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慢性病患者的导航健康素养。

Navigational health literacy among people with chronic illness.

作者信息

Griese Lennert, Schaeffer Doris, Berens Eva-Maria

机构信息

School of Public Health, Interdisciplinary Centre for Health Literacy Research [ICHL], 9167Bielefeld University, Bielefeld, Germany.

出版信息

Chronic Illn. 2023 Mar;19(1):172-183. doi: 10.1177/17423953211073368. Epub 2022 Jan 11.

Abstract

OBJECTIVES

People with chronic illness are particularly dependent on navigating and using the health care system. This requires navigational health literacy (HL-NAV). The article aims to examine the distribution and predictors of HL-NAV in a sample of chronically ill individuals.

METHODS

Data of 1,105 people with chronic illness from the general population in Germany were collected in December 2019 and January 2020. HL-NAV was assessed by 12 items (score 0-100). Bivariate and multiple linear regression analysis were performed.

RESULTS

HL-NAV score was 39.1 (SD 27.3). In bivariate analyses, HL-NAV was lower among chronically ill persons aged 65 or above, with low education, limited functional health literacy, low social status, financial deprivation, poor social support, multiple chronic conditions, and an illness duration of 6-10 years. In multivariate analyses, advanced age, lower education, less functional health literacy, lower social status, and less social support remained associated with lower HL-NAV.

DISCUSSION

The results underline the importance of promoting HL-NAV among people with chronic illness. Strategies should aim at strengthening individual competencies taking into account the social and situational factors but also at reducing the demands placed on chronically ill people by providing user-friendly and trustworthy information on the health care system along the illness trajectory.

摘要

目的

慢性病患者尤其依赖于在医疗保健系统中进行导航和使用该系统。这需要导航健康素养(HL-NAV)。本文旨在研究慢性病患者样本中HL-NAV的分布情况及其预测因素。

方法

2019年12月和2020年1月收集了来自德国普通人群的1105名慢性病患者的数据。通过12个项目评估HL-NAV(得分0 - 100)。进行了双变量和多元线性回归分析。

结果

HL-NAV得分为39.1(标准差27.3)。在双变量分析中,65岁及以上、低教育水平、功能健康素养有限、社会地位低、经济贫困、社会支持差、患有多种慢性病以及病程为6至10年的慢性病患者的HL-NAV较低。在多变量分析中,高龄、低教育水平、功能健康素养较低、社会地位较低以及社会支持较少仍然与较低的HL-NAV相关。

讨论

结果强调了在慢性病患者中促进HL-NAV的重要性。策略应旨在增强个体能力,同时考虑社会和情境因素,还要通过在疾病轨迹中提供关于医疗保健系统的用户友好且可靠的信息来减少对慢性病患者的要求。

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