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

Authors Nikaido T, Fukuma S, Wakita T, Sekiguchi M, Yabuki S, Onishi Y, Fukuhara S, Konno S

Received 11 December 2016

Accepted for publication 27 April 2017

Published 1 August 2017 Volume 2017:10 Pages 1853—1859

DOI https://doi.org/10.2147/JPR.S129957

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Katherine Hanlon

Takuya Nikaido,1 Shingo Fukuma,2,3 Takafumi Wakita,4 Miho Sekiguchi,1 Shoji Yabuki,1 Yoshihiro Onishi,5 Shunichi Fukuhara,2,3 Shin-ichi Konno1

On behalf of the profile scoring system for multilateral assessment of social factors in patients with chronic musculoskeletal pain study group

1Department of Orthopaedic Surgery, Fukushima Medical University School of Medicine, Fukushima, 2Department of Healthcare Epidemiology, Kyoto University, Graduate School of Medicine and Public Health, Kyoto, 3Center for Innovative Research for Communities and Clinical Excellence (CIRC2LE), Fukushima Medical University, Fukushima, 4Department of Sociology, Kansai University, Osaka, 5Institute for Health Outcomes and Process Evaluation Research (iHope International), Kyoto, Japan

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.

Keywords: chronic musculoskeletal pain, psychosocial factors, family and work environment, pain-related quality of life, profile scoring system

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