Skip to main content

Policy applications of health expectancy

Bone, Margaret R., Bebbington, Andrew, Nicolaas, Geraldine (1995) Policy applications of health expectancy. Journal of Aging and Health, 10 (2). pp. 136-153. (doi:10.1177/089826439801000202) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:17593)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1177/089826439801000202

Abstract

Empirical estimates of trends in health expectancy throughout the nations of the developed world provide conflicting evidence on the debate whether increasing life expectancy is accompanied by a compression or expansion of morbidity and disability. Complicating this issue is the fact that various methods are available for calculating health expectancy, each requiring a unique and often difficult to obtain source of data. It is suggested here that to reliably communicate the policy relevance of the measure of health expectancy it is necessary for countries such as the United Kingdom to make a long-term commitment to developing longitudinal databases that permit the most reliable estimates of trends in the health status of the population.

Item Type: Article
DOI/Identification number: 10.1177/089826439801000202
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: I. Ghose
Date Deposited: 24 Oct 2009 18:58 UTC
Last Modified: 16 Nov 2021 09:55 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/17593 (The current URI for this page, for reference purposes)

University of Kent Author Information

Bebbington, Andrew.

Creator's ORCID:
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.