OBJECTIVE Psychomotor abnormalities are relevant symptoms in the clinical presentation of schizophrenia, and assessing them could facilitate monitoring. New technologies can measure psychomotor activity objectively and continuously, but evidence on the topic is scarce. Our aim is to systematically review the existing evidence about eHealth tools for assessing psychomotor activity in patients diagnosed with schizophrenia. METHOD We performed a systematic search of the PubMed and Embase databases and identified 15 relevant articles on eHealth tools for assessing psychomotor activity in schizophrenia. RESULTS eHealth devices accurately assessed psychomotor activity and were well accepted. Abnormalities in psychomotor activity helped differentiate between different subtypes of schizophrenia. Abnormal increases in psychomotor activity were correlated with acute presentations, while lower activity was associated with relapses, deterioration, and negative symptoms. CONCLUSION Actigraphy is still the preferred eHealth device in research settings, but mobile applications have great potential. Further studies are needed to explore the possibilities of psychomotor monitoring and mobile health applications for preventing relapses in schizophrenia. eHealth could be useful for monitoring psychomotor activity, which might help prevent relapses.

中文翻译：

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用于评估精神分裂症精神运动活动的电子健康工具：系统评价

目的 精神运动异常是精神分裂症临床表现的相关症状，对其进行评估有助于监测。新技术可以客观、持续地测量精神运动活动，但关于该主题的证据很少。我们的目标是系统地审查有关用于评估精神分裂症患者心理运动活动的电子健康工具的现有证据。方法 我们对 PubMed 和 Embase 数据库进行了系统搜索，并确定了 15 篇有关用于评估精神分裂症精神运动活动的电子健康工具的相关文章。结果 电子健康设备准确地评估了精神运动活动，并被广泛接受。精神运动活动异常有助于区分精神分裂症的不同亚型。精神运动活动的异常增加与急性表现相关，而较低的活动与复发、恶化和阴性症状相关。结论 Actigraphy 仍然是研究环境中首选的电子健康设备，但移动应用程序具有巨大潜力。需要进一步的研究来探索精神运动监测和移动健康应用在预防精神分裂症复发方面的可能性。电子健康可用于监测精神运动活动，这可能有助于预防复发。需要进一步的研究来探索精神运动监测和移动健康应用在预防精神分裂症复发方面的可能性。电子健康可用于监测精神运动活动，这可能有助于预防复发。需要进一步的研究来探索精神运动监测和移动健康应用在预防精神分裂症复发方面的可能性。电子健康可用于监测精神运动活动，这可能有助于预防复发。