学者如何构思和开展健康与数字健康素养研究?联邦资助学者调查。

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Mayank Sakhuja, Brooks Yelton, Simone Kavarana, Lauren Schaurer, Jancham Rachel Rumthao, Samuel Noblet, Michelle A Arent, Mark M Macauda, Lorie Donelle, Daniela B Friedman
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引用次数: 0

摘要

背景:健康素养(HL)的概念在不断演变,而健康的社会决定因素(SDoH)在公共卫生学术研究中一直受到广泛关注。由于 "一刀切 "的健康素养方法未能考虑多种背景因素,因此给提高素养水平带来了挑战,因此有必要深入了解健康素养和数字健康素养(DHL)研究的现状:本研究考察了学者们对健康素养和数字健康素养工作的概念化和工作范围:使用搜索字符串,从美国国立卫生研究院 RePORTER(RePORT 支出与结果)和加拿大卫生研究院的受赠者网站上确定了关注 HL、DHL 或两者的研究者(N=2042)。调查人员通过 Qualtrics 收到了一份调查邮件。调查问题涉及工作重点;调查人员是否将 HL/DHL 与其他 SDoH 结合起来研究;使用的框架、定义和方法;以及研究环境。我们使用 SPSS 统计软件版本 28 分析了调查数据,并进行了描述性分析,包括频率和百分比。我们还进行了卡方检验,以探讨调查者研究的工作重点、环境和年龄组之间的关联:在 2042 位调查员中,共有 193 位(9.5%)对在线调查做出了回复。大多数调查者(76/153,49.7%)来自公共卫生领域,83/193(43%)的调查者称其研究重点仅为 HL,46/193(23.8%)的调查者提到了 DHL,64/193(33.2%)的调查者提到了两者。大多数人(133/153,86.9%)将 HL/DHL 与其他 SDoH 结合起来进行研究,106/135(78.5%)在社区环境中开展 HL/DHL 工作,100/156(64.1%)报告说没有使用任何特定定义来指导他们的工作。数字工具(89/135,65.9%)、通俗语言材料(82/135,60.7%)和视觉指南(56/135,41.5%)是使用最多的三种方法。大多数人的工作对象是成年人(131/139,94.2%)以及所有种族和民族(47/121,38.8%):HL 和 DHL 研究在很大程度上考虑了 SDoH。使用了多种 HL 工具和方法,支持检查和改进围绕医疗保健问题的扫盲和沟通。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Do Scholars Conceptualize and Conduct Health and Digital Health Literacy Research? Survey of Federally Funded Scholars.

Background: The concept of health literacy (HL) is constantly evolving, and social determinants of health (SDoH) have been receiving considerable attention in public health scholarship. Since a 1-size-fits-all approach for HL fails to account for multiple contextual factors and as a result poses challenges in improving literacy levels, there is a need to develop a deeper understanding of the current state of HL and digital health literacy (DHL) research.

Objective: This study examined scholars' conceptualization and scope of work focused on HL and DHL.

Methods: Using a search string, investigators (N=2042) focusing on HL, DHL, or both were identified from the grantee websites of the National Institutes of Health RePORTER (RePORT Expenditures and Results) and the Canadian Institutes of Health Research. The investigators were emailed a survey via Qualtrics. Survey questions examined the focus of work; whether the investigators studied HL/DHL in combination with other SDoH; the frameworks, definitions, and approaches used; and research settings. We analyzed survey data using SPSS Statistics version 28 and descriptive analysis, including frequencies and percentages, was conducted. Chi-square tests were performed to explore the association between the focus of work, settings, and age groups included in the investigators' research.

Results: A total of 193 (9.5%) of 2042 investigators responded to the online survey. Most investigators (76/153, 49.7%) were from public health, 83/193 (43%) reported their research focused on HL alone, 46/193 (23.8%) mentioned DHL, and 64/193 (33.2%) mentioned both. The majority (133/153, 86.9%) studied HL/DHL in combination with other SDoH, 106/135 (78.5%) conducted HL/DHL work in a community setting, and 100/156 (64.1%) reported not using any specific definition to guide their work. Digital tools (89/135, 65.9%), plain-language materials (82/135, 60.7%), and visual guides (56/135, 41.5%) were the top 3 approaches used. Most worked with adults (131/139, 94.2%) and all races and ethnicities (47/121, 38.8%).

Conclusions: HL and DHL research largely considered SDoH. Multiple HL tools and approaches were used that support the examination and improvement of literacy and communication surrounding health care issues.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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