A Qualitative Study of Service User and Staff Views on Digital Remote Monitoring for Unusual Distressing Experiences (psychosis)
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 118
- 试验地点
- 6
- 主要终点
- Service user and staff views on complex digital remote monitoring
研究概览
简要总结
Psychosis is a severe mental health problem. Symptoms of psychosis include hallucinations (e.g. hearing voices that others cannot hear) and delusions (unusual, often troubling beliefs). People who experience psychosis often have times when their symptoms are relatively stable. At other times, their symptoms may increase and become much more problematic (a 'relapse'). Helping people with psychosis to stay well (preventing relapses) is an important and time-consuming challenge for mental health services.
Smartphones and other digital technologies are now widespread. This offers a solution to help tackle the overwhelming demand on services and to enable people with psychosis to access mental health support when they need it most (e.g. when relapsing). Research shows that people with psychosis are often willing to report their symptoms using a smartphone app. Apps like this can alert health professionals when someone needs extra support, but can be burdensome to use long-term. The investigators want to make a system that is less burdensome and is personalised to users' needs and experiences (a 'complex digital remote monitoring system'). Recent research shows that information gathered routinely by individuals' smartphones (e.g. GPS, step count) might help predict relapses of psychosis. The investigators want to use this method in a complex digital remote monitoring system. First, the investigators need to know what people with psychosis and mental health staff think about this idea.
The investigators will interview around sixty adults with psychosis and around forty staff, recruited from UK mental health services (Manchester, Glasgow, Edinburgh, Cardiff, London, Sussex). These one-off, audio-recorded interviews will last up to 60 minutes. The interviewer will ask about participants' views on complex digital remote monitoring. The investigators will then systematically analyse the interviews. Findings will inform the design of the investigators' own complex digital remote monitoring system and future digital tools designed by other researchers. NIHR and Wellcome are funding this study.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 16 Years 至 —(Child, Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Clinical diagnosis of schizophrenia spectrum disorder (ICD10 F20-29) OR meets the early Intervention for Psychosis Service entry criteria, operationally defined using the Positive and Negative Syndrome Scale (PANSS) and/or the psychosis transition criteria of the Comprehensive Assessment of At-Risk Mental States (CAARMS).
- •In contact with mental health services
- •Over 16 years of age
- •Ability to give informed consent
排除标准
- •Not sufficiently stable to take part in an interview
- •Not sufficiently fluent in English to take part in an interview
- •STAFF PARTICIPANTS
- •Inclusion Criteria:
- •Work within an adult NHS service providing mental health support to people who experience psychosis / severe mental health problems
- •Ability to give informed consent
- •Exclusion Criteria:
- •Not sufficiently fluent in English to take part in an interview
结局指标
主要结局
Service user and staff views on complex digital remote monitoring
时间窗: one hour
Qualitative interviews will explore service users' and mental health staff members' views about using smartphones or wearable devices to manage mental health. In particular, we will seek their views about the use of 'complex digital remote monitoring' systems\*. The interview will follow a detailed topic guide. \*Complex digital remote monitoring systems in this context include a combination of active symptom monitoring, passive sensing technology, contextual data (GPS location/accelerometer) and/or machine learning algorithms.
次要结局
- Demographics(one hour)
研究者
Sandra Bucci
Professor Sandra Bucci
Manchester Academic Health Science Centre
