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Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain

Overview of attention for article published in Journal of Pain Research, August 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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9 X users

Citations

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40 Mendeley
Title
Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
Published in
Journal of Pain Research, August 2017
DOI 10.2147/jpr.s129957
Pubmed ID
Authors

Takuya Nikaido, Shingo Fukuma, Takafumi Wakita, Miho Sekiguchi, Shoji Yabuki, Yoshihiro Onishi, Shunichi Fukuhara, Shin-ichi Konno

Abstract

Chronic pain is a manifestation of interactions among physical, psychological, and social conditions, but the latter two, that is, the nonphysical correlates of chronic pain, are only rarely measured. This study aimed to develop a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain. An expert panel chose social and psychological domains considered to be relevant to patients with chronic pain and wrote questions asking about each of those domains. The questionnaire was completed by 252 patients with chronic musculoskeletal pain. Factor analysis was used to select questionnaire items for each domain. Associations and interactions of pain severity and each domain score with pain-related quality of life (PRQOL) were examined using linear regression models. Five domains were chosen: work, family, sleep, mental health, and PRQOL. Then, a total of 17 questions were created for the work, family, and sleep domains. Using the likelihood-ratio test, we found significant interactions with PRQOL in four pairs: severity-family, severity-mental, family-sleep, and work-mental. The association between pain severity and PRQOL was related to each patient's social and psychological situation. These results suggest that interventions for patients with chronic pain may be personalized to account for each individual's psychosocial situation.

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X Demographics

The data shown below were collected from the profiles of 9 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 25%
Other 4 10%
Researcher 3 8%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 7 18%
Unknown 11 28%
Readers by discipline Count As %
Nursing and Health Professions 9 23%
Psychology 5 13%
Social Sciences 3 8%
Medicine and Dentistry 3 8%
Neuroscience 2 5%
Other 5 13%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 August 2017.
All research outputs
#6,119,906
of 23,571,271 outputs
Outputs from Journal of Pain Research
#597
of 1,814 outputs
Outputs of similar age
#94,877
of 318,087 outputs
Outputs of similar age from Journal of Pain Research
#30
of 65 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,814 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 66% 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 318,087 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 69% of its contemporaries.
We're also able to compare this research output to 65 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 55% of its contemporaries.