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Factors affecting the delivery of community pharmacist-led medication reviews: evidence from the MedsCheck annual service in Ontario

Overview of attention for article published in BMC Health Services Research, November 2016
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
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3 tweeters

Citations

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18 Dimensions

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56 Mendeley
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Title
Factors affecting the delivery of community pharmacist-led medication reviews: evidence from the MedsCheck annual service in Ontario
Published in
BMC Health Services Research, November 2016
DOI 10.1186/s12913-016-1888-2
Pubmed ID
Authors

Petros Pechlivanoglou, Lusine Abrahamyan, Linda MacKeigan, Giulia P. Consiglio, Lisa Dolovich, Ping Li, Suzanne M. Cadarette, Valeria E. Rac, Jonghyun Shin, Murray Krahn

Abstract

Medication reviews have become part of pharmacy practice across developed countries. This study aimed to identify factors affecting the likelihood of eligible Ontario seniors receiving a pharmacy-led medication review called MedsCheck annual (MCA). We designed a cohort study using a random sample of pharmacy claims for MCA-eligible Ontario seniors using linked administrative data from April 2012 to March 2013. Guided by a conceptual framework, we constructed a generalized-estimating-equations model to estimate the effect of patient, pharmacy and community factors on the likelihood of receiving MCA. Of the 2,878,958 eligible claim-dates, 65,605 included an MCA. Compared to eligible individuals who did not receive an MCA, recipients were more likely to have a prior MCA (OR = 3.03), receive a new medication on the claim-date (OR = 1.78), be hypertensive (OR = 1.18) or have a recent hospitalization (OR = 1.07). MCA recipients had fewer medications (e.g., OR = 0.44 for ≥12 medications versus 0-4 medications), and were less likely to receive an MCA in a rural (OR = 0.74) or high-volume pharmacy (OR = 0.65). The most important determinant of receiving an MCA was having had a prior MCA. Overall, MCA recipients were healthier, younger, urban-dwelling, and taking fewer medications than non-recipients. Policies regarding current and future medication review programs may need to evolve to ensure that those at greatest need receive timely and comprehensive medication reviews.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Student > Bachelor 7 13%
Student > Master 6 11%
Researcher 6 11%
Student > Postgraduate 4 7%
Other 10 18%
Unknown 15 27%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 12 21%
Nursing and Health Professions 7 13%
Medicine and Dentistry 6 11%
Social Sciences 4 7%
Economics, Econometrics and Finance 2 4%
Other 8 14%
Unknown 17 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 February 2017.
All research outputs
#6,352,045
of 11,343,411 outputs
Outputs from BMC Health Services Research
#2,079
of 3,597 outputs
Outputs of similar age
#141,984
of 320,515 outputs
Outputs of similar age from BMC Health Services Research
#55
of 98 outputs
Altmetric has tracked 11,343,411 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,597 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.