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Essential reporting items within a law enforcement recruit injury and physical performance database: A modified
Myles C Murphy1,2, Simone Radavelli-Bagatini1, Garth Allen3
1Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
This study developed reporting guidelines for law enforcement recruit training, focusing on injury and performance data. Key findings highlight the need for truthful data collection and performance-based assessments over body fat metrics.
Area of Science:
- Law enforcement training
- Epidemiology
- Occupational health
Background:
- Law enforcement recruit training programs require standardized data collection for injury surveillance and performance monitoring.
- Existing data collection methods may not capture accurate injury and performance metrics.
- Stakeholder input is crucial for developing effective reporting guidelines.
Purpose of the Study:
- To develop reporting guidelines for epidemiological injury and physical performance data in law enforcement recruit training.
- To collate perceptions and experiences of key stakeholders regarding data collection.
- To establish consensus on essential data points for injury surveillance and performance monitoring.
Main Methods:
- An augmented Delphi consensus process was employed.
- Initial data item generation through semi-structured interviews and surveys.
- Participants included police officers, training staff, occupational health and safety personnel, high-performance staff from sport and military, and injury epidemiologists.
Main Results:
- Fifteen representatives from six stakeholder groups participated.
- Key themes emerged: recruits may not report truthfully, data must be acted upon, and performance should be prioritized over body fat assessments.
- Three distinct reporting databases were generated, covering demographic, injury, and performance data.
Conclusions:
- Established clear guidelines for collecting demographic, injury, and performance data in law enforcement recruit training.
- Identified data points unlikely to be reported truthfully, aiding clinicians in assessing information reliability.
- Recommendations support improved injury surveillance and performance monitoring within these programs.
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