Naeem Iffat, Quan Hude, Singh Shaminder, Chowdhury Nashit, Chowdhury Mohammad, Saini Vineet, Tc Turin
O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
JMIR Hum Factors. 2022 Feb 9;9(1):e20702. doi: 10.2196/20702.
To expand research and strategies to prevent disease, comprehensive and real-time data are essential. Health data are increasingly available from platforms such as pharmaceuticals, genomics, health care imaging, medical procedures, wearable devices, and internet activity. Further, health data are integrated with an individual's sociodemographic information, medical conditions, genetics, treatments, and health care. Ultimately, health information generation and flow are controlled by the patient or participant; however, there is a lack of understanding about the factors that influence willingness to share health information. A synthesis of the current literature on the multifactorial nature of health information sharing preferences is required to understand health information exchange.
The objectives of this review are to identify peer-reviewed literature that reported factors associated with health information sharing and to organize factors into cohesive themes and present a narrative synthesis of factors related to willingness to share health information.
This review uses a rapid review methodology to gather literature regarding willingness to share health information within the context of eHealth, which includes electronic health records, personal health records, mobile health information, general health information, or information on social determinants of health. MEDLINE and Google Scholar were searched using keywords such as electronic health records AND data sharing OR sharing preference OR willingness to share. The search was limited to any population that excluded health care workers or practitioners, and the participants aged ≥18 years within the US or Canadian context. The data abstraction process using thematic analysis where any factors associated with sharing health information were highlighted and coded inductively within each article. On the basis of shared meaning, the coded factors were collated into major themes.
A total of 26 research articles met our inclusion criteria and were included in the qualitative analysis. The inductive thematic coding process revealed multiple major themes related to sharing health information.
This review emphasized the importance of data generators' viewpoints and the complex systems of factors that shape their decision to share health information. The themes explored in this study emphasize the importance of trust at multiple levels to develop effective information exchange partnerships. In the case of improving precision health care, addressing the factors presented here that influence willingness to share information can improve sharing capacity for individuals and allow researchers to reorient their methods to address hesitation in sharing health information.
为了拓展疾病预防的研究和策略,全面且实时的数据至关重要。健康数据越来越多地来自制药、基因组学、医疗影像、医疗程序、可穿戴设备和互联网活动等平台。此外,健康数据还与个人的社会人口统计学信息、医疗状况、遗传学、治疗方法和医疗保健相结合。最终,健康信息的生成和流动由患者或参与者控制;然而,对于影响健康信息共享意愿的因素,人们缺乏了解。需要对当前关于健康信息共享偏好的多因素性质的文献进行综合分析,以理解健康信息的交换。
本综述的目的是识别报告了与健康信息共享相关因素的同行评审文献,并将这些因素组织成连贯的主题,对与健康信息共享意愿相关的因素进行叙述性综合分析。
本综述采用快速综述方法,收集关于在电子健康背景下共享健康信息意愿的文献,电子健康包括电子健康记录、个人健康记录、移动健康信息、一般健康信息或健康社会决定因素的信息。使用“电子健康记录”和“数据共享”或“共享偏好”或“共享意愿”等关键词在MEDLINE和谷歌学术上进行搜索。搜索仅限于排除医护人员或从业者的任何人群,以及美国或加拿大背景下年龄≥18岁的参与者。采用主题分析的数据提取过程,突出与共享健康信息相关的任何因素,并在每篇文章中进行归纳编码。根据共同的含义,将编码后的因素整理成主要主题。
共有26篇研究文章符合我们的纳入标准,并被纳入定性分析。归纳主题编码过程揭示了与共享健康信息相关的多个主要主题。
本综述强调了数据生成者观点的重要性以及塑造他们共享健康信息决策的复杂因素系统。本研究中探讨的主题强调了多层次信任对于建立有效的信息交换伙伴关系的重要性。在改善精准医疗的情况下,解决此处提出的影响信息共享意愿的因素可以提高个人的共享能力,并使研究人员能够重新调整他们的方法,以解决在共享健康信息方面的犹豫。