Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study
Abstract Opioid use is only recommended in selected cases of musculoskeletal (MSK) injuries. We assessed factors associated with increased opioid use in MSK injuries. In a retrospective analysis of over four million workers with MSK injuries using the Swiss National Accident Insurance Fund (Suva) da...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-52477-7 |
| _version_ | 1797276592590815232 |
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| author | Stefan Markus Scholz Nicolas Fabrice Thalmann Dominic Müller Maurizio Alen Trippolini Maria Monika Wertli |
| author_facet | Stefan Markus Scholz Nicolas Fabrice Thalmann Dominic Müller Maurizio Alen Trippolini Maria Monika Wertli |
| author_sort | Stefan Markus Scholz |
| collection | DOAJ |
| description | Abstract Opioid use is only recommended in selected cases of musculoskeletal (MSK) injuries. We assessed factors associated with increased opioid use in MSK injuries. In a retrospective analysis of over four million workers with MSK injuries using the Swiss National Accident Insurance Fund (Suva) database, we analyzed risk factors by multivariate logistic regression. Injury severity was associated with pain medication, opioid, and strong opioid use. Whereas fractures, contusions, and ruptures had higher odds for any pain medication use, increased odds for strong opioids were observed in fractures, superficial injuries, and other injuries. Injuries of the shoulders, elbow, chest, back/spine, thorax, and pelvis/hips showed high odds for opioid use (odds ratio (OR) > 2.0). Injuries of the shoulders had higher odds for strong opioid use (OR 1.136; 95% CI 1.040–1.241). The odds for using strong opioids increased from 2008 OR 0.843 (95% confidence interval (CI) 0.798–0.891) to 2018 OR 1.503 (95% CI 1.431–1.578), compared to 2013. Injury severity, type of injury, and injured body parts influenced the use of pain medication and overall opioid use in musculoskeletal injuries. Strong opioids were more often used in fractures but also in superficial and other minor injuries, which indicates that other factors play a role when prescribing strong opioids. |
| first_indexed | 2024-03-07T15:30:25Z |
| format | Article |
| id | doaj.art-23eb24a158ae4eeeb352af82d2d72b27 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:30:25Z |
| publishDate | 2024-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-23eb24a158ae4eeeb352af82d2d72b272024-03-05T16:26:15ZengNature PortfolioScientific Reports2045-23222024-01-0114111210.1038/s41598-024-52477-7Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database studyStefan Markus Scholz0Nicolas Fabrice Thalmann1Dominic Müller2Maurizio Alen Trippolini3Maria Monika Wertli4Department of Statistics, Suva (Swiss National Accident Insurance Fund)Department of General Internal Medicine, University Hospital of Bern, InselspitalDepartment of General Internal Medicine, University Hospital of Bern, InselspitalSchool of Health Professions, Bern University of Applied SciencesDepartment of General Internal Medicine, University Hospital of Bern, InselspitalAbstract Opioid use is only recommended in selected cases of musculoskeletal (MSK) injuries. We assessed factors associated with increased opioid use in MSK injuries. In a retrospective analysis of over four million workers with MSK injuries using the Swiss National Accident Insurance Fund (Suva) database, we analyzed risk factors by multivariate logistic regression. Injury severity was associated with pain medication, opioid, and strong opioid use. Whereas fractures, contusions, and ruptures had higher odds for any pain medication use, increased odds for strong opioids were observed in fractures, superficial injuries, and other injuries. Injuries of the shoulders, elbow, chest, back/spine, thorax, and pelvis/hips showed high odds for opioid use (odds ratio (OR) > 2.0). Injuries of the shoulders had higher odds for strong opioid use (OR 1.136; 95% CI 1.040–1.241). The odds for using strong opioids increased from 2008 OR 0.843 (95% confidence interval (CI) 0.798–0.891) to 2018 OR 1.503 (95% CI 1.431–1.578), compared to 2013. Injury severity, type of injury, and injured body parts influenced the use of pain medication and overall opioid use in musculoskeletal injuries. Strong opioids were more often used in fractures but also in superficial and other minor injuries, which indicates that other factors play a role when prescribing strong opioids.https://doi.org/10.1038/s41598-024-52477-7 |
| spellingShingle | Stefan Markus Scholz Nicolas Fabrice Thalmann Dominic Müller Maurizio Alen Trippolini Maria Monika Wertli Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study Scientific Reports |
| title | Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study |
| title_full | Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study |
| title_fullStr | Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study |
| title_full_unstemmed | Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study |
| title_short | Factors influencing pain medication and opioid use in patients with musculoskeletal injuries: a retrospective insurance claims database study |
| title_sort | factors influencing pain medication and opioid use in patients with musculoskeletal injuries a retrospective insurance claims database study |
| url | https://doi.org/10.1038/s41598-024-52477-7 |
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