Spencer Madeline, Kemp Nenagh, Cruickshank Vaughan, Nash Rosie
School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
School of Psychological Sciences, College of Health and Medicine, University of Tasmania, Sandy Bay, Tasmania, Australia.
Health Promot J Austr. 2025 Jan;36(1):e905. doi: 10.1002/hpja.905. Epub 2024 Jul 29.
Whilst there is a relationship between health literacy and health outcomes, the importance of social and personal demographic characteristics remains understudied., Identifying the factors responsible for creating health literacy challenges would help ensure that responses are tailored to individual or community needs.
This survey included questions from five domains from the Health Literacy Questionnaire. Descriptive analyses and hierarchical regression were used to explore the relationship between the demographic characteristics and health literacy. Qualitative questions were subjected to thematic analysis, to identify the current barriers and proposed solutions.
A total of 255 participants completed the survey. Demographic characteristics that significantly predicted lower Health Literacy Questionnaire scores were having one or more chronic health conditions and living in an area of more socioeconomic disadvantage. Participants found 'navigating the health care system' the most difficult of the five elements measured. A total of 276 individual barriers to health literacy were identified and 162 solutions proposed.
This study provides an overview of our sample's health literacy and how their social demographic characteristics may predict their health literacy challenges. Findings from this study can be used to develop targeted interventions to respond to specific health literacy challenges identified within this population. SO WHAT?: Distinct from other research, whereby solutions are proposed by researchers, the participants in this study were encouraged to share their health literacy challenges and outline potential solutions to address these in their local context.
虽然健康素养与健康结果之间存在关联，但社会和个人人口统计学特征的重要性仍未得到充分研究。确定造成健康素养挑战的因素将有助于确保应对措施能够根据个人或社区的需求进行调整。
本次调查包括来自健康素养问卷五个领域的问题。采用描述性分析和层次回归来探讨人口统计学特征与健康素养之间的关系。对定性问题进行主题分析，以确定当前的障碍和提出的解决方案。
共有255名参与者完成了调查。显著预测健康素养问卷得分较低的人口统计学特征是患有一种或多种慢性健康状况以及生活在社会经济状况更不利的地区。参与者发现，在所测量的五个要素中，“在医疗保健系统中导航”最为困难。共确定了276个健康素养的个人障碍，并提出了162个解决方案。
本研究概述了我们样本的健康素养以及他们的社会人口统计学特征如何预测他们的健康素养挑战。本研究的结果可用于制定有针对性的干预措施，以应对该人群中确定的特定健康素养挑战。那又如何？：与其他由研究人员提出解决方案的研究不同，本研究鼓励参与者分享他们的健康素养挑战，并概述在当地背景下应对这些挑战的潜在解决方案。
