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Assessment of sleep in patients with fibromyalgia: qualitative development of the fibromyalgia sleep diary

Overview of attention for article published in Health and Quality of Life Outcomes, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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3 X users

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121 Mendeley
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Title
Assessment of sleep in patients with fibromyalgia: qualitative development of the fibromyalgia sleep diary
Published in
Health and Quality of Life Outcomes, July 2014
DOI 10.1186/s12955-014-0111-6
Pubmed ID
Authors

Leah Kleinman, Sally Mannix, Lesley M Arnold, Claire Burbridge, Kellee Howard, Kelly McQuarrie, Verne Pitman, Malca Resnick, Tom Roth, Tara Symonds

Abstract

ObjectivesSleep disturbance is a common experience in fibromyalgia (FM). The field lacks a sleep specific patient reported outcome (PRO) measure developed and validated in a FM population. The study objective is to gain an in-depth understanding of sleep in FM and to develop a PRO measure of it.MethodsResearch involved the following stages: 1) A literature review conducted to identify key concepts associated with FM patient experience of sleep and PRO measures that have been used to assess this; 2) Qualitative interviews with therapeutic area experts; 3) Focus groups with FM patients who experienced sleep disturbance; 4) Development of a conceptual framework and the Fibromyalgia Sleep Diary (FMSD); and 5) Cognitive interviews with patients to explore content validity of the FMSD.ResultsThe literature review and expert interviews supported sleep disturbance being an important aspect of the FM patient experience, and underscored the need for a new FM specific sleep PRO measure. Results from the focus groups demonstrated that FM patients experience sleep disturbances that they attribute to their FM symptoms, such as pain and stiffness, confirming the importance of understanding more about sleep changes. Aspects of sleep raised by FM patients included poor sleep quality and insufficient quantity including difficulty with falling asleep, getting comfortable, and staying asleep; restlessness; light sleep; not feeling rested upon awakening; and difficulty starting the day. Cognitive interview results showed that the 8-item FMSD, developed to reflect the concepts identified above, was relevant to FM patients with content that was interpreted as intended.ConclusionsThe FMSD was developed in line with the recommendations of the FDA PRO guidance and ISPOR PRO Task Force. The qualitative evidence generated thus far strongly supports the content validity of the FMSD as a PRO measure of sleep disturbance in FM populations. Psychometric evaluation of the FMSD to demonstrate reliability, validity and sensitivity to change is recommended as a next step.

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The data shown below were collected from the profiles of 3 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Spain 1 <1%
United States 1 <1%
Australia 1 <1%
Unknown 116 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 17%
Researcher 16 13%
Student > Bachelor 15 12%
Student > Postgraduate 10 8%
Student > Ph. D. Student 9 7%
Other 19 16%
Unknown 31 26%
Readers by discipline Count As %
Medicine and Dentistry 34 28%
Nursing and Health Professions 16 13%
Psychology 15 12%
Social Sciences 5 4%
Agricultural and Biological Sciences 4 3%
Other 13 11%
Unknown 34 28%
Attention Score in Context

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 20 May 2015.
All research outputs
#13,311,359
of 22,758,963 outputs
Outputs from Health and Quality of Life Outcomes
#1,014
of 2,158 outputs
Outputs of similar age
#107,969
of 226,893 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#5
of 19 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 52% 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 226,893 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 52% of its contemporaries.
We're also able to compare this research output to 19 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 73% of its contemporaries.