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Identifying mechanisms of persecutory ideation maintenance with smartphone technology: Examining threat importance, certainty, rumination, and behavior change.利用智能手机技术识别迫害观念维持的机制:检验威胁重要性、确定性、反刍和行为改变。
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2
Pinpointing affective disturbances in psychosis: A comparison of temporal affect dynamics in individuals with psychotic disorders, individuals with attenuated psychotic symptoms, and clinical and healthy controls.精准定位精神病中的情感障碍:精神病障碍患者、有精神病前驱症状个体、临床对照和健康对照者的时间性情感动力学比较。
J Psychiatr Res. 2022 Sep;153:260-268. doi: 10.1016/j.jpsychires.2022.06.047. Epub 2022 Jul 1.
3
Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments.焦虑障碍症状变化的数字生物标志物:使用智能手机传感器的个性化深度学习模型可从生态瞬时评估中准确预测焦虑症状。
Behav Res Ther. 2022 Feb;149:104013. doi: 10.1016/j.brat.2021.104013. Epub 2021 Dec 11.
4
Digital health tools for the passive monitoring of depression: a systematic review of methods.用于抑郁症被动监测的数字健康工具:方法的系统评价
NPJ Digit Med. 2022 Jan 11;5(1):3. doi: 10.1038/s41746-021-00548-8.
5
An experience-sampling study on the relevance of affect dynamics to paranoid ideation.一项关于情感动态与偏执观念相关性的经验取样研究。
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6
Comparison of a theoretically driven cognitive therapy (the Feeling Safe Programme) with befriending for the treatment of persistent persecutory delusions: a parallel, single-blind, randomised controlled trial.理论驱动的认知疗法(安全感计划)与陪伴治疗持续性被害妄想的比较:一项平行、单盲、随机对照试验。
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Expanding the Reach of Research: Quantitative Evaluation of a Web-Based Approach for Remote Recruitment of People Who Hear Voices.拓展研究范围:对基于网络的幻听症患者远程招募方法的定量评估
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8
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9
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Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.精神分裂症谱系障碍的数字化表型与机器学习的系统评价
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利用智能手机识别与功能障碍相关的迫害观念的瞬间特征。

Using Smartphones to Identify Momentary Characteristics of Persecutory Ideation Associated With Functional Disability.

作者信息

Buck Benjamin, Wingerson Mary, Tauscher Justin S, Enkema Matthew, Wang Weichen, Campbell Andrew T, Ben-Zeev Dror

机构信息

Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.

Department of Computer Science, Dartmouth College, Hanover, NH.

出版信息

Schizophr Bull Open. 2023 Aug 10;4(1):sgad021. doi: 10.1093/schizbullopen/sgad021. eCollection 2023 Jan.

DOI:10.1093/schizbullopen/sgad021
PMID:37601285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10439515/
Abstract

OBJECTIVES

Though often a feature of schizophrenia-spectrum disorders, persecutory ideation (PI) is also common in other psychiatric disorders as well as among individuals who are otherwise healthy. Emerging technologies allow for a more thorough understanding of the momentary phenomenological characteristics that determine whether PI leads to significant distress and dysfunction. This study aims to identify the momentary phenomenological features of PI associated with distress, dysfunction, and need for clinical care.

METHODS

A total of 231 individuals with at least moderate PI from 43 US states participated in a study involving 30 days of data collection using a smartphone data collection system combining ecological momentary assessment and passive sensors, wherein they reported on occurrence of PI as well as related appraisals, responses, and cooccurring states. Most ( = 120, 51.9%) participants reported never having received treatment for their PI, while 50 participants had received inpatient treatment (21.6%), and 60 (26.4%) had received outpatient care only.

RESULTS

Individuals with greater functional disability did not differ in PI frequency but were more likely at the moment to describe threats as important to them, to ruminate about those threats, to experience distress related to them, and to change their behavior in response. Groups based on treatment-seeking patterns largely did not differ in baseline measures or momentary phenomenology of PI as assessed by self-report or passive sensors.

CONCLUSIONS

Smartphone data collection allows for granular assessment of PI-related phenomena. Functional disability is associated with differences in appraisals of and responses to PI at the moment.

摘要

目的

尽管被害妄想(PI)通常是精神分裂症谱系障碍的一个特征,但在其他精神疾病以及其他方面健康的个体中也很常见。新兴技术有助于更全面地了解决定PI是否会导致严重痛苦和功能障碍的瞬间现象学特征。本研究旨在确定与痛苦、功能障碍及临床护理需求相关的PI的瞬间现象学特征。

方法

来自美国43个州的总共231名至少有中度PI的个体参与了一项研究,该研究使用结合生态瞬间评估和被动传感器的智能手机数据收集系统进行了30天的数据收集,他们报告了PI的发生情况以及相关的评估、反应和并发状态。大多数(n = 120,51.9%)参与者报告其PI从未接受过治疗,而50名参与者接受过住院治疗(21.6%),60名(26.4%)仅接受过门诊护理。

结果

功能残疾程度较高的个体在PI频率上没有差异,但当下更有可能将威胁描述为对他们很重要,反复思考这些威胁,体验与之相关的痛苦,并相应地改变自己的行为。根据寻求治疗模式分组后,在通过自我报告或被动传感器评估的PI基线测量或瞬间现象学方面,各组之间在很大程度上没有差异。

结论

智能手机数据收集允许对与PI相关的现象进行细致评估。功能残疾与当下对PI的评估和反应差异有关。