Background: Depression alongside multiple long-term conditions (MLTCs) in older adults poses a critical public health challenge, worsening physical and mental health and increasing healthcare costs. COVID-19 restrictions further exacerbated these impacts. Behavioural activation (BA) shows promise as a remote intervention for depression during isolation, but its cost-effectiveness for depressed, socially isolated older adults remains uncertain.
View Article and Find Full Text PDFBackground: Autistic children can experience mental health, social and emotional difficulties. Carol Gray's Social Stories™ are a highly personalised intervention that provide social information in a short individually tailored story.
Methods: A multi-site pragmatic cluster randomised controlled trial to evaluate the clinical and cost-effectiveness of Social Stories™ alongside care as usual in autistic children aged 4-11 years.
Background: Differences in the way autistic children experience the world can contribute to anxiety and stress. Carol Gray's Social Stories™ are a highly personalised intervention to support children by providing social information about specific situations in an individual story.
Objectives: This randomised controlled trial aimed to establish whether Social Stories are clinically effective and cost-effective in improving social responsiveness and social and emotional health in children on the autism spectrum in schools.
Background: One in 57 children are diagnosed with autism in the UK, and the estimated cost for supporting these children in education is substantial. Social Stories™ is a promising and widely used intervention for supporting children with autism in schools and families. It is believed that Social Stories™ can provide meaningful social information to children that can improve social understanding and may reduce anxiety.
View Article and Find Full Text PDFBackground: Older adults were more likely to be socially isolated during the COVID-19 pandemic, with increased risk of depression and loneliness. We aimed to investigate whether a behavioural activation intervention delivered via telephone could mitigate depression and loneliness in at-risk older people during the COVID-19 pandemic.
Methods: BASIL+ (Behavioural Activation in Social Isolation) was a pragmatic randomised controlled trial conducted among patients recruited from general practices in England and Wales, and was designed to assess the effectiveness of behavioural activation in mitigating depression and loneliness among older people during the COVID-19 pandemic.
Background: Social skills interventions are commonly recommended to help children and young people with autism spectrum disorder develop social skills, but some struggle to engage in these interventions. LEGO (LEGO System A/S, Billund, Denmark) based therapy, a group social skills intervention, aims to be more interesting and engaging.
Objective: To evaluate the clinical effectiveness of LEGO based therapy on the social and emotional skills of children and young people with autism spectrum disorder in school settings compared with usual support.
Autism is characterised by keen interests and differences in social interactions and communication. Activities that help autistic children and young people with social skills are commonly used in UK schools. LEGO based therapy is a new activity that provides interesting and fun social opportunities for children and young people and involves building LEGO models together.
View Article and Find Full Text PDFBackground: Up to 10% of children and young people have a specific phobia that can significantly affect their mental health, development and daily functioning. Cognitive-behavioural therapy-based interventions remain the dominant treatment, but limitations to their provision warrant investigation into low-intensity alternatives. One-session treatment is one such alternative that shares cognitive-behavioural therapy principles but has a shorter treatment period.
View Article and Find Full Text PDFBackground: 5%-10% children and young people (CYP) experience specific phobias that impact daily functioning. Cognitive Behaviour Therapy (CBT) is recommended but has limitations. One Session Treatment (OST), a briefer alternative incorporating CBT principles, has demonstrated efficacy.
View Article and Find Full Text PDFBackground: Approximately 60 000 people in England have coexisting type 2 diabetes mellitus (T2DM) and severe mental illness (SMI). They are more likely to have poorer health outcomes and require more complex care pathways compared with those with T2DM alone. Despite increasing prevalence, little is known about the healthcare resource use and costs for people with both conditions.
View Article and Find Full Text PDFObjectives: To assess the cost-effectiveness of LEGO-based therapy compared with usual support.
Design: Cost-utility analysis alongside randomised control trial.
Setting: Mainstream primary and secondary schools in the UK.
Background: The response of populations to public health measures may rely on the degree to which the population trusts sources of information and institutions. There has been little research in this area in the Caribbean. This exploratory study aimed to evaluate public trust in information sources, confidence in institutions and COVID-19 vaccine willingness in Trinidad and Tobago.
View Article and Find Full Text PDFObjectives: People with mental disorders are more likely to smoke than the general population. The objective of this study is to develop a decision analytical model that estimates long-term cost-effectiveness of smoking cessation interventions in this population.
Methods: A series of Markov models were constructed to estimate average lifetime smoking-attributable inpatient cost and expected quality-adjusted life-years.
Background: Exposure to second-hand smoke from tobacco is a major contributor to global morbidity and mortality. We aimed to evaluate the efficacy and cost-effectiveness of a community-based smoke-free-home intervention, with or without indoor-air-quality feedback, in reducing second-hand-smoke exposure in homes in Bangladesh.
Methods: We did a three-arm, cluster-randomised, controlled trial in Dhaka, Bangladesh, and randomly assigned (1:1:1) mosques and consenting households from their congregations to a smoke-free-home intervention plus indoor-air-quality feedback, smoke-free-home intervention only, or usual services.
Background: People with severe mental illnesses (SMIs) have reduced life expectancy compared with the general population. Diabetes is a contributor to this disparity, with higher prevalence and poorer outcomes in people with SMI.
Aim: To determine the impact of SMI on healthcare processes and outcomes for people with type 2 diabetes (T2DM).
Objectives: To use real-world data to develop a flexible generic decision model to predict cost, life expectancy, and quality-adjusted life-years (QALYs) for follicular lymphoma (FL) in the general patient population.
Methods: All patients newly diagnosed with FL in the UK's population-based Haematological Malignancy Research Network (www.hmrn.
Pediatr Neonatol
December 2017
Background: Acute acalculous cholecystitis (AAC) is generally considered to be a mild disease in children; however, if left untreated or treated without caution, AAC can lead to severe outcomes, such as death. The objectives of this study were to present the clinical features and identify the predictors of mortality in pediatric AAC.
Methods: Patients diagnosed with AAC between 2005 and 2012 were enrolled.
Background: Diffuse large B-cell lymphoma (DLBCL) is the commonest non-Hodgkin lymphoma. Previous studies examining the cost of treating DLBCL have generally focused on a specific first-line therapy alone; meaning that their findings can neither be extrapolated to the general patient population nor to other points along the treatment pathway. Based on empirical data from a representative population-based patient cohort, the objective of this study was to develop a simulation model that could predict costs and life expectancy of treating DLBCL.
View Article and Find Full Text PDFBackground: Acute myeloid leukemia (AML) can be diagnosed at any age and treatment, which can be given with supportive and/or curative intent, is considered expensive compared with that for other cancers. Despite this, no long-term predictive models have been developed for AML, mainly because of the complexities associated with this disease.
Objective: The objective of the current study was to develop a model (based on a UK cohort) to predict cost and life expectancy at a population level.