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赵元萍, 丁睿, 谢红. 长期护理失能等级评估标准分级模型验证[J]. 中国公共卫生, 2023, 39(4): 467-471. DOI: 10.11847/zgggws1139527
引用本文: 赵元萍, 丁睿, 谢红. 长期护理失能等级评估标准分级模型验证[J]. 中国公共卫生, 2023, 39(4): 467-471. DOI: 10.11847/zgggws1139527
ZHAO Yuanping, DING Rui, XIE Hong. Validation of the National Disability Rating Criteria for the Elderly with Long-term Care: a hierarchical model-based empirical analysis[J]. Chinese Journal of Public Health, 2023, 39(4): 467-471. DOI: 10.11847/zgggws1139527
Citation: ZHAO Yuanping, DING Rui, XIE Hong. Validation of the National Disability Rating Criteria for the Elderly with Long-term Care: a hierarchical model-based empirical analysis[J]. Chinese Journal of Public Health, 2023, 39(4): 467-471. DOI: 10.11847/zgggws1139527

长期护理失能等级评估标准分级模型验证

Validation of the National Disability Rating Criteria for the Elderly with Long-term Care: a hierarchical model-based empirical analysis

  • 摘要:
      目的  验证长期护理失能等级评估标准分级模型的可靠性和合理性。
      方法  于2022年3月,采用分层抽样法、目的抽样法和随机抽样法,对全国12个省(直辖市)共9 577名养老机构老年人采用长期护理失能等级评估标准进行失能状况评估,采用层次分析法、秩和比法、配对χ2检验进行长期护理失能等级与综合评价技术失能等级行比分析。
      结果  老年人平均年龄(81.43 ± 8.46)岁,综合评价技术失能等级评价整体失能率达80.0%,中度及以上失能率为47.0%。层次分析法和秩和比法得到的回归方程WRSR = – 0.5679 + 0.2097 × probit,根据4级分级法确立综合评价技术失能等级判别标准。与原分级模型比对后,Kappa值为0.540(P < 0.001),McNemar-Bowker 检验值为3376.471(P < 0.001),2种分级模型具有一定差异,总吻合率为63.6%,基于2种分级模型评定的重度失能老年人为566人(5.9%),长期护理失能等级评估标准规定的失能分级模型中将30.1%的中度失能老年人划分到重度失能人群中。
      结论  长期护理失能等级评估标准是评定老年人失能状况和等级的基础,经过数据模型验证,原标准分级模型存在问题,其科学、可靠性将直接影响对老年人失能状况的判断以及长护险相关政策的制定。

     

    Abstract:
      Objective  To verify the reliability and rationality of the National Disability Rating Criteria for the Elderly with Long-term Care – Trial Edition using hierarchical model.
      Methods  Using complex sampling method and a self-designed questionnaire, we conducted face-to-face interview and onsite assessment among 9 577 long-term caretakers aged 60 years and above in urban nursing facilities in 23 cities of 12 provincial level administrative divisions across various geographical areas in China during March 2022. The collected data were analyzed with analytic hierarchy process, rank sum ratio method and paired Chi-square test to comprehensively evaluate the long-term caretakers' disability degrees and to compare the evaluations with those based on the national criteria.
      Results  For the 9 577 valid participants averagely aged 81.43 ± 8.46 years, 80.0% were assessed as having disability and 47.0% as having moderate and severe disability. A four-level hierarchical model was established based on the regression equation (weighted rank-sum ratio WRSR = – 0.5679 + 0.2097 × probit) obtained with analytic hierarchy process and rank sum ratio method. Paired comparison with the original hierarchical model, the Kappa value of the analysis was 0.540 (P < 0.001) and the value of McNemar-Bowker test was 3 376.471 (P < 0.001). There were some differences between the two hierarchical models, and the overall coincidence rate between the two models was 63.6% although there were some differences. Of all the elderly long-term caretakers, 566 (5.9%) were assessed as having severe disability based on combined evaluation with the two hierarchical models; whereas, of all the long-term caretakers assessed as having moderate disability using the hierarchical model established in the study, 30.1% were assessed as having severe disability according to the evaluation with the National Disability Rating Criteria.
      Conclusion  Based on the analysis using the hierarchical model established in the study, there are some defects in the original hierarchical model adopted by the National Disability Rating Criteria and further researches are needed to address the issue.

     

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