Using a digital personal recovery resource in routine mental health practice: feasibility, acceptability and outcomes.

BACKGROUND: Digital technologies enable the dissemination of multimedia resources to support adults with serious mental illness in their self-management and personal recovery. However, delivery needs to accommodate engagement and accessibility challenges. AIMS: We examined how a digital resource, designed for mental health workers and consumers to use together in session, would be used in routine practice. METHODS: Thirty consumers and their workers participated. The web-based resource, Self-Management And Recovery Technology (SMART), was available to use within and between sessions, for a 6-month period. Workers initiated in-session use where relevant. Feasibility was explored via uptake and usage data; and acceptability and impact via questionnaires. A pre-post design assessed recovery outcomes for consumers and relationship outcomes for consumers and workers. RESULTS: In participating mental health practitioner-consumer dyads, consumers gave strong acceptability ratings, and reported improved working relationships. However, the resource was typically used in one-third or fewer appointments, with consumers expressing a desire for greater in-session use. Improvements in self-rated personal recovery were not observed, possibly contributed to by low usage. CONCLUSIONS: In-session use was found helpful by consumers but may be constrained by other demands in mental health care delivery: collaborative use may require dedicated staff time or more formal implementation.

Randomised controlled trial of a digitally assisted low intensity intervention to promote personal recovery in persisting psychosis: SMART-Therapy study protocol.

BACKGROUND: Psychosocial interventions have an important role in promoting recovery in people with persisting psychotic disorders such as schizophrenia. Readily available, digital technology provides a means of developing therapeutic resources for use together by practitioners and mental health service users. As part of the Self-Management and Recovery Technology (SMART) research program, we have developed an online resource providing materials on illness self-management and personal recovery based on the Connectedness-Hope-Identity-Meaning-Empowerment (CHIME) framework. Content is communicated using videos featuring persons with lived experience of psychosis discussing how they have navigated issues in their own recovery. This was developed to be suitable for use on a tablet computer during sessions with a mental health worker to promote discussion about recovery. METHODS/DESIGN: This is a rater-blinded randomised controlled trial comparing a low intensity recovery intervention of eight one-to-one face-to-face sessions with a mental health worker using the SMART website alongside routine care, versus an eight-session comparison condition, befriending. The recruitment target is 148 participants with a schizophrenia-related disorder or mood disorder with a history of psychosis, recruited from mental health services in Victoria, Australia. Following baseline assessment, participants are randomised to intervention, and complete follow up assessments at 3, 6 and 9 months post-baseline. The primary outcome is personal recovery measured using the Process of Recovery Questionnaire (QPR). Secondary outcomes include positive and negative symptoms assessed with the Positive and Negative Syndrome Scale, subjective experiences of psychosis, emotional symptoms, quality of life and resource use. Mechanisms of change via effects on self-stigma and self-efficacy will be examined. DISCUSSION: This protocol describes a novel intervention which tests new therapeutic methods including in-session tablet computer use and video-based peer modelling. It also informs a possible low intensity intervention model potentially viable for delivery across the mental health workforce. TRIAL REGISTRATION: NCT02474524 , 24 May 2015, retrospectively registered during the recruitment phase.

Technology for societal change: Evaluating a mobile app addressing the emotional needs of people experiencing homelessness.

New technology that aims to tackle the systemic and societal problems face challenges bringing together diverse stakeholder perspectives effectively. We evaluate how an emotion-led approach, with a Living Lab process may be effective in these situations. We discuss findings and their implications for this in the context of the development and ongoing maintenance of a web app called "Ask Izzy". Ask Izzy supports people who are homeless or are otherwise disadvantaged by providing information and consequently improving their everyday life and wellbeing. We present a mixed-method evaluation of the web app: firstly, we evaluate impact of key design decisions upon engagement. Secondly, we conducted semi-structured interviews with 30 participants who are either homeless, ex-homeless or service providers and used content analysis. Then we demonstrate that our emotion-led approach brings a novel perspective on concerns from key actors influencing the refinement of the app. The results section outlines emotional goals such as a feeling of control that were important to consider in order to meet the needs of both end users and the wider service provision network. Our study provides recommendations and an approach that may inform others in developing and delivering similar health care and related systems and services.

User-Centered Value Specifications for Technologies Supporting Chronic Low-Back Pain Management.

Low-back pain (LBP) is a leading cause of disability globally. It is complex and multifactorial, with a miriad of factors interwining and interacting to burden healthcare and individuals. Self-management support is central as part of best-practice to improve outcomes. In recent years, informatics has increasingly been considered to support care; however, due to its complex nature, several factors need to be unpacked in order to consider how technologies might support LBP. The present study utilised semi-structured interviews involving N = 20 participants (n = 10 practicing clinicains and n = 10 indidivuals living with chronic LBP (cLBP)) to collect user-centered perceptions and considerations for key factors central to technology succeeding in supporting cLBP. Six themes were identified: tracking, alterts, user-experience, communication, feedback, and content. Findings lay groundwork for future research aimed at developing technologies that can encourage shared-decision making in supporting cLBP management in a particpatory health paradigm.

Development of a Mobile Clinical Prediction Tool to Estimate Future Depression Severity and Guide Treatment in Primary Care: User-Centered Design.

BACKGROUND: Around the world, depression is both under- and overtreated. The diamond clinical prediction tool was developed to assist with appropriate treatment allocation by estimating the 3-month prognosis among people with current depressive symptoms. Delivering clinical prediction tools in a way that will enhance their uptake in routine clinical practice remains challenging; however, mobile apps show promise in this respect. To increase the likelihood that an app-delivered clinical prediction tool can be successfully incorporated into clinical practice, it is important to involve end users in the app design process. OBJECTIVE: The aim of the study was to maximize patient engagement in an app designed to improve treatment allocation for depression. METHODS: An iterative, user-centered design process was employed. Qualitative data were collected via 2 focus groups with a community sample (n=17) and 7 semistructured interviews with people with depressive symptoms. The results of the focus groups and interviews were used by the computer engineering team to modify subsequent protoypes of the app. RESULTS: Iterative development resulted in 3 prototypes and a final app. The areas requiring the most substantial changes following end-user input were related to the iconography used and the way that feedback was provided. In particular, communicating risk of future depressive symptoms proved difficult; these messages were consistently misinterpreted and negatively viewed and were ultimately removed. All participants felt positively about seeing their results summarized after completion of the clinical prediction tool, but there was a need for a personalized treatment recommendation made in conjunction with a consultation with a health professional. CONCLUSIONS: User-centered design led to valuable improvements in the content and design of an app designed to improve allocation of and engagement in depression treatment. Iterative design allowed us to develop a tool that allows users to feel hope, engage in self-reflection, and motivate them to treatment. The tool is currently being evaluated in a randomized controlled trial.

Promoting Personal Recovery in People with Persisting Psychotic Disorders: Development and Pilot Study of a Novel Digital Intervention.

BACKGROUND: For people with persisting psychotic disorders, personal recovery has become an important target of mental health services worldwide. Strongly influenced by mental health service consumer perspectives, personal recovery refers to being able to live a satisfying and contributing life irrespective of ongoing symptoms and disability. Contact with peers with shared lived experience is often cited as facilitative of recovery. We aimed to develop and pilot a novel recovery-based digitally supported intervention for people with a psychotic illness. METHODS: We developed a website to be used on a tablet computer by mental health workers to structure therapeutic discussions about personal recovery. Central to the site was a series of video interviews of people with lived experience of psychosis discussing how they had navigated issues within their own recovery based on the Connectedness-Hope-Identity-Meaning-Empowerment model of recovery. We examined the feasibility and acceptability of an 8-session low intensity intervention using this site in 10 participants with persisting psychotic disorders and conducted a proof-of-concept analysis of outcomes. RESULTS: All 10 participants completed the full course of sessions, and it was possible to integrate use of the website into nearly all sessions. Participant feedback confirmed that use of the website was a feasible and acceptable way of working. All participants stated that they would recommend the intervention to others. Post-intervention, personal recovery measured by the Questionnaire for the Process of Recovery had improved by an average standardized effect of d = 0.46, 95% CI [0.07, 0.84], and 8 of the 10 participants reported that their mental health had improved since taking part in the intervention. CONCLUSION: In-session use of digital resources featuring peer accounts of recovery is feasible and acceptable and shows promising outcomes. A randomized controlled trial is the next step in evaluating the efficacy of this low intensity intervention when delivered in conjunction with routine mental health care.