It is with great interest we have read the article "Overdiagnosis: one concept, three perspectives, and a model" by Hofmann and colleagues. We share the authors' ambition of understanding what overdiagnosis is and what it isn't. In our research, we define overdiagnosis on the basis of two interrelated phenomena: overdetection and overdefinition. Overdetection is the labelling of a person with a disease or abnormal condition, that would not have caused the person harm, e.g., symptoms or death, if left undiscovered. Overdefinition is the creation of new diagnoses by overmedicalising ordinary life experiences or expanding existing diagnoses by lowering thresholds or widening diagnostic criteria, without evidence of improved outcomes. These phenomena have different causes and thereby often different drivers. However, they have one important consequence in common: people are turned into patients unnecessarily, i.e., overdiagnosed. On a personal level, overdiagnosis cause various types of harms, including physical, psychological, social and financial harm. On a societal level, overdiagnosis may also cause harm to public health, cause resource waste, and cultural changes with overmedicalisation of normal life events. By definition, none of the aforementioned phenomena lead to any clinical benefit. Therefore, we disagree with Hofmann and colleagues' definition of overdiagnosis as diagnoses that "…on balance, do more harm than good.". We argue that introducing balance and benefits to the definition of overdiagnosis complicates the concept unnecessarily and cause problems operationalising overdiagnosis.
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http://dx.doi.org/10.1007/s10654-021-00773-1 | DOI Listing |
BMJ Open
December 2024
University of St Gallen, St Gallen, Switzerland.
Introduction: Metabolic disorders (type 2 diabetes, insulin resistance, hyperglycaemia, obesity, hyperlipidaemia, hypertension, non-alcoholic fatty liver disease and metabolic syndrome) are leading causes of mortality and disability worldwide. These disorders disproportionately affect older adults relative to those younger. Digital health technologies (DHTs), such as patient monitoring, digital diagnostics and digital therapeutics, emerge as promising tools for health promotion in day-to-day life.
View Article and Find Full Text PDFBMJ Open
December 2024
Centre for Applied Health Economics, Griffith University, Brisbane, Queensland, Australia.
Objectives: Efficient performance evaluation is essential for driving improvement, ensuring accountability and optimisation of outcomes in healthcare delivery. However, its complexity often leads to ineffective implementation. This article aims to advance the field of performance measurement within alternative healthcare delivery models of care through the development and validation of a comprehensive evaluation framework.
View Article and Find Full Text PDFBMJ Support Palliat Care
December 2024
Health Research Institute, School of Design, and Confirm Smart Manufacturing Centre, University of Limerick, Limerick, Ireland
Background: Three-dimensional printing (3DP) enables the production of highly customised, cost-efficient devices in a relatively short time, which can be particularly valuable to clinicians treating patients with palliative care intent who are in need of timely and effective solutions in the management of their patients' specific needs, including the relief of distressing symptoms.
Method: Four online databases were searched for articles published by December 2020 that described studies using 3DP in palliative care. The fields of application, and the relevant clinical and technological data were extracted and analysed.
Syst Rev
January 2025
Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Background: Scientific papers increasingly put forward scientific-based policy recommendations (SPRs) as a means of closing the circle of science, policy and practice. Assessing the quality of such SPRs is crucial, especially within the context of a systematic review. Here, we present ECR-P (Evidence Communication Rules for Policy)-a critical appraisal tool that we have developed, which can be used in assessing not only the quality of SPRs but also the quality of their evidence base and how effectively these have both been communicated.
View Article and Find Full Text PDFBMC Med Ethics
January 2025
The Kirby Institute, UNSW Sydney, Sydney, Australia.
Background: The World Professional Association for Transgender Health guidelines Standards of Care 8 draw on ethical arguments based on individual autonomy, to argue that healthcare and other professionals should be advocates for trans people. Such guidelines presume the presence of medical services for trans people and a degree of consensus on medical ethics. Very little is known, however, about the ethical challenges associated with both providing and accessing trans healthcare, including gender affirmation, in the Global South.
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