Understanding Epidemiology: A Vital Tool for Health Improvement

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Epidemiology is defined as the study of the distribution and determinants of health and disease in human populations. Basically, what this boils down to is that epidemiology is population based. Epidemiology is increasingly important in medicine and the well being of the population. The insights generated by epidemiology over the past half century have led to the development of a range of specific public health measures designed to improve the health of the population. Epidemiology is the basic science of both preventive medicine and evidence-based practice, and as such is becoming an indispensable tool for clinicians generally and GPs in particular. The epidemiologist attempts to place clinical or other observations in the context of the population
Unlike mortality, morbidity is not a single, unambiguous biological state but a gradient or spectrum of ill health from asymptomatic conditions or risk factors through symptoms of varying severity, to profound disability. Morbidity measures the incidence or prevalence of acute and chronic illness, by cause. Measuring morbidity is relatively easy if all cases present to the NHS. Among the measures of morbidity, two that are particularly useful to policy makers and those purchasing health care are causes of health care expenditures. The leading cause of health care expenditures includes injuries, major depression, arthritis and chronic diseases of major organs including the heart. The number or rate of nonfatal outcomes is not used as often as mortality in assessing disease burden. The only chronic, non-infectious condition for which the United States has national data for incident cases is cancer (Scutchfield & Keck, 2003). Rates of hospitalization are sometimes used to estimate disease burden among a population. Hospitalization rates have the advantage of being relatively easy to obtain and are useful for certain analyses, but are biased indicators of burden for the majority of conditions. For example, the increasing use of outpatient treatment for conditions previously requiring hospitalization can substantially affect the utility of these data for assessing burden. In the United States, heart disease is the leading cause of entry hospitalization, followed in order by childbirth, psychoses, pneumonia, cancer, and fractures (Thacker SB, Stroup DF, Carande-Kulis V, Marks JS, Roy K, Gerberding JL, 2006). Patients with fractured femurs or acute schizophrenia, for example, fall into this category because the severity of their clinical condition nearly always dictates admission to hospital (Scutchfield & Keck,

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