Clinical correlates of workplace injury occurrence and recurrence in adults

English version

Autoři: Zhaoyi Chen ^aff001; Mattia Prosperi ^aff001; Jiang Bian ^aff002; Jae Min ^aff001; Mo Wang ^aff003; Chang Li ^aff004
Působiště autorů: Department of Epidemiology, University of Florida, Gainesville, Florida, United States of America ^aff001; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, United States of America ^aff002; Department of Management, University of Florida, Gainesville, Florida, United States of America ^aff003; School of Business Administration, Zhejiang Gongshang University, Hangzhou, China ^aff004
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0222603

Souhrn

Objectives

To examine the morbidities associated with workplace injury and to explore how clinical variables modify the risk of injury recurrence.

Methods

A case-control study was designed using Florida’s statewide inpatient, outpatient, and emergency visits data obtained from the Healthcare Cost and Utilization Project. We included adults who were admitted for a workplace injury (WPI) or injury at other places (IOP), and a matched population of random controls without WPI/IOP. The associations between WPI and clinical morbidities were assessed by univariate and multivariable regression, ranking predictors by information gain, area under the receiver operating characteristic (AUROC), and odds ratios. We analyzed WPI recurrence using survival methods (Kaplan-Meier, Cox regression, survival decision trees) and developed prediction models via regularized logistic regression, random forest, and AdTree. Performance was assessed by 10-fold cross-validation comparing AUROC, sensitivity, specificity, and Harrell’s c-index.

Results

A total of 80,712 WPI, 161,424 IOP, and 161,424 control patients were included; 485 distinct clinical diagnostic and 160 procedure codes were analyzed after filtering. Acute bronchitis and bronchiolitis, sprains and strains of shoulder and upper arm, ankle and foot, or other and unspecified parts of back, accidents caused by cutting and piercing instruments or objects, and overexertion and strenuous movements were identified as important consequences of WPI. The prediction models of injury recurrence identified several key factors, such as insurance type and prior injury events, although none of the models exhibited high predictive performance (best AUROC = 0.60, best c-index = 0.62).

Conclusions

WPI is associated to diverse serious physical comorbidity burden. There are demographic, social and clinical comorbidity components associated to the risk of WPI recurrence, although their predictive value is moderate, which warrants future investigation in other information source domains, e.g. deepening into the environmental and societal sphere.

Klíčová slova:

Medicine and health sciences – Pulmonology – Bronchitis – Diagnostic medicine – Critical care and emergency medicine – Health care – Health economics – Research and analysis methods – Mathematical and statistical techniques – Statistical methods – Physical sciences – Mathematics – Statistics – Engineering and technology – Management engineering – Risk management – Insurance – People and places – Geographical locations – North America – United States – Florida – Biology and life sciences – Psychology – Behavior – Drug abuse – Social sciences – Economics – Health insurance

Zdroje

1. Bureau of Labor Statistics USD of L. EMPLOYER-REPORTED WORKPLACE INJURIES AND ILLNESSES-2016 [Internet]. [cited 4 Feb 2019]. Available: www.bls.gov/iif

2. Leigh JP. Economic burden of occupational injury and illness in the United States. Milbank Q. 2011; doi: 10.1111/j.1468-0009.2011.00648.x 22188353

3. Liberty Mutual Group. 2017 Liberty Mutual Workplace Safety Index [Internet]. [cited 4 Feb 2019]. Available: https://www.libertymutualgroup.com/about-liberty-mutual-site/news-site/Pages/2017-Liberty-Mutual-Workplace-Safety-Index.aspx

4. Brown JA, Shannon HS, Mustard CA, McDonough P. Social and economic consequences of workplace injury: A population-based study of workers in British Columbia, Canada. Am J Ind Med. 2007; doi: 10.1002/ajim.20503 17680640

5. Schulte PA, Pana-Cryan R, Schnorr T, Schill AL, Guerin R, Felknor S, et al. An approach to assess the burden of work-related injury, disease, and distress. American Journal of Public Health. 2017. doi: 10.2105/AJPH.2017.303765 28520495

6. HCUP-US Home Page [Internet]. [cited 2 Jan 2019]. Available: https://www.hcup-us.ahrq.gov/

7. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, et al. Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data. Med Care. 2005;43: 1130–1139. doi: 10.1097/01.mlr.0000182534.19832.83 16224307

8. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45: 613–619. doi: 10.1016/0895-4356(92)90133-8 1607900

9. Health Innovation Program. 2000 Area Deprivation Index. In: 2014 [Internet]. Available: https://www.hipxchange.org/ADI

10. Caruana R, Niculescu-Mizil A. Data mining in metric space: An empirical analysis of supervised learning performance criteria. Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2004. 1-58113-888-1/04/0008

11. R Development Core Team R. R: A Language and Environment for Statistical Computing [Internet]. R Foundation for Statistical Computing. 2011. doi: 10.1007/978-3-540-74686-7

12. Steege AL, Baron SL, Marsh SM, Menéndez CC, Myers JR. Examining occupational health and safety disparities using national data: A cause for continuing concern. Am J Ind Med. 2014; doi: 10.1002/ajim.22297 24436156

13. Nicholson VJ, Bunn TL, Costich JF. Disparities in work-related injuries associated with worker compensation coverage status. Am J Ind Med. 2008; doi: 10.1002/ajim.20565 18381597

14. Ruseckaite R, Collie A. Repeat workers’ compensation claims: Risk factors, costs and work disability. BMC Public Health. 2011; doi: 10.1186/1471-2458-11-492 21696637

15. Konstantinidis A, Talving P, Kobayashi L, Barmparas G, Plurad D, Lam L, et al. Work-related injuries: Injury characteristics, survival, and age effect. Am Surg. 2011;

16. Pichora D, Grant H. Upper extremity injured workers stratified by current work status: an examination of health characteristics, work limitations and work instability. Int J Occup Environ Med. 2010;

17. Cho YM, Lee J, Choi M, Choi WS, Myong JP, Kim HR, et al. Work-related COPD after years of occupational exposure. Ann Occup Environ Med. 2015; doi: 10.1186/s40557-015-0056-1 25767717

18. Boschetto P, Quintavalle S, Miotto D, Lo Cascio N, Zeni E, Mapp CE. Chronic obstructive pulmonary disease (COPD) and occupational exposures. Journal of Occupational Medicine and Toxicology. 2006. doi: 10.1186/1745-6673-1-11 16756686

19. Cullinan P. Occupation and chronic obstructive pulmonary disease (COPD). British Medical Bulletin. 2012. doi: 10.1093/bmb/lds028 23080418

20. Woolford MH, Bugeja L, Driscoll T, Ibrahim JE. Missed opportunities to prevent workplace injuries and fatalities. New Solut. 2017;27: 16–27. doi: 10.1177/1048291117693389 28186434

21. Orchard C, Carnide N, Smith P. How Does Perceived Fairness in the Workers’ Compensation Claims Process Affect Mental Health Following a Workplace Injury? J Occup Rehabil. 2019; doi: 10.1007/s10926-019-09844-3 31302817

22. Applebaum ScD KM, Asfaw A, O PK, Busey AB, Tripodis Y, Boden LI, et al. Suicide and drug-related mortality following occupational injury. Am J Ind Med. 2019;62. doi: 10.1002/ajim.23021 31298756

Clinical correlates of workplace injury occurrence and recurrence in adults

Souhrn

Objectives

Methods

Results

Conclusions

Klíčová slova:

Zdroje

PLOS One

Svět praktické medicíny 3/2024 (znalostní test z časopisu)

Kardiologické projevy hypereozinofilií

Střevní příprava před kolonoskopií

Aktuální možnosti diagnostiky a léčby litiáz

Závislosti moderní doby – digitální závislosti a hypnotika