Literature DB >> 15623265

Measuring patient safety in ambulatory care: potential for identifying medical group drug-drug interaction rates using claims data.

Leif I Solberg1, Judith S Hurley, Melissa H Roberts, Winnie W Nelson, Floyd J Frost, A Lauren Crain, Margaret J Gunter, Linda R Young.   

Abstract

OBJECTIVE: To evaluate the feasibility of using health-plan administrative data to measure potential drug-drug interaction (DDI) rates in the ambulatory setting at the medical-group level and to assess the potential use of DDI rates in performance measurement, quality improvement, and research in patient safety. STUDY
DESIGN: We combined administrative and pharmacy claims data from 2 large health plans to calculate the rates at which member users of selected chronic medications were potentially exposed to a second drug known to pose a risk of harmful interactions.
METHODS: We divided 44 medication combinations with risk of adverse interactions into those with DDIs of moderate/severe clinical significance and those with DDIs of mild significance. We then calculated yearly rates of potential DDIs in continuously enrolled members aged 19 and older from 1998 through 2001. Rates were calculated for all members, overall base-medication users, and, individual medical groups responsible for their care.
RESULTS: The analytic data set included 756 047 patient-years of data and 110 to 123 medical groups per year. During the 4-year interval, one or more unique potential DDIs occurred in 6.2% to 6.7% of base-drug users and 2.0% to 2.3% of all adult health-plan members per year. Medical-group mean user rates were slightly lower (5.33%-5.81%), with wide variance (SD = 2.6%-3.1%) and high stability over time.
CONCLUSION: Potential DDI rates calculated from health-plan data have promise for measurement in patient medication safety. This readily available and inexpensive evaluation tool has potential for monitoring, improvement, and research purposes if further studies validate their relationship to actual adverse events.

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Year:  2004        PMID: 15623265

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  12 in total

1.  Healthcare professional students' knowledge of drug-drug interactions.

Authors:  Amanda R Harrington; Terri L Warholak; Lisa E Hines; Ann M Taylor; Duane Sherrill; Daniel C Malone
Journal:  Am J Pharm Educ       Date:  2011-12-15       Impact factor: 2.047

2.  Identification of adverse drug events: the use of ICD-10 coded diagnoses in routine hospital data.

Authors:  Jürgen Stausberg; Joerg Hasford
Journal:  Dtsch Arztebl Int       Date:  2010-01-15       Impact factor: 5.594

3.  Pharmacy students' retention of knowledge of drug-drug interactions.

Authors:  Adrienne M Gilligan; Terri L Warholak; John E Murphy; Lisa E Hines; Daniel C Malone
Journal:  Am J Pharm Educ       Date:  2011-08-10       Impact factor: 2.047

4.  Polypharmacy, aging and potential drug-drug interactions in outpatients in Taiwan: a retrospective computerized screening study.

Authors:  Chen-Fang Lin; Chun-Yu Wang; Chyi-Huey Bai
Journal:  Drugs Aging       Date:  2011-03-01       Impact factor: 3.923

Review 5.  Predicting the clinical relevance of drug interactions from pre-approval studies.

Authors:  Silvio Caccia; Silvio Garattini; Luca Pasina; Alessandro Nobili
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

6.  The relationship between number of drugs and potential drug-drug interactions in the elderly: a study of over 600,000 elderly patients from the Swedish Prescribed Drug Register.

Authors:  Kristina Johnell; Inga Klarin
Journal:  Drug Saf       Date:  2007       Impact factor: 5.606

7.  Drug-related admissions and hospital-acquired adverse drug events in Germany: a longitudinal analysis from 2003 to 2007 of ICD-10-coded routine data.

Authors:  Jürgen Stausberg; Joerg Hasford
Journal:  BMC Health Serv Res       Date:  2011-05-29       Impact factor: 2.655

8.  Out-patients Prescriptions are Safe from Drug Interactions or Not: A Pilot Study Report.

Authors:  B H Vaidhun; A Sathish
Journal:  Indian J Pharm Sci       Date:  2011-09       Impact factor: 0.975

9.  Frequency and clinical relevance of potential cytochrome P450 drug interactions in a psychiatric patient population - an analysis based on German insurance claims data.

Authors:  Julia K Ostermann; Anne Berghöfer; Frank Andersohn; Felix Fischer
Journal:  BMC Health Serv Res       Date:  2016-09-08       Impact factor: 2.655

10.  Surveillance of Physicians Causing Potential Drug-Drug Interactions in Ambulatory Care: A Pilot Study in Switzerland.

Authors:  Heiner C Bucher; Rita Achermann; Nadja Stohler; Christoph R Meier
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

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