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Characterizing athletic healthcare: A perspective on methodological challenges, lessons learned, and paths forward.
Kenneth C Lam1, Alison R Snyder Valier2,3, Tamara C Valovich McLeod2,3
1Department of Interdisciplinary Health Sciences, Arizona School of Health Sciences, A.T. Still University, Mesa, AZ, United States.
This study addresses challenges in collecting athletic healthcare data for better injury prevention and rehabilitation. Establishing best practices for data entry and processing can improve patient outcomes and athletic trainer care.
Area of Science:
- Sports Medicine
- Athletic Training Research
- Clinical Data Analysis
Background:
- Growing emphasis on large datasets in sports medicine.
- Limited research on the effectiveness of athletic healthcare interventions.
- Need for improved quality of care provided by athletic trainers.
Purpose of the Study:
- Identify challenges in characterizing athletic healthcare using large databases.
- Describe strategies to address data collection and processing issues.
- Promote consistency in athletic healthcare data analysis and reporting.
Main Methods:
- Perspective piece discussing methodological challenges.
- Focus on data entry (quality, reliability) and data extraction (variability, missing data).
- Leveraging guidelines from sports and medicine research.
Main Results:
- Identified challenges in data quality, reliability, variability, and missing data.
- Proposed strategies to overcome these methodological hurdles.
- Highlighted the importance of addressing these issues for research.
Conclusions:
- Sharing challenges and solutions can improve athletic healthcare data consistency.
- Standardized approaches enhance the analysis and reporting of clinical data.
- Ultimately aims to improve patient outcomes and athletic trainer effectiveness.
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