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本文引用的文献

1
A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.基于手机的严重精神疾病评估的两种交付方式比较:原生智能手机应用程序与仅使用短信的实施方式。
J Med Internet Res. 2013 Apr 5;15(4):e60. doi: 10.2196/jmir.2328.
2
Cognitive-self consciousness and metacognitive beliefs: Stress sensitization in individuals at ultra-high risk of developing psychosis.认知自我意识和元认知信念:处于精神病超高风险发展个体中的应激敏感化。
Br J Clin Psychol. 2013 Mar;52(1):26-41. doi: 10.1111/j.2044-8260.2012.02043.x. Epub 2012 Sep 7.
3
The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application.使用智能手机软件应用程序进行门诊自评精神病症状的可行性和有效性。
BMC Psychiatry. 2012 Oct 17;12:172. doi: 10.1186/1471-244X-12-172.
4
Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study.探索全系统示范试验中远程医疗和远程护理参与和采用的障碍:一项定性研究。
BMC Health Serv Res. 2012 Jul 26;12:220. doi: 10.1186/1472-6963-12-220.
5
Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial.远程医疗对二级保健利用和死亡率的影响:来自全系统示范集群随机试验的结果。
BMJ. 2012 Jun 21;344:e3874. doi: 10.1136/bmj.e3874.
6
Can't surf, won't surf: the digital divide in mental health.无法冲浪,也不愿冲浪:心理健康领域的数字鸿沟。
J Ment Health. 2012 Aug;21(4):395-403. doi: 10.3109/09638237.2012.689437. Epub 2012 Jun 19.
7
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.
8
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.
9
Healthcare in the pocket: mapping the space of mobile-phone health interventions.口袋里的医疗保健:手机健康干预措施的空间映射。
J Biomed Inform. 2012 Feb;45(1):184-98. doi: 10.1016/j.jbi.2011.08.017. Epub 2011 Sep 9.
10
A comprehensive evaluation of the impact of telemonitoring in patients with long-term conditions and social care needs: protocol for the whole systems demonstrator cluster randomised trial.对长期患病和有社会护理需求的患者进行远程监护的影响进行全面评估:全系统示范群随机试验方案。
BMC Health Serv Res. 2011 Aug 5;11:184. doi: 10.1186/1472-6963-11-184.

将基于手机的精神病评估整合到人们的日常生活和临床护理中:一项定性研究。

Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study.

机构信息

Division of Clinical Psychology, School of Psychological Sciences, the University of Manchester, Oxford Road, Manchester, United Kingdom.

出版信息

BMC Psychiatry. 2013 Jan 23;13:34. doi: 10.1186/1471-244X-13-34.

DOI:10.1186/1471-244X-13-34
PMID:23343329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3562160/
Abstract

BACKGROUND

Over the past decade policy makers have emphasised the importance of healthcare technology in the management of long-term conditions. Mobile-phone based assessment may be one method of facilitating clinically- and cost-effective intervention, and increasing the autonomy and independence of service users. Recently, text-message and smartphone interfaces have been developed for the real-time assessment of symptoms in individuals with schizophrenia. Little is currently understood about patients' perceptions of these systems, and how they might be implemented into their everyday routine and clinical care.

METHOD

24 community based individuals with non-affective psychosis completed a randomised repeated-measure cross-over design study, where they filled in self-report questions about their symptoms via text-messages on their own phone, or via a purpose designed software application for Android smartphones, for six days. Qualitative interviews were conducted in order to explore participants' perceptions and experiences of the devices, and thematic analysis was used to analyse the data.

RESULTS

Three themes emerged from the data: i) the appeal of usability and familiarity, ii) acceptability, validity and integration into domestic routines, and iii) perceived impact on clinical care. Although participants generally found the technology non-stigmatising and well integrated into their everyday activities, the repetitiveness of the questions was identified as a likely barrier to long-term adoption. Potential benefits to the quality of care received were seen in terms of assisting clinicians, faster and more efficient data exchange, and aiding patient-clinician communication. However, patients often failed to see the relevance of the systems to their personal situations, and emphasised the threat to the person centred element of their care.

CONCLUSIONS

The feedback presented in this paper suggests that patients are conscious of the benefits that mobile-phone based assessment could bring to clinical care, and that the technology can be successfully integrated into everyday routine. However, it also suggests that it is important to demonstrate to patients the personal, as well as theoretical, benefits of the technology. In the future it will be important to establish whether clinical practitioners are able to use this technology as part of a personalised mental health regime.

摘要

背景

在过去的十年中,政策制定者强调了医疗技术在管理长期疾病方面的重要性。基于移动电话的评估可能是促进临床和成本效益干预以及提高服务用户自主性和独立性的一种方法。最近,已经开发出用于实时评估精神分裂症个体症状的短信和智能手机接口。目前,人们对这些系统的患者感知知之甚少,也不知道如何将这些系统融入他们的日常生活和临床护理中。

方法

24 名社区非情感性精神病患者完成了一项随机重复测量交叉设计研究,他们通过自己的手机短信或专为 Android 智能手机设计的应用软件,在六天内填写关于自己症状的自我报告问题。进行了定性访谈,以探索参与者对这些设备的看法和经验,并用主题分析对数据进行了分析。

结果

从数据中出现了三个主题:i)可用性和熟悉性的吸引力,ii)可接受性、有效性和融入家庭日常生活,以及 iii)对临床护理的感知影响。尽管参与者普遍认为该技术没有污名化,并且很好地融入了他们的日常生活,但问题的重复性被认为是长期采用的一个潜在障碍。认为该技术可能会提高护理质量,例如帮助临床医生、更快、更有效地进行数据交换以及帮助患者与临床医生沟通。然而,患者往往没有看到该系统与他们个人情况的相关性,并强调对以人为中心的护理元素的威胁。

结论

本文提出的反馈表明,患者意识到基于移动电话的评估可以为临床护理带来的好处,并且该技术可以成功地融入日常生活。然而,这也表明向患者展示技术的个人和理论上的好处非常重要。未来,重要的是要确定临床医生是否能够将这种技术作为个性化心理健康治疗方案的一部分。