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Epidemiological (and other observational) studies typically highlight associations between exposures and outcomes, rather than causation. While some consider this a limitation of observational research, epidemiological models of causation (e.g. Bradford Hill criteria) [7] contend that an entire body of evidence is needed before determining if an association is truly causal. [8]
The term epidemiology is now widely applied to cover the description and causation of not only epidemic, infectious disease, but of disease in general, including related conditions. Some examples of topics examined through epidemiology include as high blood pressure, mental illness and obesity. Therefore, this epidemiology is based upon how the ...
There are many extensions to the STROBE Statement which cover a variety of different topic domains such as nutritional epidemiology, [5] [6] [7] genetic association studies, [8] rheumatology, [9] [10] molecular epidemiology, [11] infectious disease molecular epidemiology, [12] respondent-driven sampling, [13] routinely collected health data [14] [15] (e.g., health administrative data ...
The sample population contained females within the age range of 25–42, employed as nurses, from 14 U.S. States. [5] Data collected included the brand of pill and length of use. [5] Over time, the study expanded to include information on basic practices and measurements of health, such as exercise practices and food intake. [5]
In order to keep everything standardized, vocabulary and word usage needs to be consistent throughout all systems. Finding new ways to link together and share new data with current systems is important to keep everything up to date. [15] Storage of public health data shares the same data management issues as other industries. Like other ...
Epi Info is used for analysis in medical research, and for data entry. Examples of its use for research include a study of eye conditions, [6] a study of healthcare infections [7] and a study of psychiatric morbidity. [8] Examples of papers that used Epi Info for data entry include a study on nutrition [9] and an epidemiological survey about ...
Clinical epidemiology aims to optimise the diagnostic, treatment and prevention processes for an individual patient, based on an assessment of the diagnostic and treatment process using epidemiological research data. [7] [8] A central tenet of clinical epidemiology is that every clinical decision must be based on rigorously evidence-based ...
Health information management's standards history is dated back to the introduction of the American Health Information Management Association, founded in 1928 "when the American College of Surgeons established the Association of Record Librarians of North America (ARLNA) to 'elevate the standards of clinical records in hospitals and other medical institutions.'" [3]