Literature DB >> 35765500

Developing a Multifaceted Evaluation Tool for Electronic Prescribing System: A Study from a Developing Country.

Mahnaz Samadbeik1, Maryam Ahmadi2, Farahnaz Sadoughi2, Ali Garavand3.   

Abstract

Evaluation of electronic prescribing systems (EPS) can contribute to their quality assurance, and motivate users and policy-makers to implement these systems, directly influencing the health of society. An appropriate evaluation tool plays a determining role in the identification of proper EPS. The present study aimed to develop a multifaceted evaluation tool for assessing the EPS. This study was conducted in two main steps in 2018. In the first step, we conducted a literature review to find the main features and capabilities of the prosperous EPS. In the second step, a Delphi method was used for determining the final criteria for evaluating EPS. After preparing a primary questionnaire based on the first step results, 27 expert stakeholders from related fields participated in this 3-phase Delphi study. The narrative content analysis and descriptive statistics were used for data analysis. The final evaluation tool consists of 61 questions in 10 main dimensions, including practical capabilities of the process/user and patient safety, data storage and transfer, prescription control and renewal, technical functions, user interfaces, security and privacy, reporting, portability, hardware and infrastructure, and system failure/recovery. The evaluation tool developed in this study can be used for the critical appraisal of features of EPS. It is recommended that this multifaceted evaluation tool be employed to help buyers compare different systems and assist EPS software vendors in prioritizing their activities regarding the system development. By using this tool, healthcare organizations can also choose a system that improves many aspects of health care.
Copyright © 2022, Author(s).

Entities:  

Keywords:  Assessment; E-prescribing; Electronic Prescribing; Evaluation Tool; Prescription

Year:  2022        PMID: 35765500      PMCID: PMC9191228          DOI: 10.5812/ijpr.123821

Source DB:  PubMed          Journal:  Iran J Pharm Res        ISSN: 1726-6882            Impact factor:   1.962


  42 in total

1.  Electronic prescribing within an electronic health record reduces ambulatory prescribing errors.

Authors:  Erika L Abramson; Yolanda Barrón; Jill Quaresimo; Rainu Kaushal
Journal:  Jt Comm J Qual Patient Saf       Date:  2011-10

2.  Identifying and establishing consensus on the most important safety features of GP computer systems: e-Delphi study.

Authors:  Anthony J Avery; Boki S P Savelyich; Aziz Sheikh; Judy Cantrill; Caroline J Morris; Bernard Fernando; Mike Bainbridge; Pete Horsfield; Sheila Teasdale
Journal:  Inform Prim Care       Date:  2005

3.  Case report: activity diagrams for integrating electronic prescribing tools into clinical workflow.

Authors:  Kevin B Johnson; Fern Fitzhenry
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

4.  Electronic prescribing--safer, faster, better?

Authors:  Nick Barber
Journal:  J Health Serv Res Policy       Date:  2010-01

5.  Barriers to accepting e-prescribing in the U.S.A.

Authors:  Alan D Smith
Journal:  Int J Health Care Qual Assur Inc Leadersh Health Serv       Date:  2006

6.  Evaluating information technology in health care: barriers and challenges.

Authors:  H Heathfield; D Pitty; R Hanka
Journal:  BMJ       Date:  1998-06-27

7.  Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process.

Authors:  Michelle Sweidan; Margaret Williamson; James F Reeve; Ken Harvey; Jennifer A O'Neill; Peter Schattner; Teri Snowdon
Journal:  BMC Med Inform Decis Mak       Date:  2010-04-15       Impact factor: 2.796

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.  Impact of postal and telephone reminders on pick-up rates of unclaimed e-prescriptions.

Authors:  Anders Ekedahl; Vivianne Oskarsson; Barbro Sundberg; Veronica Gustafsson; Therese Lundberg; Bo Gullberg
Journal:  Pharm World Sci       Date:  2008-02-05

Review 10.  A Copmarative Review of Electronic Prescription Systems: Lessons Learned from Developed Countries.

Authors:  Mahnaz Samadbeik; Maryam Ahmadi; Farahnaz Sadoughi; Ali Garavand
Journal:  J Res Pharm Pract       Date:  2017 Jan-Mar
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