Person-centred care (PCC) is acknowledged as a fundamental dimension of quality within health care and provides significant benefits for patients and clinicians. Models of PCC have primarily been developed from the medical literature, with limited consideration of their application within dentistry. The Personalised Care Institute was established to deliver education and training on PCC and is working with the Office of the Chief Dental Officer for England to develop resources on shared decision-making (SDM) to promote tailored recall intervals.This paper seeks to promote the value of PCC and SDM in delivering high-quality care but cautions against the use of generic models or training in view of the potential differences which may exist within dentistry, particularly general dental practice. The authors highlight the need to develop materials and training which are appropriate, contextualised and relevant to dentistry. The capacity and desire to deliver PCC is strongly influenced by the healthcare system which is in operation. The current units of dental activity (UDA) system operating in England would appear to act as a barrier to the delivery of PCC. Unless significant and rapid changes are introduced to the NHS Contract, UDA targets will continue to take precedence over PCC, SDM and tailored recall intervals.
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http://dx.doi.org/10.1038/s41415-023-6009-0 | DOI Listing |
Alzheimers Dement
January 2025
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Stockholm, Sweden.
Background: We sought to characterize the cognitive profile among individuals with mild cognitive impairment with Lewy bodies (MCI-LB) to help guide future clinical criteria.
Methods: Systematic review and meta-analysis included MCI-LB studies with cognitive data from PubMed, Embase, Web of Science, and PsycINFO (January 1990 to March 2023). MCI-LB scores were compared to controls, MCI due to Alzheimer's disease (MCI-AD), and dementia with Lewy bodies (DLB) groups with random-effects models.
J Prev Med Public Health
December 2024
Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Objectives: This study was performed to evaluate the utilization patterns of acid suppressants following the withdrawal of ranitidine in Korea.
Methods: Health Insurance Review & Assessment Service (HIRA) data from January 2016 to May 2023 were utilized to assess the usage of histamine H2 receptor antagonists (H2RAs) and proton pump inhibitors (PPIs) for acid-related diseases. Drug utilization was calculated for each agent based on the defined daily dose (DDD).
Eur Radiol
January 2025
Radboud University Medical Center, IQ Health science department, Nijmegen, The Netherlands.
Objectives: It is uncertain what the effects of introducing digital breast tomosynthesis (DBT) in the Dutch breast cancer screening programme would be on detection, recall, and interval cancers (ICs), while reading times are expected to increase. Therefore, an investigation into the efficiency and cost-effectiveness of DBT screening while optimising reading is required.
Materials And Methods: The Screening Tomosynthesis trial with advanced REAding Methods (STREAM) aims to include 17,275 women (age 50-72 years) eligible for breast cancer screening in the Netherlands for two biennial DBT screening rounds to determine the short-, medium-, and long-term effects and acceptability of DBT screening and identify an optimised strategy for reading DBT.
BMC Public Health
January 2025
Department of Clinical Nutrition, Nanjing Gaochun People's Hospital (The Gaochun Affiliated Hospital of Jiangsu University), Nanjing, Jiangsu, 211300, China.
Objectives: The relationship between sugar-sweetened beverage (SSB) intake and phenotypic age acceleration (PhenoAgeAccel) is unclear. The aim of this study was to explore the associations between the energy and timing of SSB intake and PhenoAgeAccel in adults.
Methods: A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 2007-2010, which involved U.
Nat Med
January 2025
Institute for Social Medicine and Epidemiology, University of Lübeck, Lubeck, Germany.
Artificial intelligence (AI) in mammography screening has shown promise in retrospective evaluations, but few prospective studies exist. PRAIM is an observational, multicenter, real-world, noninferiority, implementation study comparing the performance of AI-supported double reading to standard double reading (without AI) among women (50-69 years old) undergoing organized mammography screening at 12 sites in Germany. Radiologists in this study voluntarily chose whether to use the AI system.
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