Prognosis Research in Healthcare
Oxford University Press (Verlag)
978-0-19-879661-9 (ISBN)
"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. It details 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 an individual's 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.
Richard D. Riley is a Professor of Biostatistics at Keele University since 2014, having previous held posts at the Universities of Birmingham, Liverpool and Leicester. He is focused on statistical and methodological research for prognosis and meta-analysis, and supports clinical projects in these areas. He is also a Statistics Editor for the BMJ and a co-convenor of the Cochrane Prognosis Methods Group. Prof Riley co-leads a summer school in Prognosis Research Methods, and leads a number of statistical training courses for risk prediction and meta-analysis Professor Danielle van der Windt received her academic training in epidemiology in the Netherlands at the EMGO+ Institute for Health and Care Research of the VU University in Amsterdam where she worked in a programme of research on the diagnosis, prognosis and management of musculoskeletal disorders. She is currently a Professor of primary care epidemiology at Keele, and is part of the Centre's executive management team Professor Peter Croft is a Professor of Primary Care Epidemiology at Keele since 1994. Previously, he worked as a General Practitioner in Newcastle-under-Lyme, before training as an epidemiologist at the Medical Research Council's Environmental Epidemiology Unit in Southampton, and at the Arthritis Research Campaign's Epidemiology Research Unit in Manchester Professor Karel G.M. Moons is Professor of Clinical Epidemiology at the Julius Center for Health Sciences and Primary Care. He is Director of Research in the management team of the Julius Center, and leads the research programme 'Methodology'. Since 2005 also he has an Adjunct Professorship at VanderBilt University, Nashville, USA. Having obtained his PhD in Epidemiology at Erasmus University, Rotterdam, he has been Visiting Professor at the University of Virginia, Charlottesville, USA in 2002, and at Tokai University, Japan.
Part 1: Introduction to prognosis and prognosis research
1: Peter Croft, Richard D. Riley, Danielle A. van der Windt, and Karel G.M. Moons: Prognosis in healthcare
2: Peter Croft, Richard D. Riley, Danielle A. van der Windt, Karel G.M. Moons, and Harry Hemingway: A framework for prognosis research
Part 2: Fundamental statistics for prognosis research
3: Richard D. Riley, Kym I.E. Snell, Karel G.M. Moons, and Thomas P.A. Debray: Fundamental statistical methods for prognosis research
4: Richard D. Riley, Kym I.E. Snell, Karel G.M. Moons, and Thomas P.A. Debray: Ten principles to strengthen prognosis research
Part 3: Undertaking prognosis research
5: Danielle A. van der Windt, Harry Hemingway, Peter Croft: Overall prognosis research
6: Richard D. Riley, Karel G.M. Moons, Jill A. Hayden, Willi Sauerbrei, Douglas G. Altman: Prognostic factor research
7: Richard D. Riley, Karel G.M. Moons, Thomas P.A. Debray, Kym I.E. Snell, Ewout W. Steyerberg, Douglas G. Altman, Gary S. Collins: Prognostic model research
8: Danielle A. van der Windt, Richard D. Riley, Aroon Hingorani, Karel G.M. Moons: Predictors of treatment effect
9: Richard D. Riley, Karel G.M. Moons, Thomas P.A. Debray, Douglas G. Altman, Gary S. Collins: Systematic reviews and meta-analysis of prognosis research studies
Part 4: Exemplars of prognosis research impact
10: Nadine E Foster, Danielle A. van der Windt, Kate M. Dunn, Peter Croft: Prognosis research in people with low back pain
11: Adam Timmis, Pablo Perel, Peter Croft: Prognosis research in people with coronary heart disease
12: Katherine I. Morley, Pablo Perel: Prognosis research in people with traumatic bleeding
Part 5: Novel Topics in prognosis research
13: Richard D. Riley, Thomas P.A. Debray, Karel G.M.Moons: Individual participant data meta-analysis of prognosis studies
14: Kelvin P. Jordan, Karel G.M. Moons: Electronic healthcare records and prognosis research
15: Michael J. Crowther, Mark J Rutherford: Novel statistical methods for prognosis research
16: Mihaela van der Schaar, Harry Hemingway: Machine learning in prognosis research
| Erscheinungsdatum | 28.01.2019 |
|---|---|
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 551 g |
| Themenwelt | Studium ► 2. Studienabschnitt (Klinik) ► Anamnese / Körperliche Untersuchung |
| Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
| ISBN-10 | 0-19-879661-7 / 0198796617 |
| ISBN-13 | 978-0-19-879661-9 / 9780198796619 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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