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

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 pa...

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Autores principales: Nikaido, Takuya, Fukuma, Shingo, Wakita, Takafumi, Sekiguchi, Miho, Yabuki, Shoji, Onishi, Yoshihiro, Fukuhara, Shunichi, Konno, Shin-ichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546811/
https://www.ncbi.nlm.nih.gov/pubmed/28814896
http://dx.doi.org/10.2147/JPR.S129957
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author Nikaido, Takuya
Fukuma, Shingo
Wakita, Takafumi
Sekiguchi, Miho
Yabuki, Shoji
Onishi, Yoshihiro
Fukuhara, Shunichi
Konno, Shin-ichi
author_facet Nikaido, Takuya
Fukuma, Shingo
Wakita, Takafumi
Sekiguchi, Miho
Yabuki, Shoji
Onishi, Yoshihiro
Fukuhara, Shunichi
Konno, Shin-ichi
author_sort Nikaido, Takuya
collection PubMed
description 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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spelling pubmed-55468112017-08-16 Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain Nikaido, Takuya Fukuma, Shingo Wakita, Takafumi Sekiguchi, Miho Yabuki, Shoji Onishi, Yoshihiro Fukuhara, Shunichi Konno, Shin-ichi J Pain Res Original Research 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. Dove Medical Press 2017-08-01 /pmc/articles/PMC5546811/ /pubmed/28814896 http://dx.doi.org/10.2147/JPR.S129957 Text en © 2017 Nikaido et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Nikaido, Takuya
Fukuma, Shingo
Wakita, Takafumi
Sekiguchi, Miho
Yabuki, Shoji
Onishi, Yoshihiro
Fukuhara, Shunichi
Konno, Shin-ichi
Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
title Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
title_full Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
title_fullStr Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
title_full_unstemmed Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
title_short Development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
title_sort development of a profile scoring system for assessing the psychosocial situation of patients with chronic musculoskeletal pain
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546811/
https://www.ncbi.nlm.nih.gov/pubmed/28814896
http://dx.doi.org/10.2147/JPR.S129957
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