中国全科医学 ›› 2026, Vol. 29 ›› Issue (04): 518-524.DOI: 10.12114/j.issn.1007-9572.2024.0336

• 论著 • 上一篇    

新疆农牧区老年慢性病患者健康贫困脆弱性评价体系研究

由淑萍1,2,*(), 艾非热·阿贝宝1, 孟娜1, 宋晓薇1, 吴培1, 刘琴1, 袁媛1   

  1. 1.830000 新疆维吾尔自治区乌鲁木齐市,新疆医科大学护理学院
    2.830000 新疆维吾尔自治区乌鲁木齐市,新疆区域人群疾病与健康照护研究中心
  • 收稿日期:2024-10-15 修回日期:2025-07-16 出版日期:2026-02-05 发布日期:2026-01-15
  • 通讯作者: 由淑萍

  • 作者贡献:

    由淑萍提出主要研究目标;艾非热·阿贝宝负责研究的构思与设计,研究的实施,撰写论文进行数据的收集与整理,统计学处理,图、表的绘制与展示;孟娜、宋晓薇、吴培、刘琴、袁媛进行论文的修订;由淑萍负责文章的质量控制与审查,对文章整体负责,监督管理。

  • 基金资助:
    新疆维吾尔自治区社科基金项目(2023 BSH066)

Research on the Health Poverty Vulnerability Evaluation System for Elderly Chronic Disease Patients in Agricultural and Pastoral Areas of Xinjiang

YOU Shuping1,2,*(), AIFEIRE Abeibao1, MENG Na1, SONG Xiaowei1, WU Pei1, LIU Qin1, YUAN Yuan1   

  1. 1. School of Nursing, Xinjiang Medical University, Urumqi 830000, China
    2. Xinjiang Regional Research Center for Population Disease and Health Care, Urumqi 830000, China
  • Received:2024-10-15 Revised:2025-07-16 Published:2026-02-05 Online:2026-01-15
  • Contact: YOU Shuping

摘要: 背景 为了防止"因病返贫",识别健康贫困脆弱性风险因素至关重要,新疆农牧区因地理环境、饮食习惯等特点,老年慢性病患者数量较多,且新疆农牧区是新疆经济发展相对迟缓的区域,因此亟须构建识别当地老年慢性病患者高贫困脆弱性的评价指标体系。 目的 探索构建适用于新疆农牧区老年慢性病患者的评价指标体系,以期为日后精准扶贫、并采取针对性预防措施提供理论依据。 方法 于2023年12月—2024年2月,通过文献评阅初步构建新疆农牧区老年慢性病患者健康贫困脆弱性评价指标池;于2024年3—4月,采用德尔菲法开展三轮专家咨询;最后采用层次分析法计算各项指标的权重值。 结果 经过三轮专家函询对指标体系修改完善,最终构建的指标体系包含3个一级指标、6个二级指标、37个三级指标。第一轮专家积极系数为92.0%,权威系数为0.876,各级指标的肯德尔(Kendall's W)系数分别为0.264、0.395、0.365;第二轮专家积极系数为84.0%,权威系数为0.900,各级指标的Kendall's W系数分别为0.273、0.403、0.370;第三论专家积极系数为84.0%,权威系数为0.905,各级指标的Kendall's W系数分别为0.301、0.466、0.412。 结论 基于抗逆力理论"健康压力源—健康风险—健康保障"框架构建的新疆农牧区老年慢性病患者健康贫困脆弱性评价指标体系,具有较高的可靠性、合理性,可为新疆农牧区老年慢性病患者健康贫困脆弱风险识别和应对提供参考。

关键词: 慢性病, 新疆农牧区, 健康贫困脆弱性, 指标体系, 德尔菲法

Abstract:

Background

To prevent poverty due to illness, identifying the risk factors of health poverty vulnerability is crucial. In the rural areas of Xinjiang, there are many elderly patients with chronic diseases due to the geographical environment and dietary habits. Xinjiang rural areas are also the regions with relatively slower economic development in Xinjiang, so it is urgent to build an evaluation index system for identifying the high poverty vulnerability of elderly chronic disease patients in Xinjiang rural areas.

Objective

To explore the construction of an evaluation index system suitable for elderly chronic disease patients in rural areas of Xinjiang, with the aim of providing theoretical basis for precision poverty alleviation and taking targeted preventive measures in the future.

Methods

From December 2023 to February 2024, a preliminary evaluation index pool for the health poverty vulnerability of elderly chronic disease patients in Xinjiang's agricultural and pastoral areas was constructed through literature review; We conducted three rounds of expert consultation using the Delphi method from March to April 2024, and finally calculated the weight values of various indicators using the Analytic Hierarchy Process.

Results

After three rounds of expert inquiries, the indicator system was modified and improved, and the final constructed indicator system includes three primary indicators, six secondary indicators, and 37 tertiary indicators. The first round of expert positivity coefficient was 92%, authority coefficient was 0.876, and Kendall's W coefficients for various indicators were 0.264, 0.395, and 0.365, respectively; In the second round, the expert's positive coefficient was 84%, the authority coefficient was 0.900, and the Kendall's W coefficients for various indicators were 0.273, 0.403, and 0.370, respectively; The positivity coefficient of the third expert is 84%, the authority coefficient is 0.905, and the Kendall's W coefficients for various indicators are 0.301, 0.466, and 0.412, respectively.

Conclusion

The evaluation index system for the health poverty vulnerability of elderly chronic disease patients in Xinjiang's agricultural and pastoral areas, based on the framework of "health stressors health risks health security" based on resilience theory, has certain innovation and practicality.

Key words: Chronic disease, Xinjiang agricultural and pastoral areas, Health poverty vulnerability, Indicator system, Delphi technique

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