Analysis of the current situation and influencing factors of the treatment delay for lymphedema in breast cancer patients
10.3760/cma.j.cn211501-20250401-01000
- VernacularTitle:乳腺癌相关淋巴水肿患者就医延迟现状及影响因素分析
- Author:
Ruiqing LI
1
;
Xing LI
;
Yanyan WANG
;
Ying LI
;
Wei LIU
;
Lulu ZHANG
;
Jing LI
;
Mengdi CAO
;
Yaqing LIU
Author Information
1. 郑州大学第一附属医院乳腺外科，郑州 450000
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Lymphedema;
Treatment delay;
Influencing factors
- From:
Chinese Journal of Practical Nursing
2025;41(34):2655-2663
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the current status of treatment delay and analyze its influencing factors in patients with breast cancer-related lymphedema.Methods:Using convenience sampling, 218 patients with breast cancer-related lymphedema from The First Affiliated Hospital of Zhengzhou University between April 2024 and January 2025 were enrolled. The General Information Questionnaire, Lymphedema Self-Management Support Scale for Breast Cancer Survivors (LSMS-BCs), Brief Illness Perception Questionnaire for Breast Cancer-related Lymphedema (BIPQ-BCRL), Perceived Barriers to Health Care-Seeking Decision-Chinese (PBHSD-C), and Health Literacy Scale for Chronic Patients (HLSCP) were used to conduct a cross-sectional survey. Logistic regression identified predictors of treatment delay, with model fit assessed by the Hosmer-Lemeshow test. Discriminative ability was evaluated using receiver operating characteristic (ROC) curve analysis.Results:The study included 218 female BCRL patients, aged (58.31 ± 10.54) years. Among 218 patients, 76 experienced treatment delay, the incidence of treatment delay was 34.8% (76/218). Independent risk factors included junior high school education or below, no regular arm circumference measurement, low self-management support scores, low illness perception scores, high perceived barriers to healthcare-seeking scores, and low health literacy scores (Wald χ2 values were 7.75-15.15, all P<0.05). The Hosmer-Lemeshow test indicated good model fit ( χ2=6.21, P>0.05). The combined predictive model demonstrated significantly better discrimination than individual factors, the area under the curve of ROC was 0.846 ( P<0.01). Conclusions:The incidence of treatment delay is relatively high among breast cancer-related lymphedema patients. Nursing staff should pay special attention to patients with a junior high school education or below, no regular arm circumference measurement, low LSMS-BCs scores, low BIPQ-BCRL scores, high PBHSD-C scores and low HLSCP scores, implement timely interventions to reduce treatment delay in lymphedema patients.
