Variability in the management of hypertension and cost-effectiveness: Methodology, community care results and potential cost reductions

Robert D. Stevens, Leo J. Bingley, Marilyn Boger, Jabr El-Wanni and Julie Kaston

Social Science & Medicine, 1984, vol. 18, issue 9, 767-774

Abstract: This study examined factors contributing to variability in the cost-effectiveness of managing hypertension using the Weinstein and Staton methodology. Empirical analysis was based on resource use and blood pressure data from 160 persons ages 25-64 in an urban community family practice center in 1976. The exploratory study presented results on blood pressure reduction, annual treatment costs, the importance of different cost factors, variability in management costs and potentials for increasing cost-effectiveness. For males cost-effectiveness estimates were similar to those of Weinstein and Stason, while the results for women were somewhat different due to less cost-effectiveness in hypertension management for older women. With small modifications in current Family Practice procedures the cost-effectiveness of managing hypertension appears to be able to be increased in many cases by as much as one-third.

Date: 1984
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0277-9536(84)90103-5
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:18:y:1984:i:9:p:767-774

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01

Access Statistics for this article

Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian

More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().