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Arthroscopic Rotator Cuff Repair Metrics: Establishing Face, Content, and Construct Validity in a Cadaveric Model
Richard L Angelo1, Joe Tauro2, Pat St Pierre3
1ProOrtho Clinic, Kirkland, Washington, U.S.A..
Summary
Performance metrics for arthroscopic rotator cuff repair (ARCR) were validated using cadaveric shoulders. Experienced surgeons established a proficiency benchmark, showing novices made significantly more errors.
Area of Science:
- Orthopaedic Surgery
- Surgical Education
- Biomedical Engineering
Background:
- Arthroscopic rotator cuff repair (ARCR) is a common procedure.
- Objective performance metrics are needed to assess surgeon proficiency.
- Cadaveric models offer a standardized platform for surgical skill evaluation.
Purpose of the Study:
- To develop and validate performance metrics for ARCR.
- To confirm construct validity using a cadaveric shoulder model.
- To establish a proficiency benchmark for ARCR.
Main Methods:
- Experienced surgeons developed step, error, and sentinel error metrics for ARCR.
- A modified Delphi panel assessed face and content validity.
- Experienced surgeons and novice residents performed ARCR on cadaveric shoulders, with procedures videotaped and scored.
Main Results:
- Consensus was reached on 42 steps and 66 potential errors.
- High inter-rater reliability (0.93) was observed.
- Novice surgeons performed fewer steps and made significantly more errors than experienced surgeons.
Conclusions:
- Validated ARCR metrics demonstrated face, content, and construct validity.
- A proficiency benchmark was established based on experienced surgeon performance.
- Cadaveric models with validated metrics accurately assess ARCR performance.

