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基于总体健康状况评估慢性病的健康风险评估指标体系构建

Construction of the health risk assessment index system for assessing the chronic diseases based on the general health.

作者信息

Hao Ran, Zhang Meng, Jin Haoyu, Zuo Jinfan, Hu Jie

机构信息

Department of Clinical Humanistic Care and Nursing Research Center, School of Nursing, Hebei Medical University, Shijiazhuang, Hebei, China.

Intensive Care Unit, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

出版信息

J Family Med Prim Care. 2022 Sep;11(9):5527-5534. doi: 10.4103/jfmpc.jfmpc_2110_21. Epub 2022 Oct 14.

DOI:10.4103/jfmpc.jfmpc_2110_21
PMID:36505657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9731059/
Abstract

AIMS

This study aimed to construct a standardized health risk assessment index system (HRAIS) under the guidance of general health and facilitate the family doctors to carry out chronic disease management.

METHODS

Available chronic disease surveillance systems and indexes were reviewed to identify potential indexes. The Delphi method was performed to establish the HRAIS, and the analytic hierarchy process was used to calculate the index weight.

RESULTS

HRAIS included four first-level indexes and 38 second-level indexes. The authority coefficient was 0.86. The Kendall's W for the two rounds of Delphi consultation were 0.202 and 0.210 ( < 0.001). The weights of the first-level indexes from high to low were physiological health (0.409), psychosocial health (0.290), health-related behaviors (0.205), and environment (0.097). Thus, HRAIS is a multi-dimension and multi-index tool, which can be used as a guideline for family doctors in early screening, early intervention, and classified management of main chronic diseases.

摘要

目的

本研究旨在构建以整体健康为导向的标准化健康风险评估指标体系(HRAIS),以助力家庭医生开展慢性病管理。

方法

回顾现有的慢性病监测系统和指标,以确定潜在指标。采用德尔菲法建立HRAIS,并运用层次分析法计算指标权重。

结果

HRAIS包括4个一级指标和38个二级指标。权威系数为0.86。两轮德尔菲咨询的肯德尔W系数分别为0.202和0.210(<0.001)。一级指标权重由高到低依次为生理健康(0.409)、心理社会健康(0.290)、健康相关行为(0.205)和环境(0.097)。因此,HRAIS是一种多维度、多指标工具,可作为家庭医生对主要慢性病进行早期筛查、早期干预和分类管理的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/9731059/fcf523e855f9/JFMPC-11-5527-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/9731059/fcf523e855f9/JFMPC-11-5527-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/9731059/fcf523e855f9/JFMPC-11-5527-g001.jpg

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