文章摘要
ABC-X模型分析类风湿性关节炎患者疾病管理能力的影响因素
Analysis of Disease Management Ability and Influencing Factors in Rheumatoid Arthritis Patients Based on ABC-X Model
投稿时间:2024-11-14  修订日期:2025-05-21
DOI:
中文关键词: 类风湿性关节炎  ABC-X模型  疾病管理  影响因素
英文关键词: Rheumatoid arthritis  ABC-X model  Disease management  influence factor
基金项目:省医药卫生科技发展计划(202114010801)
作者单位邮编
李兴晶 聊城市第二人民医院 252600
孙博* 聊城市第二人民医院 
郭旖旎 聊城市第二人民医院 
周恩昌 聊城市第二人民医院 
谷海英 聊城市第二人民医院 
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中文摘要:
      【摘要】目的 探讨以ABC-X理论模型多方面了解类风湿性关节炎患者疾病管理能力的影响因素。方法 本研究采用便利抽样法,选取2023年8月至2024年7月我院收治的298例类风湿性关节炎患者作为研究对象。采用一般资料调查表、慢性病自我管理行为量表(CDSMS)、家庭关怀度指数问卷(APGAR)、领悟社会支持量表(PSSS)、疾病认知问卷对患者进行调查。分析不同类风湿性关节炎患者疾病管理能力得分情况,Pearson相关分析类风湿性关节炎患者CDSMS得分与APGAR、疾病认知、PSSS得分的相关性,采用多重线性回归分析基于ABC-X模型的类风湿性关节炎患者疾病管理的影响因素。结果 类风湿性关节炎患者CDSMS得分(29.06±8.64)分;不同患者的付费方式、文化程度、人均收入、是否共病的疾病管理得分差异具有统计学意义(P<0.05)。医疗费用支付方式(β=-0.172,P<0.001)、家庭人均月收入(β=-0.182,P=0.018)、共病(β=-0.197,P<0.001)、疾病认知(β=-0.096,P=0.022)对类风湿性关节炎患者疾病管理能力有负向预测作用;文化程度(β=0.286,P=0.003)、APGAR(β=0.174,P=0.002)、PSSS(β=0.191,P=0.029)对类风湿性关节炎患者疾病管理能力有正向预测作用。结论 类风湿性关节炎患者CDSMS得分处于偏下,有待提高。付费方式、文化程度、人均收入、APGAR、PSSS对类风湿性关节炎患者疾病管理能力有正向预测作用。提示患者根据影响因素从多角度制定干预方案,以期提高类风湿关节炎患者的生活质量。
英文摘要:
      Objective: To explore the disease management ability status and influencing factors of rheumatoid arthritis patients based on ABC-X model. Method: This study used convenience sampling to select 298 patients with rheumatoid arthritis admitted to our hospital from August 2023 to July 2024 as the research subjects. The patients were surveyed using a general information questionnaire, Chronic Disease Self Management Behavior Scale (CDSMS), Family Care Index Questionnaire (APGAR), Disease Cognition Questionnaire, and Perceived Social Support Scale (PSSS). Analyze the disease management ability scores of different rheumatoid arthritis patients, Pearson correlation analysis the correlation between CDSMS scores and APGAR, disease cognition, and PSSS scores of rheumatoid arthritis patients, and use multiple linear regression analysis to explore the influencing factors of disease management in rheumatoid arthritis patients based on the ABC-X model. Result: The CDSMS score of rheumatoid arthritis patients was (29.06±8.64) points; There is a statistically significant difference (P<0.05) in the medical expense payment methods, educational level, average monthly household income, and comorbidity disease management scores among different patients. The payment methods for medical expenses (β=-0.172, P<0.001), per capita monthly household income (β=-0.182, P=0.018), comorbidities (β=-0.197, P<0.001), and disease cognition (β=-0.096, P=0.022) have a negative predictive effect on the disease management ability of rheumatoid arthritis patients; Educational level (β=0.286, P=0.003), APGAR (β=0.174, P=0.002), and PSSS (β=0.191, P=0.029) have a positive predictive effect on disease management ability in patients with rheumatoid arthritis. Conclusion: The CDSMS score of patients with rheumatoid arthritis is at a moderate to low level and needs to be improved. The payment methods for medical expenses, per capita monthly income of households, comorbidities, and disease awareness have a negative predictive effect on the disease management ability of rheumatoid arthritis patients, while education level, APGAR, and PSSS have a positive predictive effect on the disease management ability of rheumatoid arthritis patients. Medical staff should promptly assess the patient"s disease management level, develop intervention plans from multiple perspectives based on influencing factors, enhance the patient"s disease management ability, and thereby improve the patient"s quality of life.
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