| 引用本文：喻月慧, 毛雅宣.典型共病模式下老年慢性病患者医疗负担影响因素分析[J].中国卫生政策研究,2024,17(11):35-43 |
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| 典型共病模式下老年慢性病患者医疗负担影响因素分析 |
| 投稿时间：2024-08-12 修订日期：2024-11-09 PDF全文浏览 HTML全文浏览 |
| 喻月慧1,2, 毛雅宣1,2 |
1. 中国人民大学公共管理学院 北京 100872;
2. 中国人民大学健康保障研究中心 北京 100872 |
| 摘要:目的：基于老年群体典型共病模式分析医疗负担的影响因素，为优化老年慢性病患者健康管理政策提供参考。方法：利用2020年中国健康与养老追踪调查数据，统计60岁及以上老年慢性病患者基本情况，运用潜在类别分析方法识别出典型的共病模式，使用回归分析探讨不同共病模式下影响老年人医疗负担的因素。结果：所纳入的8 310名研究对象平均患慢性病2.81种，共病率达69.60%，可划分为多重共病组、呼吸系统疾病组、心血管代谢疾病组、胃病关节炎疾病组、低共病率组五类。与低共病率组相比，其他类别的老年人医疗负担更重。年龄、性别、收入、医疗保险、地理区域等因素总体上都与医疗负担相关，但解释力在不同共病模式下有差异。结论：卫生政策需重视共病问题，根据老年群体常见、负担重的共病组合来配置资源。 |
| 关键词:老年群体 慢性病管理 共病模式 医疗负担 影响因素 |
| 基金项目:国家自然科学基金(72204256) |
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| Analysis of factors associated with health care burden in older adults with chronic conditions based on typical multimorbidity patterns |
| YU Yue-hui1,2, MAO Ya-xuan1,2 |
1. School of Public Administration and Policy, Renmin University of China, Beijing 100872, China;
2. Centre for Health Protection Research, Renmin University of China, Beijing 100872, China |
| Abstract:Objective: To analyze factors associated with health care burden in older adults with chronic conditions based on typical multimorbidity patterns, in order to provide references for optimizing health management policies. Methods: Using data from the China Health and Retirement Longitudinal Study 2020, we counted the basic profiles of older adults aged 60 and over, identified typical multimorbidity patterns using latent category analysis, and then analyzed the factors associated with health care burden in different multimorbidity subgroups using regression models. Results: A total of 8 310 participants were included, with an average of 2.81 chronic conditions and a high multimorbidity rate of 69.60%. Participants were categorized into multisystem morbidity, respiratory, cardiovascular-metabolic, gastro-arthritis and low multimorbidity groups. Compared to the low multimorbidity group, all other multimorbidity patterns were associated with medical burden. Factors such as age, gender, income, health insurance and geographical location were all associated with health care burden in older adults, but the effect varied according to multimorbidity patterns. Conclusions: Future health policies should focus more on the issue of multimorbidity and allocate resources according to some common and burdensome multimorbidity patterns among the older population. |
| Key words:Older adults Chronic disease management Multimorbidity patterns Health care burden Influencing factors |
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