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Electronic prescribing reduces prescribing error in public hospitals.
- Source :
-
Journal of Clinical Nursing (John Wiley & Sons, Inc.) . Nov2011, Vol. 20 Issue 21-22, p3233-3245. 13p. - Publication Year :
- 2011
-
Abstract
- Aims and objectives. To examine the incidence of prescribing errors in a main public hospital in Pakistan and to assess the impact of introducing electronic prescribing system on the reduction of their incidence. Background. Medication errors are persistent in today's healthcare system. The impact of electronic prescribing on reducing errors has not been tested in developing world. Design. Prospective review of medication and discharge medication charts before and after the introduction of an electronic inpatient record and prescribing system. Methods. Inpatient records ( n = 3300) and 1100 discharge medication sheets were reviewed for prescribing errors before and after the installation of electronic prescribing system in 11 wards. Results. Medications (13,328 and 14,064) were prescribed for inpatients, among which 3008 and 1147 prescribing errors were identified, giving an overall error rate of 22·6% and 8·2% throughout paper-based and electronic prescribing, respectively. Medications (2480 and 2790) were prescribed for discharge patients, among which 418 and 123 errors were detected, giving an overall error rate of 16·9% and 4·4% during paper-based and electronic prescribing, respectively. Conclusion. Electronic prescribing has a significant effect on the reduction of prescribing errors. Relevance to clinical practice. Prescribing errors are commonplace in Pakistan public hospitals. The study evaluated the impact of introducing electronic inpatient records and electronic prescribing in the reduction of prescribing errors in a public hospital in Pakistan. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MEDICATION error prevention
*HYPOTHESIS
*ANALYSIS of variance
*CHI-squared test
*CONFIDENCE intervals
*DRUG prescribing
*EPIDEMIOLOGY
*FISHER exact test
*HOSPITAL admission & discharge
*PHARMACY databases
*LONGITUDINAL method
*ELECTRONIC health records
*MEDICATION errors
*MEDICAL prescriptions
*PATIENTS
*PUBLIC hospitals
*STATISTICAL sampling
*STATISTICS
*U-statistics
*PHYSICIAN practice patterns
*DATA analysis
*INTER-observer reliability
*DATA analysis software
Subjects
Details
- Language :
- English
- ISSN :
- 09621067
- Volume :
- 20
- Issue :
- 21-22
- Database :
- Academic Search Index
- Journal :
- Journal of Clinical Nursing (John Wiley & Sons, Inc.)
- Publication Type :
- Academic Journal
- Accession number :
- 66356234
- Full Text :
- https://doi.org/10.1111/j.1365-2702.2011.03714.x