齐鲁护理杂志2024,Vol.30Issue(8) :8-11.DOI:10.3969/j.issn.1006-7256.2024.08.003

基于社会生态学模型构建老年慢性病患者健康风险识别指标

Construction Health Risk Identification Indicators for Elderly Chronic Disease Patients Based on Social-Ecological Model

孙媛秋 曲晓艳 朱慧 柳臣兰 朱秀丽
齐鲁护理杂志2024,Vol.30Issue(8) :8-11.DOI:10.3969/j.issn.1006-7256.2024.08.003

基于社会生态学模型构建老年慢性病患者健康风险识别指标

Construction Health Risk Identification Indicators for Elderly Chronic Disease Patients Based on Social-Ecological Model

孙媛秋 1曲晓艳 2朱慧 3柳臣兰 1朱秀丽1
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作者信息

  • 1. 青岛大学护理学院 山东青岛 266000
  • 2. 青岛市市立医院
  • 3. 青岛大学附属医院市南院区
  • 折叠

摘要

目的:基于社会生态学模型构建老年慢性病患者健康风险识别指标.方法:以社会生态学模型为依据,经文献回顾及半结构式访谈形成健康风险识别指标初稿.2022 年 11 月 1 日~12 月 31 日邀请从事慢性病、流行病学研究的高校教师及慢性病临床护理工作者等,进行德尔菲专家函询,对指标进行修改.结果:共开展两轮专家函询,专家积极系数分别为 76.7%、73.9%,权威系数分别为 0.811、0.826;第一轮函询中,各级指标肯德尔和谐系数为 0.110~0.204(P<0.05);第二轮函询中,各级指标肯德尔和谐系数为 0.158~0.210(P<0.05);第二轮函询各级指标重要性赋值均数为 4.29~5.00 分,变异系数为 0.00~0.11.最终老年慢性病患者健康风险识别指标包含 5 项一级指标,12 项二级指标和 30 项三级指标.结论:本研究构建的老年慢性病患者健康风险识别指标具有科学性和全面性,可为老年慢性病患者疾病风险管理提供依据.

Abstract

Objective:To construct health risk identification indicators for elderly chronic disease patients based on social-ecological models.Methods:Based on the social-ecological model,a preliminary draft of health risk identification indicators was constructed through literature review and semi-structured interviews.From November 1 to December 31,2022,invite university teachers and clinical nursing staff engaged in chronic disease and epidemiological research to conduct Delphi expert inquiries and modify indicators.Results:Two rounds of expert inquiries were conducted,with expert positivity coefficients of 76.7%and 73.9%,and authority coefficients of 0.811 and 0.826,respectively.In the first round of inquiry,the Kendall harmony coefficient of indicators at all levels was 0.110~0.204(P<0.05).In the second round of inquiry,the Kendall harmony coefficient of indicators at all levels was 0.158~0.210(P<0.05).In the second round of in-quiry,the average score for assigning importance values to indicators at all levels was 4.29~5.00 points,with a coefficient of variation of 0.00~0.11.The final health risk identification indicators for elderly chronic disease patients include 5 first-level indicators,12 second-lev-el indicators,and 30 third-level indicators.Conclusion:The health risk identification indicators for elderly chronic disease patients construc-ted in this study are scientific and comprehensive,and can provide a basis for disease risk management in elderly chronic disease patients.

关键词

社会生态学模型/老年/慢性病/风险识别

Key words

Social-ecological model/Old age/Chronic diseases/Risk identification

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出版年

2024
齐鲁护理杂志
山东省护理学会

齐鲁护理杂志

影响因子:1.452
ISSN:1006-7256
参考文献量8
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