Page 95 - ITPS-8-3

INNOSC Theranostics and
Pharmacological Sciences Effects of robots on QoL in SCI

ensure statistical significance, variables were selected The high levels of satisfaction in the NSNCS scores
according to their theoretical and clinical relevance. highlight the essential role of both surgical and nursing
The analyses revealed that several predictors, including care in the overall patient experience. The positive effect
age, surgical method, surgery type, fracture type, fracture of robot-assisted surgery on patient care may arise from
region, and admission time, were significantly associated various factors, including reduced pain, faster recovery
with the ODI, SF-36, and NSNCS scores (Table 3). times, and improved post-operative assistance, which
aligns with previous research findings. 36,37 Furthermore,
4. Discussion the use of telehealth for persistent follow-up underscores
the role of nurses in providing continuous care and
Spinal cord injuries are common health issues that show monitoring, which can improve patient satisfaction.
significant physical, psychological, and economic challenges. However, factors such as patient age, associated fractures,
25
Spinal cord abnormalities can cause mobility issues, chronic fracture type, fracture region, and admission to surgery
pain, and neurological symptoms, which affect an individual’s time are significant predictors of lower QoL and patient
overall QoL. In addition, the psychosocial impacts include satisfaction.
increased anxiety, depression, and social isolation, frequently
aggravated by societal prejudice. 26 This study confirms the importance of multidisciplinary
cooperation in patient care. Collaboration between
The involvement of robots in IF surgery has emerged surgeons, nursing staff, and rehabilitation staff is essential
as a significant achievement in orthopedic surgery and in optimizing patient prognosis. The involvement of
care. 27,28 Robotic technology like the Tianji orthopedic nurses in the telehealth follow-up time allows for timely
robot ensures high surgical accuracy, which lead to high interventions, addresses any concerns that may arise
accuracy level of screw placement. This accuracy reduces during recovery, and helps create a supportive environment
28
tissue damage, operative time, and risk of complications. for patients.
29
There was a significant reduction in the ODI scores,
indicating that patients experienced less pain and high As robot technology continues to develop, further
functional ability. This finding supports the advancements research is required to assess its long-term effects across
in surgery that lead to sensible improvements in recovery diverse patient populations and different types of
and QoL, consistent with previous studies. 30,31 In contrast, orthopedic surgery. Effectively integrating robot systems
Liow et al. reported no significant differences in the into clinical practice will be substantial for maximizing
32
physical function throughout the follow-up periods. their benefits. In addition, future studies should explore
the cost of robot-assisted surgeries compared to traditional
The significant increase in the SF-36 scores shows a
considerable improvement in patients’ QoL and well- methods, as well as the training and support required for
healthcare professionals to confirm the advantages of these
being. This improvement includes psychological and technologies.
social dimensions of health. Robot-assisted surgeries may
contribute to these QoL enhancements by improving This is the first study to evaluate changes in patient
recovery and reducing long-term effects, consistent with satisfaction and QoL following IF surgery with the Tianji
findings from previous studies. 33-35 orthopedic robot, with assessments estimated by nursing
staff using telehealth services. This study has some
Table 3. Multiple regression analyses of predictors limitations. The primary limitation is the dependence
influencing quality of life and satisfaction among patients on patient-reported outcome measures, such as the ODI
who underwent Tianji robot surgery and the SF-36. This reliance may introduce response bias,

Characteristics ODI SF‑36 NSNCS as patients might overestimate or underestimate their
β p‑value β p‑value β p‑value satisfaction and QoL. The second limitation is the lack of a
Gender 3.31 0.103 0.85 0.667 14.67 0.393 control group, making it difficult to attribute improvements
in the robot-assisted surgery. The third limitation is that
Age 5.38 <0.001 6.58 0.027 5.38 0.039 other unmeasured factors may affect patient outcomes,
Surgical type 0.37 0.44 1.88 0.203 1.28 0.486 complicating the interpretation of the outcomes.
Associated fractures 3.07 0.044 −0.02 0.989 2.36 0.147
Fracture type 3.92 0.038 5.98 0.017 7.69 0.011 5. Conclusion
Fracture region 5.76 0.032 7.32 0.050 7.96 0.025 The Tianji orthopedic robot-assisted IF surgery significantly
Admission to surgery 4.19 <0.001 0.30 0.799 −2.07 <0.001 enhances patient satisfaction and QoL over a 12-month
Abbreviations: NSNCS: Newcastle Satisfaction with Nursing Care Scale; follow-up period, by analyzing patient-reported outcomes
ODI: Oswestry Disability Index; SF-36: Short Form Health Survey-36. including the ODI, SF-36, and NSNCS scores. Moreover,

Volume 8 Issue 3 (2025) 89 doi: 10.36922/ITPS025080009