Lochhead Chris, Fisher Robert B
Advanced Care Research Centre, University of Edinburgh, Old College, South Bridge, Edinburgh, EH8 9YL, United Kingdom, 44 7957617565.
JMIR Hum Factors. 2025 Feb 27;12:e59458. doi: 10.2196/59458.
The growth of aging populations globally has increased the demand for new models of care. At-home, computerized health care monitoring is a growing paradigm, which explores the possibility of reducing workloads, lowering the demand for resource-intensive secondary care, and providing more precise and personalized care. Despite the potential societal benefit of autonomous monitoring systems when implemented properly, uptake in health care institutions is slow, and a great volume of research across disciplines encounters similar common barriers to real-world implementation.
The goal of this systematic review was to construct an evaluation framework that can assess research in terms of how well it addresses already identified barriers to application and then use that framework to analyze the literature across disciplines and identify trends between multidisciplinarity and the likelihood of research being developed robustly.
This paper introduces a scoring framework for evaluating how well individual pieces of research address key development considerations using 10 identified common barriers to uptake found during meta-review from different disciplines across the domain of health care monitoring. A scoping review is then conducted using this framework to identify the impact that multidisciplinarity involvement has on the effective development of new monitoring technologies. Specifically, we use this framework to measure the relationship between the use of multidisciplinarity in research and the likelihood that a piece of research will be developed in a way that gives it genuine practical application.
We show that viewpoints of multidisciplinarity; namely across computer science and medicine alongside public and patient involvement (PPI) have a significant positive impact in addressing commonly encountered barriers to application research and development according to the evaluation criteria. Using our evaluation metric, multidisciplinary teams score on average 54.3% compared with 35% for teams made up of medical experts and social scientists, and 2.68 for technical-based teams, encompassing computer science and engineering. Also identified is the significant effect that involving either caregivers or end users in the research in a co-design or PPI-based capacity has on the evaluation score (29.3% without any input and between 48.3% and 36.7% for end user or caregiver input respectively, on average).
This review recommends that, to limit the volume of novel research arbitrarily re-encountering the same issues in the limitations of their work and hence improve the efficiency and effectiveness of research, multidisciplinarity should be promoted as a priority to accelerate the rate of advancement in this field and encourage the development of more technology in this domain that can be of tangible societal benefit.
全球老龄化人口的增长增加了对新型护理模式的需求。居家的计算机化医疗监测是一种不断发展的模式，它探索了减轻工作量、降低对资源密集型二级护理的需求以及提供更精确和个性化护理的可能性。尽管自主监测系统在正确实施时具有潜在的社会效益，但医疗机构的采用速度缓慢，并且跨学科的大量研究在实际应用中都遇到了类似的常见障碍。
本系统评价的目标是构建一个评估框架，该框架可以根据研究解决已确定的应用障碍的程度来评估研究，然后使用该框架分析跨学科的文献，并确定多学科性与研究得到有力开展的可能性之间的趋势。
本文引入了一个评分框架，用于评估各项研究在解决关键发展考虑因素方面的程度，该框架使用了在对医疗监测领域不同学科的元评价过程中发现的10个已确定的常见应用障碍。然后使用该框架进行范围综述，以确定多学科参与对新监测技术有效开发的影响。具体而言，我们使用该框架来衡量研究中多学科性的使用与一项研究以使其具有真正实际应用的方式开展的可能性之间的关系。
我们表明，多学科性的观点，即在计算机科学和医学领域以及公众和患者参与（PPI）方面，根据评估标准，在解决应用研究和开发中常见的障碍方面具有显著的积极影响。使用我们的评估指标，多学科团队的平均得分是54.3%，而由医学专家和社会科学家组成的团队为35%，以计算机科学和工程为主的技术团队为2.68%。还确定了在研究中以共同设计或基于PPI的能力让护理人员或最终用户参与对评估得分有显著影响（无任何参与时为29.3%，最终用户或护理人员参与时平均分别为48.3%和36.7%）。
本综述建议，为了限制大量新研究在其工作局限性中随意再次遇到相同问题，从而提高研究的效率和效果，应优先推广多学科性，以加快该领域的进步速度，并鼓励在该领域开发更多具有切实社会效益的技术。
