Population Informatics Lab, Department of Health Policy & Management, Texas A&M University School of Public Health, College Station, TX, United States.
Southwest Rural Health Research Center, Department of Health Policy & Management, Texas A&M University School of Public Health, College Station, TX, United States.
J Med Internet Res. 2020 Dec 15;22(12):e20783. doi: 10.2196/20783.
There is substantial prior research on the perspectives of patients on the use of health information for research. Numerous communication barriers challenge transparency between researchers and data participants in secondary database research (eg, waiver of informed consent and knowledge gaps). Individual concerns and misconceptions challenge the trust in researchers among patients despite efforts to protect data. Technical software used to protect research data can further complicate the public's understanding of research. For example, MiNDFIRL (Minimum Necessary Disclosure For Interactive Record Linkage) is a prototype software that can be used to enhance the confidentiality of data sets by restricting disclosures of identifying information during the record linkage process. However, software, such as MiNDFIRL, which is used to protect data, must overcome the aforementioned communication barriers. One proposed solution is the creation of an interactive web-based frequently asked question (FAQ) template that can be adapted and used to communicate research issues to data subjects.
This study aims to improve communication with patients and transparency about how complex software, such as MiNDFIRL, is used to enhance privacy in secondary database studies to maintain the public's trust in researchers.
A Delphi technique with 3 rounds of the survey was used to develop the FAQ document to communicate privacy issues related to a generic secondary database study using the MiNDFIRL software. The Delphi panel consisted of 38 patients with chronic health conditions. We revised the FAQ between Delphi rounds and provided participants with a summary of the feedback. We adopted a conservative consensus threshold of less than 10% negative feedback per FAQ section.
We developed a consensus language for 21 of the 24 FAQ sections. Participant feedback demonstrated preference differences (eg, brevity vs comprehensiveness). We adapted the final FAQ into an interactive web-based format that 94% (31/33) of the participants found helpful or very helpful. The template FAQ and MiNDFIRL source code are available on GitHub. The results indicate the following patient communication considerations: patients have diverse and varied preferences; the tone is important but challenging; and patients want information on security, identifiers, and final disposition of information.
The findings of this study provide insights into what research-related information is useful to patients and how researchers can communicate such information. These findings align with the current understanding of health literacy and its challenges. Communication is essential to transparency and ethical data use, yet it is exceedingly challenging. Developing FAQ template language to accompany a complex software may enable researchers to provide greater transparency when informed consent is not possible.
先前有大量研究关注患者对使用健康信息进行研究的看法。在二次数据库研究中,存在许多沟通障碍,例如豁免知情同意和知识差距,这些障碍会影响研究人员和数据参与者之间的透明度。尽管努力保护数据,但个别关注和误解会挑战患者对研究人员的信任。用于保护研究数据的技术软件可能会进一步使公众难以理解研究。例如,MiNDFIRL(用于交互式记录链接的最小必要披露)是一种原型软件,可通过在记录链接过程中限制识别信息的披露来增强数据集的保密性。然而,用于保护数据的软件(如 MiNDFIRL)必须克服上述沟通障碍。一个提议的解决方案是创建一个交互式基于网络的常见问题解答(FAQ)模板,该模板可以适应并用于向数据主体传达研究问题。
本研究旨在改善与患者的沟通,并提高透明度,说明如何使用 MiNDFIRL 等复杂软件增强二次数据库研究中的隐私性,以维护公众对研究人员的信任。
采用三轮德尔菲技术制定 FAQ 文档,以沟通使用 MiNDFIRL 软件的一般二次数据库研究中的隐私问题。德尔菲小组由 38 名患有慢性健康状况的患者组成。我们在德尔菲回合之间修改了 FAQ,并向参与者提供了反馈摘要。我们采用了不到每个 FAQ 部分 10%的负面反馈的保守共识阈值。
我们就 24 个 FAQ 部分中的 21 个达成了共识语言。参与者的反馈表明存在偏好差异(例如,简洁与全面)。我们将最终的 FAQ 改编为交互式网络格式,33 名参与者中有 94%(31/33)认为该格式有用或非常有用。模板 FAQ 和 MiNDFIRL 源代码可在 GitHub 上获得。研究结果表明,患者沟通考虑因素如下:患者有不同的偏好;语气很重要但具有挑战性;患者希望了解有关安全性、标识符和信息最终处置的信息。
本研究的结果提供了有关对患者有用的研究相关信息以及研究人员如何传达此类信息的见解。这些发现与当前对健康素养及其挑战的理解一致。沟通对于透明度和道德数据使用至关重要,但也极具挑战性。开发伴随复杂软件的 FAQ 模板语言可能使研究人员在无法获得知情同意的情况下提供更大的透明度。