Cui Yong, Robinson Jason D, Rymer Rudel E, Minnix Jennifer A, Cinciripini Paul M
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Front Digit Health. 2022 Jan 6;3:799468. doi: 10.3389/fdgth.2021.799468. eCollection 2021.
With the increasing availability of smartphones, many tobacco researchers are exploring smartphone-delivered mobile smoking interventions as a disseminable means of treatment. Most effort has been focused on the development of smartphone applications (apps) to conduct mobile smoking research to implement and validate these interventions. However, developing project-specific smartphone apps that work across multiple mobile platforms (e.g., iOS and Android) can be costly and time-consuming. Here, using a hypothetical study, we present an alternate approach to demonstrate how mobile smoking cessation and outcome evaluation can be conducted without the need of a dedicated app. Our approach uses the Qualtrics platform, a popular online survey host that is used under license by many academic institutions. This platform allows researchers to conduct device-agnostic screening, consenting, and administration of questionnaires through Qualtrics's native survey engine. Researchers can also collect ecological momentary assessment data using text messaging prompts with the incorporation of Amazon Web Services' Pinpoint. Besides these assessment capabilities, Qualtrics has the potential for delivering personalized behavioral interventions through the use of JavaScript code. By customizing the question's web elements in Qualtrics (e.g., using texts, images, videos, and buttons), researchers can integrate interactive web-based interventions and complicated behavioral and cognitive tasks into the survey. In conclusion, this Qualtrics-based methodology represents a novel and cost-effective approach for conducting mobile smoking cessation and assessment research.
随着智能手机的日益普及，许多烟草研究人员正在探索通过智能手机提供的移动吸烟干预措施，将其作为一种可传播的治疗手段。大多数努力都集中在开发智能手机应用程序（应用）上，以开展移动吸烟研究，从而实施和验证这些干预措施。然而，开发适用于多个移动平台（如iOS和安卓）的特定项目智能手机应用可能成本高昂且耗时。在此，我们通过一项假设研究，展示一种替代方法，说明如何在无需专用应用的情况下进行移动戒烟及结果评估。我们的方法使用Qualtrics平台，这是一个广受欢迎的在线调查平台，许多学术机构都有其使用许可。该平台允许研究人员通过Qualtrics的原生调查引擎进行与设备无关的筛查、同意程序及问卷管理。研究人员还可以通过结合亚马逊网络服务的Pinpoint，利用短信提示收集生态瞬时评估数据。除了这些评估功能外，Qualtrics还具备通过使用JavaScript代码提供个性化行为干预的潜力。通过在Qualtrics中自定义问题的网页元素（如使用文本、图像、视频和按钮），研究人员可以将基于网络的交互式干预措施以及复杂的行为和认知任务整合到调查中。总之，这种基于Qualtrics的方法代表了一种新颖且具有成本效益的进行移动戒烟和评估研究的途径。
