A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach

Luis Sánchez-Guillén, Carlos Lozano-Quijada, Álvaro Soler-Silva, Sergio Hernández-Sánchez, Xavier Barber, José V. Toledo-Marhuenda, Francisco López-Rodríguez-Arias, Emilio J. Poveda-Pagán, César González Mora, Antonio Arroyo
{"title":"A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach","authors":"Luis Sánchez-Guillén, Carlos Lozano-Quijada, Álvaro Soler-Silva, Sergio Hernández-Sánchez, Xavier Barber, José V. Toledo-Marhuenda, Francisco López-Rodríguez-Arias, Emilio J. Poveda-Pagán, César González Mora, Antonio Arroyo","doi":"10.1007/s00464-024-11237-4","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>Surgical specialists experience significant musculoskeletal strain as a consequence of their profession, a domain within the healthcare system often recognized for the pronounced impact of such issues. The aim of this study is to calculate the risk of presenting musculoskeletal injuries in surgeons after surgical practice.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Cross-sectional study carried out using an online form (12/2021–03/2022) aimed at members of the Spanish Association of Surgeons. Demographic variables on physical and professional activity were recorded, as well as musculoskeletal pain (MSP) associated with surgical activity. Univariate and multivariate analysis were conducted to identify risk factors associated with the development of MSP based on personalized surgical activity. To achieve this, a risk algorithm was computed and an online machine learning calculator was created to predict them. Physiotherapeutic recommendations were generated to address and alleviate each MSP.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>A total of 651 surgeons (112 trainees, 539 specialists). 90.6% reported MSP related to surgical practice, 60% needed any therapeutic measure and 11.7% required a medical leave. In the long term, MSP was most common in the cervical and lumbar regions (52.4, 58.5%, respectively). Statistically significant risk factors (OR CI 95%) were for trunk pain, long interventions without breaks (3.02, 1.65–5.54). Obesity, indicated by BMI, to lumbar pain (4.36, 1.84–12.1), while an inappropriate laparoscopic screen location was associated with cervical and trunk pain (1.95, 1.28–2.98 and 2.16, 1.37–3.44, respectively). A predictive model and an online calculator were developed to assess MSP risk. Furthermore, a need for enhanced ergonomics training was identified by 89.6% of surgeons.</p><h3 data-test=\"abstract-sub-heading\">Conclusions</h3><p>The prevalence of MSP among surgeons is a prevalent but often overlooked health concern. Implementing a risk calculator could enable tailored prevention strategies, addressing modifiable factors like ergonomics.</p>","PeriodicalId":501625,"journal":{"name":"Surgical Endoscopy","volume":"29 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgical Endoscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00464-024-11237-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Surgical specialists experience significant musculoskeletal strain as a consequence of their profession, a domain within the healthcare system often recognized for the pronounced impact of such issues. The aim of this study is to calculate the risk of presenting musculoskeletal injuries in surgeons after surgical practice.

Methods

Cross-sectional study carried out using an online form (12/2021–03/2022) aimed at members of the Spanish Association of Surgeons. Demographic variables on physical and professional activity were recorded, as well as musculoskeletal pain (MSP) associated with surgical activity. Univariate and multivariate analysis were conducted to identify risk factors associated with the development of MSP based on personalized surgical activity. To achieve this, a risk algorithm was computed and an online machine learning calculator was created to predict them. Physiotherapeutic recommendations were generated to address and alleviate each MSP.

Results

A total of 651 surgeons (112 trainees, 539 specialists). 90.6% reported MSP related to surgical practice, 60% needed any therapeutic measure and 11.7% required a medical leave. In the long term, MSP was most common in the cervical and lumbar regions (52.4, 58.5%, respectively). Statistically significant risk factors (OR CI 95%) were for trunk pain, long interventions without breaks (3.02, 1.65–5.54). Obesity, indicated by BMI, to lumbar pain (4.36, 1.84–12.1), while an inappropriate laparoscopic screen location was associated with cervical and trunk pain (1.95, 1.28–2.98 and 2.16, 1.37–3.44, respectively). A predictive model and an online calculator were developed to assess MSP risk. Furthermore, a need for enhanced ergonomics training was identified by 89.6% of surgeons.

Conclusions

The prevalence of MSP among surgeons is a prevalent but often overlooked health concern. Implementing a risk calculator could enable tailored prevention strategies, addressing modifiable factors like ergonomics.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
外科医生肌肉骨骼损伤预测计算器:一种机器学习方法
背景外科专家因其职业而遭受严重的肌肉骨骼劳损,而医疗保健系统中的这一领域往往被公认为是此类问题影响明显的领域。本研究的目的是计算外科医生在手术实践后出现肌肉骨骼损伤的风险。方法通过一份针对西班牙外科医生协会会员的在线表格(12/2021-03/2022)进行横断面研究。研究记录了有关体力和职业活动的人口统计学变量,以及与手术活动相关的肌肉骨骼疼痛(MSP)。研究人员进行了单变量和多变量分析,以根据个性化的手术活动确定与 MSP 发展相关的风险因素。为此,计算了风险算法,并创建了在线机器学习计算器来预测这些风险。结果共有 651 名外科医生(112 名受训者,539 名专家)报告了与 MSP 相关的 90.6%。90.6%的外科医生报告了与手术实践相关的MSP,60%的外科医生需要采取任何治疗措施,11.7%的外科医生需要休病假。从长期来看,MSP 最常见于颈椎和腰椎区域(分别为 52.4%和 58.5%)。据统计,躯干疼痛的重要风险因素(OR CI 95%)是长时间干预而不休息(3.02,1.65-5.54)。体重指数显示的肥胖与腰痛有关(4.36,1.84-12.1),而腹腔镜筛查位置不当与颈椎和躯干疼痛有关(分别为1.95,1.28-2.98和2.16,1.37-3.44)。我们开发了一个预测模型和一个在线计算器来评估 MSP 风险。此外,89.6% 的外科医生认为需要加强工效学培训。采用风险计算器可以制定有针对性的预防策略,解决工效学等可改变的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Short-term gut microbiota’s shift after laparoscopic Roux-en-Y vs one anastomosis gastric bypass: results of a multicenter randomized control trial Classifying frailty in the ventral hernia population Retrospective study on endoscopic treatment of recurrent esophageal cancer patients after radiotherapy State of the art medical devices for fluorescence-guided surgery (FGS): technical review and future developments Conquering the common bile duct: outcomes in minimally invasive transcystic common bile duct exploration versus ERCP
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1