This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Inevitability of Mortality? Evaluating Alternatives to the SMR

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Stephen Birch (Department of Clinical Epidemiology & Biostatistics, Centre for Health Economics and Policy Analysis, McMaster University)
John Eyles (Department of Geography, Enviromental Health Programme, McMaster University)
Bruce Newbold (Department of Geography, University of Illinois)

Additional information is available for the following registered author(s):

Abstract

Study Objectives - (i) To develop a non-mortality based proxy for relative needs for health care among regional populations. (ii) To compare this proxy with a mortality-based proxy for population relative needs. (iii) To evaluate the additional value of a proxy based on a combination of nonmortality and mortality based proxies. Design - Estimation of the relative odds of levels of self-assessed health by selected socioeconomic variables using population survey data. Application of the estimates to regional populations to calculate socioeconomic-based population ‘scores’. Comparison of the correlations of socioeconomic indicator (SEI) scores, standardized mortality rates (SMR) and combined indicator scores with regional populations’ self-assessed health levels. Setting - The province of Quebec, Canada. Coverage - The populations of the 15 health regions in Quebec. Main outcome measure: Performance of proxy indicators in explaining variations in self-assessed health levels among regions’ populations. Results - Variations in SEI scores among regions explain 37% of the observed variation in self-assessed health, 4% more than the level of variation explained by SMR scores. A weighted combination of both mortality and socio-economic based proxies explains 56 per cent of variation in self-assessed health. Conclusions - Justification of ‘deprivation weights’ in population-based resource allocation formulae should be based on empirical support concerning the performance of such weights as proxies for relative levels of need among populations. The SEI developed in this study provides a closer proxy to the self-assessed health of the populations under study than the SMR. The superior performance of the combined indicator suggests that the development of social deprivation indicators should be viewed as a complement to, as opposed to substitute for mortality-based measures in needs-based resource allocation exercises.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.chepa.org/Portals/0/pdf/WP%2095-10.pdf
File Format: application/pdf
File Function: First version, 1995
Download Restriction: no

Publisher Info
Paper provided by Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada in its series Centre for Health Economics and Policy Analysis Working Paper Series with number 1995-10.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 31 pages
Date of creation: 1995
Date of revision:
Handle: RePEc:hpa:wpaper:199510

Contact details of provider:
Postal: Faculty of Health Sciences, Mc Master University, 1200 Main Street West, Hamilton, Ontario, L8N 3Z5
Phone: (905) 525-9140, extension 22122
Fax: (905) 546-5211
Email:
Web page: http://www.chepa.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Gioia Buckley).

Related research
Keywords: population needs; mortality; deprivation;

Statistics
Access and download statistics

Did you know? The RePEc project started in 1997. Its precursor, NetEc, dates back to 1993.

This page was last updated on 2009-11-19.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.