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Measuring medication adherence in older community-dwelling patients with multimorbidity

Overview of attention for article published in European Journal of Clinical Pharmacology, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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143 Mendeley
Title
Measuring medication adherence in older community-dwelling patients with multimorbidity
Published in
European Journal of Clinical Pharmacology, December 2017
DOI 10.1007/s00228-017-2388-y
Pubmed ID
Authors

San Kim, Kathleen Bennett, Emma Wallace, Tom Fahey, Caitriona Cahir

Abstract

Older people with several chronic conditions require multiple drugs from different classes to be adequately treated. This study aims to: (i) measure medication adherence across multiple conditions and therapeutic drug groups in older community-dwelling patients, and (ii) examine the effect of multimorbidity on adherence. This is a retrospective cohort study of medication adherence in 855 community-dwelling patients aged ≥ 70 years from 15 practices in Ireland using the Health Service Executive Primary Care Reimbursement Service (HSE-PCRS) pharmacy claims database. Multimorbidity was measured using the RxRisk-V and by the number of different drug classes. The RxRisk-V algorithm classifies prescription drug fills into 45 chronic disease classes for older populations based on the WHO Anatomical Therapeutic Chemical classification system. Adherence to medications was assessed by: (i) calculating the average medication possession ratio (MPR) per patient and (ii) an MPR< 80%. The overall median MPR for the cohort was 0.83 (IQR 0.69, 0.91). The conditions with the highest MPRs were hypothyroidism (mean MPR = 0.88, SD = 0.20) and type 2 diabetes (mean MPR = 0.83, SD = 0.19), followed by heart disease. On average, 20-40% of patients were non-adherent (MPR < 80%) across all conditions. There was an inverted U-shaped relationship between the mean MPR and number of morbidities and drug classes. Adherence varied per patients' morbidity burden, with higher adherence for certain combinations of chronic conditions. In total, 31% of older patients with multimorbidity were non-adherent to their medication but adherence levels varied across treatment categories and chronic conditions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 14%
Student > Ph. D. Student 18 13%
Researcher 13 9%
Student > Doctoral Student 12 8%
Student > Bachelor 10 7%
Other 24 17%
Unknown 46 32%
Readers by discipline Count As %
Medicine and Dentistry 33 23%
Nursing and Health Professions 21 15%
Pharmacology, Toxicology and Pharmaceutical Science 13 9%
Psychology 4 3%
Social Sciences 4 3%
Other 16 11%
Unknown 52 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 December 2018.
All research outputs
#2,973,067
of 23,011,300 outputs
Outputs from European Journal of Clinical Pharmacology
#229
of 2,570 outputs
Outputs of similar age
#67,928
of 438,955 outputs
Outputs of similar age from European Journal of Clinical Pharmacology
#7
of 37 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,570 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 90% of its peers.
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 438,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.