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Patient-Centered Prescription Model to improve therapeutic adherence in patients with multimorbidity

Overview of attention for article published in Farmacia Hospitalaria, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 368)
  • Good Attention Score compared to outputs of the same age (79th percentile)

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16 X users

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10 Dimensions

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69 Mendeley
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Title
Patient-Centered Prescription Model to improve therapeutic adherence in patients with multimorbidity
Published in
Farmacia Hospitalaria, May 2018
DOI 10.7399/fh.10961
Pubmed ID
Authors

Javier González-Bueno, Elena Calvo-Cidoncha, Daniel Sevilla-Sánchez, Núria Molist-Brunet, Joan Espaulella-Panicot, Carles Codina-Jané

Abstract

To date, interventions to improve medication adherence in patients with multimorbidity have shown modest and inconsistent efficacy among  available studies. Thereby, we should define new approaches aimed at improving medication adherence tailored to effective prescribing, with a multidisciplinary approach and patient-centered.In this regard, the Patient-Centered Prescription Model has shown its usefulness on improving appropriateness of drug treatments in patients with clinical complexity. For that, this strategy addresses the following four steps: 1) Patient-Centered assessment; 2) Diagnosis-Centered assessment; 3) Medication-Centered assessment; and 4) Therapeutic Plan.We propose through a clinical case an adaptation of the Patient-Centered Prescription Model to enhance both appropriateness and medication adherence in patients with multimorbidity. To this end, we have  included on its first step the Spanish version of a cross-culturally adapted scale  for the multidimensional assessment of medication adherence. Furthermore, we suggest a set of interventions to be applied in the three remaining steps of  the model. These interventions were firstly identified by an overview of systematic reviews and then selected by a panel of experts based on Delphi methodology.All of these elements have been considered appropriate in patients with multimorbidity according to three criteria: strength of their supporting  evidence, usefulness in the target population and feasibility of implementation in clinical practice.The proposed approach intends to lay the foundations for an innovative way in  tackling medication adherence in patients with multimorbidity.

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X Demographics

The data shown below were collected from the profiles of 16 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Researcher 8 12%
Other 5 7%
Student > Bachelor 5 7%
Student > Master 5 7%
Other 12 17%
Unknown 25 36%
Readers by discipline Count As %
Medicine and Dentistry 24 35%
Pharmacology, Toxicology and Pharmaceutical Science 12 17%
Business, Management and Accounting 2 3%
Social Sciences 2 3%
Agricultural and Biological Sciences 1 1%
Other 2 3%
Unknown 26 38%
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 17 April 2023.
All research outputs
#3,544,232
of 25,382,440 outputs
Outputs from Farmacia Hospitalaria
#17
of 368 outputs
Outputs of similar age
#67,993
of 339,234 outputs
Outputs of similar age from Farmacia Hospitalaria
#1
of 3 outputs
Altmetric has tracked 25,382,440 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 368 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 95% 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 339,234 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 79% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them