Sharmala Thuraisingam, Jason E Black, Michelle M Dowsey, Patty Chondros, Jo-Anne Manski-Nankervis, Stephanie Garies, Tyler S Williamson
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An overview of developing clinical prediction models in family practice.
Clinical prediction models are rapidly gaining recognition as valuable tools for enhancing decision-making in family practice. This is driven by the increasing availability of high-quality, routinely collected data. This paper offers a practical introduction to developing clinical prediction models using family practice data, presenting a clear, step-by-step framework that covers key stages from defining objectives to planning implementation. By clarifying the development process, it aims to empower family physicians and family practice researchers with the foundational knowledge needed to engage in model development and contribute to tools that improve patient outcomes through accurate, timely, and personalized patient care.
期刊介绍:
Family Practice is an international journal aimed at practitioners, teachers, and researchers in the fields of family medicine, general practice, and primary care in both developed and developing countries.
Family Practice offers its readership an international view of the problems and preoccupations in the field, while providing a medium of instruction and exploration.
The journal''s range and content covers such areas as health care delivery, epidemiology, public health, and clinical case studies. The journal aims to be interdisciplinary and contributions from other disciplines of medicine and social science are always welcomed.