New PDF release: An Introduction to Clinical Research

By Piers Page, William Eardley, James Carr, David Chadwick, Keith Porter

ISBN-10: 0199570078

ISBN-13: 9780199570072

This sensible ebook is written particularly for junior medical professionals through a workforce of hugely skilled authors, as an introductory consultant to medical learn. It covers all components junior physician must think about, together with investment, learn layout, ethics, info research, disseminating findings, and furthering one's examine profession. It provides a stability view of scientific study and is written by means of authors actively fascinated about medical learn either on the 'coal-face' and at a extra supervisory level.

Research could be a tricky approach and it's necessary to ensure that the venture is determined up within the right approach with a view to get verifiable effects. This easy-to-read advisor is obtainable to assist junior medical professionals increase an outstanding examine layout and current facts of a legitimate educational perform, that allows you to make acquiring investment much more likely and be time-efficient. Getting begun early in study and constructing a pretty good, sluggish realizing of scientific study via utilizing this approachable e-book could be of massive gain to junior medical professionals and their self-discipline.

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Additional resources for An Introduction to Clinical Research

Sample text

Appointments systems). This chapter is concerned primarily with medical and clinical audit. 1 The audit cycle. an example An ‘old-school’ consultant has worked at a hospital for several years, seeing junior doctors come and go. Without fail, at the end of his twice-weekly ward round, he likes a cup of coffee made by the juniors using ground coffee and a cafetière. Unfortunately, each junior seems to make it differently with variable results. He decides to perform an audit to try and improve the standard of coffee made.

Where phenomenology aims to produce descriptions from data, grounded theory aims to produce theory from data. This usually applies to the generation of totally novel theories, but may also involve the modification or extension of existing theories (21). For example, you wish to understand how the experience of hearing voices is associated with how those who hear voices relate to other people. Initially you had expected the relationship a person has to their voices to be quite different to how they relate to ‘real’ people.

In such cases you would intensively code sections from the whole data set. 2 Axial coding. After taking the data apart with open coding, it is now time to reconstruct it. To do this you begin to look for patterns, themes and relationships amongst the categories you have identified. g. In the case of our voice hearers this might the feeling of being stigmatized. g. replying to the voices in public and how other view this, portrayals of voice hearers in the media etc. To do so you ask a series of questions about the category such as: • • • • How did it occur?

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An Introduction to Clinical Research by Piers Page, William Eardley, James Carr, David Chadwick, Keith Porter

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