The What and the How: A pilot study of feedback from service providers and consumers about service development in new urban mental health hub.

OBJECTIVE: An inner-city hospital purchased a local hotel to provide support, digital engagement, skill development groups and referrals to partner agencies. Being aware of the hotel's importance to the local community, we sought feedback on a model of care relevant to perceived gaps and needs in support for mental health. METHODS: Four online focus groups included healthcare professionals, nominated opinion leaders from local Non-Government Organisations (NGOs), consumers and carers to reflect a range of views. Focus group data were qualitatively analysed. RESULTS: Participants made useful suggestions about WHAT educational, preventative and therapeutic services were needed. They emphasised the importance of HOW people engage with the service, the balance between accessibility and security. Other themes included targeting people with limited health literacy, integration with existing services, building on site heritage and ongoing evaluation of objectives and needs. CONCLUSIONS: This pilot study demonstrated clear support for providing safe and welcoming access to services, with resources and access to services to improve their health and wellbeing built on principles of social justice and inclusion. Participants had constructive ideas of what was needed, and ongoing patient and public research is anticipated.

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review.

An integrative review investigating the incorporation of artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health care settings was undertaken of published literature between 2016 and 2021 across six databases. Four studies met the research question and the inclusion criteria. The primary theme identified was trust and confidence. To date, there is limited research regarding the use of AI-based decision support systems in mental health. Our review found that significant barriers exist regarding its incorporation into practice primarily arising from uncertainty related to clinician's trust and confidence, end-user acceptance and system transparency. More research is needed to understand the role of AI in assisting treatment and identifying missed care. Researchers and developers must focus on establishing trust and confidence with clinical staff before true clinical impact can be determined. Finally, further research is required to understand the attitudes and beliefs surrounding the use of AI and related impacts for the wellbeing of the end-users of care. This review highlights the necessity of involving clinicians in all stages of research, development and implementation of artificial intelligence in care delivery. Earning the trust and confidence of clinicians should be foremost in consideration in implementation of any AI-based decision support system. Clinicians should be motivated to actively embrace the opportunity to contribute to the development and implementation of new health technologies and digital tools that assist all health care professionals to identify missed care, before it occurs as a matter of importance for public safety and ethical implementation. AI-basesd decision support tools in mental health settings show most promise as trust and confidence of clinicians is achieved.

The Ketamine Side Effect Tool (KSET): A comprehensive measurement-based safety tool for ketamine treatment in psychiatry.

OBJECTIVES: On a background of the rapidly expanding clinical use of ketamine and esketamine for treatment of depression and other conditions, we examined safety monitoring, seeking to identify knowledge gaps relevant to clinical practice. METHODS: An international group of psychiatrists discussed the issue of safety of ketamine and esketamine and came to a consensus on key safety gaps. RESULTS: There is no standard safety monitoring for off-label generic ketamine. For intranasal esketamine, each jurisdiction providing regulatory approval may specify monitoring. Treatment is often provided beyond the period for which safety has been demonstrated, with no agreed framework for monitoring of longer term side effects for either generic ketamine or intranasal esketamine. LIMITATIONS: The KSET has established face and content validity, however it has not been validated against other measures of safety. CONCLUSIONS: We recommend the Ketamine Side Effect Tool (KSET) as a comprehensive safety monitoring tool for acute and longer term side effects.

Exploring and reorienting psychiatrists' attitudes regarding smoking cessation and its potential to improve mental health outcomes: a pilot study.

OBJECTIVE: The aims of this study were to explore the knowledge, attitudes, confidence and practices of Australian psychiatrists and psychiatry registrars with regard to smoking cessation with their patients and to promote clinical practice reflection and re-framing. METHODS: A mixed-methods questionnaire was developed. Interviews were conducted via telephone or face-to-face utilising participatory action research principles. Qualitative data were de-identified and analysed following a reflexive thematic approach. RESULTS: The questionnaire was completed with 15 participants. The majority worked in the public health sector and agreed that smoking cessation could be used as a clinical tool across mental health services. However, nearly all of the participants reported being unfamiliar with the latest literature. Only one-third of participants reported having had received formal training in smoking cessation. Overwhelmingly, more training was reported as necessary and welcomed by participants. CONCLUSION: Our study has identified gaps in psychiatrists' and psychiatry registrars' knowledge and confidence regarding the promotion, initiation and oversight of smoking cessation strategies for patients. It's important that psychiatrists lead the way in re-framing and engaging with this issue, and consider smoking cessation as a tool that can improve mental health outcomes. A review of existing Australian policies, guidelines and training is recommended.

Metabolic screen and intervene: improving mental health inpatient metabolic monitoring.

OBJECTIVE: To assess rates of metabolic monitoring in patients prescribed antipsychotic medications in the psychiatric inpatient setting and the impact education can have regarding monitoring compliance. METHOD: Two identical audits were undertaken at a NSW mental health inpatient service before and after a campaign designed to educate mental health workers about the importance of metabolic monitoring. Results from both audits were compared for statistically significant improvements in monitoring rates. RESULTS: Rates of monitoring plasma lipids increased from 21.7% to 78.8% (p < 0.01) and rates for plasma glucose increased from 20.8% to 73.7% (p < 0.01). There were no statistically significant changes in rates of monitoring body mass index (83.0% and 77.1%, respectively), waist circumference (36.8% and 43.2%, respectively) and blood pressure (99.1% and 100%, respectively). CONCLUSION: This study has shown that rates of metabolic monitoring in the inpatient setting can be improved with a relatively low-cost education intervention. While absolute rates remain low, outcomes suggest that it may be worthwhile trialling further modes of education and repeating this education in cycles.

Development of the Ketamine Side Effect Tool (KSET).

BACKGROUND: Currently, no specific, systematic assessment tool for the monitoring and reporting of ketamine-related side effects exists. Our aim was to develop a comprehensive Ketamine Side Effect Tool (KSET) to capture acute and longer-term side effects associated with repeated ketamine treatments. METHODS: Informed by systematic review data and clinical research, we drafted a list of the most commonly reported side effects. Face and content validation were obtained via feedback from collaborators with expertise in psychiatry and anaesthetics, clinical trial piloting and a modified Delphi Technique involving ten international experts. RESULTS: The final version consisted of four forms that collect information at time points: screening, baseline, immediately after a single treatment, and longer-term follow-up. Instructions were developed to guide users and promote consistent utilisation. LIMITATIONS: Further evaluation of feasibility, construct validity and reliability is required, and is planned across multiple international sites. CONCLUSIONS: The structured Ketamine Side Effect Tool (KSET) was developed, with confirmation of content and face validity via a Delphi consensus process. This tool is timely, given the paucity of data regarding ketamine's safety, tolerability and abuse potential over the longer term, and its recent adoption internationally as a clinical treatment for depression. Although based on data from depression studies, the KSET has potential applicability for ketamine (or derivatives) used in other medical disorders, including chronic pain. We recommend its utilisation for both research and clinical scenarios, including data registries.

An immersive orientation programme to improve medical student integration and well-being.

BACKGROUND: Multiple common challenges exist for medical students transitioning to regional clinical placements, including a relative paucity of well-being skills required for the promotion of work-life integration. Beginning Education at Central Coast Hospitals (BEACCHES) is an immersive orientation programme aimed at negotiating this transition and promoting student well-being through improved social connectedness. The programme was evaluated with the objectives of understanding the most highly valued and effective components. METHOD: BEACCHES is offered to medical students commencing regional clinical placement at the Central Coast Medical School, Australia. The programme emphasises teamwork and self care, and promotes multidirectional interaction among peers, staff and the local community. A specific well-being forum is an essential component of the programme. An evaluation of the inaugural programme was performed using semi-structured surveys with a mixed-method analysis of quantitative data (pre- and post-programme knowledge and confidence scores) and qualitative data (emergent themes). RESULTS: Knowledge acquisition significantly improved across all domains. Importantly, this included items that could positively impact on well-being, including: knowledge of psychological first aid (p = 0.01), student support services (p < 0.01), connectedness with fellow students and staff (p < 0.01), and self-management of health and workload (p = 0.01). Qualitative analysis also revealed substantial support for the importance of interaction with peers and staff outside of the formal education setting. According to the Australian Medical Association, medical schools' responsibilities include incorporating curricula designed to improve stress management CONCLUSION: Our survey results indicated that BEACCHES has the potential to foster student well-being through targeted orientation and engagement to enhance connectedness. We highlight the value of embedding an interactive experiential programme for students beginning a new regional clinical placement.

A new paradigm for mental-health quality and safety: are we ready?

OBJECTIVE:: Development of a Mental Health Quality and Safety Framework with co-designed priority areas for improvement. METHOD:: A qualitative and inductive approach was utilised, including a literature search, consultations with staff and focus groups with consumers and carers. RESULTS:: Thematic analysis resulted in 32 categories, grouped into seven key themes. Combined with the evidence base, these were distilled into component parts of the Framework. CONCLUSIONS:: A change in strategy and culture is required, balancing a traditionally centralised top-down approach to health care governance and improvement, with a complementary localised bottom-up model that embeds improvement science principles involving frontline staff, consumers and carers. This Framework, that centres on patient safety and quality improvement, in combination with a corresponding cultural change, can enhance clinical outcomes, service efficiency, staff morale and staff retention rates.

Side-effects associated with ketamine use in depression: a systematic review.

This is the first systematic review of the safety of ketamine in the treatment of depression after single and repeated doses. We searched MEDLINE, PubMed, PsycINFO, and Cochrane Databases and identified 288 articles, 60 of which met the inclusion criteria. After acute dosing, psychiatric, psychotomimetic, cardiovascular, neurological, and other side-effects were more frequently reported after ketamine treatment than after placebo in patients with depresssion. Our findings suggest a selective reporting bias with limited assessment of long-term use and safety and after repeated dosing, despite these being reported in other patient groups exposed to ketamine (eg, those with chronic pain) and in recreational users. We recommend large-scale clinical trials that include multiple doses of ketamine and long-term follow up to assess the safety of long-term regular use.

Parasitic diseases of the central nervous system: lessons for clinicians and policy makers.

Parasitic diseases of the central nervous system are associated with high mortality and morbidity, especially in resource-limited settings. The burden of these diseases is amplified as survivors are often left with neurologic sequelae affecting mobility, sensory organs, and cognitive functions, as well as seizures/epilepsy. These diseases inflict suffering by causing lifelong disabilities, reducing economic productivity, and causing social stigma. The complexity of parasitic life cycles and geographic specificities, as well as overlapping clinical manifestations in the host reflecting the diverse pathogenesis of parasites, can present diagnostic challenges. We herein provide an overview of these parasitic diseases and summarize clinical aspects, diagnosis, therapeutic strategies and recent milestones, and aspects related to prevention and control.

Transcranial direct current stimulation influences probabilistic association learning in schizophrenia.

Schizophrenia is associated with heterogeneity in symptoms, cognition and treatment response. Probabilistic association learning, involving a gradual learning of cue-outcome associations, activates a frontal-striatal network in healthy adults. Studies of probabilistic association learning in schizophrenia have shown frontal-striatal dysfunction although considerable heterogeneity in performance has also been reported. Anodal transcranial direct current stimulation (tDCS) to the dorsolateral prefrontal cortex has been shown to improve probabilistic association learning in healthy adults. The aim of the current study was to determine the extent to which anodal tDCS to the left dorsolateral prefrontal cortex would reverse probabilistic association learning deficits in schizophrenia. Prior to tDCS, 20 people with schizophrenia performed an initial baseline assessment without stimulation. Anodal tDCS was administered continuously for 20 min at an intensity of 2.0 mA to the left dorsolateral prefrontal cortex in a single-blind, counterbalanced, sham-controlled, cross-over design while participants performed 150 trials of a probabilistic association learning test. Although anodal tDCS failed to improve probabilistic association learning based on the whole sample performance, greater variance in the active relative to the sham conditions suggested a subset of people may respond to treatment. Further correlation, regression and cluster analyses revealed differential effects of baseline performance on active tDCS and sham treatment and that there was a subset of people with schizophrenia who displayed improvement with tDCS suggesting that anodal tDCS to the dorsolateral prefrontal cortex may facilitate access to existing prefrontal cortex neural reserves in people with schizophrenia who show adequate capacity to learn at baseline.

Frontal and parietal contributions to probabilistic association learning.

Neuroimaging studies have shown both dorsolateral prefrontal (DLPFC) and inferior parietal cortex (iPARC) activation during probabilistic association learning. Whether these cortical brain regions are necessary for probabilistic association learning is presently unknown. Participants' ability to acquire probabilistic associations was assessed during disruptive 1 Hz repetitive transcranial magnetic stimulation (rTMS) of the left DLPFC, left iPARC, and sham using a crossover single-blind design. On subsequent sessions, performance improved relative to baseline except during DLPFC rTMS that disrupted the early acquisition beneficial effect of prior exposure. A second experiment examining rTMS effects on task-naive participants showed that neither DLPFC rTMS nor sham influenced naive acquisition of probabilistic associations. A third experiment examining consecutive administration of the probabilistic association learning test revealed early trial interference from previous exposure to different probability schedules. These experiments, showing disrupted acquisition of probabilistic associations by rTMS only during subsequent sessions with an intervening night's sleep, suggest that the DLPFC may facilitate early access to learned strategies or prior task-related memories via consolidation. Although neuroimaging studies implicate DLPFC and iPARC in probabilistic association learning, the present findings suggest that early acquisition of the probabilistic cue-outcome associations in task-naive participants is not dependent on either region.