Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Plastic, Reconstructive and Hand Surgery, Nijmegen, The Netherlands
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Department of Plastic, Reconstructive, and Hand Surgery, Rotterdam, The Netherlands
Department of Rehabilitation Medicine, Rotterdam, The Netherlands
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Department of Plastic, Reconstructive, and Hand Surgery, Rotterdam, The Netherlands
Department of Rehabilitation Medicine, Rotterdam, The Netherlands
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Department of Plastic, Reconstructive, and Hand Surgery, Rotterdam, The Netherlands
Department of Rehabilitation Medicine, Rotterdam, The Netherlands
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Department of Plastic, Reconstructive, and Hand Surgery, Rotterdam, The Netherlands
Department of Rehabilitation Medicine, Rotterdam, The Netherlands
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Department of Rehabilitation Medicine, Rotterdam, The Netherlands
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Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Plastic, Reconstructive and Hand Surgery, Nijmegen, The Netherlands
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a private hand surgery clinic offering public service in the Netherlands. The startup position allowed for a complete redesign of hand surgery care. Early on, we added value-based healthcare (VBHC) principles such as integrated care, healthcare
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, Oxford Knee Score; MA, mechanical axis; MUA, manipulation under anesthesia; BMI, body mass index; CT, computed tomography Cost analysis In today’s cost-conscious healthcare environment that has transitioned towards value-based care, the
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assigned point estimate values. These are often based on meta-analysis data. Thus, they will inevitably have a range of possible values around them. For example, if the 95% confidence interval of a particular probability value (e.g. the probability for a
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Department of Orthopaedic Surgery, St Vincent’s Hospital, Fitzroy, Australia
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Department of Orthopaedic Surgery, St Vincent’s Hospital, Fitzroy, Australia
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demands from high-cost interventions, there is now a greater focus on delivering value in healthcare. 12 , 13 Determining value requires a balanced assessment of both quality and cost metrics to inform cost-effectiveness valuations. The value-based
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK
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large number of patients. Hospitals want to avoid the expenditures and hazards related to healthcare delivery using implant systems of uncertain reliability, value and safety. Teaching hospitals also look for not-too-steep learning curve systems thereby
Health Sciences PhD Program, Universidad Católica de Murcia UCAM, Murcia, Spain
Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Subgroup analyses were conducted (denoted as ‘g’) based on the type of images. Group 0 was considered as the reference in the case of magnetic resonance imaging, while a value of 1 was assigned to images that did not meet this standard, such as X-rays and
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Care and Public Health Research Institute (CAPHRI) Maastricht University, Maastricht, the Netherlands
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Care and Public Health Research Institute (CAPHRI) Maastricht University, Maastricht, the Netherlands
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Care and Public Health Research Institute (CAPHRI) Maastricht University, Maastricht, the Netherlands
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term ( 18 , 19 ). Universal economic constraints of healthcare services dictate that their cost-effectiveness will govern further advances in THA, which underlines the pertinence of reviewing this topic ( 20 ). This systematic review aims to evaluate
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-hypertension campaigns and the possibility of measuring it in the family doctor’s office or in healthcare facilities ( 28 ). The focus on ideal values led to a growing market for measurement devices. It also shifted the responsibility for measurement and monitoring from
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patterns). • Support health service allocation decisions (‘value-based care). • Inform quality improvement initiatives. Healthcare organizations • Monitor organization and provider performance. • Conduct comparisons with peer organizations. • Inform
Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
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paradigms and techniques. Supervised and unsupervised learning can be further split into regression, classification, and clustering tasks. Regression is a supervised learning technique that predicts a continuous outcome based on the value of one or