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Beyond DSM and ICD: introducing "precision diagnosis" for psychiatry using momentary assessment technology.超越《精神疾病诊断与统计手册》和《国际疾病分类》:利用即时评估技术引入精神病学的“精准诊断”。
World Psychiatry. 2013 Jun;12(2):113-7. doi: 10.1002/wps.20046.
2
Differential mortality rates in major and subthreshold depression: meta-analysis of studies that measured both.主要和阈下抑郁的死亡率差异:同时测量两者的研究的荟萃分析。
Br J Psychiatry. 2013 Jan;202(1):22-7. doi: 10.1192/bjp.bp.112.112169.
3
Ambulatory assessment.门诊评估。
Annu Rev Clin Psychol. 2013;9:151-76. doi: 10.1146/annurev-clinpsy-050212-185510. Epub 2012 Nov 13.
4
How can we use depression severity to guide treatment selection when measures of depression categorize patients differently?当用于分类患者的抑郁测量工具存在差异时,我们如何利用抑郁严重程度来指导治疗选择?
J Clin Psychiatry. 2012 Oct;73(10):1287-91. doi: 10.4088/JCP.12m07775. Epub 2012 Sep 4.
5
Mood disorders in everyday life: a systematic review of experience sampling and ecological momentary assessment studies.日常生活中的情绪障碍:经验取样和生态瞬时评估研究的系统综述。
Clin Psychol Rev. 2012 Aug;32(6):510-23. doi: 10.1016/j.cpr.2012.05.007. Epub 2012 Jun 6.
6
Helping depressed clients reconnect to positive emotion experience: current insights and future directions.帮助抑郁客户重新建立积极情绪体验:当前的见解和未来方向。
Clin Psychol Psychother. 2012 Jul-Aug;19(4):326-40. doi: 10.1002/cpp.1799. Epub 2012 Jun 5.
7
Facilitated Integrated Mood Management for adults with bipolar disorder.成人双相情感障碍的促进综合情绪管理。
Bipolar Disord. 2012 Mar;14(2):185-97. doi: 10.1111/j.1399-5618.2012.00998.x.
8
Intelligent real-time therapy: harnessing the power of machine learning to optimise the delivery of momentary cognitive-behavioural interventions.智能实时治疗:利用机器学习的力量优化即时认知行为干预的实施。
J Ment Health. 2012 Aug;21(4):404-14. doi: 10.3109/09638237.2011.638001. Epub 2012 Jan 17.
9
Mobile Assessment and Treatment for Schizophrenia (MATS): a pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and auditory hallucinations.精神分裂症的移动评估和治疗(MATS):一项互动短信干预药物依从性、社交和幻听的试点试验。
Schizophr Bull. 2012 May;38(3):414-25. doi: 10.1093/schbul/sbr155. Epub 2011 Nov 10.
10
Experience Sampling Methodology studies of depression: the state of the art.经验采样法研究抑郁症:现状。
Psychol Med. 2012 Jun;42(6):1119-29. doi: 10.1017/S0033291711002200. Epub 2011 Oct 19.

经验采样法在抑郁症治疗中的治疗应用:一项随机对照试验。

A therapeutic application of the experience sampling method in the treatment of depression: a randomized controlled trial.

机构信息

GGzE, Institute of Mental Health Care Eindhoven and the Kempen, P.O. Box 909, 5600 AX Eindhoven, The Netherlands; Department of Psychiatry and Psychology, Maastricht University Medical Centre, European Graduate School of Neuroscience, SEARCH, P.O. Box 616, 6200 MD Maastricht, The Netherlands.

出版信息

World Psychiatry. 2014 Feb;13(1):68-77. doi: 10.1002/wps.20090.

DOI:10.1002/wps.20090
PMID:24497255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3918026/
Abstract

In depression, the ability to experience daily life positive affect predicts recovery and reduces relapse rates. Interventions based on the experience sampling method (ESM-I) are ideally suited to provide insight in personal, contextualized patterns of positive affect. The aim of this study was to examine whether add-on ESM-derived feedback on personalized patterns of positive affect is feasible and useful to patients, and results in a reduction of depressive symptomatology. Depressed outpatients (n=102) receiving pharmacological treatment participated in a randomized controlled trial with three arms: an experimental group receiving add-on ESM-derived feedback, a pseudo-experimental group participating in ESM but receiving no feedback, and a control group. The experimental group participated in an ESM procedure (three days per week over a 6-week period) using a palmtop. This group received weekly standardized feedback on personalized patterns of positive affect. Hamilton Depression Rating Scale - 17 (HDRS) and Inventory of Depressive Symptoms (IDS) scores were obtained before and after the intervention. During a 6-month follow-up period, five HDRS and IDS assessments were completed. Add-on ESM-derived feedback resulted in a significant and clinically relevant stronger decrease in HDRS score relative to the control group (p<0.01; -5.5 point reduction in HDRS at 6 months). Compared to the pseudo-experimental group, a clinically relevant decrease in HDRS score was apparent at 6 months (B=-3.6, p=0.053). Self-reported depressive complaints (IDS) yielded the same pattern over time. The use of ESM-I was deemed acceptable and the provided feedback easy to understand. Patients attempted to apply suggestions from ESM-derived feedback to daily life. These data suggest that the efficacy of traditional passive pharmacological approach to treatment of major depression can be enhanced by using person-tailored daily life information regarding positive affect.

摘要

在抑郁症中,体验日常生活积极情绪的能力可以预测康复并降低复发率。基于经验采样方法(ESM-I)的干预措施非常适合提供个人、情境化积极情绪模式的洞察力。本研究的目的是检验基于ESM 的积极情绪个性化模式的附加反馈是否对患者可行且有用,是否能降低抑郁症状。接受药物治疗的抑郁门诊患者(n=102)参与了一项随机对照试验,分为三组:实验组接受基于 ESM 的附加反馈,假性实验组参与 ESM 但不接受反馈,对照组。实验组使用掌上电脑参与 ESM 程序(六周内每周三天)。该组每周都会收到关于个性化积极情绪模式的标准化反馈。在干预前后,分别使用汉密尔顿抑郁量表-17 项(HDRS)和抑郁症状量表(IDS)进行评估。在 6 个月的随访期间,完成了五次 HDRS 和 IDS 评估。与对照组相比,基于 ESM 的附加反馈导致 HDRS 评分显著且具有临床意义的降低(p<0.01;HDRS 评分在 6 个月时降低 5.5 分)。与假性实验组相比,6 个月时 HDRS 评分的临床显著降低(B=-3.6,p=0.053)。自我报告的抑郁症状(IDS)在时间上也呈现出相同的模式。ESM-I 的使用被认为是可以接受的,提供的反馈也很容易理解。患者试图将 ESM 反馈中的建议应用于日常生活。这些数据表明,通过使用针对积极情绪的个性化日常生活信息,可以增强传统被动药物治疗方法治疗重度抑郁症的疗效。