Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA.
Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
BMC Musculoskelet Disord. 2022 May 23;23(1):487. doi: 10.1186/s12891-022-05420-8.
Smartphones provide opportunities for musculoskeletal research: they are integrated in participants' daily lives and can be used to collect patient-reported outcomes as well as sensor data from large groups of people. As the field of research with smartphones and smartwatches matures, it has transpired that some of the advantages of this modern technology are in fact double-edged swords. BODY: In this narrative review, we illustrate the advantages of using smartphones for data collection with 18 studies from various musculoskeletal domains. We critically appraised existing literature, debunking some myths around the advantages of smartphones: the myth that smartphone studies automatically enable high engagement, that they reach more representative samples, that they cost little, and that sensor data is objective. We provide a nuanced view of evidence in these areas and discuss strategies to increase engagement, to reach representative samples, to reduce costs and to avoid potential sources of subjectivity in analysing sensor data.
If smartphone studies are designed without awareness of the challenges inherent to smartphone use, they may fail or may provide biased results. Keeping participants of smartphone studies engaged longitudinally is a major challenge. Based on prior research, we provide 6 actions by researchers to increase engagement. Smartphone studies often have participants that are younger, have higher incomes and high digital literacy. We provide advice for reaching more representative participant groups, and for ensuring that study conclusions are not plagued by bias resulting from unrepresentative sampling. Costs associated with app development and testing, data storage and analysis, and tech support are substantial, even if studies use a 'bring your own device'-policy. Exchange of information on costs, collective app development and usage of open-source tools would help the musculoskeletal community reduce costs of smartphone studies. In general, transparency and wider adoption of best practices would help bringing smartphone studies to the next level. Then, the community can focus on specific challenges of smartphones in musculoskeletal contexts, such as symptom-related barriers to using smartphones for research, validating algorithms in patient populations with reduced functional ability, digitising validated questionnaires, and methods to reliably quantify pain, quality of life and fatigue.
智能手机为肌肉骨骼研究提供了机会:它们融入了参与者的日常生活中,可以用于收集患者报告的结果以及来自大量人群的传感器数据。随着智能手机和智能手表研究领域的成熟,事实证明,这项现代技术的一些优势实际上是一把双刃剑。
在这篇叙述性综述中,我们通过来自不同肌肉骨骼领域的 18 项研究来说明使用智能手机进行数据收集的优势。我们对现有文献进行了批判性评估,揭穿了一些关于智能手机优势的神话:智能手机研究自动提高参与度的神话、它们能够覆盖更具代表性的样本、成本低、传感器数据客观的神话。我们对这些领域的证据进行了细致的分析,并讨论了提高参与度、覆盖代表性样本、降低成本以及避免分析传感器数据时潜在主观性的策略。
如果智能手机研究在设计时没有意识到使用智能手机固有的挑战,那么这些研究可能会失败或提供有偏差的结果。使智能手机研究的参与者长期保持参与是一个主要挑战。根据先前的研究,我们提供了 6 项研究人员的行动来提高参与度。智能手机研究的参与者通常更年轻、收入更高、数字素养更高。我们提供了一些建议,用于吸引更具代表性的研究对象群体,并确保研究结论不会因抽样代表性不足而受到偏差的影响。即使研究采用“自带设备”政策,与应用程序开发和测试、数据存储和分析以及技术支持相关的成本仍然相当高。信息交流、集体应用程序开发和开源工具的使用将有助于肌肉骨骼社区降低智能手机研究的成本。总体而言,提高透明度和更广泛地采用最佳实践将有助于将智能手机研究提升到一个新的水平。然后,该社区可以专注于智能手机在肌肉骨骼环境中的特定挑战,例如与症状相关的使用智能手机进行研究的障碍、在功能能力降低的患者群体中验证算法、将验证后的问卷数字化,以及可靠地量化疼痛、生活质量和疲劳的方法。