Literature DB >> 21131606

A randomized-controlled trial of computerized alerts to reduce unapproved medication abbreviation use.

Jennifer S Myers1, Sattar Gojraty, Wei Yang, Amy Linsky, Subha Airan-Javia, Rosemary C Polomano.   

Abstract

Abbreviation use is a preventable cause of medication errors. The objective of this study was to test whether computerized alerts designed to reduce medication abbreviations and embedded within an electronic progress note program could reduce these abbreviations in the non-computer-assisted handwritten notes of physicians. Fifty-nine physicians were randomized to one of three groups: a forced correction alert group; an auto-correction alert group; or a group that received no alerts. Over time, physicians in all groups significantly reduced their use of these abbreviations in their handwritten notes. Physicians exposed to the forced correction alert showed the greatest reductions in use when compared to controls (p=0.02) and the auto-correction alert group (p=0.0005). Knowledge of unapproved abbreviations was measured before and after the intervention and did not improve (p=0.81). This work demonstrates the effects that alert systems can have on physician behavior in a non-computerized environment and in the absence of knowledge.

Mesh:

Year:  2010        PMID: 21131606      PMCID: PMC3005872          DOI: 10.1136/jamia.2010.006130

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


  23 in total

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2.  Use of abbreviations in daily progress notes.

Authors:  S Manzar; A K Nair; M Govind Pai; S Al-Khusaiby
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2004-07       Impact factor: 5.747

3.  Enforcement outdoes education at eliminating unsafe abbreviations.

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Journal:  Am J Health Syst Pharm       Date:  2004-07-01       Impact factor: 2.637

4.  The effect of repeated writing on memory.

Authors:  M Naka; H Naoi
Journal:  Mem Cognit       Date:  1995-03

5.  Improving recognition of drug interactions: benefits and barriers to using automated drug alerts.

Authors:  Peter A Glassman; Barbara Simon; Pamela Belperio; Andrew Lanto
Journal:  Med Care       Date:  2002-12       Impact factor: 2.983

6.  Factors related to errors in medication prescribing.

Authors:  T S Lesar; L Briceland; D S Stein
Journal:  JAMA       Date:  1997 Jan 22-29       Impact factor: 56.272

7.  Retrospective drug utilization review, prescribing errors, and clinical outcomes.

Authors:  Sean Hennessy; Warren B Bilker; Lan Zhou; Anita L Weber; Colleen Brensinger; Yanlin Wang; Brian L Strom
Journal:  JAMA       Date:  2003-09-17       Impact factor: 56.272

8.  Computerized physician order entry and medication errors in a pediatric critical care unit.

Authors:  Amy L Potts; Frederick E Barr; David F Gregory; Lorianne Wright; Neal R Patel
Journal:  Pediatrics       Date:  2004-01       Impact factor: 7.124

9.  Drug utilization review in ambulatory settings: state of the science and directions for outcomes research.

Authors:  H L Lipton; J A Bird
Journal:  Med Care       Date:  1993-12       Impact factor: 2.983

10.  Medication errors observed in 36 health care facilities.

Authors:  Kenneth N Barker; Elizabeth A Flynn; Ginette A Pepper; David W Bates; Robert L Mikeal
Journal:  Arch Intern Med       Date:  2002-09-09
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  10 in total

1.  Detecting abbreviations in discharge summaries using machine learning methods.

Authors:  Yonghui Wu; S Trent Rosenbloom; Joshua C Denny; Randolph A Miller; Subramani Mani; Dario A Giuse; Hua Xu
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Intervention to reduce the use of unsafe abbreviations in a teaching hospital.

Authors:  Mashael Alshaikh; Ahmed Mayet; Mansour Adam; Yusuf Ahmed; Hisham Aljadhey
Journal:  Saudi Pharm J       Date:  2012-11-16       Impact factor: 4.330

3.  Primary care provider adherence to an alert for intensification of diabetes blood pressure medications before and after the addition of a "chart closure" hard stop.

Authors:  Magaly Ramirez; Richard Maranon; Jeffery Fu; Janet S Chon; Kimberly Chen; Carol M Mangione; Gerardo Moreno; Douglas S Bell
Journal:  J Am Med Inform Assoc       Date:  2018-09-01       Impact factor: 4.497

4.  Using active choice within the electronic health record to increase physician ordering and patient completion of high-value cancer screening tests.

Authors:  Mitesh S Patel; Kevin G Volpp; Dylan S Small; Craig Wynn; Jingsan Zhu; Lin Yang; Steven Honeywell; Susan C Day
Journal:  Healthc (Amst)       Date:  2016-05-11

5.  Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions.

Authors:  Aviv Y Landau; Susi Ferrarello; Ashley Blanchard; Kenrick Cato; Nia Atkins; Stephanie Salazar; Desmond U Patton; Maxim Topaz
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

6.  Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study.

Authors:  Aviv Y Landau; Ashley Blanchard; Kenrick Cato; Nia Atkins; Stephanie Salazar; Desmond U Patton; Maxim Topaz
Journal:  J Am Med Inform Assoc       Date:  2022-01-29       Impact factor: 4.497

Review 7.  The effects of on-screen, point of care computer reminders on processes and outcomes of care.

Authors:  Kaveh G Shojania; Alison Jennings; Alain Mayhew; Craig R Ramsay; Martin P Eccles; Jeremy Grimshaw
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

Review 8.  Systematic Review of Medical Informatics-Supported Medication Decision Making.

Authors:  Brittany L Melton
Journal:  Biomed Inform Insights       Date:  2017-03-30

9.  Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials.

Authors:  Janice L Kwan; Lisha Lo; Jacob Ferguson; Hanna Goldberg; Juan Pablo Diaz-Martinez; George Tomlinson; Jeremy M Grimshaw; Kaveh G Shojania
Journal:  BMJ       Date:  2020-09-17

10.  The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis.

Authors:  Sharare Taheri Moghadam; Farahnaz Sadoughi; Farnia Velayati; Seyed Jafar Ehsanzadeh; Shayan Poursharif
Journal:  BMC Med Inform Decis Mak       Date:  2021-03-10       Impact factor: 2.796

  10 in total

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