Suppr超能文献

针对精神分裂症门诊患者和住院患者的移动行为感知

Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia.

作者信息

Ben-Zeev Dror, Wang Rui, Abdullah Saeed, Brian Rachel, Scherer Emily A, Mistler Lisa A, Hauser Marta, Kane John M, Campbell Andrew, Choudhury Tanzeem

机构信息

Dr. Ben-Zeev and Ms. Brian are with the Psychiatric Research Center and the Department of Psychiatry, Dr. Scherer is with the Department of Community and Family Medicine and the Department of Biomedical Data Science, and Dr. Mistler is with the Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire (e-mail:

出版信息

Psychiatr Serv. 2016 May 1;67(5):558-61. doi: 10.1176/appi.ps.201500130. Epub 2015 Dec 15.

Abstract

OBJECTIVE

This study examined the feasibility, acceptability, and utility of behavioral sensing among individuals with schizophrenia.

METHODS

Nine outpatients and 11 inpatients carried smartphones for two- or one-week periods, respectively. Device-embedded sensors (accelerometers, microphone, global positioning system, WiFi, and Bluetooth) collected behavioral data and ascertained the patients' location, activity, and exposure to human speech as they went about their day. Participants rated this approach by completing usability and acceptability measures.

RESULTS

Sensing successfully captured individuals' activity, time spent proximal to human speech, and time spent in various locations. Participants felt comfortable using the sensing system (95%), and most were interested in receiving feedback (65%) and suggestions (65%). Approximately 20% reported that sensing made them upset. One-third of inpatients were concerned about their privacy, but no outpatients expressed this concern.

CONCLUSIONS

Mobile behavioral sensing was a feasible, acceptable, and informative approach for data collection among outpatients and inpatients with schizophrenia.

摘要

目的

本研究探讨了行为传感技术在精神分裂症患者中的可行性、可接受性和实用性。

方法

9名门诊患者和11名住院患者分别携带智能手机两周或一周。设备内置传感器(加速度计、麦克风、全球定位系统、WiFi和蓝牙)收集行为数据,并确定患者在日常生活中的位置、活动以及接触人类语音的情况。参与者通过完成可用性和可接受性测量来对这种方法进行评分。

结果

传感技术成功捕捉到了个体的活动、与人类语音近距离接触的时间以及在不同地点停留的时间。参与者对使用传感系统感到满意(95%),大多数人对接收反馈(65%)和建议(65%)感兴趣。约20%的人表示传感技术让他们感到不安。三分之一的住院患者担心自己的隐私,但门诊患者中无人表达此担忧。

结论

移动行为传感技术是一种用于精神分裂症门诊和住院患者数据收集的可行、可接受且信息丰富的方法。

相似文献

1
Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia.
Psychiatr Serv. 2016 May 1;67(5):558-61. doi: 10.1176/appi.ps.201500130. Epub 2015 Dec 15.
2
Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.
Psychiatr Rehabil J. 2015 Sep;38(3):218-226. doi: 10.1037/prj0000130. Epub 2015 Apr 6.
3
CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.
Psychiatr Rehabil J. 2017 Sep;40(3):266-275. doi: 10.1037/prj0000243. Epub 2017 Apr 3.
5
Use of Multimodal Technology to Identify Digital Correlates of Violence Among Inpatients With Serious Mental Illness: A Pilot Study.
Psychiatr Serv. 2017 Oct 1;68(10):1088-1092. doi: 10.1176/appi.ps.201700077. Epub 2017 Jul 3.
6
Neurocognitive differences between inpatients and outpatients with symptomatically nonremitted schizophrenia: A cross-sectional study.
Perspect Psychiatr Care. 2018 Oct;54(4):501-506. doi: 10.1111/ppc.12257. Epub 2018 Jan 19.
8
User acceptance of location-tracking technologies in health research: Implications for study design and data quality.
J Biomed Inform. 2018 Mar;79:7-19. doi: 10.1016/j.jbi.2018.01.003. Epub 2018 Jan 31.
10
Systematic review of smartphone-based passive sensing for health and wellbeing.
J Biomed Inform. 2018 Jan;77:120-132. doi: 10.1016/j.jbi.2017.12.008. Epub 2017 Dec 14.

引用本文的文献

2
Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing.
Proc ACM Interact Mob Wearable Ubiquitous Technol. 2018 Mar;2(1). doi: 10.1145/3191775. Epub 2018 Mar 26.
3
Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotyping.
Front Psychiatry. 2024 Aug 26;15:1422027. doi: 10.3389/fpsyt.2024.1422027. eCollection 2024.
4
An exploration in remote blood pressure management: Application of daily routine pattern based on mobile data in health management.
Fundam Res. 2021 Nov 16;2(1):154-165. doi: 10.1016/j.fmre.2021.11.006. eCollection 2022 Jan.
5
Mobile-based ecological momentary assessment and intervention: bibliometric analysis.
Front Psychiatry. 2024 Feb 26;15:1300739. doi: 10.3389/fpsyt.2024.1300739. eCollection 2024.
7
Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study.
JMIR Mhealth Uhealth. 2023 Aug 28;11:e41833. doi: 10.2196/41833.
8
The relationship between appraisals of auditory verbal hallucinations and real-time affect and social functioning.
Schizophr Res. 2022 Dec;250:112-119. doi: 10.1016/j.schres.2022.10.015. Epub 2022 Nov 16.
10
Personalized digital intervention for depression based on social rhythm principles adds significantly to outpatient treatment.
Front Digit Health. 2022 Sep 2;4:870522. doi: 10.3389/fdgth.2022.870522. eCollection 2022.

本文引用的文献

2
Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.
Psychiatr Rehabil J. 2015 Sep;38(3):218-226. doi: 10.1037/prj0000130. Epub 2015 Apr 6.
3
Wearable devices as facilitators, not drivers, of health behavior change.
JAMA. 2015 Feb 3;313(5):459-60. doi: 10.1001/jama.2014.14781.
4
Augmenting psychoeducation with a mobile intervention for bipolar disorder: a randomized controlled trial.
J Affect Disord. 2015 Mar 15;174:23-30. doi: 10.1016/j.jad.2014.10.053. Epub 2014 Nov 8.
6
Passive and In-situ Assessment of Mental and Physical Well-being using Mobile Sensors.
Proc ACM Int Conf Ubiquitous Comput. 2011;2011:385-394. doi: 10.1145/2030112.2030164.
7
Smartphone data as objective measures of bipolar disorder symptoms.
Psychiatry Res. 2014 Jun 30;217(1-2):124-7. doi: 10.1016/j.psychres.2014.03.009. Epub 2014 Mar 13.
8
Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia.
Schizophr Bull. 2014 Nov;40(6):1244-53. doi: 10.1093/schbul/sbu033. Epub 2014 Mar 8.
9
Smartphones for smarter delivery of mental health programs: a systematic review.
J Med Internet Res. 2013 Nov 15;15(11):e247. doi: 10.2196/jmir.2791.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验