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Patient-reported financial barriers to adherence to treatment in neurology

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 525)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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54 news outlets
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3 X users
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1 Facebook page

Citations

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79 Mendeley
Title
Patient-reported financial barriers to adherence to treatment in neurology
Published in
ClinicoEconomics and Outcomes Research: CEOR, November 2016
DOI 10.2147/ceor.s119971
Pubmed ID
Authors

Lidia MVR Moura, Eli L Schwamm, Valdery Moura, Michael P Seitz, Daniel B Hoch, John Hsu, Lee H Schwamm

Abstract

Many effective medical therapies are available for treating neurological diseases, but these therapies tend to be expensive and adherence is critical to their effectiveness. We used patient-reported data to examine the frequency and determinants of financial barriers to medication adherence among individuals treated for neurological disorders. Patients completed cross-sectional surveys on iPads as part of routine outpatient care in a neurology clinic. Survey responses from a 3-month period were collected and merged with administrative sources of demographic and clinical information (eg, insurance type). We explored the association between patient characteristics and patient-reported failure to refill prescription medication due to cost in the previous 12 months, termed here as "nonadherence". The population studied comprised 6075 adults who were presented between July and September 2015 for outpatient neurology appointments. The mean age of participants was 56 (standard deviation: 18) years, and 1613 (54%) were females. The patients who participated in the surveys (2992, 49%) were comparable to nonparticipants with respect to gender and ethnicity but more often identified English as their preferred language (94% vs 6%, p<0.01). Among respondents, 9.8% (n=265) reported nonadherence that varied by condition. These patients were more frequently Hispanic (16.7% vs 9.8% white, p=0.01), living alone (13.9% vs 8.9% cohabitating, p<0.01), and preferred a language other than English (15.3% vs 9.4%, p=0.02). Overall, the magnitude of financial barriers to medication adherence appears to vary across neurological conditions and demographic characteristics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 22 28%
Student > Ph. D. Student 9 11%
Student > Master 8 10%
Student > Bachelor 4 5%
Lecturer > Senior Lecturer 4 5%
Other 11 14%
Unknown 21 27%
Readers by discipline Count As %
Nursing and Health Professions 32 41%
Medicine and Dentistry 11 14%
Neuroscience 4 5%
Computer Science 3 4%
Social Sciences 2 3%
Other 4 5%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 425. 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 2017.
All research outputs
#67,810
of 25,457,858 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#2
of 525 outputs
Outputs of similar age
#1,517
of 318,026 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#1
of 17 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done particularly well, scoring higher than 99% 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 318,026 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 99% of its contemporaries.
We're also able to compare this research output to 17 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.