Avoidable mortality: what it means and how it is measured
AbstractWe explore in this research paper the concept of avoidable mortality and how the way it is measured has evolved over time. Starting from an earlier review by Nolte and McKee (2004), we review the empirical studies which have been produced since then. Finally we appraise the empirical applications of the most recent literature. The concept of “avoidable mortality” refers, broadly speaking, to all those deaths that, given current medical knowledge and technology, could be avoided by the healthcare system through either prevention and/or treatment. It originates from the pioneering work by Rutstein, Berenberg et al. (1976) which introduced the notion of 'unnecessary untimely deaths' as a new way to measuring the quality of medical care. The most recent empirical literature shows that the notion of avoidable mortality continues to be used to establish the extent to which people are dying from amenable conditions within and/or across countries and over time, and whether socio-economic status and ethnicity are related to mortality from amenable conditions. Most studies use data taken from national death registries, with only two which link the concept of avoidable mortality to routinely collected administrative data of healthcare provision, such as hospitals. A number of criticisms are raised, with probably the most remarkable being the lack of association found between avoidable mortality and healthcare inputs. No study has actually attempted to use the concept of avoidable mortality within the original aim envisaged by Rutstein, i.e. as a quality indicator of healthcare provision. We recommend for future work in this area to focus on investigating the link between the provision of healthcare and the concept of avoidable mortality, with a particular emphasis on using routinely collected administrative data, such as hospital discharge data.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. 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.
Bibliographic InfoPaper provided by Centre for Health Economics, University of York in its series Working Papers with number 063cherp.
Length: 44 pages
Date of creation: Jun 2011
Date of revision:
This paper has been announced in the following NEP Reports:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Dennis Petrie & Kam Ki Tang & D.S. Prasada Rao, 2009.
"Measuring Avoidable Health Inequality with Realization of Conditional Potential Life Years (RCPLY),"
Dundee Discussion Papers in Economics
224, Economic Studies, University of Dundee.
- Dennis Petriea & Kam Ki Tang & D. S. Prasada Rao, 2009. "Measuring Avoidable Health Inequality with Realization of Conditional Potential Life Years (RCPLY)," Discussion Papers Series 395, School of Economics, University of Queensland, Australia.
- Petrie, Dennis & Tang, Kam Ki & Prasada Rao, D. S., 2009. "Measuring Avoidable Health Inequality with Realization of Conditional Potential Life Years (RCPLY)," SIRE Discussion Papers 2009-36, Scottish Institute for Research in Economics (SIRE).
- Christoph Schwierz & Ansgar Wübker, 2009. "Determinants of Avoidable Deaths from Ischaemic Heart Diseases in East and West Germany," Ruhr Economic Papers 0119, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- Carr, Willine & Szapiro, natan & Heisler, Toni & Krasner, Melvin I., 1989. "Sentinel health events as indicators of unmet needs," Social Science & Medicine, Elsevier, vol. 29(6), pages 705-714, January.
- FFF1Ellen NNN1Nolte & FFF2Martin NNN2McKee & FFF2Rembrandt D. NNN2Scholz, 2004. "Progress in health care, progress in health?," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(6), pages 139-162, April.
- FFF1France NNN1Meslé, 2004. "Mortality in Central and Eastern Europe," Demographic Research Special Collections, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 2(3), pages 45-70, April.
- K.K.Tang & Prasada Rao, .
"Avoidable Mortality Risks and Measurement of Wellbeing and Inequality,"
MRG Discussion Paper Series
0806, School of Economics, University of Queensland, Australia.
- Tang, Kam Ki & Chin, Jackie T.C. & Rao, D.S. Prasada, 2008. "Avoidable mortality risks and measurement of wellbeing and inequality," Journal of Health Economics, Elsevier, vol. 27(3), pages 624-641, May.
- Wood, Evan & Sallar, Anthony M. & Schechter, Martin T. & Hogg, Robert S., 1999. "Social inequalities in male mortality amenable to medical intervention in British Columbia," Social Science & Medicine, Elsevier, vol. 48(12), pages 1751-1758, June.
- Kam Ki Tang & Dennis Petrie & D. S. Prasada Rao, 2009. "Measuring health inequality with realization of potential life years (RePLY)," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages S55-S75, April.
- Richard Heijink & Xander Koolman & Gert Westert, 2013. "Spending more money, saving more lives? The relationship between avoidable mortality and healthcare spending in 14 countries," The European Journal of Health Economics, Springer, vol. 14(3), pages 527-538, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Frances Sharp).
If references are entirely missing, you can add them using this form.