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

Author:

Chen Ying1,Xu Hong1,Cheng Yun1,Qian Yuan2ORCID

Affiliation:

1. Tumor Building, Affiliated Hospital of Jiangnan University, Wuxi City, 214061 Jiangsu Province, China

2. Tumor Building, Nursing Department, Affiliated Hospital of Jiangnan University, Wuxi City, 214061 Jiangsu Province, China

Abstract

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.

Funder

Wuxi Municipal Health Commission

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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