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Prognosis Research in Healthcare
Concepts, Methods, and Impact
9780198796619
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Description
What is going to happen to me? Most patients ask this question during a clinical encounter with a health professional. As well as learning what problem they have (diagnosis) and what needs to be done about it (treatment), patients want to know about their future health and wellbeing (prognosis). Prognosis research can provide answers to this question and satisfy the need for individuals to understand the possible outcomes of their condition, with and without treatment. Central to modern medical practise, the topic of prognosis is the basis of decision making in healthcare and policy development. It translates basic and clinical science into practical care for patients and populations. Prognosis Research in Healthcare:: Concepts, Methods and Impact provides a comprehensive overview of the field of prognosis and prognosis research and gives a global perspective on how prognosis research and prognostic information can improve the outcomes of healthcare. Itdetails how to design, carry out, analyse and report prognosis studies, and how prognostic information can be the basis for tailored, personalised healthcare. In particular, the book discusses how information about the characteristics of people, their health, and environment can be used to predict anindividuals future health. Prognosis Research in Healthcare:: Concepts, Methods and Impact, addresses all types of prognosis research and provides a practical step-by-step guide to undertaking and interpreting prognosis research studies, ideal for medical students, health researchers, healthcare professionals and methodologists, as well as for guideline and policy makers in healthcare wishing to learn more about the field of prognosis.
Product Details
87653
9780198796619
9780198796619
Data sheet
- Publication date
- 2019
- Issue number
- 1
- Cover
- paperback
- Pages count
- 376
- Dimensions (mm)
- 156 x 234
- Weight (g)
- 551
- Part 1: Introduction to prognosis and prognosis research; Prognosis in healthcare; A framework for prognosis research; Part 2: Fundamental statistics for prognosis research; Fundamental statistical methods for prognosis research; Ten principles to strengthen prognosis research; Part 3: Undertaking prognosis research; Overall prognosis research; Prognostic factor research; Prognostic model research; Predictors of treatment effect; Systematic reviews and meta-analysis of prognosis research studies; Part 4: Exemplars of prognosis research impact; Prognosis research in people with low back pain; Prognosis research in people with coronary heart disease; Prognosis research in people with traumatic bleeding; Part 5: Novel Topics in prognosis research; Individual participant data meta-analysis of prognosis studies; Electronic healthcare records and prognosis research; Novel statistical methods for prognosis research; Machine learning in prognosis research;
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