Overuse of health care refers to tests, treatments, and even health care settings when used in circumstances where they are unlikely to help. Overuse is not only wasteful, it threatens patient safety by exposing patients to a greater chance of harm than benefit. It is a widespread problem and has proved resistant to change. Overuse of diagnostic testing is a particular problem in emergency medicine. Emergency physicians cite fear of missing a diagnosis, fear of law suits, and perceived patient expectations as key contributors. However, physicians' assumptions about what patients expect are often wrong, and overlook two of patients' most consistently voiced priorities: communication and empathy. Evidence indicates that patients who are more fully informed and engaged in their care often opt for less aggressive approaches. Shared decision making refers to (1) providing balanced information so that patients understand their options and the trade-offs involved, (2) encouraging them to voice their preferences and values, and (3) engaging them-to the extent appropriate or desired-in decision making. By adopting this approach to discretionary decision making, physicians are better positioned to address patients' concerns without the use of tests and treatments patients neither need nor value.
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http://dx.doi.org/10.15441/ceem.17.233 | DOI Listing |
Quant Plant Biol
November 2024
Department of Forest Genetics and Plant Physiology, The Swedish University of Agricultural Sciences, Umeå Plant Science Center, Umeå, Sweden.
Noise is a ubiquitous feature for all organisms growing in nature. Noise (defined here as stochastic variation) in the availability of nutrients, water and light profoundly impacts their growth and development. Not only is noise present as an external factor but cellular processes themselves are noisy.
View Article and Find Full Text PDFGerms
September 2024
MD, FESPCH, Prof., General Practitioner, Röntgenstr. 2 82152 Martinsried, Germany.
High quality research is critical for evidence-based decision making in public health and fundamental to maintain progress and trust in immunization programs in Europe. In 2024 the European Centre for Disease Prevention and Control (ECDC) conducted an update of the 2020 systematic review to capture more recent evidence on of the efficacy, effectiveness of influenza vaccines in individuals aged 18 years and older in the prevention of laboratory-confirmed influenza. While this report was highly anticipated due to the strength of the protocol and processes put in place, during our assessment, we expressed two chief concerns.
View Article and Find Full Text PDFJ Gen Fam Med
January 2025
Department of Pediatrics Tsugaruhoken Medical COOP Kensei Hospital Hirosaki Aomori Japan.
Background: Studies on the accuracy of point-of-care (POC) testing using capillary samples are scarce. Therefore, this study aimed to assess the analytical accuracy of POC testing for white blood cell (WBC) and C-reactive protein (CRP) using capillary samples compared with conventional central laboratory testing using venous samples in a pediatric ambulatory care setting.
Methods: This was a retrospective study including patients younger than 18 years who underwent concurrent WBC and CRP evaluations via capillary and subsequent venous sampling within a 2-h window.
J Gen Fam Med
January 2025
Background: Deprescribing is a critical component of clinical practice, especially in geriatric medicine. Nevertheless, the attributes of patients who are prepared for, interested in, and could potentially benefit from deprescribing have not been well examined. The Patient Perceptions of Deprescribing (PPoD) evaluates patients' overall readiness for deprescribing and is complemented by an 11-item validated short form (SF-PPoD).
View Article and Find Full Text PDFEur Heart J Imaging Methods Pract
October 2024
Cardiologia 1-Emodinamica, Dipartimento Cardiotoracovascolare 'A. De Gasperis', ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy.
Artificial intelligence (AI) is transforming cardiovascular imaging by offering advancements across multiple modalities, including echocardiography, cardiac computed tomography (CCT), cardiovascular magnetic resonance (CMR), interventional cardiology, nuclear medicine, and electrophysiology. This review explores the clinical applications of AI within each of these areas, highlighting its ability to improve patient selection, reduce image acquisition time, enhance image optimization, facilitate the integration of data from different imaging modality and clinical sources, improve diagnosis and risk stratification. Moreover, we illustrate both the advantages and the limitations of AI across these modalities, acknowledging that while AI can significantly aid in diagnosis, risk stratification, and workflow efficiency, it cannot replace the expertise of cardiologists.
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