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The Long-Term Conditions Questionnaire: conceptual framework and item development

Overview of attention for article published in Patient related outcome measures, August 2016
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  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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4 tweeters

Citations

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4 Dimensions

Readers on

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11 Mendeley
Title
The Long-Term Conditions Questionnaire: conceptual framework and item development
Published in
Patient related outcome measures, August 2016
DOI 10.2147/prom.s104552
Pubmed ID
Authors

Michele Peters, Caroline Potter, Ray Fitzpatrick, Laura Kelly, Cheryl Hunter, Elizabeth Gibbons, Crispin Jenkinson, Angela Coulter, Julien Forder, Ann-Marie Towers, Christine A'Court, Peters, Michele, Potter, Caroline M, Kelly, Laura, Hunter, Cheryl, Gibbons, Elizabeth, Jenkinson, Crispin, Coulter, Angela, Forder, Julien, Towers, Ann-Marie, A'Court, Christine, Fitzpatrick, Ray

Abstract

To identify the main issues of importance when living with long-term conditions to refine a conceptual framework for informing the item development of a patient-reported outcome measure for long-term conditions. Semi-structured qualitative interviews (n=48) were conducted with people living with at least one long-term condition. Participants were recruited through primary care. The interviews were transcribed verbatim and analyzed by thematic analysis. The analysis served to refine the conceptual framework, based on reviews of the literature and stakeholder consultations, for developing candidate items for a new measure for long-term conditions. Three main organizing concepts were identified: impact of long-term conditions, experience of services and support, and self-care. The findings helped to refine a conceptual framework, leading to the development of 23 items that represent issues of importance in long-term conditions. The 23 candidate items formed the first draft of the measure, currently named the Long-Term Conditions Questionnaire. The aim of this study was to refine the conceptual framework and develop items for a patient-reported outcome measure for long-term conditions, including single and multiple morbidities and physical and mental health conditions. Qualitative interviews identified the key themes for assessing outcomes in long-term conditions, and these underpinned the development of the initial draft of the measure. These initial items will undergo cognitive testing to refine the items prior to further validation in a survey.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Professor 2 18%
Student > Master 1 9%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Other 2 18%
Readers by discipline Count As %
Psychology 3 27%
Social Sciences 2 18%
Unspecified 2 18%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Other 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 October 2016.
All research outputs
#2,181,606
of 8,472,367 outputs
Outputs from Patient related outcome measures
#18
of 73 outputs
Outputs of similar age
#84,258
of 253,085 outputs
Outputs of similar age from Patient related outcome measures
#1
of 6 outputs
Altmetric has tracked 8,472,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 73 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 73% 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 253,085 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 6 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