Literature DB >> 19390106

Perceptions of standards-based electronic prescribing systems as implemented in outpatient primary care: a physician survey.

C Jason Wang1, Mihir H Patel, Anthony J Schueth, Melissa Bradley, Shinyi Wu, Jesse C Crosson, Peter A Glassman, Douglas S Bell.   

Abstract

OBJECTIVE To compare the experiences of e-prescribing users and nonusers regarding prescription safety and workload and to assess the use of information from two e-prescribing standards (for medication history and formulary and benefit information), as they are implemented. DESIGN Cross-sectional survey of physicians who either had installed or were awaiting installation of one of two commercial e-prescribing systems. MEASUREMENTS Perceptions about medication history and formulary and benefit information among all respondents, and among e-prescribing users, experiences with system usability, job performance impact, and amount of e-prescribing. RESULTS Of 395 eligible physicians, 228 (58%) completed the survey. E-prescribers (n = 139) were more likely than non-e-prescribers (n = 89) to perceive that they could identify clinically important drug-drug interactions (83 versus 67%, p = 0.004) but not that they could identify prescriptions from other providers (65 versus 60%, p = 0.49). They also perceived no significant difference in calls about drug coverage problems (76 versus 71% reported getting 10 or fewer such calls per week; p = 0.43). Most e-prescribers reported high satisfaction with their systems, but 17% had stopped using the system and another 46% said they sometimes reverted to handwriting for prescriptions that they could write electronically. The volume of e-prescribing was correlated with perceptions that it enhanced job performance, whereas quitting was associated with perceptions of poor usability. CONCLUSIONS E-prescribing users reported patient safety benefits but they did not perceive the enhanced benefits expected from using standardized medication history or formulary and benefit information. Additional work is needed for these standards to have the desired effects.

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Year:  2009        PMID: 19390106      PMCID: PMC2705252          DOI: 10.1197/jamia.M2998

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  33 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.  The effects of electronic prescribing on the quality of prescribing.

Authors:  Parastou Donyai; Kara O'Grady; Ann Jacklin; Nick Barber; Bryony Dean Franklin
Journal:  Br J Clin Pharmacol       Date:  2007-07-27       Impact factor: 4.335

Review 3.  Evaluation of outpatient computerized physician medication order entry systems: a systematic review.

Authors:  Saeid Eslami; Ameen Abu-Hanna; Nicolette F de Keizer
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

4.  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

5.  Multimethod evaluation of information and communication technologies in health in the context of wicked problems and sociotechnical theory.

Authors:  Johanna I Westbrook; Jeffrey Braithwaite; Andrew Georgiou; Amanda Ampt; Nerida Creswick; Enrico Coiera; Rick Iedema
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

Review 6.  The effect of computerized physician order entry with clinical decision support on the rates of adverse drug events: a systematic review.

Authors:  Jesse I Wolfstadt; Jerry H Gurwitz; Terry S Field; Monica Lee; Sunila Kalkar; Wei Wu; Paula A Rochon
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

7.  Variation in electronic prescribing implementation among twelve ambulatory practices.

Authors:  Jesse C Crosson; Nicole Isaacson; Debra Lancaster; Emily A McDonald; Anthony J Schueth; Barbara DiCicco-Bloom; Joshua L Newman; C Jason Wang; Douglas S Bell
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

8.  Uptake of electronic prescribing in community-based practices.

Authors:  Michael A Fischer; Christine Vogeli; Margaret R Stedman; Timothy G Ferris; Joel S Weissman
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

9.  Electronic prescribing reduced prescribing errors in a pediatric renal outpatient clinic.

Authors:  Yogini Hariprasad Jani; Maisoon Abdullah Ghaleb; Stephen D Marks; Judith Cope; Nick Barber; Ian Chi Kei Wong
Journal:  J Pediatr       Date:  2007-11-19       Impact factor: 4.406

10.  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

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  19 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.  Electronic prescribing improves medication safety in community-based office practices.

Authors:  Rainu Kaushal; Lisa M Kern; Yolanda Barrón; Jill Quaresimo; Erika L Abramson
Journal:  J Gen Intern Med       Date:  2010-02-26       Impact factor: 5.128

3.  Errors associated with outpatient computerized prescribing systems.

Authors:  Karen C Nanji; Jeffrey M Rothschild; Claudia Salzberg; Carol A Keohane; Katherine Zigmont; Jim Devita; Tejal K Gandhi; Anuj K Dalal; David W Bates; Eric G Poon
Journal:  J Am Med Inform Assoc       Date:  2011-06-29       Impact factor: 4.497

4.  Evaluation of RxNorm in Ambulatory Electronic Prescribing.

Authors:  Douglas S Bell; Sean Michael O'Neill; Kerry Reynolds; Diane Schoeff
Journal:  Rand Health Q       Date:  2011-09-01

5.  Factors that physicians find encouraging and discouraging about electronic prescribing: a quantitative study.

Authors:  Krutika S Jariwala; Erin R Holmes; Benjamin F Banahan; David J McCaffrey
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

6.  Patient perceptions of e-prescribing and its impact on their relationships with providers: a qualitative analysis.

Authors:  Caitlin K Frail; Megan Kline; Margie E Snyder
Journal:  J Am Pharm Assoc (2003)       Date:  2014 Nov-Dec

7.  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

8.  Patient factors associated with the initiation of telehealth services among heart failure patients at home.

Authors:  Kyungmi Woo; Jingjing Shang; Dawn W Dowding
Journal:  Home Health Care Serv Q       Date:  2018-11-27

9.  Physicians' attitudes towards ePrescribing--evaluation of a Swedish full-scale implementation.

Authors:  Lina Hellström; Karolina Waern; Emelie Montelius; Bengt Astrand; Tony Rydberg; Göran Petersson
Journal:  BMC Med Inform Decis Mak       Date:  2009-08-07       Impact factor: 2.796

Review 10.  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

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