Literature DB >> 21112243

Perceptions of e-prescribing efficiencies and inefficiencies in ambulatory care.

Kate L Lapane1, Rochelle K Rosen, Catherine Dubé.   

Abstract

INTRODUCTION: Recent studies have demonstrated that e-prescribing takes longer than handwriting. Additional studies documenting the perceived efficiencies realized from e-prescribing from those who have implemented electronic prescribing are warranted.
METHODS: We used a mixed method study design. We report on qualitative date from 64 focus groups with clinicians and office staff from six US states. Participants used one of six e-prescribing software packages. Qualitative data from the focus groups (276 participants) were coded and analyzed using NVivo software. Quantitative data regarding perceived efficiencies were extracted from a survey of 157 clinicians using e-prescribing.
RESULTS: Perceptions of e-prescribing included 64% reporting e-prescribing as very efficient. The next closest method was computer generated fax and prescriptions in which ∼25% rated the method as very efficient. Improvements in workflow and record keeping were noted. Perceived efficiencies were realized by decreased errors, availability of formularies at the point of prescribing and refill processing. Perceived inefficiencies noted included the need for dual systems owing to regulations preventing e-prescribing of scheduled medications as well as those introduced with incorrect information on formularies, pharmacy used, and warnings. DISCUSSION: Overwhelmingly, clinicians and their staff confirmed the perceived efficiencies realized with the adoption of e-prescribing. Perceived efficiencies were realized in knowing formularies, processing refills, and decreasing errors. Opportunities to improve efficiencies could be realized by assuring correct information in the system.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 21112243      PMCID: PMC3073364          DOI: 10.1016/j.ijmedinf.2010.10.018

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  13 in total

1.  Physicians' experiences using commercial e-prescribing systems.

Authors:  Joy M Grossman; Anneliese Gerland; Marie C Reed; Cheryl Fahlman
Journal:  Health Aff (Millwood)       Date:  2007-04-03       Impact factor: 6.301

2.  Roadblock on the health IT superhighway: e-prescribing and the Controlled Substances Act.

Authors:  Kate L Lapane; Brian J Quilliam; David D Dore
Journal:  J Opioid Manag       Date:  2007 Jul-Aug

3.  The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study.

Authors:  William Hollingworth; Emily Beth Devine; Ryan N Hansen; Nathan M Lawless; Bryan A Comstock; Jennifer L Wilson-Norton; Kathleen L Tharp; Sean D Sullivan
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

4.  Electronic prescribing at the point of care: a time-motion study in the primary care setting.

Authors:  Emily Beth Devine; William Hollingworth; Ryan N Hansen; Nathan M Lawless; Jennifer L Wilson-Norton; Diane P Martin; David K Blough; Sean D Sullivan
Journal:  Health Serv Res       Date:  2009-11-19       Impact factor: 3.402

5.  Physicians' attitudes towards eprescribing: a comparative web survey in Austria and Sweden.

Authors:  Thomas Steinschaden; Göran Petersson; Bengt Astrand
Journal:  Inform Prim Care       Date:  2009

6.  Misperceptions of patients vs providers regarding medication-related communication issues.

Authors:  Kate L Lapane; Catherine E Dubé; Karen L Schneider; Brian J Quilliam
Journal:  Am J Manag Care       Date:  2007-11       Impact factor: 2.229

7.  Clinicians' assessments of electronic medication safety alerts in ambulatory care.

Authors:  Saul N Weingart; Brett Simchowitz; Lawrence Shiman; Daniela Brouillard; Adrienne Cyrulik; Roger B Davis; Thomas Isaac; Michael Massagli; Laurinda Morway; Daniel Z Sands; Justin Spencer; Joel S Weissman
Journal:  Arch Intern Med       Date:  2009-09-28

8.  Recommendations for comparing electronic prescribing systems: results of an expert consensus process.

Authors:  Douglas S Bell; Richard S Marken; Robin C Meili; C Jason Wang; Mayde Rosen; Robert H Brook
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Jun       Impact factor: 6.301

9.  A mixed method study of the merits of e-prescribing drug alerts in primary care.

Authors:  Kate L Lapane; Molly E Waring; Karen L Schneider; Catherine Dubé; Brian J Quilliam
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

10.  General practitioners' attitudes and preparedness towards Clinical Decision Support in e-Prescribing (CDS-eP) adoption in the West of Ireland: a cross sectional study.

Authors:  Chee Peng Hor; James M O'Donnell; Andrew W Murphy; Timothy O'Brien; Thomas J B Kropmans
Journal:  BMC Med Inform Decis Mak       Date:  2010-01-12       Impact factor: 2.796

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  12 in total

Review 1.  Barriers and facilitators to implementing electronic prescription: a systematic review of user groups' perceptions.

Authors:  Marie-Pierre Gagnon; Édith-Romy Nsangou; Julie Payne-Gagnon; Sonya Grenier; Claude Sicotte
Journal:  J Am Med Inform Assoc       Date:  2013-10-15       Impact factor: 4.497

2.  E-prescribing errors in community pharmacies: exploring consequences and contributing factors.

Authors:  Olufunmilola K Odukoya; Jamie A Stone; Michelle A Chui
Journal:  Int J Med Inform       Date:  2014-03-04       Impact factor: 4.046

3.  Model of Current Practice Regarding Prescriptions of Controlled Substances and the Perceived Benefits of E-Prescribing in an Academic Medical Center.

Authors:  Eli Kupperman; Daniel Vigil; Arash Yazdani; Kevin Baldwin
Journal:  J Med Syst       Date:  2016-10-27       Impact factor: 4.460

4.  Electronic prescribing: improving the efficiency and accuracy of prescribing in the ambulatory care setting.

Authors:  Amber Porterfield; Kate Engelbert; Alberto Coustasse
Journal:  Perspect Health Inf Manag       Date:  2014-04-01

Review 5.  Impacts of Operational Failures on Primary Care Physicians' Work: A Critical Interpretive Synthesis of the Literature.

Authors:  Carol Sinnott; Alexandros Georgiadis; John Park; Mary Dixon-Woods
Journal:  Ann Fam Med       Date:  2020-03       Impact factor: 5.166

6.  How Physician Perspectives on E-Prescribing Evolve over Time. A Case Study Following the Transition between EHRs in an Outpatient Clinic.

Authors:  Erika L Abramson; Vaishali Patel; Elizabeth R Pfoh; Rainu Kaushal
Journal:  Appl Clin Inform       Date:  2016-10-26       Impact factor: 2.342

Review 7.  Computerized prescriber order entry in the outpatient oncology setting: from evidence to meaningful use.

Authors:  V Kukreti; R Cosby; A Cheung; S Lankshear
Journal:  Curr Oncol       Date:  2014-08       Impact factor: 3.677

8.  Main Elements of National Model of Electronic Prescription System from Physicians' Point of View: A Case Study in a Developing Country.

Authors:  Mahnaz Samadbeik; Maryam Ahmadi; Farahnaz Sadoughi; Ali Garavand
Journal:  Iran J Pharm Res       Date:  2019       Impact factor: 1.696

9.  Transmitting and processing electronic prescriptions: experiences of physician practices and pharmacies.

Authors:  Joy M Grossman; Dori A Cross; Ellyn R Boukus; Genna R Cohen
Journal:  J Am Med Inform Assoc       Date:  2011-11-18       Impact factor: 4.497

10.  Clinical Outcomes of Continuation of Metformin Titration Instructions with Electronic Prescribing.

Authors:  Thomas Delate; Nathan Rader; Julia E Rawlings; Karen Smith; Sheryl J Herner
Journal:  Drugs Real World Outcomes       Date:  2015-06
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