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Razmjou H, Denis S, Robarts S, Falconer J, Anunciacion M, Nunn A, Wainwright A, Dickson P, Najafi R, Murnaghan J. Virtual performance measure in osteoarthritis: An innovative transformation of patient care. OSTEOARTHRITIS AND CARTILAGE OPEN 2023; 5:100410. [PMID: 37829082 PMCID: PMC10565872 DOI: 10.1016/j.ocarto.2023.100410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 09/19/2023] [Indexed: 10/14/2023] Open
Abstract
Objectives The purpose of this study was to develop and establish reliability and validity of a virtual performance measure (VPM) score that encompassed 10 videos in patients with osteoarthritis of the knee joint. Patients' experience and satisfaction were documented. Design Forty videos were chosen for 10 functional tasks, with four videos showing increasing difficulty for each task. Patients were requested to choose the video that best reflected their own situation. Clinical and radiological findings and self-report and performance measures were completed. Results Data of 100 patients, 70 (70%) females, mean age: 65 ± 9 were examined. The Cronbach's alpha coefficient that examined internal consistency of the VPM score was 0.92. The intraclass correlation value of 0.82 was obtained for test-retest reliability. Factor analysis showed three distinct domains. There was moderate correlations between the VPM score and the self-report and actual performance measures ranging from r = 0.46 to 0.66. The VPM summated score of 10 activities was able to differentiate between candidates and non-candidates for knee arthroplasty, with the area under the curve value of 0.90 indicating excellent predictive validity. The overall patient experience and satisfaction was positive with 67% of participants feeling that virtual care could have an impact on minimizing physical presence in the clinic or hospital. Conclusions The VPM is a reliable and valid outcome measure in patients with osteoarthritis of the knee joint. This digital tool has the potential to transform osteoarthritis care by providing a valid remote measurement of real-life functional limitations and reduce the burden of time consuming in-person tests.
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Affiliation(s)
- Helen Razmjou
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Suzanne Denis
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Susan Robarts
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - James Falconer
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Mark Anunciacion
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Andrea Nunn
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Amy Wainwright
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Patricia Dickson
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Roxana Najafi
- Bone and Joint Program, Holland Orthopedic & Arthritic Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Physical Therapy, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - John Murnaghan
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada
- Division of Orthopedic Surgery, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Canada
- Division of Orthopaedic Surgery, Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Canada
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Swinnen TW, Milosevic M, Van Huffel S, Dankaerts W, Westhovens R, de Vlam K. Instrumented BASFI (iBASFI) Shows Promising Reliability and Validity in the Assessment of Activity Limitations in Axial Spondyloarthritis. J Rheumatol 2016; 43:1532-40. [PMID: 27307537 DOI: 10.3899/jrheum.150439] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2016] [Indexed: 11/22/2022]
Abstract
OBJECTIVE The Bath Ankylosing Spondylitis Functional Index (BASFI) is the most popular method to assess activity capacity in axial spondyloarthritis (axSpA), to our knowledge. It is endorsed by the Assessment of Spondyloarthritis international Society. But it may have recall bias or aberrant self-judgments in individual patients. Therefore, we aimed to (1) develop the instrumented BASFI (iBASFI) by adding a body-worn accelerometer with automated algorithms to performance-based measurements (PBM), (2) study the iBASFI's core psychometric properties, and (3) reduce the number of iBASFI items. METHODS Twenty-eight patients with axSpA wore a 2-axial accelerometer while completing 12 PBM derived from the BASFI. A chronometer and both manual and "automated algorithm-based" acceleration segmentation identified movement time. Test-retest trials and methods (algorithm vs manual segmentation/chronometer/BASFI) were compared with ICC, standard error of measurement [percentage of movement time (SEM%)], and Spearman ρ correlation coefficients. Linear regression identified the optimal set of reliable iBASFI PBM. RESULTS Good to excellent test-retest reliability was found for 8/12 iBASFI items (ICC range 0.812-0.997, SEM range 0.4-30.4%), typically with repeated and fast movements. Automated algorithms excellently mimicked manual segmentation (ICC range 0.900-0.998) and the chronometer (ICC range 0.878-0.998) for 10/12 iBASFI items. Construct validity compared with the BASFI was confirmed for 7/12 iBASFI items (δ range 0.504-0.755). Together, sit-to-stand speed test (stBeta 0.483), cervical rotation (stBeta -0.392), and height (stBeta -0.375) explained 59% of the variance in the BASFI (p < 0.01). CONCLUSION The proof-of-concept iBASFI showed promising reliability and validity in measuring activity capacity. The number of the iBASFI's PBM may be minimized, but further validation in larger axSpA cohorts is needed before its clinical use.
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Affiliation(s)
- Thijs Willem Swinnen
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Milica Milosevic
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Sabine Van Huffel
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Wim Dankaerts
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Rene Westhovens
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven
| | - Kurt de Vlam
- From the Division of Rheumatology, University Hospitals Leuven; Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven; iMinds, Medical Information Technology, KU Leuven, Leuven, Belgium.T.W. Swinnen, PT, MSc, Doctoral Research Fellow, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, and Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; M. Milosevic, MSc Eng, Doctoral Research Fellow, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; S. Van Huffel, MSc Eng, PhD, Full Professor Biomedical Data Processing, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, Department of Electrical Engineering, KU Leuven, and iMinds, Medical Information Technology, KU Leuven; W. Dankaerts, PT, PhD, Professor Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Unit, Department of Rehabilitation Sciences, KU Leuven; R. Westhovens, MD, PhD, Full Professor Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven; K. de Vlam, MD, PhD, Principal Investigator Clinical Rheumatology, Division of Rheumatology, University Hospitals Leuven, and Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven.
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