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Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study

BACKGROUND: Musculoskeletal pain is a major cause of physical disability, associated with huge socioeconomic burden. Patient preference for treatment is an important factor contributing to the choice of treatment strategies. However, effective measurements for evaluating the ongoing management of mu...

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Autores principales: Mei, Fengyao, Dong, Shengjie, Li, Jiaojiao, Xing, Dan, Lin, Jianhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308742/
https://www.ncbi.nlm.nih.gov/pubmed/37386480
http://dx.doi.org/10.1186/s12891-023-06665-7
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author Mei, Fengyao
Dong, Shengjie
Li, Jiaojiao
Xing, Dan
Lin, Jianhao
author_facet Mei, Fengyao
Dong, Shengjie
Li, Jiaojiao
Xing, Dan
Lin, Jianhao
author_sort Mei, Fengyao
collection PubMed
description BACKGROUND: Musculoskeletal pain is a major cause of physical disability, associated with huge socioeconomic burden. Patient preference for treatment is an important factor contributing to the choice of treatment strategies. However, effective measurements for evaluating the ongoing management of musculoskeletal pain are lacking. To help improve clinical decision making, it’s important to estimate the current state of musculoskeletal pain management and analyze the contribution of patient treatment preference. METHODS: A nationally representative sample for the Chinese population was derived from the China Health and Retirement Longitudinal Study (CHARLS). Information on the patients’ demographic characteristics, socioeconomic status, other health-related behavior, as well as history on musculoskeletal pain and treatment data were obtained. The data was used to estimate the status of musculoskeletal pain treatment in China in the year 2018. Univariate analysis and multivariate analysis were used to find the effect factors of treatment preference. XGBoost model and Shapley Additive exPlanations (SHAP) method were performed to analyze the contribution of each variable to different treatment preferences. RESULTS: Among 18,814 respondents, 10,346 respondents suffered from musculoskeletal pain. Approximately 50% of musculoskeletal pain patients preferred modern medicine, while about 20% chose traditional Chinese medicine and another 15% chose acupuncture or massage therapy. Differing preferences for musculoskeletal pain treatment was related to the respondents’ gender, age, place of residence, education level, insurance status, and health-related behavior such as smoking and drinking. Compared with upper or lower limb pain, neck pain and lower back pain were more likely to make respondents choose massage therapy (P < 0.05). A greater number of pain sites was associated with an increasing preference for respondents to seek medical care for musculoskeletal pain (P < 0.05), while different pain sites did not affect treatment preference. CONCLUSION: Factors including gender, age, socioeconomic status, and health-related behavior may have potential effects on people’ s choice of treatment for musculoskeletal pain. The information derived from this study may be useful for helping to inform clinical decisions for orthopedic surgeons when devising treatment strategies for musculoskeletal pain. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-023-06665-7.
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spelling pubmed-103087422023-06-30 Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study Mei, Fengyao Dong, Shengjie Li, Jiaojiao Xing, Dan Lin, Jianhao BMC Musculoskelet Disord Research BACKGROUND: Musculoskeletal pain is a major cause of physical disability, associated with huge socioeconomic burden. Patient preference for treatment is an important factor contributing to the choice of treatment strategies. However, effective measurements for evaluating the ongoing management of musculoskeletal pain are lacking. To help improve clinical decision making, it’s important to estimate the current state of musculoskeletal pain management and analyze the contribution of patient treatment preference. METHODS: A nationally representative sample for the Chinese population was derived from the China Health and Retirement Longitudinal Study (CHARLS). Information on the patients’ demographic characteristics, socioeconomic status, other health-related behavior, as well as history on musculoskeletal pain and treatment data were obtained. The data was used to estimate the status of musculoskeletal pain treatment in China in the year 2018. Univariate analysis and multivariate analysis were used to find the effect factors of treatment preference. XGBoost model and Shapley Additive exPlanations (SHAP) method were performed to analyze the contribution of each variable to different treatment preferences. RESULTS: Among 18,814 respondents, 10,346 respondents suffered from musculoskeletal pain. Approximately 50% of musculoskeletal pain patients preferred modern medicine, while about 20% chose traditional Chinese medicine and another 15% chose acupuncture or massage therapy. Differing preferences for musculoskeletal pain treatment was related to the respondents’ gender, age, place of residence, education level, insurance status, and health-related behavior such as smoking and drinking. Compared with upper or lower limb pain, neck pain and lower back pain were more likely to make respondents choose massage therapy (P < 0.05). A greater number of pain sites was associated with an increasing preference for respondents to seek medical care for musculoskeletal pain (P < 0.05), while different pain sites did not affect treatment preference. CONCLUSION: Factors including gender, age, socioeconomic status, and health-related behavior may have potential effects on people’ s choice of treatment for musculoskeletal pain. The information derived from this study may be useful for helping to inform clinical decisions for orthopedic surgeons when devising treatment strategies for musculoskeletal pain. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-023-06665-7. BioMed Central 2023-06-29 /pmc/articles/PMC10308742/ /pubmed/37386480 http://dx.doi.org/10.1186/s12891-023-06665-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mei, Fengyao
Dong, Shengjie
Li, Jiaojiao
Xing, Dan
Lin, Jianhao
Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study
title Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study
title_full Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study
title_fullStr Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study
title_full_unstemmed Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study
title_short Preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the China health and retirement longitudinal study
title_sort preference of musculoskeletal pain treatment in middle-aged and elderly chinese people: a machine learning analysis of the china health and retirement longitudinal study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308742/
https://www.ncbi.nlm.nih.gov/pubmed/37386480
http://dx.doi.org/10.1186/s12891-023-06665-7
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