Impact of pharmacist activities on medication regimen complexity of patients monitored by pharmacists in family medicine groups (GMF-UMF)
Author(s): ,
Lise Grenier Gosselin
BPharm DPH MSc
Line Gunette
BPharm MSc PhD
Canadian Pharmacists Conference ePoster Library. Samir Abdin M. 06/04/17; 174261; 49
Ms. Madjda Samir Abdin
Ms. Madjda Samir Abdin
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Context: Medication regimen complexity can have a negative impact on medication taking and several health outcomes. Pharmacists working in family medicine groups (GMF or UMF), through their interventions in patients with complex needs could reduce medication regimen complexity. Objective: To compare medication regimen complexity in patients referred to GMF-UMF pharmacists by their physician, before and after pharmacists interventions.

A pre-post intervention study was conducted from August 2015 to April 2016, in patients with complex needs monitored by pharmacists in 4 Quebec City GMF-UMF. Complexity of therapeutic regimens was calculated with the Medication Regimen Complexity Index (MRCI), using medication reconciliation, performed at the start of follow-up (MRCI-1) and 4 to 6 months later (MRCI-2). A two-tailed Student t-test on a paired sample was performed to compare the 2 MRCIs.

Thirty-seven patients with 2 MRCIs were selected for this analysis: 26 women (70.27%) and 11 (29.73%) men. Median age was 74 years (interquartile: 64-82) and the mean Charlson Comorbidity Index (CCI) was 6.95 (± 3.21). The mean number of prescribed drugs at study start was 13.51 (± 5.54) while it was 12.19 (± 5.26) after pharmacists interventions. The mean MRCI-1 was 36.47 (95% confidence interval [CI]: 31.00 to 41.95) and the mean MRCI-2 was 32.41 (95% CI: 27.63 to 37.18). The difference in MRCI means was 4.07 (95% CI: -3.07 to 11.21) with a P-value > 0.05.

Patients with complex needs monitored by pharmacists in GMF-UMF have complex medication regimens. Our results suggest that this medication regimen complexity decreases after GMF-UMF pharmacist interventions. Nevertheless, the difference was not statically significant, probably because of the low statistical power achieved. A study with a larger number of patients, a longer follow-up and a control group would be required.

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