Literature DB >> 21347057

Prevalence and Clinical Significance of Discrepancies within Three Computerized Pre-Admission Medication Lists.

Josh F Peterson1, Yaping Shi, Josh C Denny, Michael E Matheny, Jonathan S Schildcrout, Lemuel R Waitman, Randolph A Miller.   

Abstract

Inaccurate records of pre-admission medication exposure have been identified as a major source of medication error. Authors collected records of patients' pre-admission medications: 1) the most recent outpatient medication list ("EMR"), 2) the medication list recorded by admitting providers ("H&P"), and 3) a list generated by a medication reconciliation process conducted by nursing staff ("PAML"). Forty-eight sets of pre-admission records composed of 1087 medication entries were compared to a reference standard generated by trained study staff conducting an independent interview. Sensitivity was greatest for PAML (85%), compared to EMR (76%) and H&P (76%) sources. However, positive predictive value was greatest for the H&P source at 96% vs 88% and 91% for PAML and EMR sources respectively. Potentially harmful medication discrepancies were found within all lists. The authors concluded no single list was sufficiently accurate to avoid serious medication errors.

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Mesh:

Year:  2010        PMID: 21347057      PMCID: PMC3041392     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  5 in total

1.  Design and implementation of an application and associated services to support interdisciplinary medication reconciliation efforts at an integrated healthcare delivery network.

Authors:  Eric G Poon; Barry Blumenfeld; Claus Hamann; Alexander Turchin; Erin Graydon-Baker; Patricia C McCarthy; John Poikonen; Perry Mar; Jeffrey L Schnipper; Robert K Hallisey; Sandra Smith; Christine McCormack; Marilyn Paterno; Christopher M Coley; Andrew Karson; Henry C Chueh; Cheryl Van Putten; Sally G Millar; Margaret Clapp; Ishir Bhan; Gregg S Meyer; Tejal K Gandhi; Carol A Broverman
Journal:  J Am Med Inform Assoc       Date:  2006 Nov-Dec       Impact factor: 4.497

2.  Unintended medication discrepancies at the time of hospital admission.

Authors:  Patricia L Cornish; Sandra R Knowles; Romina Marchesano; Vincent Tam; Steven Shadowitz; David N Juurlink; Edward E Etchells
Journal:  Arch Intern Med       Date:  2005-02-28

3.  Adverse drug events occurring following hospital discharge.

Authors:  Alan J Forster; Harvey J Murff; Josh F Peterson; Tejal K Gandhi; David W Bates
Journal:  J Gen Intern Med       Date:  2005-04       Impact factor: 5.128

4.  Classifying and predicting errors of inpatient medication reconciliation.

Authors:  Jennifer R Pippins; Tejal K Gandhi; Claus Hamann; Chima D Ndumele; Stephanie A Labonville; Ellen K Diedrichsen; Marcy G Carty; Andrew S Karson; Ishir Bhan; Christopher M Coley; Catherine L Liang; Alexander Turchin; Patricia C McCarthy; Jeffrey L Schnipper
Journal:  J Gen Intern Med       Date:  2008-06-19       Impact factor: 5.128

5.  Effect of an electronic medication reconciliation application and process redesign on potential adverse drug events: a cluster-randomized trial.

Authors:  Jeffrey L Schnipper; Claus Hamann; Chima D Ndumele; Catherine L Liang; Marcy G Carty; Andrew S Karson; Ishir Bhan; Christopher M Coley; Eric Poon; Alexander Turchin; Stephanie A Labonville; Ellen K Diedrichsen; Stuart Lipsitz; Carol A Broverman; Patricia McCarthy; Tejal K Gandhi
Journal:  Arch Intern Med       Date:  2009-04-27
  5 in total
  5 in total

1.  Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records.

Authors:  Mei Liu; Eugenia Renne McPeek Hinz; Michael Edwin Matheny; Joshua C Denny; Jonathan Scott Schildcrout; Randolph A Miller; Hua Xu
Journal:  J Am Med Inform Assoc       Date:  2012-11-17       Impact factor: 4.497

2.  Potential benefit of electronic pharmacy claims data to prevent medication history errors and resultant inpatient order errors.

Authors:  Joshua M Pevnick; Katherine A Palmer; Rita Shane; Cindy N Wu; Douglas S Bell; Frank Diaz; Galen Cook-Wiens; Cynthia A Jackevicius
Journal:  J Am Med Inform Assoc       Date:  2016-01-17       Impact factor: 4.497

3.  A four-phase approach for systematically collecting data and measuring medication discrepancies when patients transition between health care settings.

Authors:  Korey A Kennelty; Matthew J Witry; Michael Gehring; Melissa Dattalo; Nicole Rogus-Pulia
Journal:  Res Social Adm Pharm       Date:  2015-09-12

4.  Modeling drug exposure data in electronic medical records: an application to warfarin.

Authors:  Mei Liu; Min Jiang; Vivian K Kawai; Charles M Stein; Dan M Roden; Joshua C Denny; Hua Xu
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

5.  Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.

Authors:  Joshua C Smith; Qingxia Chen; Joshua C Denny; Dan M Roden; Kevin B Johnson; Randolph A Miller
Journal:  Appl Clin Inform       Date:  2018-05-09       Impact factor: 2.342

  5 in total

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