Digital community assets: Investigating the impact of online engagement with arts and peer support groups on mental health during COVID-19.

The digitisation of mental health support has accelerated since the outbreak of the COVID-19 pandemic. This study investigated the impact of digital engagement with community assets on mental health during COVID-19. Digital engagement is typically not location-bound, but the restricted movement enforced during 'lockdowns' meant that people were primarily accessing digital community assets from their home environments. We report findings from a study utilising two creative workshops and semi-structured interviews to investigate how support operates in and through three digital community assets; an online peer support forum, a social enterprise running regular creative challenges nationally via social media and a local in-person creative arts support group. The concept of 'more or less digital' captures the ways that people's experiences of digital community assets extend beyond the platforms to incorporate settings of use. The analysis identifies how support is diluted through digital engagement, the value of minimal and muted forms of engagement and user-led designs for future hybrid forms of support. The article concludes by emphasising the importance of analysing digital community asset engagement in the settings of use and how such knowledge is vital for planning support in a future under continual pressure to be increasingly digital.

Blending Cognitive Analytic Therapy With a Digital Support Tool: Mixed Methods Study Involving a User-Centered Design of a Prototype App.

BACKGROUND: Patients can struggle to make good use of psychotherapy owing to deficits in awareness, and digital technologies that support awareness are at a premium. Currently, when patients participate in cognitive analytic therapy (CAT), the technology supporting relational awareness work involves completion of paper-based worksheets as between-session tasks. OBJECTIVE: We aimed to design, with therapists and patients, a prototype digital mobile app. This was to help patients better engage in the "recognition" phase of the CAT treatment model by providing an unobtrusive means for practicing relational awareness with dynamic feedback on progress. METHODS: A national online survey was conducted with CAT therapists (n=50) to determine readiness for adoption of a mobile app in clinical practice and to identify core content, functionality, and potential barriers to adoption. A prototype mobile app based on data and existing paper-based worksheets was built. Initial face-to-face user testing of the prototype system was completed with three therapists and three CAT expatients. RESULTS: Among the therapists surveyed, 72% (36/50) reported not currently using any digital tools during CAT. However, the potential value of a mobile app to support patient awareness was widely endorsed. Areas of therapist concern were data security, data governance, and equality of access. These concerns were mirrored during subsequent user testing by CAT therapists. Expatients generated additional user specifications on the design, functionality, and usability of the app. Results from both streams were integrated to produce five key changes for the reiteration of the app. CONCLUSIONS: The user-centered design process has enabled a prototype CAT-App to be developed to enhance the relational awareness work of CAT. This means that patients can now practice relational awareness in a much more unobtrusive manner and with ongoing dynamic feedback of progress. Testing the acceptability and feasibility of this technological innovation in clinical practice is the next stage in the research process, which has since been conducted and has been submitted. The important challenges of data protection and governance must be navigated in order to ensure implementation and adoption if the CAT-App is found to be acceptable and clinically effective.

Correction: Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series.

[This corrects the article DOI: 10.2196/19888.].

Evaluation of a Mobile App to Enhance Relational Awareness and Change During Cognitive Analytic Therapy: Mixed Methods Case Series.

BACKGROUND: There has been a lack of technological innovation regarding improving the delivery of integrative psychotherapies. This project sought to evaluate an app designed to replace previous paper-based methods supporting relational awareness and change during cognitive analytic therapy (CAT). OBJECTIVE: We aimed to assess patients' and therapists' experience of using the technology (ie, the "CAT-App") and to evaluate the relationship between app usage and clinical outcome. METHODS: The design was a mixed methods case series. Patients completed the Clinical Outcomes in Routine Evaluation-Outcome Measure pre- and post-CAT. Mood data plus the frequency and effectiveness of relational awareness and change were collected via the app. Therapists and patients were interviewed about their experiences using the app. RESULTS: Ten patients (treated by 3 therapists) were enrolled; seven completed treatment and 4 had a reliable improvement in their mental health. App usage and mood change did not differ according to clinical outcome, but there was a statistically significant difference in app usage between completers and dropouts. The qualitative themes described by the therapists were (1) the challenge of incorporating the technology into their clinical practice and (2) the barriers and benefits of the technology. Clients' themes were (1) data protection, (2) motivation and engagement, and (3) restrictions versus flexibility. CONCLUSIONS: The CAT-App is capable of supporting relational awareness and change and is an upgrade on older, paper-based formats. Further clinical evaluation is required.

Utility of the COM-B model in identifying facilitators and barriers to maintaining a healthy postnatal lifestyle following a diagnosis of gestational diabetes: a qualitative study.

OBJECTIVES: Previous qualitative research investigating the experiences of women diagnosed with gestational diabetes (GD) has provided important insights into the development of behaviour change interventions. However, these studies often lack a theoretical underpinning. This study explored the use of the capability, opportunity, motivation and behaviour (COM-B) framework (which proposes that individuals need the capability, opportunity and motivation to perform a particular behaviour) to code and the socioecological model to contextualise participant responses to better inform intervention development. DESIGN: Qualitative semistructured interviews are using purposive sampling. Interviews were audio-recorded, transcribed and coded using the COM-B framework. A socioecological approach was adopted to understand the context of intervention facets. SETTING: Interviews were conducted in a secondary care setting in South Yorkshire. PARTICIPANTS: Twenty-seven postnatal women with a previous diagnosis of GD were interviewed. RESULTS: Applying the COM-B framework to code participant, responses identified 16 key subthemes which reflected either: capability, opportunity or motivation components of the model. Four domains adapted from the socioecological model: individual, family life, community and healthcare provision; contextualised factors are important for these women in terms of behaviour change. Emotional response at the individual level was highly motivating or demotivating. Factors related to family life and community were particularly dominant and had the potential to either facilitate or impede change. We found many participants relied on healthcare provision during the prenatal and postnatal periods with timing and positive relationships being key to good care. CONCLUSIONS: Our study provides further insight into the factors crucial for behaviour change in women diagnosed with GD. By innovatively applying the COM-B framework in a socioecological context, it is clear intervention facets need to target microlevel through the macrolevel to engage this population in behaviour change. Future work should consider family-level intervention as this could allow for sustained behaviour change and consequently prevent the development of type 2 diabetes mellitus.

A Virtual Agent to Support Individuals Living With Physical and Mental Comorbidities: Co-Design and Acceptability Testing.

BACKGROUND: Individuals living with long-term physical health conditions frequently experience co-occurring mental health problems. This comorbidity has a significant impact on an individual's levels of emotional distress, health outcomes, and associated health care utilization. As health care services struggle to meet demand and care increasingly moves to the community, digital tools are being promoted to support patients to self-manage their health. One such technology is the autonomous virtual agent (chatbot, conversational agent), which uses artificial intelligence (AI) to process the user's written or spoken natural language and then to select or construct the corresponding appropriate responses. OBJECTIVE: This study aimed to co-design the content, functionality, and interface modalities of an autonomous virtual agent to support self-management for patients with an exemplar long-term condition (LTC; chronic pulmonary obstructive disease [COPD]) and then to assess the acceptability and system content. METHODS: We conducted 2 co-design workshops and a proof-of-concept implementation of an autonomous virtual agent with natural language processing capabilities. This implementation formed the basis for video-based scenario testing of acceptability with adults with a diagnosis of COPD and health professionals involved in their care. RESULTS: Adults (n=6) with a diagnosis of COPD and health professionals (n=5) specified 4 priority self-management scenarios for which they would like to receive support: at the time of diagnosis (information provision), during acute exacerbations (crisis support), during periods of low mood (emotional support), and for general self-management (motivation). From the scenario testing, 12 additional adults with COPD felt the system to be both acceptable and engaging, particularly with regard to internet-of-things capabilities. They felt the system would be particularly useful for individuals living alone. CONCLUSIONS: Patients did not explicitly separate mental and physical health needs, although the content they developed for the virtual agent had a clear psychological approach. Supported self-management delivered via an autonomous virtual agent was acceptable to the participants. A co-design process has allowed the research team to identify key design principles, content, and functionality to underpin an autonomous agent for delivering self-management support to older adults living with COPD and potentially other LTCs.

Identifying research priorities for digital technology in mental health care: results of the James Lind Alliance Priority Setting Partnership.

Digital technology, including the internet, smartphones, and wearables, provides the possibility to bridge the mental health treatment gap by offering flexible and tailored approaches to mental health care that are more accessible and potentially less stigmatising than those currently available. However, the evidence base for digital mental health interventions, including demonstration of clinical effectiveness and cost-effectiveness in real-world settings, remains inadequate. The James Lind Alliance Priority Setting Partnership for digital technology in mental health care was established to identify research priorities that reflect the perspectives and unmet needs of people with lived experience of mental health problems and use of mental health services, their carers, and health-care practitioners. 644 participants contributed 1369 separate questions, which were reduced by qualitative thematic analysis into six overarching themes. Following removal of out-of-scope questions and a comprehensive search of existing evidence, 134 questions were verified as uncertainties suitable for research. These questions were then ranked online and in workshops by 628 participants to produce a shortlist of 26. The top ten research priorities, which were identified by consensus at a stakeholder workshop, should inform research policy and funding in this field. Identified priorities primarily relate to the safety and efficacy of digital technology interventions in comparison with face-to-face interventions, evidence of population reach, mechanisms of therapeutic change, and the ways in which the effectiveness of digital interventions in combination with human support might be optimised.

Reducing risk of type 2 diabetes after gestational diabetes: a qualitative study to explore the potential of technology in primary care.

BACKGROUND: Despite the seven-fold increased risk of type 2 diabetes mellitus (T2DM) among females previously diagnosed with gestational diabetes (GD), annual rates of follow-up in primary care are low. There is a need to consider how to reduce the incidence of progression to T2DM among this high-risk group. AIM: To examine the views of females diagnosed with GD to ascertain how to improve primary care support postnatally, and the potential role of technology in reducing the risk of progression to T2DM. DESIGN AND SETTING: A qualitative study of a purposive sample of 27 postnatal females leaving secondary care with a recent diagnosis of GD. METHOD: Semi-structured interviews were conducted with 27 females, who had been previously diagnosed with GD, at around 6-12 weeks postnatally. Interviews were audiotaped, transcribed, and analysed thematically. RESULTS: Facilitators and barriers to engaging in a healthy postnatal lifestyle were identified, the most dominant being competing demands on time. Although females were generally satisfied with the secondary care they received antenatally, they felt abandoned postnatally and were uncertain what to expect from their GP in terms of follow-up and support. Females felt postnatal care could be improved by greater clarity regarding this, and enhanced by peer support, multidisciplinary input, and subsidised facilities. Technology was seen as a potential adjunct by providing information, enabling flexible and personalised self-management, and facilitating social support. CONCLUSION: A more tailored approach for females previously diagnosed with GD may help reduce the risk of progression to T2DM. A need for future research to test the efficacy of using technology as an adjunct to current care was identified.

Qualitative Exploration of the Potential for Adverse Events When Using an Online Peer Support Network for Mental Health: Cross-Sectional Survey.

BACKGROUND: Online peer support networks are a growing area of mental health support for offering social connection, identity, and support. However, it has been reported that not all individuals have a positive experience on such networks. The potential for adverse events within a moderated online peer support network is a new area of research exploration. OBJECTIVE: The objective of the study was to determine if use of an online moderated peer networks leads to adverse events for users. METHODS: Four biannual online surveys (October 2014 to March 2016) were conducted by a large national UK mental health charity, with users of their online peer support network exploring personal safety, moderation, experiences on the site, and how the site could be improved. Data were analyzed using thematic analysis by 2 independent researchers using a priori themes: negative experiences of moderation, social exclusion, contagion, negative interactions with other users, online relationships, co-rumination and collusion, and other. RESULTS: In total, 2353 survey responses were logged with 197 (8.37%) documenting an adverse event of negative experience. A dominant theme of negative experiences of moderation emerged (73/197, 37.1%) with evidence of social exclusion (50/197, 25.4%). Reading user posts was shown to be a cause of worry and distress for a few users, and analysis highlighted several instances of depressogenic and emotional contagion as well as some limited evidence of behavioral contagion (46/197, 23.4%). Very limited evidence of co-rumination (1/197, 0.5%) and no evidence of collusion were identified. CONCLUSIONS: Evidence of adverse events was identified at low levels in the sample of respondents, although we have no comparison data to indicate if levels are low compared with comparable platforms. Not all users of online peer support networks find them wholly beneficial. Research must explore what works for whom. The next stage of service development should consider which users may be likely to receive no benefit, or even deteriorate, as a result of using the service.

Smart Clothing for Falls Protection and Detection: User-Centred Co-Design and Feasibility Study.

The prevalence and impact of hip fractures on the health and wealth of nations is a global problem and source of health inequalities. This paper reports on the co-design and feasibility testing of a new range of protective, smart clothing. The feasibility of research in a population of older adults in supported living is explored, as are the conceptualisation and measurement of adherence.

Prevalence and Measurement of Anxiety in Samples of Patients With Heart Failure: Meta-analysis.

OBJECTIVES: Rates of anxiety in patients with heart failure (HF) vary widely, and not all assessment instruments used in this patient population are appropriate. It is timely to consolidate the evidence base and establish the prevalence and variance of anxiety in HF samples. METHODS: A systematic review, meta-analysis, and meta-regression were conducted to identify the prevalence, variance, and measurement of anxiety in patients with HF. RESULTS: A total of 14,367 citations were identified, with 73 studies meeting inclusion criteria. A random effects pooled prevalence of 13.1% (95% confidence interval [CI], 9.25%-16.86%) for anxiety disorders, 28.79% (95% CI, 23.30%-34.29) for probable clinically significant anxiety, and 55.5% (95% CI, 48.08%-62.83%) for elevated symptoms of anxiety was identified. Rates of anxiety were highest when measured using the Brief Symptom Scale-Anxiety scale (72.3%) and lowest when measured using the Generalised Anxiety Disorder-7 (6.3%). CONCLUSION: Many patients with HF would benefit if screened for anxiety and treated. The conceptualization and measurement of anxiety accounted for most variance in prevalence rates. The Generalised Anxiety Disorder-7 or the Hospital Anxiety and Depression Scale appear to be the most appropriate instruments for this clinical population, with evidence to suggest they can discriminate between depression and anxiety, omit somatic items that may contaminate identification of anxiety in a population with physical comorbidities, and provide thresholds with which to differentiate patients and target treatments. Although there are limitations with the collation of diverse measurement methods, the current review provides researchers and clinicians with a more granular knowledge of prevalence estimates of anxiety in a population of HF patients.

You can't get anything perfect: "user perspectives on the delivery of cognitive behavioural therapy by telephone".

Remote psychotherapy services such as telephone-administered cognitive behavioural therapy (T-CBT) have the potential to provide effective psychological treatment whilst simultaneously maximising efficiency, lowering costs and improving access to care. However, a lack of research examining the acceptability of non face-to-face psychotherapy means that little is known about users' perceptions of these delivery models. This paper reports data from two qualitative evaluations of T-CBT delivered in the voluntary and occupational health sectors in the UK. It explores users' acceptance of T-CBT, contrasting initial socially-construed expectations with more positive regard derived from experiential norms. User satisfaction with T-CBT was mixed. However, the relative ease with which most participants adapted to telephone-based care was suggestive of a shared construct of mental health service provision that prioritised the accessibility and availability of services over the social, professional and medico-legal perspectives that conventionally promote the co-location of practitioner and client.

Nurse education: factors associated with attrition.

AIM: This paper is a report of a study to identify the factors having an impact on student completion rates in a preregistration programme. BACKGROUND: Nursing student attrition is an international issue causing concern in many parts of the developed world including Australia, the United States and Europe. In the United Kingdom, nursing student attrition has become a major issue, despite having one of the lowest general university dropout rates in the developed world. METHOD: A retrospective cohort study was conducted in 2007 using routinely-collected demographic and completion data on four cohorts of nursing students (1259 in total) studying at a large English university. FINDINGS: Students who were older on entry were more likely to complete the programme than younger students, and those who had only the minimum educational qualifications on entry were less likely to complete than those with higher-level qualifications. There was some evidence of increased risk of resigning from the course in students taking the child branch, and increased risk of discontinuation (involuntary removal) from the course in both male and black/minority ethnic students. There was also some evidence that the healthcare organization responsible for a student's placement could influence completion rates. CONCLUSION: To improve attrition rates on preregistration nursing programmes, higher education institutions should actively target recruitment at mature candidates; increase the level of qualification required to gain entry; examine course structures for flexibility and provide multi-level student support.