Observed effects of behavioral experiential mental health education in the perioperative period of intracranial tumor resection
Abstract
Objective: To find out the application effect of action-experiential psycho wellness education in the perioperative period of intracranial tumor resection and to assess its impact on patients’ psychological state, mental toughness, quality of life, complication rate, and nursing satisfaction. Methods: By using a risk-controlled trial design, 117 cases of intracranial tumor resection underwent from January 2021 to November 2024, admitted to the neurosurgery department of a hospital were selected and randomly divided into two groups: the reference (n = 59) and the observatory (n = 58) groups. The routine nursing intervention was accepted in the comparison arm, and action-experiential mental health education was added on this basis in the comparison arm. Observe and compare the patients’ psychological state, mental toughness, and their changes in living quality, as well as compare the complication rate and nursing satisfaction of the two groups. Results: Following the innovation, the SAS and SDS ratings of the observation team were less important than those of the control team (p < 0.05), the CD-RISC mark was significantly enhanced (p < 0.05), and the SF-36 was significantly improved (p < 0.05). The incidence of postoperative complications in the observation group (6.77%) was significantly lower than that in the control group (22.41%) (p < 0.05), and nursing satisfaction (91.38%) was significantly higher than that in the control group (74.58%) (p < 0.05). Conclusion: Behavioral experiential mental health education effectively enhances psychological well-being and resilience, improves quality of life, reduces postoperative complications, and boosts nursing satisfaction among intracranial tumor patients during the perioperative period, highlighting its significant clinical utility.
Copyright (c) 2025 Jingjing Li, Jing Hu, Dongmin Yu
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
1. Robertson I, Seiler GS. Magnetic Resonance Imaging and Computed Tomographic Features of Brain Disease in Small Animals. In: Thrall’s Textbook of Veterinary Diagnostic Radiology-E-Book. Elsevier; 2024. p. 187.
2. Hu B, Zhang Z, Chen S, et al. A metric for quantitative evaluation of glioma margin changes in magnetic resonance imaging. Acta Radiologica. 2024; 65(6): 645–653.
3. Ahmed H, Dada MO, Samaila B. Current challenges of the state-of-the-art of AI techniques for diagnosing brain tumor. Material Science & Engineering International Journal. 2023; 7(4): 196–208.
4. Cinalli MA, Malineni S, Spennato P, et al. Neuroendoscopy: Intraventricular and skull base tumor resection in children. Child’s Nervous System. 2023; 39(10): 2737–2756.
5. Kasper G, Hart S, Samuel N, et al. Anxiety and depression in patients with intracranial meningioma: A mixed methods analysis. BMC Psychology, 2022, 10(1): 93.
6. Caponnetto P, Schilirò G, Maglia M, et al. Psychological and neuropsychological clinical impact in brain cancer patients and evidence-based psychological intervention: A systematic review of the literature. Health psychology research; 2024; 12.
7. Chen B, Chen C, Zhao X, et al. Perioperative/postoperative anxiety and its interventions in gynecological cancers: A comprehensive review of clinical evidence. Frontiers in Psychiatry. 2024; 15: 1383029.
8. Sun W, Xia L, Ji C, et al. Relationship between covid-pandemic anxiety and sleep disorder with menstrual disorders among female medical workers. BMC Women’s Health. 2023; 23(1): 210.
9. Wang Q, Zhang B, Zhang S, et al. Anxiety and depression and their interdependent influencing factors among medical students in Inner Mongolia: The cross-sectional survey. BMC Medical Education. 2022; 22(1): 787.
10. Connor K M, Davidson J R T. Development of a new resilience scale: The Connor‐Davidson resilience scale (CD‐RISC)[J]. Depression and anxiety, 2003, 18(2): 76-82.
11. Wu Q, Chen Y, Zhou Y T, et al. Reliability, validity, and sensitivity of short-form 36 health survey (SF-36) in patients with sick sinus syndrome. Medicine; 2023: 102(24): e33979.
12. Patel DK, Gwathmey KG. Neoplastic nerve lesions. Neurological Sciences. 2022; 43(5): 3019–3038.
13. McNamara C, Mankad K, Thust S, et al. 2021 WHO classification of tumors of the central nervous system: A review for the neuroradiologist. Neuroradiology. 2022; 64(10): 1919–1950.
14. Maschio M, Perversi F, Maialetti A. Brain tumor-related epilepsy: an overview on neuropsychological, behavioral, and quality of life issues and assessment methodology. Frontiers in Neurology. 2024; 15: 1480900.
15. Grocott B, Reynolds K, Logan G, et al. Breast cancer patient experiences of perioperative distress and anxiety: A qualitative study. European Journal of Oncology Nursing. 2023; 63: 102299.
16. Leung T, Schmidt F, Mushquash C. A personal history of trauma and experience of secondary traumatic stress, vicarious trauma, and burnout in mental health workers: A systematic literature review. Psychological Trauma Theory Research Practice and Policy. 2023; 15(S2): S213.
17. Ong JW, Ong QEO, Metsaevainio T, et al. The effectiveness of mind-body therapies for women with Gynecological Cancer: A systematic review and Meta-analysis. Cancer Nursing. 2024; 47(6): 460–470.
18. Chen T, Liu M X, Ding E, et al. Facilitating counselor reflective learning with a real-time annotation tool. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems; 23–28 April 2023; Hamburg, Germany.
19. Menza R, Howie-Esquivel J, Bongiovanni T, et al. Personalized music for cognitive and psychological symptom management during mechanical ventilation in critical care: A qualitative analysis. PLoS One. 2024; 19(10): e0312175.
20. Samman RR, Timraz JH, Al-Nakhli AM, et al. The Impact of Brain Tumors on Emotional and Behavioral Functioning. Cureus. 2024; 16(12): e75315.
