Searle Anja, Allen Luke, Lowther Millie, Cotter Jack, Barnett Jennifer H
Cambridge Cognition, Tunbridge Court, Bottisham, Cambridge CB25 9TU, UK.
Anxiety Lab, Neuroscience and Mental Health Group, University College London Institute of Cognitive Neuroscience, Alexandra House, 17-19 Queen Square, Bloomsbury, London WC1N 3AZ, UK.
Schizophr Res Cogn. 2022 Apr 7;29:100248. doi: 10.1016/j.scog.2022.100248. eCollection 2022 Sep.
With an unmet clinical need for effective interventions for cognitive and negative symptoms in patients with schizophrenia, measures of functional status (often a co-primary endpoint) remain key clinical trial outcomes. This review aims to give an overview of the different types of functional assessments commonly used in clinical trials and research involving patients with schizophrenia and highlight pertinent challenges surrounding the use of these as reliable, sensitive, and specific assessments in intervention trials. We provide examples of commonly used functional measures and highlight emerging real-time digital assessment tools. Informant- and clinician-rated functional outcome measures and functional capacity assessments are valid, commonly used measures of functional status that try to overcome the need for often overly ambitious and insensitive 'real world' milestones. The wide range of scientific and practical challenges associated with these different tools leave room for the development of improved functional outcome measures for use in clinical trials. In particular, many existing measures fail to capture small, but meaningful, functional changes that may occur over the course of typically short intervention trials. Adding passive digital data collection and short active real-time digital assessments whilst patients go about their day offers the opportunity to build a more fine-grained picture of functional improvements that, if thoughtfully developed and carefully applied, could provide the sensitivity needed to accurately evaluate functional status in intervention studies, aiding the development of desperately needed treatments.
由于精神分裂症患者对认知和阴性症状的有效干预存在未满足的临床需求,功能状态指标(通常作为共同主要终点)仍然是关键的临床试验结果。本综述旨在概述在涉及精神分裂症患者的临床试验和研究中常用的不同类型的功能评估,并强调在干预试验中将这些评估用作可靠、敏感和特异评估所面临的相关挑战。我们提供常用功能测量的示例,并突出新兴的实时数字评估工具。 informant 和临床医生评定的功能结局指标以及功能能力评估是有效的、常用的功能状态测量方法,旨在克服对通常过于宏大且不敏感的“现实世界”里程碑的需求。与这些不同工具相关的广泛科学和实际挑战为开发用于临床试验的改进功能结局指标留出了空间。特别是,许多现有测量方法未能捕捉到在通常较短的干预试验过程中可能发生的微小但有意义的功能变化。在患者日常生活中增加被动数字数据收集和简短的主动实时数字评估,有机会构建更细致的功能改善图景,如果经过深思熟虑的开发和谨慎应用,可为准确评估干预研究中的功能状态提供所需的敏感性,有助于开发急需的治疗方法。