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Smartphone apps for improving medication adherence in hypertension: patients’ perspectives

Overview of attention for article published in Patient preference and adherence, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 1,208)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
42 tweeters

Citations

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13 Dimensions

Readers on

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90 Mendeley
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Title
Smartphone apps for improving medication adherence in hypertension: patients’ perspectives
Published in
Patient preference and adherence, May 2018
DOI 10.2147/ppa.s145647
Pubmed ID
Authors

Eimear C Morrissey, Monica Casey, Liam G Glynn, Jane C Walsh, Gerard J Molloy

Abstract

Digital interventions, such as smartphone applications (apps), are becoming an increasingly common way to support medication adherence and self-management in chronic conditions. It is important to investigate how patients feel about and engage with these technologies. The aim of this study was to explore patients' perspectives on smartphone apps to improve medication adherence in hypertension. This was a qualitative study based in the West of Ireland. Twenty-four patients with hypertension were purposively sampled and engaged in focus groups. Thematic analysis on the data was carried out. Participants ranged in age from 50 to 83 years (M=65 years) with an equal split between men and women. Three major themes were identified in relation to patients' perspectives on smartphone apps to improve medication adherence in hypertension: "development of digital competence," "rules of engagement," and "sustainability" of these technologies. These data showed that patients can identify the benefits of a medication reminder and recognize that self-monitoring their blood pressure could be empowering in terms of their understanding of the condition and interactions with their general practitioners. However, the data also revealed that there are concerns about increasing health-related anxiety and doubts about the sustainability of this technology over time. This suggests that the current patient perspective of smartphone apps might be best characterized by "ambivalence."

Twitter Demographics

The data shown below were collected from the profiles of 42 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Student > Master 15 17%
Student > Bachelor 9 10%
Researcher 9 10%
Student > Doctoral Student 8 9%
Other 21 23%
Unknown 11 12%
Readers by discipline Count As %
Medicine and Dentistry 25 28%
Nursing and Health Professions 11 12%
Psychology 7 8%
Computer Science 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Other 19 21%
Unknown 16 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 21 February 2019.
All research outputs
#727,113
of 15,184,608 outputs
Outputs from Patient preference and adherence
#25
of 1,208 outputs
Outputs of similar age
#24,373
of 278,037 outputs
Outputs of similar age from Patient preference and adherence
#2
of 34 outputs
Altmetric has tracked 15,184,608 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,208 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 278,037 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.