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A comparison of three methods to generate a conceptual understanding of a disease based on the patients’ perspective

Overview of attention for article published in Journal of Patient-Reported Outcomes, December 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
A comparison of three methods to generate a conceptual understanding of a disease based on the patients’ perspective
Published in
Journal of Patient-Reported Outcomes, December 2017
DOI 10.1186/s41687-017-0013-6
Pubmed ID
Authors

Louise Humphrey, Thomas Willgoss, Andrew Trigg, Stephanie Meysner, Mary Kane, Sally Dickinson, Helen Kitchen

Abstract

The Food and Drug Administration patient-reported outcome (PRO) guidance provides standards for PRO development, but these standards bring scientific and logistical challenges which can result in a lengthy and expensive instrument development process. Thus, more pragmatic methods are needed alongside traditional approaches. Partnering with the National Ankylosing Spondylitis (AS) Society, we compared three methods for eliciting patient experiences: 1) concept elicitation (CE) interviews with 12 individuals with AS, 2) "group concept mapping" (GCM) with 16 individuals with AS, 3) a social media review (SMR) of AS online chatrooms. Three conceptual models were developed and compared to explore data breadth/depth, as well as the practicalities and patient-centeredness. Overlap in concepts was observed between conceptual models; 35% of symptoms were identified by all methods. The SMR approach identified the most concepts (n = 23), followed by CE interviews (n = 18), and GCM (n = 15). Eight symptoms were uniquely identified using GCM and SMR. Eliciting in-depth data was challenging for SMR as detail was not always provided. Insight into the relationships between symptoms was obtained as a "concept map" in GCM, via effective probing within interviews, and through the subject's descriptions in SMR. Practical investment varied; CE interviews were the most resource intensive, whereas SMR was the least. Individuals in GCM and CE interviews reported high engagement. Primary CE interviews achieved the greatest depth in conceptual understanding of patient experience; however, novel methods (GCM, SMR) provide complementary approaches for identifying measurement concepts. Each method has strengths and weaknesses and should be selected based on specific research objectives.

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X Demographics

The data shown below were collected from the profiles of 10 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Other 3 10%
Student > Ph. D. Student 3 10%
Professor > Associate Professor 3 10%
Student > Master 2 7%
Other 6 20%
Unknown 8 27%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Nursing and Health Professions 4 13%
Social Sciences 4 13%
Arts and Humanities 2 7%
Neuroscience 2 7%
Other 2 7%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 27 October 2018.
All research outputs
#4,470,332
of 23,012,811 outputs
Outputs from Journal of Patient-Reported Outcomes
#72
of 503 outputs
Outputs of similar age
#97,221
of 440,404 outputs
Outputs of similar age from Journal of Patient-Reported Outcomes
#1
of 5 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 503 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 85% 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 440,404 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 77% of its contemporaries.
We're also able to compare this research output to 5 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