Analysis of potential categories and influencing factors of self-efficacy among patients with rheumatoid arthritis
10.3761/j.issn.0254-1769.2024.19.008
- VernacularTitle:类风湿关节炎患者自我效能潜在类别及影响因素分析
- Author:
Fen LI
1
;
Yaqin GENG
;
Yi ZHANG
;
Biyu SHEN
;
Bo GAO
;
Yaping YI
Author Information
1. 213004 常州市南京医科大学附属常州第二人民医院风湿免疫科
- Keywords:
Arthritis,Rheumatoid;
Self-Efficacy;
Therapy Adherence;
Latent Class Analysis;
Root Cause Analysis;
Nursing Care
- From:
Chinese Journal of Nursing
2024;59(19):2362-2368
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the potential categories of self-efficacy in patients with rheumatoid arthritis(RA),analyze their influencing factors,and provide references for the development of personalized care measures.Methods Patients with RA who visited the rheumatology and immunology outpatient department of a tertiary hospital in Changzhou from March 2022 to March 2023 were selected.A general information questionnaire,the Chinese version of the Rheumatoid Arthritis Self-Efficacy Scale(C-RASE),and Compliance Questionnaire Rheumatology(CQR)were used to investigate RA patients.Latent class analysis was used to classify self-efficacy,and logistic regression analysis was conducted to explore the influencing factors of self-efficacy.Results A total of 219 subjects were included in the survey.The score of C-RASE was(100.68±12.64).The self-efficacy of RA patients was divided into a high efficacy-low support group(105.18±10.18),a moderate efficacy-diverse needs group(93.21±4.16),and a low efficacy-high fatigue group(84.07±13.96).Logistic regression analysis showed that disease duration(OR=1.062,P=0.024),education(OR=5.405,P=0.036;OR=12.347,P=0.021),and erythrocyte sedimentation rate(OR=1.019,P=0.020;OR=1.019,P=0.027)were factors affecting patients'self-efficacy.The treatment compliance scores of the 3 latent class categories(F=10.902,P＜0.001)and the rate of good treatment compliance(x2=16.053,P＜0.001)were statistically significant.Conclusion RA patients exhibit significant heterogeneity in their self-efficacy levels,and there are variations in treatment adherence among patients in different self-efficacy categories.Nurses should prioritize the attention towards the population groups with moderate efficacy-diverse needs,as well as the groups with low efficacy-high fatigue,implementing cognitive behavioral interventions to assist them in setting clear goals and providing specific plans and guidance to improve their health outcomes.
