Literature DB >> 14664659

Retrospective drug utilization review: incidence of clinically relevant potential drug-drug interactions in a large ambulatory population.

Catherine C Peng, Peter A Glassman, Iny R Marks, Curtis Fowler, Brenda Castiglione, Chester B Good.   

Abstract

OBJECTIVE: To determine the incidence of clinically relevant potential drug-drug interactions (DDIs) in a large population of ambulatory patients utilizing a computerized, retrospective drug utilization review (DUR) program followed by clinical pharmacist audit.
METHODS: The drug claims database included approximately 2.9 million patients with more than 30 million prescriptions dispensed in the 12-month period from September 2001 through August 2002. Cases were identified by a computerized, retrospective DUR program with embedded triggers to detect 69 prespecified potentially serious DDIs, with "serious" defined as an interaction that would likely require a change in therapy or use of additional clinical or laboratory monitoring. Two types of automated, computerized assessments were conducted: the first simply detected coprescribed drug pairs, and the second assessment used more sophisticated filters to reduce false positive alerts for coprescribed drug pairs. Clinical pharmacist audit then determined the final incidence of clinically relevant warnings; in this audit, coprescribed drug pairs were defined as clinically relevant if they could cause potentially serious DDIs.
RESULTS: Eighteen drug pairs had insufficient cases for inclusion, leaving 51 drug pairs for evaluation. A total of 244,703 cases of potential DDIs were identified (0.8% of total prescription claims) by simple automated screens. More sophisticated DDI filters reduced the 244,703 potential DDIs by 70.8%, to a total of 65,544 pairs (0.2% of total prescription claims). Clinical pharmacist review reduced the number of potential DDIs by an additional 80.6%, to 12,722 drug pairs (0.04% of total prescription claims) deemed clinically relevant. The combination of sophisticated DDI filters and clinical pharmacist review reduced the incidence of potentially serious DDIs by 94.3%.
CONCLUSION: The incidence of potentially serious DDIs is relatively low (less than 1%) among ambulatory patients; however, the incidence depends on the method of case finding. Retrospective DUR programs, especially those with additional automated filters or that utilize additional pharmacist review, appear to be important screening tools in determining true rates of coprescribed drug pairs that can lead to potentially serious DDIs.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14664659     DOI: 10.18553/jmcp.2003.9.6.513

Source DB:  PubMed          Journal:  J Manag Care Pharm        ISSN: 1083-4087


  25 in total

1.  Clinical risk management in Dutch community pharmacies: the case of drug-drug interactions.

Authors:  Henk Buurma; Peter A G M De Smet; Antoine C G Egberts
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

2.  Management of potential drug interactions in community pharmacies: a questionnaire-based survey in Switzerland.

Authors:  Jörg Indermitte; Laura Erba; Marianne Beutler; Rudolf Bruppacher; Walter E Haefeli; Kurt E Hersberger
Journal:  Eur J Clin Pharmacol       Date:  2007-01-11       Impact factor: 2.953

3.  Practitioners' views on computerized drug-drug interaction alerts in the VA system.

Authors:  Yu Ko; Jacob Abarca; Daniel C Malone; Donna C Dare; Doug Geraets; Antoun Houranieh; William N Jones; W Paul Nichol; Gregory P Schepers; Michelle Wilhardt
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

4.  Prevalence of adverse drug combinations in a large post-mortem toxicology database.

Authors:  Terhi Launiainen; Erkki Vuori; Ilkka Ojanperä
Journal:  Int J Legal Med       Date:  2008-06-27       Impact factor: 2.686

5.  Frequency and nature of drug-drug interactions in a Dutch university hospital.

Authors:  Jeannette E F Zwart-van Rijkom; Esther V Uijtendaal; Maarten J ten Berg; Wouter W van Solinge; Antoine C G Egberts
Journal:  Br J Clin Pharmacol       Date:  2009-08       Impact factor: 4.335

6.  Pharmacy students' ability to identify potential drug-drug interactions.

Authors:  Kim R Saverno; Daniel C Malone; John Kurowsky
Journal:  Am J Pharm Educ       Date:  2009-04-07       Impact factor: 2.047

7.  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

8.  Identification and evaluation of drug-supplement interactions in Hungarian hospital patients.

Authors:  Anna Végh; Erzsébet Lankó; András Fittler; Róbert György Vida; Ildikó Miseta; Gábor Takács; Lajos Botz
Journal:  Int J Clin Pharm       Date:  2014-02-23

Review 9.  Drug-drug interaction software in clinical practice: a systematic review.

Authors:  Tina Roblek; Tomaz Vaupotic; Ales Mrhar; Mitja Lainscak
Journal:  Eur J Clin Pharmacol       Date:  2014-12-23       Impact factor: 2.953

10.  An evaluation of the completeness of drug-drug interaction-related information in package inserts.

Authors:  Giok Qin Ng; Grant Edward Sklar; Hui Ting Chng
Journal:  Eur J Clin Pharmacol       Date:  2016-10-29       Impact factor: 2.953

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.