Impact of Tianji orthopedic robot on patient satisfaction and quality of life

Internal fixation (IF) surgery has been promoted with the combination of robotic technology, promising increased accuracy and improved patient prognosis. This study examined the effect of IF surgery using Tianji orthopedic robot on patient satisfaction and quality of life (QoL) over a longitudinal follow-up time. A cohort of 387 patients undergoing IF guided by Tianji orthopedic robot surgery was followed from the pre-surgery phase through 12 months post-surgery. Patient-reported outcome measures, including the Oswestry Disability Index (ODI) and the Short Form Health Survey (SF-36), were administered at baseline, 6 months, and 12 months. In addition, the Newcastle Satisfaction with Nursing Care Scale (NSNCS) was also used to assess patient satisfaction. Data were analyzed using repeated measures analysis of variance. However, only 338 (87.33%) patients who underwent robot-assisted surgery completed the survey. A total of 214 (63.31%) females and 124 (36.68%) males, with an age of 63.76 ± 14 years, were included in the study. The study indicated significant progress in patient satisfaction and QoL. The mean ODI score decreased from 79.1 ± 4.76 pre-surgery to 46.2 ± 6.09 at 12 months (p<0.001), compared to the SF-36 score from 43.5 ± 4.20 to 84 ± 4.8 (p<0.05). Moreover, the NSNCS scores of 86 ± 4.32 reflected high satisfaction levels, indicating that participants were satisfied with their surgical outcomes at the 12-month follow-up. The Tianji orthopedic robot significantly improves patient satisfaction and QoL over a year. These findings confirm the significance of robotic technology and surgical procedures and highlight the essential role of nurses in using telehealth for continuous follow-up care.
- Milicevic F. Advancing Pedicle Screw System: A Descriptive Analysis of Novel Innovative Technology Revolutionizing Possibilities using Intraoperative Augmented Reality Imaging During Spinal Surgery: University of Split. United States: School of Medicine; 2024.
- Liawrungrueang W, Cho ST, Sarasombath P, Kim I, Kim JH. Current trends in artificial intelligence-assisted spine surgery: A systematic review. Asian Spine J. 2024;18(1):146-157. doi: 10.31616/asj.2023.0410
- Iftikhar M, Saqib M, Zareen M, Mumtaz H. Artificial intelligence: Revolutionizing robotic surgery: Review. Ann Med Surg. 2024;86(9):5401-5409. doi: 10.1097/MS9.0000000000002426
- Diana M, Marescaux J. Robotic surgery. J Br Surg. 2015;102(2):e15-e28. doi: 10.1002/bjs.9711
- Moglia A, Georgiou K, Georgiou E, Satava RM, Cuschieri A. A systematic review on artificial intelligence in robot-assisted surgery. Int J Surg. 2021;95:106151. doi: 10.1016/j.ijsu.2021.106151
- Qian L, Wu JY, DiMaio SP, Navab N, Kazanzides P. A review of augmented reality in robotic-assisted surgery. IEEE Trans Med Robot Bionics. 2019;2(1):1-16. doi: 10.1109/TMRB.2019.2957061
- Altahla R, Alshorman J, Tao X. The impact of COVID-19 on epidemiological features of spinal cord injury in Wuhan, China: A comparative study in different time periods. Medicina (Kaunas). 2023;59(10):1699. doi: 10.3390/medicina59101699
- Altahla R, Alshorman J, Tao X. Epidemiological characteristics: Traumatic cervical spinal cord injury in Wuhan-China. Acad Med. 2024;1(3). doi: 10.20935/AcadMed7318
- Najm A, Kostine M, Pauling JD, et al. Multidisciplinary collaboration among young specialists: Results of an international survey by the emerging EULAR network and other young organisations. RMD Open. 2020;6(2):e001398. doi: 10.1136/rmdopen-2020-001398
- Gola M, Brambilla A, Barach P, Signorelli C, Capolongo S. Educational challenges in healthcare design: Training multidisciplinary professionals for future hospitals and healthcare. Ann lg. 2020;32(5):549-566. doi: 10.7416/ai.2020.2375
- Nag DS, Swain A, Sahu S, Sahoo A, Wadhwa G. Multidisciplinary approach toward enhanced recovery after surgery for total knee arthroplasty improves outcomes. World J Clin Cases. 2024;12(9):1549-1554. doi: 10.12998/wjcc.v12.i9.1549
- Yang W, Mai Y, Huang Y, et al. Clinical study of accelerated rehabilitation concept combined with tianji robot-assisted surgery in lumbar degenerative diseases. Nat Sci. 2024;16(10):220-231. doi: 10.4236/ns.2024.1610016
- Huang C, Huang Y, Yang W, et al. Clinical study of tianji robotic-assisted surgery for upper cervical spine fractures. Nat Sci. 2024;16(9):150-161. doi: 10.4236/ns.2024.169012
- Lopez IB, Benzakour A, Mavrogenis A, Benzakour T, Ahmad A, Lemée JM. Robotics in spine surgery: Systematic review of literature. Int Orthop. 2023;47(2):447-456. doi: 10.1007/s00264-022-05508-9
- Reddy K, Gharde P, Tayade H, Patil M, Reddy LS, Surya D. Advancements in robotic surgery: A comprehensive overview of current utilizations and upcoming frontiers. Cureus. 2023;15(12):e50415. doi: 10.7759/cureus.50415
- Reinhold J, Olschewski J, Heilemann LL, Seekamp A, Lippross S, Meurer T. Development of a planned and monitoring robotic assistance and automation for application in orthopedics and trauma surgery. Chirurgie (Heidelb). 2023;94(4):312-317. doi: 10.1007/s00104-023-01844-7
- Prakash R, Agrawal Y. Robotic technology in total knee arthroplasty. Br J Hosp Med (Lond). 2023;84(6):1-9. doi: 10.12968/hmed.2022.0491
- Kuris EO, Anderson GM, Osorio C, Basques B, Alsoof D, Daniels AH. Development of a robotic spine surgery program: Rationale, strategy, challenges, and monitoring of outcomes after implementation. J Bone Joint Surg Am. 2022;104(19):e83. doi: 10.2106/JBJS.22.00022
- Buckthorpe M, Gokeler A, Herrington L, et al. Optimising the early-stage rehabilitation process post-ACL reconstruction. Sports Med. 2024;54(1):49-72. doi: 10.1007/s40279-023-01934-w
- Zanatta F, Farhane-Medina NZ, Adorni R, et al. Combining robot-assisted therapy with virtual reality or using it alone? A systematic review on health-related quality of life in neurological patients. Health Qual Life Outcomes. 2023;21(1):18. doi: 10.1186/s12955-023-02097-y
- Maggio MG, Bonanno M, Manuli A, Calabrò RS. Improving outcomes in people with spinal cord injury: Encouraging results from a multidisciplinary advanced rehabilitation pathway. Brain Sci. 2024;14(2):140. doi: 10.3390/brainsci14020140
- Chow JH, Chan CC. Validation of the Chinese version of the oswestry disability index. Work. 2005;25(4):307-314.
- Li L, Wang H, Shen Y. Chinese SF-36 Health Survey: Translation, cultural adaptation, validation, and normalisation. J Epidemiol Community Health. 2003;57(4):259-263. doi: 10.1136/jech.57.4.259
- Zhang J, Yang L, Wang X, Dai J, Shan W, Wang J. Inpatient satisfaction with nursing care in a backward region: A cross-sectional study from northwestern China. BMJ Open. 2020;10(9):e034196. doi: 10.1136/bmjopen-2019-034196
- Reza AI. Level of Emotional Well Being and Quality of Life among the Paraplegic Spinal Cord Injury Patients after Completing Rehabilitation from Centre for the Rehabilitation of the Paralysed. Bangladesh: Bangladesh Health Professions Institute, Faculty of Medicine, the University; 2024.
- Altahla R, Alshorman J, Ali I, Tao X. A cross-sectional survey on the effects of the COVID-19 pandemic on psychological well-being and quality of life in people with spinal cord injury. J Orthop Surg Res. 2024;19(1):564. doi: 10.1186/s13018-024-04955-x
- Schuijt HJ, Hundersmarck D, Smeeing DP, Van Der Velde D, Weaver MJ. Robot-assisted fracture fixation in orthopaedic trauma surgery: A systematic review. OTA Int. 2021;4(4):e153. doi: 10.1097/OI9.0000000000000153
- Liang W, Zhou C, Bai J, et al. Current advancements in therapeutic approaches in orthopedic surgery: A review of recent trends. Front Bioeng Biotechnol. 2024;12:1328997. doi: 10.3389/fbioe.2024.1328997
- Shi Z, Li ZC, Fan MX, et al. Impact of optical navigation variables on the accuracy of robot-assisted surgery: A study of the TIANJI robot system. J Robot Surg. 2024;18(1):36. doi: 10.1007/s11701-023-01784-8
- Hurtuk AM, Marcinow A, Agrawal A, Old M, Teknos TN, Ozer E. Quality-of-life outcomes in transoral robotic surgery. Otolaryngol Head Neck Surg. 2012;146(1):68-73. doi: 10.1177/0194599811421298
- Golinelli D, Polidoro F, Rosa S, et al. Evaluating the impact of robotic-assisted total knee arthroplasty on quality of care through patient-reported outcome measures in a third-level hospital in Italy: A prospective cohort study. Knee. 2025;52:32-42. doi: 10.1016/j.knee.2024.10.009
- Liow MHL, Goh GSH, Wong MK, Chin PL, Tay DKJ, Yeo SJ. Robotic-assisted total knee arthroplasty may lead to improvement in qualityn quality of care tA 2-year follow-up of a prospective randomized trial. Knee Surg Sports Traumatol Arthrosc. 2017;25(9):2942-2951. doi: 10.1007/s00167-016-4076-3
- Grosso MJ, Li WT, Hozack WJ, Sherman M, Parvizi J, Courtney PM. Short-term outcomes are comparable between robotic-arm assisted and traditional total knee arthroplasty. J Knee Surg. 2022;35(7):798-803. doi: 10.1055/s-0040-1718603
- Karunaratne S, Duan M, Pappas E, et al. The effectiveness of robotic hip and knee arthroplasty on patient-reported outcomes: A systematic review and meta-analysis. Int Orthop. 2019;43:1283-1295. doi: 10.1007/s00264-018-4140-3
- Joo PY, Chen AF, Richards J, et al. Clinical results and patient-reported outcomes following robotic-assisted primary total knee arthroplasty: A multicentre study. Bone Jt Open. 2022;3(7):589-595. doi: 10.1302/2633-1462.37.BJO-2022-0076.R1
- Smith AF, Eccles CJ, Bhimani SJ, et al. Improved patient satisfaction following robotic-assisted total knee arthroplasty. J Knee Surg. 2021;34(7):730-738. doi: 10.1055/s-0039-1700837
- Marchand RC, Sodhi N, Khlopas A, et al. Patient satisfaction outcomes after robotic arm-assisted total knee arthroplasty: A short-term evaluation. J Knee Surg. 2017;30(9):849-853. doi: 10.1055/s-0037-1607450