Health literacy demands placed on patients and consumers are amplified in low-value care contexts and must be addressed as a system and organisational priority, argue Danielle Muscat and colleagues . ...

Healthcare delivery is being transformed by the rapid growth of data, advancements in artificial intelligence (AI) and other technologies. In healthcare, obtaining real-world data can be ...

Overdiagnosis has been described as ‘unwarranted diagnosis’ (Moynihan et al, 2018). It is the formulation and conveyance of a label –generally of a disease or condition - that can lead to patient harm ...

Qualitative research has an important place within evidence-based health care (EBHC), contributing to policy on patient safety and quality of care, supporting understanding of the impact of chronic ...

Changing disease or health risk definitions and labels where there is a case for no or little net benefit and significant harm, has the potential to affect millions of people worldwide. It appears, on ...

After conducting a database search, the subsequent phase in the execution of systematic reviews (SRs) involves title and abstract screening.1 This stage bears significant importance and necessitates ...

Objective This study evaluates whether Taiwan’s national oral cancer screening programme, implemented in 1999, has led to a ...

In 20 years of researching and teaching health risk communication methods, the most common question we get is: how should I communicate this [adverse event risk, survival probability, etc.] so that ...

Existing reporting checklists lack the specificity and comprehensiveness required to effectively guide the documentation of acupuncture case reports. Therefore, we developed a reporting guideline ...

Background Musculoskeletal knee pain is a large and costly problem, and meniscal tears make up a large proportion of diagnoses. ‘Special tests’ to diagnose torn menisci are often used in the physical ...

Introduction The concepts of evidence-based medicine are evolving as limitations of early models are addressed. In this editorial, we present a new model for evidence-based clinical decision making ...