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Patient-perceived barriers and facilitators to the implementation of a medication review in primary care: a qualitative thematic analysis

Overview of attention for article published in BMC Primary Care, January 2018
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Title
Patient-perceived barriers and facilitators to the implementation of a medication review in primary care: a qualitative thematic analysis
Published in
BMC Primary Care, January 2018
DOI 10.1186/s12875-017-0707-0
Pubmed ID
Authors

Mirella Carolin Uhl, Christiane Muth, Ferdinand Michael Gerlach, Goentje-Gesine Schoch, Beate Sigrid Müller

Abstract

Although polypharmacy can cause adverse health outcomes, patients often know little about their medication. A regularly conducted medication review (MR) can help provide an overview of a patient's medication, and benefit patients by enhancing their knowledge of their drugs. As little is known about patient attitudes towards MRs in primary care, the objective of this study was to gain insight into patient-perceived barriers and facilitators to the implementation of an MR. We conducted a qualitative study with a convenience sample of 31 patients (age ≥ 60 years, ≥3 chronic diseases, taking ≥5 drugs/d); in Hesse, Germany, in February 2016. We conducted two focus groups and, in order to ensure the participation of elderly patients with reduced mobility, 16 telephone interviews. Both relied on a semi-structured interview guide dealing with the following subjects: patients' experience of polypharmacy, general design of MRs, potential barriers and facilitators to implementation etc. Interviews were audio-recorded, transcribed verbatim, and analysed by two researchers using thematic analysis. Patients' average age was 74 years (range 62-88 years). We identified barriers and facilitators for four main topics regarding the implementation of MRs in primary care: patient participation, GP-led MRs, pharmacist-led MRs, and the involvement of healthcare assistants in MRs. Barriers to patient participation concerned patient autonomy, while facilitators involved patient awareness of medication-related problems. Barriers to GP-led MRs concerned GP's lack of resources while facilitators related to the trusting relationship between patient and GP. Pharmacist-led MRs might be hindered by a lack of patients' confidence in pharmacists' expertise, but facilitated by pharmacies' digital records of the patients' medications. Regarding the involvement of healthcare assistants in MRs, a potential barrier was patients' uncertainty regarding the extent of their training. Patients could, however, imagine GPs delegating some aspects of MRs to them. Our study suggests that patients regard MRs as beneficial and expect indications for their medicines to be checked, and possible interactions to be identified. To foster the implementation of MRs in primary care, it is important to consider barriers and facilitators to the four identified topics.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 14%
Student > Bachelor 18 12%
Student > Ph. D. Student 17 12%
Researcher 14 10%
Other 7 5%
Other 14 10%
Unknown 55 38%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 22 15%
Nursing and Health Professions 20 14%
Medicine and Dentistry 13 9%
Agricultural and Biological Sciences 5 3%
Social Sciences 5 3%
Other 19 13%
Unknown 61 42%
Attention Score in Context

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 11 January 2018.
All research outputs
#15,523,434
of 25,382,440 outputs
Outputs from BMC Primary Care
#1,432
of 2,359 outputs
Outputs of similar age
#243,116
of 449,622 outputs
Outputs of similar age from BMC Primary Care
#28
of 51 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 38th percentile – i.e., 38% 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 449,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.