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Expanding Potential of Radiofrequency Nurse Call Systems to Measure Nursing Time in Patient Rooms.
MedLine Citation:
PMID:  23615373     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE:: The objective of this study was to determine the utility and feasibility of using data from a nurse call system equipped with radiofrequency identification data (RFID) to measure nursing time spent in patient rooms. BACKGROUND:: Increasing the amount of time nurses spend with hospitalized patients has become a focus after several studies demonstrating that nurses spend most of their time in nondirect care activities rather than delivering patient care. Measurement of nursing time spent in direct care often involves labor-intensive time and motion studies, making frequent or continuous monitoring impractical. METHODS:: Mixed methods were used for this descriptive study. We used 30 days of data from an RFID nurse call system collected on 1 unit in a community hospital to examine nurses time spent in patient rooms. Descriptive statistics were applied to calculate this percentage by role and shift. Data technologists were surveyed to assess how practical the access of data would be in a hospital setting for use in monitoring nursing time spent in patient rooms. RESULTS:: The system captured 7393 staff hours. Of that time, 7% did not reflect actual patient care time, so these were eliminated from further analysis. The remaining 6880 hours represented 91% of expected worked time. RNs and nursing assistants spent 33% to 36% of their time in patient rooms, presumably providing direct care. CONCLUSIONS:: Radiofrequency identification data technology was found to provide feasible and accurate means for capturing and evaluating nursing time spent in patient rooms. Depending on the outcomes per unit, leaders should work with staff to maximize patient care time.
Authors:
Linda Fahey; Karen Dunn Lopez; Judith Storfjell; Gail Keenan
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Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  The Journal of nursing administration     Volume:  43     ISSN:  1539-0721     ISO Abbreviation:  J Nurs Adm     Publication Date:  2013 May 
Date Detail:
Created Date:  2013-4-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1263116     Medline TA:  J Nurs Adm     Country:  -    
Other Details:
Languages:  ENG     Pagination:  302-307     Citation Subset:  -    
Affiliation:
Author Affiliations: Vice President and Chief Nursing Officer (Dr Fahey), Decatur Memorial Hospital, Illinois; Assistant Professor (Dr Dunn Lopez), College of Nursing, Department of Health Sciences, University of Illinois, Chicago; Senior Vice President and Chief Nursing Officer (Dr Storfjell), Loma Linda University Medical Center, California; Associate Professor and Director, Nursing Informatics Initiative (Dr Keenan), College of Nursing, Department of Health Sciences, University of Illinois, Chicago.
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