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Measuring what matters to rare disease patients – reflections on the work by the IRDiRC taskforce on patient-centered outcome measures

Overview of attention for article published in Orphanet Journal of Rare Diseases, November 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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67 X users
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1 Facebook page
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1 Google+ user

Citations

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117 Dimensions

Readers on

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195 Mendeley
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Title
Measuring what matters to rare disease patients – reflections on the work by the IRDiRC taskforce on patient-centered outcome measures
Published in
Orphanet Journal of Rare Diseases, November 2017
DOI 10.1186/s13023-017-0718-x
Pubmed ID
Authors

Thomas Morel, Stefan J. Cano

Abstract

Our ability to evaluate outcomes which genuinely reflect patients' unmet needs, hopes and concerns is of pivotal importance. However, much current clinical research and practice falls short of this objective by selecting outcome measures which do not capture patient value to the fullest. In this Opinion, we discuss Patient-Centered Outcomes Measures (PCOMs), which have the potential to systematically incorporate patient perspectives to measure those outcomes that matter most to patients. We argue for greater multi-stakeholder collaboration to develop PCOMs, with rare disease patients and families at the center. Beyond advancing the science of patient input, PCOMs are powerful tools to translate care or observed treatment benefit into an 'interpretable' measure of patient benefit, and thereby help demonstrate clinical effectiveness. We propose mixed methods psychometric research as the best route to deliver fit-for-purpose PCOMs in rare diseases, as this methodology brings together qualitative and quantitative research methods in tandem with the explicit aim to efficiently utilise data from small samples. And, whether one opts to develop a brand-new PCOM or to select or adapt an existing outcome measure for use in a rare disease, the anchors remain the same: patients, their daily experience of the rare disease, their preferences, core concepts and values. Ultimately, existing value frameworks, registries, and outcomes-based contracts largely fall short of consistently measuring the full range of outcomes that matter to patients. We argue that greater use of PCOMs in rare diseases would enable a fast track to Patient-Centered Care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 22%
Student > Master 21 11%
Student > Ph. D. Student 20 10%
Other 11 6%
Student > Doctoral Student 11 6%
Other 35 18%
Unknown 55 28%
Readers by discipline Count As %
Medicine and Dentistry 42 22%
Nursing and Health Professions 17 9%
Social Sciences 17 9%
Biochemistry, Genetics and Molecular Biology 15 8%
Pharmacology, Toxicology and Pharmaceutical Science 9 5%
Other 37 19%
Unknown 58 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 28 February 2023.
All research outputs
#801,291
of 24,703,339 outputs
Outputs from Orphanet Journal of Rare Diseases
#70
of 2,961 outputs
Outputs of similar age
#17,154
of 334,912 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#7
of 22 outputs
Altmetric has tracked 24,703,339 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,961 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 334,912 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 94% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.