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1.
J Holist Nurs ; 29(1): 33-43, 2011 Mar.
Article in English | MEDLINE | ID: mdl-20699431

ABSTRACT

PURPOSE: The Reiki Master Teacher group at a large academic, urban medical center studied the effects of Reiki on work-related stress in Registered Nurse Reiki I class participants. Research suggests that work-related stress is an influential factor in nursing burn out and retention. Reiki, an ancient form of Oriental "energy work" or healing, has been found to decrease stress. METHODS: The Perceived Stress Scale tool was administered prior to the Reiki I class and after three weeks of practicing self-Reiki. FINDINGS: Seventeen participants returned follow-up data. Results indicated that practicing Reiki more often resulted in reduced perceived stress levels. CONCLUSIONS: Data from this small pilot study supports educating nurses about Reiki practice to decrease work-related stress.


Subject(s)
Burnout, Professional/therapy , Holistic Health , Job Satisfaction , Nurse Practitioners/psychology , Therapeutic Touch/methods , Workload/psychology , Adult , Female , Health Status , Humans , Middle Aged , Pilot Projects , Treatment Outcome , Young Adult
2.
Pediatrics ; 121(3): e421-7, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18310162

ABSTRACT

OBJECTIVE: Although initial research suggests that computerized physician order entry reduces pediatric medication errors, no comprehensive error surveillance studies have evaluated the effect of computerized physician order entry on children. Our objective was to evaluate comprehensively the effect of computerized physician order entry on the rate of inpatient pediatric medication errors. METHODS: Using interrupted time-series regression analysis, we reviewed all charts, orders, and incident reports for 40 admissions per month to the NICU, PICU, and inpatient pediatric wards for 7 months before and 9 months after implementation of commercial computerized physician order entry in a general hospital. Nurse data extractors, who were unaware of study objectives, used an established error surveillance method to detect possible errors. Two physicians who were unaware of when the possible error occurred rated each possible error. RESULTS: In 627 pediatric admissions, with 12,672 medication orders written over 3234 patient-days, 156 medication errors were detected, including 70 nonintercepted serious medication errors (22/1000 patient-days). Twenty-three errors resulted in patient injury (7/1000 patient-days). In time-series analysis, there was a 7% decrease in level of the rates of nonintercepted serious medication errors. There was no change in the rate of injuries as a result of error after computerized physician order entry implementation. CONCLUSIONS: The rate of nonintercepted serious medication errors in this pediatric population was reduced by 7% after the introduction of a commercial computerized physician order entry system, much less than previously reported for adults, and there was no change in the rate of injuries as a result of error. Several human-machine interface problems, particularly surrounding selection and dosing of pediatric medications, were identified. Additional refinements could lead to greater effects on error rates.


Subject(s)
Drug-Related Side Effects and Adverse Reactions , Medical Order Entry Systems , Medication Errors/prevention & control , Attitude of Health Personnel , Child , Child, Preschool , Drug Therapy, Computer-Assisted , Female , Health Services Research , Hospitalization/statistics & numerical data , Hospitals, Pediatric , Humans , Infant , Intensive Care Units, Neonatal , Intensive Care Units, Pediatric , Male , Medical Records Systems, Computerized , Medication Errors/statistics & numerical data , Practice Patterns, Physicians' , Retrospective Studies , Safety Management/statistics & numerical data , Total Quality Management , United States
3.
Pediatrics ; 118(5): 1872-9, 2006 Nov.
Article in English | MEDLINE | ID: mdl-17079557

ABSTRACT

OBJECTIVE: The objective of this study was to determine the frequency and types of pediatric medication errors attributable to design features of a computerized order entry system. METHODS: A total of 352 randomly selected, inpatient, pediatric admissions were reviewed retrospectively for identification of medication errors, 3 to 12 months after implementation of computerized order entry. Errors were identified and classified by using an established, comprehensive, active surveillance method. Errors attributable to the computer system were classified according to type. RESULTS: Among 6916 medication orders in 1930 patient-days, there were 104 pediatric medication errors, of which 71 were serious (37 serious medication errors per 1000 patient-days). Of all pediatric medication errors detected, 19% (7 serious and 13 with little potential for harm) were computer related. The rate of computer-related pediatric errors was 10 errors per 1000 patient-days, and the rate of serious computer-related pediatric errors was 3.6 errors per 1000 patient-days. The following 4 types of computer-related errors were identified: duplicate medication orders (same medication ordered twice in different concentrations of syrup, to work around computer constraints; 2 errors), drop-down menu selection errors (wrong selection from a drop-down box; 9 errors), keypad entry error (5 typed instead of 50; 1 error), and order set errors (orders selected from a pediatric order set that were not appropriate for the patient; 8 errors). In addition, 4 preventable adverse drug events in drug ordering occurred that were not considered computer-related but were not prevented by the computerized physician order entry system. CONCLUSIONS: Serious pediatric computer-related errors are uncommon (3.6 errors per 1000 patient-days), but computer systems can introduce some new pediatric medication errors that are not typically seen in a paper ordering system.


Subject(s)
Medical Order Entry Systems , Medication Errors/statistics & numerical data , Adolescent , Child , Child, Preschool , Humans , Infant , Infant, Newborn , Retrospective Studies
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