Mark
AU - Clarke, Henry
N1 - Funding Information:
This work was supported by the Agency for Healthcare Research and Quality (grant 1 R03 HS022 340 01 A1, 2014). Corresponding author: Natalia Wilson, MD, MPH, College of Health Solutions, Arizona State University, 500 N 3rd St, Phoenix, AZ 85004 (natalia.wilson@asu.edu). Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.
Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - The US Food and Drug Administration's 2013 Unique Device Identification System Rule requires manufacturers to label devices with unique identifiers. Implantable devices are now shipped with unique identifiers, and many electronic health records have fields to incorporate them. Health policy changes have prompted hospital systems to assess implementation of implant barcode scanning systems to capture unique device identifiers. Project aims were to assess predictors of operating room nurses' acceptance of a new implant barcode scanning system, describe operating room nurses' perceptions of the system value, and identify operating room nurses' perceived gaps in system implementation. An online survey was disseminated to operating room nurses, and focus groups were conducted with orthopedic operating room nurses in an academic medical center that had recently implemented an implant barcode scanning system in surgical services. Predictors of barcode scanning acceptance included perceived usefulness for patient care, perceived ease of use, and perceived usefulness (self). Nurses perceived the system to be more accurate and valuable for patient safety. Perceived gaps in system implementation related to communication, completeness of the system, consistency in process, and training. Understanding nurse perceptions of new barcode scanning systems and engaging them in the implementation process are key areas for success and optimization of these systems.
AB - The US Food and Drug Administration's 2013 Unique Device Identification System Rule requires manufacturers to label devices with unique identifiers. Implantable devices are now shipped with unique identifiers, and many electronic health records have fields to incorporate them. Health policy changes have prompted hospital systems to assess implementation of implant barcode scanning systems to capture unique device identifiers. Project aims were to assess predictors of operating room nurses' acceptance of a new implant barcode scanning system, describe operating room nurses' perceptions of the system value, and identify operating room nurses' perceived gaps in system implementation. An online survey was disseminated to operating room nurses, and focus groups were conducted with orthopedic operating room nurses in an academic medical center that had recently implemented an implant barcode scanning system in surgical services. Predictors of barcode scanning acceptance included perceived usefulness for patient care, perceived ease of use, and perceived usefulness (self). Nurses perceived the system to be more accurate and valuable for patient safety. Perceived gaps in system implementation related to communication, completeness of the system, consistency in process, and training. Understanding nurse perceptions of new barcode scanning systems and engaging them in the implementation process are key areas for success and optimization of these systems.
KW - Barcode scanning
KW - Implants
KW - Unique device identifiers
UR - http://www.scopus.com/inward/record.url?scp=85081745068&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081745068&partnerID=8YFLogxK
U2 - 10.1097/CIN.0000000000000579
DO - 10.1097/CIN.0000000000000579
M3 - Article
C2 - 31688090
AN - SCOPUS:85081745068
SN - 1538-2931
VL - 38
SP - 131
EP - 138
JO - CIN - Computers Informatics Nursing
JF - CIN - Computers Informatics Nursing
IS - 3
ER -