Literature DB >> 16492002

Pharmacy clarification of prescriptions ordered in primary care: a report from the Applied Strategies for Improving Patient Safety (ASIPS) collaborative.

Laura B Hansen1, Douglas Fernald, Rodrigo Araya-Guerra, John M Westfall, David West, Wilson Pace.   

Abstract

INTRODUCTION: Prescription errors threaten patient safety and pharmacists often contact providers for prescription clarification. This study describes the principal reasons pharmacies call primary care practices to clarify prescriptions and subsequent implications for quality and patient safety improvement.
METHODS: A cross-sectional study of 22 primary care practices participating in a patient safety study was performed. Callbacks from pharmacies were logged for 2 weeks to determine reasons for callbacks, most frequently involved drug classes, whether issues were resolved on the same day of the call, and variability of callbacks among practice types. Analyses were performed using frequencies, t tests, and chi(2) tests.
RESULTS: Practices recorded 567 clarification calls, most frequently for prior authorization issues (n = 209; 37%), formulary issues (n = 148; 26%), and unclear/missing prescription dosages (n = 117; 21%). Drug classes most frequently requiring clarifications were gastrointestinal (n = 122; 21.7%), cardiovascular (n = 278; 13.9%), and analgesic/anesthetic (n = 74; 13.2%) agents. Issues were resolved on the same day 62% of the time. Residency practices averaged more issues per call (P < .001).
CONCLUSIONS: Clarification calls made to primary care practices involve administrative and clinical issues, potentially impacting patient safety. Pharmacy callback data can identify potential prescription concerns, thereby helping practices develop interventions aimed at reducing errors and improving patient safety.

Entities:  

Mesh:

Year:  2006        PMID: 16492002     DOI: 10.3122/jabfm.19.1.24

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  10 in total

1.  Ambulatory prescribing errors among community-based providers in two states.

Authors:  Erika L Abramson; David W Bates; Chelsea Jenter; Lynn A Volk; Yolanda Barrón; Jill Quaresimo; Andrew C Seger; Elisabeth Burdick; Steven Simon; Rainu Kaushal
Journal:  J Am Med Inform Assoc       Date:  2011-12-01       Impact factor: 4.497

2.  Transitioning between electronic health records: effects on ambulatory prescribing safety.

Authors:  Erika L Abramson; Sameer Malhotra; Karen Fischer; Alison Edwards; Elizabeth R Pfoh; S Nena Osorio; Adam Cheriff; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2011-04-16       Impact factor: 5.128

3.  A long-term follow-up evaluation of electronic health record prescribing safety.

Authors:  Erika L Abramson; Sameer Malhotra; S Nena Osorio; Alison Edwards; Adam Cheriff; Curtis Cole; Rainu Kaushal
Journal:  J Am Med Inform Assoc       Date:  2013-04-11       Impact factor: 4.497

4.  Card studies for observational research in practice.

Authors:  John M Westfall; Linda Zittleman; Elizabeth W Staton; Bennett Parnes; Peter C Smith; Linda J Niebauer; Douglas H Fernald; Javan Quintela; Rebecca F Van Vorst; L Miriam Dickinson; Wilson D Pace
Journal:  Ann Fam Med       Date:  2011 Jan-Feb       Impact factor: 5.166

5.  Could chiropractors screen for adverse drug events in the community? Survey of US chiropractors.

Authors:  Monica Smith; Lisa Bero; Lynne Carber
Journal:  Chiropr Osteopat       Date:  2010-11-17

6.  Prescription Adaptation Services: A Win for Patients and Providers.

Authors:  Alex J Adams
Journal:  Innov Pharm       Date:  2020-12-10

Review 7.  Causes and consequences of e-prescribing errors in community pharmacies.

Authors:  Erika L Abramson
Journal:  Integr Pharm Res Pract       Date:  2015-05-20

8.  Adherence to prescription-writing guidelines for outpatients in Southern Gauteng district hospitals.

Authors:  Jacques G Nkera-Gutabara; Laurel B Ragaven
Journal:  Afr J Prim Health Care Fam Med       Date:  2020-06-15

9.  Impact of Online Prescription Management Systems on Biologic Treatment Initiation.

Authors:  Jason E Hawkes; Manish Mittal; Matthew Davis; Diana Brixner
Journal:  Adv Ther       Date:  2019-06-05       Impact factor: 3.845

10.  Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices.

Authors:  John W Epling; Emily M Mader; Christopher P Morley
Journal:  BMC Health Serv Res       Date:  2014-03-06       Impact factor: 2.655

  10 in total

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