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Analytic Strategies in Hospital Epidemiology: Cross-Sectional Studies

Published online by Cambridge University Press:  21 June 2016

William B. Credè  and
Walter J. Hierholzer Jr.
William B. Credè*
Affiliation:
Departments of Quality Assurance and Epidemiology, Yale School of Medicine, New Haven, Connecticut
Walter J. Hierholzer Jr.
Affiliation:
Departments of Quality Assurance and Epidemiology, Yale School of Medicine, New Haven, Connecticut
*
Yale-New Haven Hospital, 20 York Street, New Haven, CT 06504
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Extract

The cross-sectional study, also called the prevalence survey, is one of the most popular epidemiologic methods. It has been employed in up to one-third of published studies. This survey method has two primary applications: describing population characteristics and analyzing potential etiologic agents or risk tactors for diseases or other population attributes. Studies of the prevalence of rheumatoid arthritis and the association between smoking and chronic bronchitis are two examples of the cross-sectional method applied at the population-based level.

Type
Special Sections
Information
Infection Control & Hospital Epidemiology , Volume 10 , Issue 7 , July 1989 , pp. 321 - 325
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1989

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References

1. Fletcher, RH, Fletcher, SW, Wagner, FH: Cluneal Epidemiology: The Essen-lials. Baltimore, Williams and Wilkins. 1982.Google Scholar
2. Beali, G, Cobb, S: The frequency distribution of episodes of rheumatoid arthritis as shown bv the periodic examination. J Chronic Dis. 1961;14:291–310.10.1016/0021-9681(61)90090-XCrossRefGoogle Scholar
3. Ferris, BG Jr. Anderson, DC: The prevalence of chronic respiratory disease in a New Hampshire town. Am Rev Respir Dis. 1962;86:165–177.Google Scholar
4. Rhame, FS. Sudderth, WD: Incidence and prevalence as used in the analvsis of the occurrence of nosocomial infections. Am J Epidemiol 1981;113:1–11.10.1093/oxfordjournals.aje.a113058CrossRefGoogle Scholar
5. Kleinbaum, DG, Kuppet, LL, Morgenstern, H: Epidemiologic Research: Principles and Quantitative Methods. Belmont, Calif., Wadsworth Inc, 1982.Google Scholar
6. Friedman, GD: Primer of Epidemiology. New York, McGraw-Hill Book Go, 1974.Google Scholar
7. Fleiss, JL: Statistical Methods for Rates and Proportions. New York, John Wiley and Sons, 1981.Google Scholar
8. Slomc, C, Brogan, DR, Fyres, SJ, et al: Epidemiological Methods and Bio-statislics: A Workbook. Monterey, Calif, Wadsworth Health Sciences Division, 1982.Google Scholar
9. Haley, RW, Culver, Dil, Morgan, WM, et al: Increased recognition of infectious diseases in US hospitals through increased use of diagnostic tests, 1970-1976. Am J Epidemiol. 1985;121:168–181.10.1093/oxfordjournals.aje.a113989CrossRefGoogle ScholarPubMed
10. MacMahon, B, Pugh, TF: Epidemiology Principles and Methods. Boston, Little, Brown and Co, 1970.Google Scholar
11. Accreditation Manual for Hospitals. Chicago. Joint Commission on Accreditation of Healthcare Organizations. 1988.Google Scholar
12. Grindon, AJ, Tomasulo, HS, Bergin, JJ. et al: Hie hospital transfusion committee: Guidelines for improving practice. JAMA. 1985;253:540–543.10.1001/jama.1985.03350280096027CrossRefGoogle Scholar