Effect assessment of the application value of evidence-based nursing intervention in operating room nursing: A protocol for a systematic review and meta-analysis

Application Value of Evidence-Based Care in Patients with Lung Cancer Chemotherapy

Objective

The present research project is aimed at elucidating the application value of evidence-based care (EBC) in patients with lung cancer (LC) chemotherapy.

Methods

Ninety-four advanced LC patients visited between March 2019 and February 2021 were retrospectively selected. Based on the type of care, 44 cases who used routine nursing were set as the control group (CG), and 50 patients who received EBC were included in the research group (RG). The pain degree, adverse mood, and individual fatigue of patients were assessed, using the Visual Analogue Scale (VAS), Self-Rating Anxiety/Depression Scale (SAS/SDS), and Cancer Fatigue Scale (CFS), respectively. Besides, patients were assessed for treatment compliance, self-efficacy, and life quality using the treatment compliance questionnaire, General Self-Efficacy Scale (GSES), and Quality of Life Questionnaire Core 30 (QLQ-C30), respectively.

Results

The VAS, SAS, and SDS scores were lower in RG versus CG after nursing intervention. RG scored lower in the dimensions of physical, affective, and cognitive fatigue in terms of individual fatigue assessed by the CFS and higher in various domains of the QLQ-C30 score after nursing intervention. Besides, higher treatment compliance and self-efficacy were determined in RG as compared to CG.

Conclusions

In addition to improving the treatment compliance, self-efficacy, and life quality of patients with LC chemotherapy, EBC can effectively alleviate their pain, adverse psychological mood, and individual fatigue, which deserves to be promoted in clinical application.

Cerebral Angiography under Artificial Intelligence Algorithm in the Design of Nursing Cooperation Plan for Intracranial Aneurysm Patients in Craniotomy Clipping

This research was to investigate the value of indocyanine green angiography (ICGA) based on maximum interclass variance (Otsu) method in the nursing plan of intracranial aneurysm clipping (ICAC) for intracranial aneurysm patients. An Otsu algorithm was selected to optimize the original images with the optimal threshold. In addition, the algorithm was applied to ICGA images of 86 patients with intracranial aneurysms, who were randomly divided into an experimental group (using ICGA + ICAC+ perioperative nursing) and a control group (ICAC + conventional nursing), to observe the clinical indicators, treatment, complications, nursing satisfaction, and quality of life of patients in two groups. The results showed that the mean square error (MSE), structural similarity (SSIM), and shape error (SE) were 3.71, 0.84, and 0.47, respectively. The length of hospital stay in the experimental group (19.9 ± 3.5 days) was significantly shorter than that in the control group (23.2 ± 3.0 days), the rate of excellent treatment was significantly higher than that in the control group, and the incidence of complications was lower. WHOQOL-BREF scores of the two groups after nursing intervention were higher than before, and the score in the experimental group was higher than the control group. In addition, the nursing satisfaction was also significantly higher in the experimental group, and the difference was statistically significant (P < 0.05). In conclusion, ICGA based on the Otsu method could effectively evaluate the cerebrovascular morphology during craniotomy and ICAP and improve the surgical efficacy. Combined with perioperative nursing intervention, it could greatly reduce the incidence of postoperative complications, improve the treatment effect and quality of life, and enhance the long-term prognosis.