Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Curr Psychiatry Rep. 2023 Nov;25(11):699-706. doi: 10.1007/s11920-023-01467-z. Epub 2023 Oct 20.
As care for older adult patients with schizophrenia lacks innovation, technology can help advance the field. Specifically, digital phenotyping, the real-time monitoring of patients' behaviors through smartphone sensors and symptoms through surveys, holds promise as the method can capture the dynamicity and environmental correlates of disease.
Few studies have used digital phenotyping to elucidate adult patients' experiences with schizophrenia. In this narrative review, we summarized the literature using digital phenotyping on adults with schizophrenia. No study focused solely on older adult patients. Studies including all adult patients were heterogeneous in measures used, duration, and outcomes. Despite limited research, digital phenotyping shows potential for monitoring outcomes such as negative, positive, and functional symptoms, as well as predicting relapse. Future research should work to target the symptomology persistent in chronic schizophrenia and ensure all patients have the digital literacy required to benefit from digital interventions and homogenize datasets to allow for more robust conclusions.
由于对老年精神分裂症患者的护理缺乏创新，因此技术可以帮助该领域取得进展。具体而言，通过智能手机传感器实时监测患者行为以及通过调查监测症状的数字表型，有望成为一种可以捕捉疾病动态和环境相关性的方法。
很少有研究使用数字表型来阐明成年精神分裂症患者的体验。在这篇叙述性综述中，我们总结了使用数字表型对成年精神分裂症患者进行研究的文献。没有研究专门针对老年患者。包括所有成年患者的研究在使用的措施、持续时间和结果方面存在差异。尽管研究有限，但数字表型在监测阴性、阳性和功能症状等结果方面显示出潜力，并且可以预测复发。未来的研究应致力于针对慢性精神分裂症中持续存在的症状，并确保所有患者都具备数字素养，从而受益于数字干预措施，并使数据集同质化，以得出更可靠的结论。
