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This study aims to examine the scope and contribution of Forensic Clinical Psychology (FCP) advice from the National Crime Agency (NCA) to criminal investigations in the UK to address the gap in current knowledge and research.

The 36 FCP reports reviewed were written between 2017 and 2021. They were analysed using Toulmin’s (1958) application of pertinent arguments to the evaluation process. The potential utility of the reports was analysed in terms of the advice provided.

Most of the reports involved murder and equivocal death. The reports focused primarily on understanding the offender’s psychopathology, actions, motivation and risk to self and others using a practitioner model of case study methodology. Out of the 539 claims, grounds were provided for 99% of the claims, 91% had designated modality, 62% of the claims were potentially verifiable and 57% of the claims were supported by a warrant and/or backing. Most of the reports provided either moderate or high insight into the offence/offender (92%) and potential for new leads (64%).

The advice provided relied heavily on extensive forensic clinical and investigative experience of offenders, guided by theory and research and was often performed under considerable time pressure. Flexibility, impartiality, rigour and resilience are essential prerequisites for this type of work.

To the best of the authors’ knowledge, this study is the first to systematically evaluate forensic clinical psychology reports from the NCA. It shows the pragmatic, dynamic and varied nature of FCP contributions to investigations and its potential utility.

Patients with autism spectrum disorder (ASD) present with specific assessment, specific difficulties, needs and therapeutic issues and therefore are a challenging group for forensic services. Given the challenge that individuals with ASD present to forensic services, the suggested increase in the number of this group within this setting and the relatively little amount of research which suggests they face a number of difficulties within the prison environment, the purpose of this paper is to identify and review all the studies which have been carried out investigating any aspect of ASD in relation to secure hospital settings.

Seven internet-based bibliographic databases were used for the present review. The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.

A total of 12 studies were included in this review; 3 looked at the prevalence of ASD in secure psychiatric hospitals. One study evaluated the clinical utility of the AQ screening tool to assess self-reported autistic traits in secure psychiatric settings. Three explored any type of characteristics of patients with ASD detained in secure psychiatric hospitals. One study investigated the experiences or quality of life of patients with an ASD detained in secure psychiatric care. Two studies investigated awareness, knowledge and/or views regarding patients with ASD held by staff working within secure psychiatric hospitals. Lastly, three studies (one of which was also included in the prevalence category above) looked at the effectiveness of interventions or treatment of patients with ASD in secure psychiatric hospitals. Clinical recommendations and future research directions are discussed.

To the author’s knowledge, this is the first review to explore what research has been carried out looking specifically at patients with ASD in relation to secure forensic settings.

The study explores how Taiwan’s electronic health data systems can be used to build algorithms that reduce or eliminate medical errors and to advance precision medicine.

This study is a narrative review of the literature.

The body of medical knowledge has grown far too large for human clinicians to parse. In theory, electronic health records could augment clinical decision-making with electronic clinical decision support systems (CDSSs). However, computer scientists and clinicians have made remarkably little progress in building CDSSs, because health data tend to be siloed across many different systems that are not interoperable and cannot be linked using common identifiers. As a result, medicine in the USA is often practiced inconsistently with poor adherence to the best preventive and clinical practices. Poor information technology infrastructure contributes to medical errors and waste, resulting in suboptimal care and tens of thousands of premature deaths every year. Taiwan’s national health system, in contrast, is underpinned by a coordinated system of electronic data systems but remains underutilized. In this paper, the authors present a theoretical path toward developing artificial intelligence (AI)-driven CDSS systems using Taiwan’s National Health Insurance Research Database. Such a system could in theory not only optimize care and prevent clinical errors but also empower patients to track their progress in achieving their personal health goals.

While research teams have previously built AI systems with limited applications, this study provides a framework for building global AI-based CDSS systems using one of the world’s few unified electronic health data systems.

As occupational therapists embrace evidence-informed and occupation-centred practice, the use of standardised visual perceptual tests remains a strong feature of typical paediatric practice. Yet, the research evidence for the use of such tools is inconclusive at best. This study compared the results of the Test of Visual Perceptual Skills (TVPS) with a checklist of reported functional difficulties in 30 children attending occupational therapy. The purpose of this paper was to determine the usefulness of visual perceptual testing in relation to occupation-centred practice.

A descriptive correlational study design was used. Participants were 30 primary school-age children who were on a paediatric occupational therapy caseload. An additional 30 typically developing children participated in the development of the checklist.

Correlations were found between reported functional visual skill difficulties and two subtests of the TVPS (visual memory and visual discrimination). No correlation was found between the reported functional difficulties and any of the other five subtests of the TVPS or the total score.

Results highlight the weak relationship that existed in this study between standardised measures of visual perception, as measured by the TVPS, and functional difficulties. Therapists are cautioned to explore both the evidence base for continued use of standardised visual perceptual measures to inform occupation-centred practice and the need to embrace a more comprehensive person-centred approach to visual perceptual assessment.

Personalized medicine (PM) encompasses a set of procedures, technologies and medications; the term became more prominent from the 2000s onwards and stems from the mapping of the human genome. The purposes of this study were to analyse the development stage of the process of technological innovation for PM and the obstacles that prevent PM from being adopted in the public health system in Brazil.

As a research method, this paper opts for a case study carried out at the Hospital das Clínicas, which belongs to São Paulo Medical School. In total, 22 in-depth interviews were carried out at the hospital to identify current practices in PM, future prospects and barriers imposed to the adoption of PM technologies in public health.

Personalized or precision medicine is already a reality for a small portion of the Brazilian population and is gradually gaining ground in public health care. One finding is that such changes are occurring in a disjointed manner in an incomplete and under development health innovation system. The analysis pointed out that the obstacles identified in Brazil are the same as those faced by high-income countries such as regulation, lack of clinical studies and need to adapt clinical studies to PM. They appear in all stages of the innovation cycle, from research to widespread use.

The research method was a case study, so the findings cannot be extrapolated to other contexts. A limited number of professionals were interviewed, their opinions may not reflect those of their organizations.

There are several studies that discuss how health-care systems in high-income countries could incorporate these new technologies, but only a few focuses on low or middle-income countries such as Brazil.

Sleep disturbance is a common difficulty in the general population. It has become particularly prevalent in the context of disruption to routine brought about by the COVID-19 pandemic. The purpose of this study was to trial a patient-guided “sleep workbook” intervention, which was developed by multidisciplinary team members, combining principles of sleep hygiene education and cognitive behavioural therapy for insomnia behavioural strategies, and to evaluate its efficacy in a mixed-methods study.

Service users of the community mental health service were invited to participate. A total of 30 service users agreed to participate. A total of 15 participants completed both the intervention and the mixed-methods survey. Four participated in the focus group. Descriptive and inferential statistics were performed on the collected quantitative data. A thematic analysis was carried out of qualitative survey responses and focus group discourse.

There was a statistically and clinically significant improvement in quantity and quality of sleep following intervention. Mean hours of sleep prior to the intervention was 4.4 hours [standard deviation (SD) = 2.2], compared to 6.1 hours (SD = 2.2) afterwards (p = 0.003). Quality of sleep improved from a mean of 2.5 (SD = 2.1) to 6.1 (SD = 2.3) following the intervention (p = <0.001). Four themes were developed using the qualitative data: “under-recognition of sleep difficulties”, “ruminations”, “practical utility” and “therapeutic autonomy”.

There is a growing need for occupational therapists and clinicians to provide interventions for patients with sleep difficulties and to develop sleep management practice. This patient-guided sleep workbook may be an effective intervention for these patients.

Discharge planning home visits (DPHVs) are a routine part of occupational therapy clinical practice. However, there is a dearth of evidence to support or refute their efficacy and limited policies or standards to guide clinical practice. This study aims to investigate current clinical practice during home visits and the value that occupational therapists’ attribute to home visits within an Irish context.

Data collection was carried out by using a survey questionnaire (postal and electronic options). The study population comprised occupational therapists across 52 sites including acute, rehabilitation and convalescence settings within the Republic of Ireland. In total, 122 occupational therapists that completed the survey questionnaire were recruited for the study.

Quantitative data identified time spent per visit, departmental size, hospital size, number of visits and report writing times. Information was gathered regarding clinical areas assessed during visits in a Likert scale format. Qualitative data identified benefits, risks, recommendations to improve home visit practice and clinical criteria for home visits. Findings conclude that DPHVs are routinely carried out by occupational therapists and that there is consistency in clinical practice within an Irish setting. Occupational therapists value home visits as clinical assessments and have identified risks during practice, benefits of visits and ways to improve practice.

This study has provided a reflection of clinical practice in the Republic of Ireland. It is the only study of its kind in an Irish setting, and it could be used as a knowledge base regarding current practice on DPHV and occupational therapists’ clinical reasoning regarding home visits. The information gathered in this study could influence policies regarding DPHV and could serve as a comparison to standardise practice and justify the need for DPHV.

Noninvasive brain stimulation (NIBS) such a transcranial magnetic stimulation, intermittent theta burst stimulation, transcranial direct current stimulation and electroconvulsive therapy have emerged as an efficacious and well-tolerated therapy for treatment-resistant psychiatric disorders. While novel NIBS techniques are an exciting addition to the current repertoire of neuropsychiatric therapies, their success is somewhat limited by the wide range of treatment responses seen among treated patients.

In this study, the authors will review the studies on relevant genetic polymorphisms and discuss the role of RNA genotyping in personalizing NIBS.

Genome studies have revealed several genetic polymorphisms that may contribute for the heterogeneity of treatment response to NIBS where the presence of certain single nucleotide polymorphisms (SNPs) are associated with responders versus nonresponders.

Historically, mental illnesses have been arguably some of the most challenging disorders to study and to treat because of the degree of biological variability across affected individuals, the role of genetic and epigenetic modifications, the diversity of clinical symptomatology and presentations and the interplay with environmental factors. In lieu of these challenges, there has been a push for personalized medicine in psychiatry that aims to optimize treatment response based on one’s unique characteristics.

This study aimed to assess the potential of the Clinical Dementia Rating (CDR) Scale in the prognosis of dementia in elderly subjects.

Dementia staging severity is clinically an essential task, so the authors used machine learning (ML) on the magnetic resonance imaging (MRI) features to locate and study the impact of various MR readings onto the classification of demented and nondemented patients. The authors used cross-sectional MRI data in this study. The designed ML approach established the role of CDR in the prognosis of inflicted and normal patients. Moreover, the pattern analysis indicated CDR as a strong cohort amongst the various attributes, with CDR to have a significant value of p < 0.01. The authors employed 20 ML classifiers.

The mean prediction accuracy varied with the various ML classifier used, with the bagging classifier (random forest as a base estimator) achieving the highest (93.67%). A series of ML analyses demonstrated that the model including the CDR score had better prediction accuracy and other related performance metrics.

The results suggest that the CDR score, a simple clinical measure, can be used in real community settings. It can be used to predict dementia progression with ML modeling.

Subjective measurements of cognition have seldom been used in schizophrenia. This is mainly due to the assumption that such measurements lack sensitivity in a disorder characterized by poor insight. We investigated the capacity of BRIEF-A (Behavior Rating Inventory of Executive Function - Adult Version: a self-administered, ecological questionnaire) to identify executive deficits in adults with schizophrenia. The global score and each domain-specific score was significantly lower in patients than in healthy controls. BRIEF-A could be a useful complement to objective measurements, providing a subjective assessment of everyday consequences of executive dysfunction in patients with schizophrenia.