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8 - Principles of clinical neuro-epidemiology

from PART I - INTRODUCTION AND GENERAL PRINCIPLES

Published online by Cambridge University Press:  05 August 2016

Michael D. Hill
Affiliation:
Department of Clinical Neurosciences, University of Calgary, Alberta, Canada
Thomas E. Feasby
Affiliation:
Department of Clinical Neurosciences, University of Calgary, Alberta, Canada
Arthur K. Asbury
Affiliation:
University of Pennsylvania School of Medicine
Guy M. McKhann
Affiliation:
The Johns Hopkins University School of Medicine
W. Ian McDonald
Affiliation:
University College London
Peter J. Goadsby
Affiliation:
University College London
Justin C. McArthur
Affiliation:
The Johns Hopkins University School of Medicine
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Summary

Epidemiology is ‘the study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems’ (Last, 1995). Historically, the science of epidemiology began with the study of outbreaks of infectious disease. It has since progressed in parallel with a shift, in the Western world, from infectious disease to chronic diseases as the major causes of morbidity and mortality. New branches have developed, such as clinical epidemiology, which again have spawned the concept of evidence-based medicine. The modern neurologist must now have both an understanding of the traditional concepts of epidemiology, such as incidence and prevalence of major diseases, and also a solid understanding of clinical research methods and how results of clinical trials apply to their patients. This chapter is designed, with brevity in mind, to provide an initial overview of these fundamentals.

Population-based research in neurological disease

Populations and sampling

There is no substitute for good natural history data. In some cases, society has legislated that all instances of a disease be reported. Both rare diseases, such as rabies or previously more common diseases such as poliomyelitis, are reportable in most jurisdictions in the western world. Legislated data collection results in population-based information. It is no coincidence that these examples are both infectious diseases. With the shift to chronic or degenerative diseases such as atherosclerosis, cancer, arthritis as the leading killing and disabling illnesses, we have not made the same commitments to collecting data as with infectious diseases. We rely upon extrapolation from much smaller samples drawn from the population.

If one could study every human being, it would be unnecessary to understand sampling. Even in very large studies, researchers can only study a tiny proportion of the population; pragmatism dictates it. The principle of sampling is to select from the population a truly representative group for study. A population is any group of persons described as generally or as specifically as appropriate. One may study the entire population of the Western hemisphere, the population of North American First Nations peoples, or the population born in a particular year or years, e.g. the ‘baby boomers’. A sampling unit is the basic unit of sampling, e.g. individual, family, city, etc. This entire list of sampling units is called the sampling frame. The sample is derived from the sampling frame.

Type
Chapter
Information
Diseases of the Nervous System
Clinical Neuroscience and Therapeutic Principles
, pp. 118 - 126
Publisher: Cambridge University Press
Print publication year: 2002

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