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Modeling nurses' acceptance of bar coded medication administration technology at a pediatric hospital. J Am Med Inform Assoc 2012;19(6):1050-8

Date

06/05/2012

Pubmed ID

22661559

Pubmed Central ID

PMC3534453

DOI

10.1136/amiajnl-2011-000754

Scopus ID

2-s2.0-84867677860 (requires institutional sign-in at Scopus site)   53 Citations

Abstract

OBJECTIVE: To identify predictors of nurses' acceptance of bar coded medication administration (BCMA).

DESIGN: Cross-sectional survey of registered nurses (N=83) at an academic pediatric hospital that recently implemented BCMA.

METHODS: Surveys assessed seven BCMA-related perceptions: ease of use; usefulness for the job; social influence from non-specific others to use BCMA; training; technical support; usefulness for patient care; and social influence from patients/families. An all possible subset regression procedure with five goodness-of-fit indicators was used to identify which set of perceptions best predicted BCMA acceptance (intention to use, satisfaction).

RESULTS: Nurses reported a moderate perceived ease of use and low perceived usefulness of BCMA. Nurses perceived moderate-or-higher social influence to use BCMA and had moderately positive perceptions of BCMA-related training and technical support. Behavioral intention to use BCMA was high, but satisfaction was low. Behavioral intention to use was best predicted by perceived ease of use, perceived social influence from non-specific others, and perceived usefulness for patient care (56% of variance explained). Satisfaction was best predicted by perceived ease of use, perceived usefulness for patient care, and perceived social influence from patients/families (76% of variance explained).

DISCUSSION: Variation in and low scores on ease of use and usefulness are concerning, especially as these variables often correlate with acceptance, as found in this study. Predicting acceptance benefited from using a broad set of perceptions and adapting variables to the healthcare context.

CONCLUSION: Success with BCMA and other technologies can benefit from assessing end-user acceptance and elucidating the factors promoting acceptance and use.

Author List

Holden RJ, Brown RL, Scanlon MC, Karsh BT

Author

Matthew C. Scanlon MD Professor in the Pediatrics department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Adolescent
Adult
Attitude of Health Personnel
Cross-Sectional Studies
Female
Health Plan Implementation
Hospitals, Pediatric
Humans
Male
Medication Systems
Middle Aged
Midwestern United States
Nursing Staff, Hospital
Practice Patterns, Nurses'