Literature DB >> 28370742

Evaluation of drug-related problems in older polypharmacy primary care patients.

Sandra Vezmar Kovačević1, Branislava Miljković1, Milica Ćulafić1, Milena Kovačević1, Bojana Golubović1, Marija Jovanović1, Katarina Vučićević1, Johan J de Gier2.   

Abstract

AIMS AND
OBJECTIVES: Targeting older patients with predictive factors for drug-related problems (DRPs) could make clinical medication reviews more cost-effective. The aim of this study was to identify the number, type, and potential predictive factors for DRPs in older polypharmacy patients.
METHODS: Community pharmacists performed clinical medication reviews and documented DRPs, types of interventions, and their implementation in older patients.
RESULTS: Three hundred eighty-eight medication reviews were analyzed, 964 DRPs (average 2.5 ± 1.9), and 1022 interventions (average 2.6 ± 2.0) were identified. The overall implementation rate of interventions was 70.1%, the highest was observed in interventions aiming to resolve the lack of therapy monitoring (86.8%). Patients with ≥12 medications had an increased risk of ≥5 DRPs (P < .001). Asthma was associated with lack of adherence (P = .002), lack of aspirin, statins, and proton pump inhibitors use with additional therapy needed (P = .002-.004). Predictive factors for drug interactions were antihypertensive medications and/or medications with narrow therapeutic index (P < .05). Lack of efficacy was associated with diabetes (P = .006). Nonsteroidal anti-inflammatory drugs were risk factors for inappropriate drug selection (P = .002). Lack of monitoring was associated with hypertension (P = .013), whereas benzodiazepines (P < .001) and aspirin (P = .021) were overused.
CONCLUSION: Patients with asthma, hypertension, and diabetes and lack of statin, antithrombotic agent, and/or proton pump inhibitor use were associated with higher risks for DRPs.
© 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  clinical medication review; community pharmacy; drug-related problems; older patients; polypharmacy

Mesh:

Year:  2017        PMID: 28370742     DOI: 10.1111/jep.12737

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  11 in total

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