Introduction Adolescent idiopathic scoliosis (AIS) often imposes a significant psychological burden on teenagers. Cognitive and behavioural strategies have demonstrated the potential to alleviate ...

Objectives The association between smoking and patients with schizophrenia has been established through epidemiological ...

Objectives Smoking is a well-established risk factor that exacerbates multiple sclerosis (MS) progression and increases disease activity. Smoking cessation promotion practices of MS clinicians are not ...

Objectives Cardiac amyloidosis (CA) is a rare and underdiagnosed disease associated with a high mortality rate. Although, in the last decade, there has been increasing attention in the literature to ...

Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...

Introduction Major depressive disorder (MDD) is a major global healthcare challenge. This is, in part, due to the lack of treatment response and chronic course of MDD. Such a course of illness is ...

Introduction Diarrhoea is a common problem in people living with HIV. Some trials have demonstrated the effectiveness of zinc supplementation in the prevention and treatment of diarrhoea; however, ...

Objective During the COVID-19 pandemic, many clinical trials were conducted to identify effective COVID-19 therapeutics. However, while a large amount of resources was invested and significant numbers ...

Objective Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice. Design The SCI was ...

Objectives To (1) provide an up-to-date overview of shared decision making (SDM)-models, (2) give insight in the prominence of components present in SDM-models, (3) describe who is identified as ...

Objective Though vaccination coverage in Ethiopia has shown steady progress over the years, there are districts with below targeted vaccination coverage. This study assessed the magnitude and ...

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...