Subscribe to RSS
DOI: 10.1055/s-0042-1755378
Patient Perceptions of Wearable and Smartphone Technologies for Remote Outcome Monitoring in Total Knee Arthroplasties
Abstract
While there is enthusiasm for wearables and smartphone technologies in evaluating clinical outcomes among clinicians, less is known about the willingness of patients who have osteoarthritis (OA) to consent for remote outcome monitoring. We developed an Institutional Review Board-approved questionnaire to assess patient perceptions of remote monitoring technologies in a high-volume orthopaedic clinical center. Fifty total knee arthroplasty (TKA) patients (56% female; mean age: 61 years, range: 23–89) and fifty nonoperative OA knee patients (54% female; mean age: 58 years, range: 25–89) routinely consulted in the clinic as part of their OA treatment and consented to participate in the study. Patient perceptions were compared using Pearson's chi-square analyses with a significance threshold of p < 0.05. We found that TKA patients were more receptive to the use of smartphone apps (84 vs. 60%, p = 0.008) and wearable sensors (80 vs. 48%, p < 0.001) and learning to use custom wearables (72 vs. 38%, p = 0.002) than nonoperative OA knee patients as part of their treatment. Likewise, the majority of TKA patients were willing to use the global positioning system in their postoperative technology (54 vs. 18%, p < 0.001), especially if they were only active during certain circumstances (62 vs. 24%, p < 0.001). TKA patients also expressed willingness to have their body movement (68%), balance (70%), sleep (76%), and cardiac output (80%) tracked using remote technologies. Overall, we found that TKA patients were highly receptive to using wearable technology in their treatments, whereas nonoperative OA knee patients were generally unreceptive. Our study challenges the concept that current wearable technology approaches will be generally effective as a tool to remotely monitor all patients across the OA severity landscape.
Note
This work was performed at Exponent, Inc., Philadelphia, PA, USA. Each author certifies that all investigations were conducted in conformity with the ethical principles of research.
Publication History
Received: 26 February 2022
Accepted: 19 June 2022
Article published online:
01 September 2022
© 2022. Thieme. All rights reserved.
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
-
References
- 1 Abdelaal MS, Restrepo C, Sharkey PF. Global perspectives on arthroplasty of hip and knee joints. Orthop Clin North Am 2020; 51 (02) 169-176
- 2 Sloan M, Premkumar A, Sheth NP. Projected volume of primary total joint arthroplasty in the U.S., 2014 to 2030. J Bone Joint Surg Am 2018; 100 (17) 1455-1460
- 3 Kurtz SM, Ong KL, Lau E. et al. International survey of primary and revision total knee replacement. Int Orthop 2011; 35 (12) 1783-1789
- 4 Kurtz SM, Lau EC, Ong KL, Adler EM, Kolisek FR, Manley MT. Which clinical and patient factors influence the national economic burden of hospital readmissions after total joint arthroplasty?. Clin Orthop Relat Res 2017; 475 (12) 2926-2937
- 5 Swarup I, Henn CM, Gulotta LV, Henn III RF. Patient expectations and satisfaction in orthopaedic surgery: a review of the literature. J Clin Orthop Trauma 2019; 10 (04) 755-760
- 6 Kahlenberg CA, Nwachukwu BU, McLawhorn AS, Cross MB, Cornell CN, Padgett DE. Patient satisfaction after total knee replacement: a systematic review. HSS J 2018; 14 (02) 192-201
- 7 Mehta SJ, Hume E, Troxel AB. et al. Effect of remote monitoring on discharge to home, return to activity, and rehospitalization after hip and knee arthroplasty: a randomized clinical trial. JAMA Netw Open 2020; 3 (12) e2028328
- 8 Gruner MP, Hogaboom N, Hasley I. et al. Prospective, single-blind, randomized controlled trial to evaluate the effectiveness of a digital exercise therapy application compared with conventional physical therapy for the treatment of nonoperative knee conditions. Arch Rehabil Res Clin Transl 2021; 3 (04) 100151
- 9 Bäcker HC, Wu CH, Schulz MRG, Weber-Spickschen TS, Perka C, Hardt S. App-based rehabilitation program after total knee arthroplasty: a randomized controlled trial. Arch Orthop Trauma Surg 2021; 141 (09) 1575-1582
- 10 Crawford DA, Duwelius PJ, Sneller MA. et al. 2021 Mark Coventry Award: use of a smartphone-based care platform after primary partial and total knee arthroplasty: a prospective randomized controlled trial. Bone Joint J 2021; 103-B (6, Supple A): 3-12
- 11 Bell KM, Onyeukwu C, Smith CN. et al. A portable system for remote rehabilitation following a total knee replacement: a pilot randomized controlled clinical study. Sensors (Basel) 2020; 20 (21) E6118
- 12 Youn IH, Leutzinger T, Youn JH, Zeni JA, Knarr BA. Self-reported and performance-based outcome measures estimation using wearables after unilateral total knee arthroplasty. Front Sports Act Living 2020; 2: 569932
- 13 Beukenhorst AL, Howells K, Cook L. et al. Engagement and participant experiences with consumer smartwatches for health research: longitudinal, observational feasibility study. JMIR Mhealth Uhealth 2020; 8 (01) e14368
- 14 Lyman S, Hidaka C, Fields K, Islam W, Mayman D. Monitoring patient recovery after THA or TKA using mobile technology. HSS J 2020; 16 (Suppl. 02) 358-365
- 15 Pisaniello HL, Dixon WG. What does digitalization hold for the creation of real-world evidence?. Rheumatology (Oxford) 2020; 59 (01) 39-45
- 16 Baumann AP, O'Neill C, Owens MC. et al. FDA public workshop: orthopaedic sensing, measuring, and advanced reporting technology (SMART) devices. J Orthop Res 2021; 39 (01) 22-29
- 17 Knapp PW, Keller RA, Mabee KA, Pillai R, Frisch NB. Quantifying patient engagement in total joint arthroplasty using digital application-based technology. J Arthroplasty 2021; 36 (09) 3108-3117
- 18 Manini TM, Mendoza T, Battula M. et al. Perception of older adults toward smartwatch technology for assessing pain and related patient-reported outcomes: pilot study. JMIR Mhealth Uhealth 2019; 7 (03) e10044
- 19 Benda NC, Alexopoulos GS, Marino P, Sirey JA, Kiosses D, Ancker JS. The age limit does not exist: a pilot usability assessment of a SMS-messaging and smartwatch-based intervention for older adults with depression. AMIA Annu Symp Proc 2021; 2020: 213-222