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| Application of the dynamic symptom management model in the perioperative symptom cluster management of patients with ovarian cancer |
| The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, 325011 |
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Abstract To investigate the effect of the dynamic symptom management model for intervening patients with ovarian cancer in their perioperative symptom cluster management. Methods: 118 middle-aged patients with ovarian cancer who had admitted to hospitals were selected and were divided into two groups (59 cases in each group) by random number table method from January 2019 to December 2023. The patients in the two groups were given routine nursing and symptom management records, and the patients in the experimental group were given the intervention of the dynamic symptom management model additionally. The interventions of the patients in the two groups were conducted at 4 time points, including at 1-3 days before surgery (T1), and at the 1st day after surgery (T2), 2nd-3rd day after surgery (T3) and 5th day after surgery (T4). The differences of the symptoms with different severity situation at each time point and the differences of the quality of life of the patients were compared between the two groups. Results: There were significant differences in the time effect, the group effect and the interaction effect of the symptom score of the patients after intervention between the two groups (P<0.05). The evaluations of the society function, the role function, the cognitive function, the emotional function and the general function of the patients in the experimental group after intervention had increased significantly, but the scores of fatigue, pain, loss of appetite, diarrhea and respiratory difficulties of the patients in the experimental group after intervention had decreased significantly. The evaluations of the cognitive function, the emotional function and the general function of the patients in the experimental group were significantly higher than those of the patients in the control group. The scores of fatigue, pain and loss of appetite of the patients in the experimental group after intervention were significantly lower than those of the patients in the control group (all P<0.05). Conclusion: The dynamic symptom management model in the perioperative symptom cluster management of the patients with ovarian cancer has better interventive effect, and which can improve the quality of life and promote the recovery of the patients.
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