Gaudiano Brandon A, Moitra Ethan, Ellenberg Stacy, Armey Michael F
Butler Hospital and Warren Alpert Medical School of Brown University, 345 Blackstone Blvd., Providence, RI 02906, USA.
Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA.
Healthcare (Basel). 2015 Sep;3(3):556-73. doi: 10.3390/healthcare3030556. Epub 2015 Jul 15.
Severe mental illnesses, including schizophrenia and other psychotic-spectrum disorders, are a major cause of disability worldwide. Although efficacious pharmacological and psychosocial interventions have been developed for treating patients with schizophrenia, relapse rates are high and long-term recovery remains elusive for many individuals. Furthermore, little is still known about the underlying mechanisms of these illnesses. Thus, there is an urgent need to better understand the contextual factors that contribute to psychosis so that they can be better targeted in future interventions. Ecological Momentary Assessment (EMA) is a dynamic procedure that permits the measurement of variables in natural settings in real-time through the use of brief assessments delivered via mobile electronic devices (i.e., smart phones). One advantage of EMA is that it is less subject to retrospective memory biases and highly sensitive to fluctuating environmental factors. In the current article, we describe the research-to-date using EMA to better understand fluctuating symptoms and functioning in patients with schizophrenia and other psychotic disorders and potential applications to treatment. In addition, we describe a novel EMA protocol that we have been employing to study the outcomes of patients with schizophrenia following a hospital discharge. We also report the lessons we have learned thus far using EMA methods in this challenging clinical population.
严重精神疾病,包括精神分裂症和其他精神病性谱系障碍,是全球致残的主要原因。尽管已经开发出有效的药物和心理社会干预措施来治疗精神分裂症患者,但复发率很高,许多患者仍难以实现长期康复。此外,对于这些疾病的潜在机制仍知之甚少。因此,迫切需要更好地了解导致精神病的背景因素,以便在未来的干预中能够更有针对性地加以应对。生态瞬时评估(EMA)是一种动态程序,通过使用移动电子设备(即智能手机)进行简短评估,能够在自然环境中实时测量变量。EMA的一个优点是它较少受到回顾性记忆偏差的影响,并且对波动的环境因素高度敏感。在本文中,我们描述了迄今为止使用EMA来更好地理解精神分裂症和其他精神病性障碍患者的症状波动和功能状况以及其在治疗中的潜在应用的研究。此外,我们描述了一种新颖的EMA方案,我们一直在使用该方案来研究精神分裂症患者出院后的结局。我们还报告了迄今为止我们在这个具有挑战性的临床人群中使用EMA方法所学到的经验教训。