Adapa Karthik, Jain Saumya, Kanwar Richa, Zaman Tanzila, Taneja Trusha, Walker Jennifer, Mazur Lukasz
Department of Radiation Oncology and Carolina Health Informatics Program, University of North Carolina System, Chapel Hill, North Carolina, USA
Department of Radiation Oncology, University of North Carolina System, Chapel Hill, North Carolina, USA.
BMJ Open. 2020 Sep 16;10(9):e038416. doi: 10.1136/bmjopen-2020-038416.
Health literacy enables the patients in understanding the basic healthcare information and taking informed health decisions; thus, it is a desirable goal of any healthcare system. It increases patients' adherence to treatment, improves the quality of care and eases the overall burden on the healthcare system. In recent years, technological solutions are being increasingly used in educating patients and achieving better health literacy. Augmented reality (AR) provides powerful, contextual and situated learning experiences and supplements the real world with virtual objects. AR could potentially be an effective learning methodology for the patients, thus, warranting a comprehensive overview of the current state of AR in patient education and health literacy.
The proposed scoping review will be based on the framework developed by Arksey and O'Malley, including the refinements suggested by Levac . A systematic search for references in the published literature will be conducted in nine research databases-Institute of Electrical and Electronics Engineers (IEEE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), PubMed, PsycInfo, Embase, Web of Science, Scopus, Association for Computing Machinery (ACM) and Association for Information Systems eLibrary (AISeL). The unpublished studies from ProQuest Dissertations and Theses, Conference Proceedings Citation Index and grey literature references obtained from a web search will also be included. Databases will be searched from inception to 14 January 2020. Two independent reviewers will screen the studies from the search results in two successive stages of title/abstract screening followed by full-text screening. Data variables will be extracted from the selected studies to characterise study design, type of AR technology employed and the relational factors affecting patient education. Lastly, key stakeholders will be consulted to gather their insights about the study findings.
The results will be disseminated through stakeholder meetings and conference presentations. The data used are from publicly available secondary sources, so this study does not require ethical review.
健康素养使患者能够理解基本的医疗保健信息并做出明智的健康决策；因此，这是任何医疗保健系统都期望实现的目标。它能提高患者对治疗的依从性，改善护理质量并减轻医疗保健系统的整体负担。近年来，技术解决方案越来越多地用于教育患者并提高健康素养。增强现实（AR）提供强大的、情境化的和身临其境的学习体验，并用虚拟对象补充现实世界。AR可能是一种对患者有效的学习方法，因此，有必要全面概述AR在患者教育和健康素养方面的现状。
拟进行的范围综述将基于Arksey和O'Malley开发的框架，并纳入Levac建议的改进内容。将在九个研究数据库中系统搜索已发表文献中的参考文献，这些数据库包括电气和电子工程师协会（IEEE）、护理及相关健康文献累积索引（CINAHL）、PubMed、PsycInfo、Embase、科学引文索引（Web of Science）、Scopus、美国计算机协会（ACM）和信息系统协会电子图书馆（AISeL）。还将纳入来自ProQuest学位论文、会议论文引用索引的未发表研究以及通过网络搜索获得的灰色文献参考文献。数据库将从创建至2020年1月14日进行搜索。两名独立评审员将在两个连续阶段筛选搜索结果中的研究，首先是标题/摘要筛选，然后是全文筛选。将从选定的研究中提取数据变量，以描述研究设计、所采用的AR技术类型以及影响患者教育的相关因素。最后，将咨询关键利益相关者，以收集他们对研究结果的见解。
研究结果将通过利益相关者会议和会议报告进行传播。所使用的数据来自公开可用的二手资料，因此本研究无需伦理审查。
