Evaluation of e-prescribing in chain community pharmacy: best-practice recommendations
- PMID: 18595821
- DOI: 10.1331/JAPhA.2008.07031
Evaluation of e-prescribing in chain community pharmacy: best-practice recommendations
Abstract
Objectives: To measure the attitudes and beliefs of community-based pharmacists and technicians toward electronic prescribing (e-prescribing) and the processing of e-prescriptions and to generate best-practice recommendations for changes to improve e-prescribing in the community setting.
Design: Descriptive, nonexperimental, cross-sectional study.
Setting: 422 chain community pharmacies in six states that met a minimum dispensing volume of five e-prescriptions per day. Data were collected between April and July 2006.
Participants: Pharmacists, technicians, and student interns.
Intervention: Receiving, processing, and dispensing of e-prescriptions assessed via self-administered survey and follow-up interviews of key pharmacy operations and information technology management in each participating chain pharmacy organization.
Main outcome measures: Attitudes, beliefs, and satisfaction of pharmacy personnel regarding e-prescribing, compared with conventional prescribing, and recommendations for improving e-prescribing in the community practice setting.
Results: 1,094 surveys were returned from pharmacy personnel practicing in 276 chain community pharmacies. Pharmacy personnel preferred e-prescriptions over conventional prescriptions on each of seven desired outcomes of care. Pharmacists were found to view e-prescribing more positively than technicians (P < 0.05) for its net effect on three key outcomes: patient safety, effectiveness of care, and efficiency of care. A total of 2,235 written comments were received on the returned surveys. Of these, 57% (1,277) mentioned negative features of e-prescribing, while 43% (958) noted positive features. Improved clarity and/or legibility of prescriptions was the most frequently cited advantage of e-prescribing, followed closely by improved speed or efficiency of processing. Prescribing errors were the most commonly cited negative feature of e-prescribing, particularly those stating a wrong drug or wrong directions.
Conclusion: Pharmacy personnel were generally satisfied with the current status of e-prescribing, but they also perceive key weaknesses in how it has been implemented in physicians' practices and their own organizations. A total of 11 best-practice recommendations are offered to improve e-prescribing in the chain community pharmacy setting.
Similar articles
-
Analysis of community chain pharmacists' interventions on electronic prescriptions.J Am Pharm Assoc (2003). 2009 Jan-Feb;49(1):59-64. doi: 10.1331/JAPhA.2009.08013. J Am Pharm Assoc (2003). 2009. PMID: 19196598
-
Barriers and facilitators to recovering from e-prescribing errors in community pharmacies.J Am Pharm Assoc (2003). 2015 Jan-Feb;55(1):52-8. doi: 10.1331/JAPhA.2015.13239. J Am Pharm Assoc (2003). 2015. PMID: 25539495 Free PMC article.
-
Constructs underlying community pharmacy dispensing functions relative to Florida pharmacy technicians.J Am Pharm Assoc (2003). 2007 Sep-Oct;47(5):588-98. doi: 10.1331/JAPhA.2007.06094. J Am Pharm Assoc (2003). 2007. PMID: 17848348
-
Review of computerized clinical decision support in community pharmacy.J Clin Pharm Ther. 2014 Aug;39(4):343-8. doi: 10.1111/jcpt.12168. Epub 2014 May 8. J Clin Pharm Ther. 2014. PMID: 24806361 Review.
-
Workload in community pharmacies in the UK and its impact on patient safety and pharmacists' well-being: a review of the evidence.Health Soc Care Community. 2011 Nov;19(6):561-75. doi: 10.1111/j.1365-2524.2011.00997.x. Epub 2011 May 30. Health Soc Care Community. 2011. PMID: 21623986 Review.
Cited by
-
A Study to Assess Prescription Transfer and Medicines Collection Through a New Electronic Prescription Service: A Cross-Sectional Survey.Int J Gen Med. 2023 Aug 22;16:3689-3699. doi: 10.2147/IJGM.S432075. eCollection 2023. Int J Gen Med. 2023. PMID: 37637712 Free PMC article.
-
Patients', pharmacists', and prescribers' attitude toward using blockchain and machine learning in a proposed ePrescription system: online survey.JAMIA Open. 2022 Jan 7;5(1):ooab115. doi: 10.1093/jamiaopen/ooab115. eCollection 2022 Apr. JAMIA Open. 2022. PMID: 35028528 Free PMC article.
-
From Paper to E-Prescribing of Multidose Drug Dispensing: A Qualitative Study of Workflow in a Community Care Setting.Pharmacy (Basel). 2021 Feb 16;9(1):41. doi: 10.3390/pharmacy9010041. Pharmacy (Basel). 2021. PMID: 33669475 Free PMC article.
-
A Quantitative and Qualitative Analysis of Electronic Prescribing Incidents Reported by Community Pharmacists.Appl Clin Inform. 2019 May;10(3):387-394. doi: 10.1055/s-0039-1691840. Epub 2019 Jun 5. Appl Clin Inform. 2019. PMID: 31167250 Free PMC article.
-
Unavailable prescriptions at Danish community pharmacies: A descriptive study.Int J Clin Pharm. 2019 Jun;41(3):672-676. doi: 10.1007/s11096-019-00831-5. Epub 2019 Apr 17. Int J Clin Pharm. 2019. PMID: 30997622
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous
