Algorithms for Health Planners: Vol. 6, Hypertension

Authors

David E. Drew, Claremont Graduate UniversityFollow
Emmett B. Keeler, University of California - Los Angeles

Document Type

Article

Department

Educational Studies (CGU)

Publication Date

8-1977

Disciplines

Applied Statistics | Cardiovascular Diseases | Community Health and Preventive Medicine | Health Policy | Health Services Research | Other Medicine and Health Sciences

Abstract

Assists health planners, especially those in Health Systems Agencies (HSAs), in developing objectives and taking action toward ameliorating the problem of hypertension, or high blood pressure (HBP). The algorithm, or methodology, helps HSAs assess the prevalence of hypertension in their areas, identify breakdowns in the health care system, and specify needed improvements in the system. Known facts about high blood pressure, its pathological complications, prevalence, and treatment are reviewed. Guidelines are presented for assessing community HBP rates (through analysis of existing data or through collection of new data) and comparing those rates with national or other standards. Possible community actions toward ameliorating these problems are discussed: educational programs, door-to-door screening, industrial clinics, neighborhood clinics, and private screening. Finally, guidelines are presented for assessing the effects of such community programs.

Rights Information

©1977 RAND Corporation

Terms of Use & License Information

Terms of Use for work posted in Scholarship@Claremont.

Recommended Citation

Drew, D. E. and Emmett B. Keeler. Algorithms for Health Planners: Vol. 6, Hypertension. Santa Monica, CA: RAND Corporation, 1977. http://www.rand.org/pubs/reports/R2215z6. Also available in print form.