In European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
PURPOSE : Software algorithms are increasingly available as clinical decision support tools (CDSTs) to support shared decision-making. We sought to understand if patient-specific predictions from a CDST would impact orthopedic surgeons' preoperative planning decisions and corresponding confidence.
METHODS : We performed a survey study of orthopedic surgeons with at minimum of 2 years of independent shoulder arthroplasty experience. We generated patient profiles for 18 faux cases presenting with glenohumeral osteoarthritis and emailed 93 surgeons requesting their recommendation for anatomic or reverse total shoulder arthroplasty for each case and their certainty in their recommendation on a 4-point Likert scale. The thirty respondents were later sent a second survey with the same cases that now included predicted patient-specific outcomes and complication rates generated by a CDST.
RESULTS : Initial recommendations and changes in recommendation varied widely by surgeon and by case. After viewing the results of the CDST, surgeons switched from anatomic to reverse recommendations in 46 instances (12% of initial anatomic) and from reverse to anatomic in 22 instances (6% of initial reverse). Overall, surgeon change in confidence increased significantly across all responses (p = 0.0001), with certain cases and certain surgeons having significant changes. Change in confidence did not correlate with surgeon-specific factors, including years in practice.
CONCLUSION : The addition of CDST reports to preoperative planning for anatomic and reverse total shoulder arthroplasty informed decision-making but did not direct recommendations uniformly. However, the CDST information provided did increase surgeon confidence regardless of implant selection and irrespective of surgeon experience.
Simmons Chelsey S, Roche Christopher, Schoch Bradley S, Parsons Moby, Aibinder William R
2022-Nov-27
Machine learning, Patient-specific predictions, Prediction, Predictive, Preoperative planning, Shoulder replacement
