Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48801, first published .
Using Presurgical Biopsychosocial Features to Develop an Advanced Clinical Decision-Making Support Tool for Predicting Recovery Trajectories in Patients Undergoing Total Knee Arthroplasty: Protocol for a Prospective Observational Study

Using Presurgical Biopsychosocial Features to Develop an Advanced Clinical Decision-Making Support Tool for Predicting Recovery Trajectories in Patients Undergoing Total Knee Arthroplasty: Protocol for a Prospective Observational Study

Using Presurgical Biopsychosocial Features to Develop an Advanced Clinical Decision-Making Support Tool for Predicting Recovery Trajectories in Patients Undergoing Total Knee Arthroplasty: Protocol for a Prospective Observational Study

Karen Ribbons   1, 2, 3 , BSc (Hons), PhD ;   Sarah Johnson   1, 2, 4 , BEng, PhD ;   Elizabeth Ditton   1, 2, 3 , BA (Psych), MA (Psych-Clin), PhD ;   Adrian Wills   1, 2, 4 , BEng, PhD ;   Gillian Mason   2 , BPhys ;   Traci Flynn   5 , PhD ;   Jodie Cochrane   1, 2, 4 , BEng (Hons) ;   Michael Pollack   1, 3, 6 * , MBBS, MMSc ;   Frederick Rohan Walker   1, 2, 3 * , BA (Hons), PhD ;   Michael Nilsson   1, 2, 3, 7 * , MD, PhD

1 Centre for Rehab Innovations, University of Newcastle, New Lambton Heights, Australia

2 Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, Australia

3 College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia

4 College of Science and Engineering, University of Newcastle, Callaghan, Australia

5 College of Human and Social Futures, University of Newcastle, Callaghan, Australia

6 Hunter New England Local Health District, Rankin Park Centre, New Lambton Heights, Australia

7 Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

*these authors contributed equally

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