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The global rise in the population aged over 65 has led to a corresponding increase in cognitive impairment diagnoses, with dementia as a predominant condition characterised by diverse aetiopathogenetic profiles. Behavioural and psychological symptoms of dementia (BPSD) encompass a range of psychiatric, behavioural and cognitive symptoms associated with cognitive impairment. BPSD significantly affects patients, caregivers and healthcare providers, often necessitating interventions like sedatives or physical restraints that may worsen patient outcomes. Emerging evidence underscores the need for innovative, non-pharmacological interventions to manage BPSD effectively.
The current study intends to investigate the feasibility and acceptability of customised, immersive virtual reality environments (iVRe) to reduce responsive behaviours among individuals with dementia. Building on prior findings demonstrating virtual reality (VR) potential in reducing anxiety and fostering positive emotional states, this pilot study assesses the feasibility, safety and user engagement of customised iVRe interventions.
A longitudinal, mixed-methods design will be employed, enrolling 20 elderly participants with varying levels of cognitive impairment from the APSP ‘Margherita Grazioli’ long-term care facility in Trento. Participants undergo three VR exposure sessions featuring tailored environments adjusted in real-time for visual and auditory preferences. Data collection integrates standardised self-report questionnaires, observational tools and clinical records. Measures include the Functional Assessment Staging Tool, Neuropsychiatric Inventory and Cohen-Mansfield Agitation Inventory, as well as tools assessing pain, anxiety and emotional states before, during and after VR sessions.
The study protocol has been approved by the Comitato Etico Territoriale della Provincia Autonoma di Trento per le Sperimentazioni Cliniche, Azienda Provinciale per i Servizi Sanitari—Trento, Italy (Rep. Int. 12090, 15 May 2025). All participants or their legal representatives will provide written informed consent prior to enrolment. Deidentified data will be securely stored on institutional servers at the Fondazione Bruno Kessler and the APSP ‘Margherita Grazioli’, curated in compliance with the General Data Protection Regulation, and retained for 3 years after study completion. Any data shared externally will be provided in fully anonymised form, and only for scientific purposes, subject to prior ethical and legal approval. Study findings will be disseminated through peer-reviewed publications, conference presentations and executive summaries shared with participating institutions and stakeholders.
by Kazuya Takahashi, Michalina Lubiatowska, Huma Shehwana, James K. Ruffle, John A. Williams, Animesh Acharjee, Shuji Terai, Georgios V. Gkoutos, Humayoon Satti, Qasim Aziz
BackgroundThe exact mechanisms underlying paediatric abdominal pain (AP) remain unclear due to patient heterogeneity. This preliminary study aimed to identify AP phenotypes and develop predictive models to explore associated factors, with the goal of guiding future research.
MethodsIn 13,790 children from a large birth cohort, data on paediatric and maternal demographics and comorbidities were extracted from general practitioner records. Machine learning (ML) clustering was used to identify distinct AP phenotypes, and an ML-based predictive model was developed using demographics and clinical features.
Results1,274 children experienced AP (9.2%) (average age: 8.4 ± 1.1 years, male/female: 615/659), who clustered into three distinct phenotypes: Phenotype 1 with an allergic predisposition (n = 137), Phenotype 2 with maternal comorbidities (n = 676), and Phenotype 3 with minimal other comorbidities (n = 340). As the number of allergic diseases or maternal comorbidities increased, so did the frequency of AP, with 17.6% of children with ≥ 3 allergic diseases and 25.6% of children with ≥ 3 maternal comorbidities. The predictive model demonstrated moderate performance in predicting paediatric AP (AUC 0.67), showing that a child’s ethnicity, paediatric allergic diseases, and maternal comorbidities were key predictive factors. When stratified by ML-predicted probability, observed AP rates were 18.9% in the 60% group.
ConclusionsThis study identified distinct AP phenotypes and key risk factors using ML. Furthermore, the predictive ML model enabled risk stratification for paediatric AP. These analyses provide valuable insights to guide future investigations into the mechanisms of AP and may facilitate research aimed at identifying targeted interventions to improve patient outcomes.
This study aimed to examine the psychosocial impact and identify risk factors for poor psychosocial outcomes in healthcare professionals during the Coronavirus disease 2019 (COVID-19) pandemic in Cyprus.
Healthcare professionals are in the forefront of the COVID-19 pandemic facing an unprecedented global health crisis, which can have consequences on their psychosocial health. There is a need to identify risk factors for poor psychosocial outcomes to inform the design of tailored psychological interventions.
Cross-sectional online study.
A total of 1071 healthcare professionals completed self-report questionnaires. Measures included sociodemographic information, COVID-19-related characteristics, quality of life (Brief World Health Organization Quality of Life; WHOQOL-Bref), anxiety (Generalized Anxiety Disorder-7; GAD-7), depression (Patient Health Questionnaire-8; PHQ-8), occupational burnout (Copenhagen Burnout Inventory; CBI), and coping (Brief Coping Orientation to Problems Experienced; Brief COPE). This article follows the STROBE reporting guidelines.
The prevalence of moderate to severe anxiety and clinically significant depression was 27.6% and 26.8%, respectively. Significant risk factors for poor psychological outcomes included being female, being a nurse or doctor (vs non-medical professional), working in frontline units (inpatient, intensive care), perceptions of inadequate workplace preparation to deal with the pandemic, and using avoidance coping. Depression and occupational burnout were significant risk factors for poor quality of life.
The findings suggest several individual, psychosocial, and organisational risk factors for the adverse psychological outcomes observed in healthcare professionals during the COVID-19 pandemic.
This study highlights the urgent need for screening for anxiety and depression and psychological interventions to combat an imminent mental health crisis in healthcare professionals during the COVID-19 pandemic. Pandemic response protocols and public health initiatives aiming to improve and prevent mental health problems in healthcare professionals during the current and future health crises, need to account for the various factors at play.
As care needs increase in complexity, a shift to people-centred, integrated care is required to meet the full range of health and social care needs of clients. However, limited opportunities exist for care providers to develop interprofessional competencies as part of pre-licensing and/or continuing education. New learning models, such as case-based learning (CBL), that facilitate the development of interprofessional competencies and are aligned with practice realities of providers are needed. This scoping review will collate and codify leading practices and knowledge gaps in the development and delivery of CBL programmes in pre-licensing and continuing education for health and social care providers.
A scoping review will be conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. MEDLINE, CINAHL Plus, Scopus, ERIC Institute of Education Sciences, PsycINFO and Education Source will be searched for peer-reviewed literature; Google Scholar, ProQuest Dissertations and Web of Science will be searched for grey literature. Reference lists of full-text scholarly sources, key journals and authors will be searched manually. Study selection and extraction will be conducted by two independent reviewers. English sources published between 2014 and 2024 that discuss CBL epistemologies, characteristics, delivery mechanisms, programme limitations and/or programme evaluation in health and social care pre-licensing and/or professional training will be included. Data will be analysed using directed content analysis and synthesised as a narrative summary.
This scoping review protocol was reviewed by the Southlake Health Research Ethics Board and received ethics exemption. Findings will be disseminated through peer-reviewed publication, conferences, professional networks and social media, and used to inform the development of an evidence-based training programme for health and social care providers.
Open Science Framework https://doi.org/10.17605/OSF.IO/6YXHN
Alzheimer’s disease and related dementias (ADRD) are conditions with progressive cognitive decline. Still, people living with late-stage ADRD (PLWD) have been reported to exhibit transient recovery of communication or behavioural abilities that had seemingly been lost. These lucid episodes (LEs) are underinvestigated and poorly understood. This study aims to advance scientific understanding of the incidence, prevalence and predictors of LEs and assess from family caregivers if LEs are associated with changes they make in care planning or experiences with burden, distress or grief.
This study recruited 545 caregivers from five ADRD-related registries in the USA. Eligibility included caregivers over 18 years who currently provide care to someone with moderate to very severe ADRD and can complete online questionnaires. Using a longitudinal observational study design, consented caregivers will be assessed monthly for 1 year using online questionnaires that inquire about witnessing LEs. If witnessed, the context and content of the LE is reported. Changes in caregiver decision-making about care for the PLWD, and caregiver burden, distress and grief are assessed at baseline, 6 and 12 months.
Analysis of baseline data will assess descriptive aspects of LEs that are currently unknown (eg, prevalence, content, antecedents, duration). Longitudinal analysis will examine the incidence of LEs, characteristics of PLWD and caregivers that are predictors of episodes, and the associations between LEs and caregiver outcomes (eg, burden, distress, grief).
This study is being conducted in accordance with all Federal Policies for the Protection of Human Subjects. The protocol has been approved by the Mayo Clinic Institutional Review Board (ID 22-006861). Findings will be presented at scientific conferences and disseminated through journal publications and outreach efforts with collaborating partners invested in brain health and caregiver support.
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