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Objectives: To study the end-user experiences of participants randomised to receive a blended digital intervention for relapse prevention in schizophrenia in the context of a cluster randomised controlled feasibility trial.Design: A qualitative interview design with thematic analysis was used.Method: A subsample of EMPOWER participants comprising 16 patients, 5 mental health staff and one carer were interviewed one-on-one.Results: Two overarching themes were constructed that were relevant for understanding end-user experiences within the EMPOWER trial: Affordances and Change Processes. Affordances described the processes underpinning how and why participants interacted with or avoided the various components of the intervention. Affordances spanned all EMPOWER components, including self-monitoring, peer support workers, clinical triaging, self-management messages and diary function. The affordances were Access to Social Connection, Access to Digital, Access to Mental Health Support, the Ability to Gauge Mental Health and Access to Mental Health Information. The affordances framework helped explain the multitude of engagement trajectories featured within the qualitative interviews. If participants sustained usage, affordances acted as a springboard for change processes, including increased self-confidence that patients could self-manage, noticing patterns and changes, and using EMPOWER as a conversation starter.Conclusions: The implementation process of EMPOWER was emergent and was best described by the intervention offering a range of affordances which could act as implementation barriers or facilitators depending on individual needs and wants. Affordances may present a sound theoretical framework for explaining end-user experiences.

BACKGROUND Recruitment processes for clinical trials of digital interventions for psychosis are seldom described in detail in the literature. Although trial staff have expertise in describing barriers to and facilitators of recruitment, a specific focus on understanding recruitment from the point of view of trial staff is rare, and because trial staff are responsible for meeting recruitment targets, a lack of research on their point of view is a key limitation. OBJECTIVE The primary aim of this study was to understand recruitment from the point of view of trial staff and discover what they consider important. METHODS We applied pluralistic ethnographic methods, including analysis of trial documents, observation, and focus groups, and explored the recruitment processes of the EMPOWER (Early Signs Monitoring to Prevent Relapse in Psychosis and Promote Well-being, Engagement, and Recovery) feasibility trial, which is a digital app–based intervention for people diagnosed with schizophrenia. RESULTS Recruitment barriers were categorized into 2 main themes: service characteristics (lack of time available for mental health staff to support recruitment, staff turnover, patient turnover [within Australia only], management styles of community mental health teams, and physical environment) and clinician expectations (filtering effects and resistance to research participation). Trial staff negotiated these barriers through strategies such as emotional labor (trial staff managing feelings and expressions to successfully recruit participants) and trying to build relationships with clinical staff working within community mental health teams. CONCLUSIONS Researchers in clinical trials for digital psychosis interventions face numerous recruitment barriers and do their best to work flexibly and to negotiate these barriers and meet recruitment targets. The recruitment process appeared to be enhanced by trial staff supporting each other throughout the recruitment stage of the trial.

BACKGROUND Recruitment processes for clinical trials of digital interventions for psychosis are seldom described in detail within the literature. While trial staff have expertise in describing barriers and facilitators to recruitment a specific focus on understanding recruitment from the point of view of trial staff is rare. OBJECTIVE The primary aim of this study was to understand recruitment from the point of view of trial staff and discover what they considered to be important. METHODS We applied pluralistic ethnographic methods including analysis of trial documents, observation and focus groups explored the recruitment processes of the EMPOWER feasibility trial (ISRCTN: 99559262) RESULTS Recruitment barriers fell into two main themes; service characteristics (lack of time available to mental health staff to support recruitment, staff turnover, patient turnover (within Australia only), management styles of community mental health teams, physical environment) and clinician expectations (filtering effects and resistance to research participation). Trial staff negotiated these barriers through strategies such as emotional labour (trial staff managing feelings and expressions in order to successfully recruit participants) and trying to build relationships with clinical staff working within community mental health teams. CONCLUSIONS Researchers in clinical trials for digital psychosis interventions face numerous recruitment barriers and do their best to work flexibly negotiate these barriers and meet recruitment targets. The recruitment process appeared to be enhanced by trial staff supporting each other throughout the recruitment stage of the trial. CLINICALTRIAL ISRCTN: 99559262 INTERNATIONAL REGISTERED REPORT RR2-10.2196/15634

Background: Recruitment processes for clinical trials of digital interventions for psychosis are seldom described in detail within the literature. While trial staff have expertise in describing barriers and facilitators to recruitment a specific focus on understanding recruitment from the point of view of trial staff is rare.Methods: We applied pluralistic ethnographic methods including analysis of trial documents, observation and focus groups explored the recruitment processes of the EMPOWER feasibility trial (ISRCTN: 99559262).Results: Recruitment barriers fell into two main themes; service characteristics (lack of time available to mental health staff to support recruitment, staff turnover, patient turnover (within Australia only), management styles of community mental health teams, physical environment) and clinician expectations (filtering effects and resistance to research participation). Trial staff negotiated these barriers through strategies such as emotional labour (trial staff managing feelings and expressions in order to successfully recruit participants) and trying to build relationships with clinical staff working within community mental health teams.Conclusions: Researchers in clinical trials for digital psychosis interventions face numerous recruitment barriers and do their best to work flexibly negotiate these barriers and meet recruitment targets. The recruitment process appeared to be enhanced by trial staff supporting each other throughout the recruitment stage of the trial.Trial Registration: (ISRCTN: 99559262 registered 21/12/2015)

BackgroundRelapse in schizophrenia is a major cause of distress and disability and is predicted by changes in symptoms such as anxiety, depression, and suspiciousness (early warning signs [EWSs]). These can be used as the basis for timely interventions to prevent relapse. However, there is considerable uncertainty regarding the implementation of EWS interventions.ObjectiveThis study was designed to establish the feasibility of conducting a definitive cluster randomized controlled trial comparing Early signs Monitoring to Prevent relapse in psychosis and prOmote Well-being, Engagement, and Recovery (EMPOWER) against treatment as usual (TAU). Our primary outcomes are establishing parameters of feasibility, acceptability, usability, safety, and outcome signals of a digital health intervention as an adjunct to usual care that is deliverable in the UK National Health Service and Australian community mental health service (CMHS) settings. We will assess the feasibility of candidate primary outcomes, candidate secondary outcomes, and candidate mechanisms for a definitive trial.MethodsWe will randomize CMHSs to EMPOWER or TAU. We aim to recruit up to 120 service user participants from 8 CMHSs and follow them for 12 months. Eligible service users will (1) be aged 16 years and above, (2) be in contact with local CMHSs, (3) have either been admitted to a psychiatric inpatient service or received crisis intervention at least once in the previous 2 years for a relapse, and (4) have an International Classification of Diseases-10 diagnosis of a schizophrenia-related disorder. Service users will also be invited to nominate a carer to participate. We will identify the feasibility of the main trial in terms of recruitment and retention to the study and the acceptability, usability, safety, and outcome signals of the EMPOWER intervention. EMPOWER is a mobile phone app that enables the monitoring of well-being and possible EWSs of relapse on a daily basis. An algorithm calculates changes in well-being based on participants’ own baseline to enable tailoring of well-being messaging and clinical triage of possible EWSs. Use of the app is blended with ongoing peer support.ResultsRecruitment to the trial began September 2018, and follow-up of participants was completed in July 2019. Data collection is continuing. The database was locked in July 2019, followed by analysis and disclosing of group allocation.ConclusionsThe knowledge gained from the study will inform the design of a definitive trial including finalizing the delivery of our digital health intervention, sample size estimation, methods to ensure successful identification, consent, randomization, and follow-up of participants, and the primary and secondary outcomes. The trial will also inform the final health economic model to be applied in the main trial.Trial RegistrationInternational Standard Randomized Controlled Trial Number (ISRCTN): 99559262; http://isrctn.com/ISRCTN99559262International Registered Report Identifier (IRRID)DERR1-10.2196/15058

BACKGROUND Relapse in schizophrenia is a major cause of distress and disability and is predicted by changes in symptoms such as anxiety, depression, and suspiciousness (early warning signs [EWSs]). These can be used as the basis for timely interventions to prevent relapse. However, there is considerable uncertainty regarding the implementation of EWS interventions. OBJECTIVE This study was designed to establish the feasibility of conducting a definitive cluster randomized controlled trial comparing Early signs Monitoring to Prevent relapse in psychosis and prOmote Well-being, Engagement, and Recovery (EMPOWER) against treatment as usual (TAU). Our primary outcomes are establishing parameters of feasibility, acceptability, usability, safety, and outcome signals of a digital health intervention as an adjunct to usual care that is deliverable in the UK National Health Service and Australian community mental health service (CMHS) settings. We will assess the feasibility of candidate primary outcomes, candidate secondary outcomes, and candidate mechanisms for a definitive trial. METHODS We will randomize CMHSs to EMPOWER or TAU. We aim to recruit up to 120 service user participants from 8 CMHSs and follow them for 12 months. Eligible service users will (1) be aged 16 years and above, (2) be in contact with local CMHSs, (3) have either been admitted to a psychiatric inpatient service or received crisis intervention at least once in the previous 2 years for a relapse, and (4) have an International Classification of Diseases-10 diagnosis of a schizophrenia-related disorder. Service users will also be invited to nominate a carer to participate. We will identify the feasibility of the main trial in terms of recruitment and retention to the study and the acceptability, usability, safety, and outcome signals of the EMPOWER intervention. EMPOWER is a mobile phone app that enables the monitoring of well-being and possible EWSs of relapse on a daily basis. An algorithm calculates changes in well-being based on participants’ own baseline to enable tailoring of well-being messaging and clinical triage of possible EWSs. Use of the app is blended with ongoing peer support. RESULTS Recruitment to the trial began September 2018, and follow-up of participants was completed in July 2019. Data collection is continuing. The database was locked in July 2019, followed by analysis and disclosing of group allocation. CONCLUSIONS The knowledge gained from the study will inform the design of a definitive trial including finalizing the delivery of our digital health intervention, sample size estimation, methods to ensure successful identification, consent, randomization, and follow-up of participants, and the primary and secondary outcomes. The trial will also inform the final health economic model to be applied in the main trial. CLINICALTRIAL International Standard Randomized Controlled Trial Number (ISRCTN): 99559262; http://isrctn.com/ISRCTN99559262