Publications (22) View all
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Article: Inequity in a market-based health system: Evidence from Canada's dental sector.
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ABSTRACT: We study the extent and drivers of income-related inequity in utilization of dental services in Canada using the concentration-index approach that has been widely applied to study inequity in physician and hospital services. Because dental care is almost wholly privately financed in Canada, our estimates provide a benchmark for income-related inequity of utilization in private health systems. Although a number of studies document a link between income and utilization, our study is one of the few measuring income-related inequity in dental care utilization. A unique feature of our study is that we analyze separately inequity in total dental visits and in preventive visits. This is important because the case for equity is much clearer for preventive dental care. We also examine the impact of controlling for need using a wider variety of need indicators than previous analyses. We confirm that most oral health indicators perform poorly as need adjustors because they reflect past dental care use: individuals with higher levels of utilization also are in better oral health. Our most important finding is that access to preventive care is the most "pro-rich" type of dental care utilization and that income-related inequity in preventive dental care utilization is three times larger than what is measured for specialist services utilization in Canada.Health Policy 11/2010; 98(1):81-90. · 1.51 Impact Factor -
Article: Is there an age pattern in the treatment of AMI? Evidence from Ontario.
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ABSTRACT: In this article we analyse the rates at which those admitted to hospital with acute myocardial infarction (AMI) receive aggressive treatment, assess how those rates have changed over time, and ask whether there is evidence of age discrepancies. Estimates made on the basis of data from an administrative database that includes discharges from all acute care hospitals in Ontario for selected years, from 1995 to 2005, indicate that there are strong and persistent age patterns in the application of medical technology. Results showed that to be true even after controlling for the higher rates of co-morbidities among older patients and variations across hospitals in practice patterns.Canadian journal on aging = La revue canadienne du vieillissement 09/2010; 29(3):317-32. · 0.92 Impact Factor -
Article: Subjective unmet need and utilization of health care services in Canada: what are the equity implications?
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ABSTRACT: This study aimed to evaluate whether subjective assessments of unmet need may complement conventional methods of measuring socioeconomic inequity in health care utilization. This study draws on the 2003 Canadian Community Health Survey to develop a conceptual framework for understanding how unmet need arises, to empirically assess the association between utilization and the different types of unmet need (due to waiting times, barriers and personal reasons), and to investigate the effect of adjusting for unmet need on estimates of income-related inequity. The study's findings suggest that a disaggregated approach to analyzing unmet need is required, since the three different subgroups of unmet need that we identify in Canada have different associations with utilization, along with different equity implications. People who report unmet need due to waiting times use more health services than would be expected based on their observable characteristics. However, there is no consistent pattern of utilization among people who report unmet need due to access barriers, or for reasons related to personal choice. Estimates of inequity remain unchanged when we incorporate information on unmet need in the analysis. Subjective assessments of unmet need, namely those that relate to barriers to access, provide additional policy-relevant information that can be used to complement conventional methods of measuring inequity, to better understand inequity, and to guide policy action.Social Science [?] Medicine 11/2009; 70(3):465-72. · 2.70 Impact Factor -
Article: Access to psycho-social resources and health: exploratory findings from a survey of the French population.
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ABSTRACT: We study the psycho-social determinants of self-assessed health in order to explain social inequalities in health in France. We use a unique general population survey to assess the respective impact on self-assessed health status of subjective perceptions of social capital, social support, and sense of control, controlling for standard socio-demographic factors (SES, income, education, age, and gender). The survey is unique in that it provides a variety of measures of self-perceived psycho-social resources (trust and civic engagement, social support, sense of control, and self-esteem). We find empirical support for the link between the subjective perception of psycho-social resources and health. Sense of control at work is the most important correlate of health status after income. Other important ones are civic engagement and social support. To a lesser extent, sense of being lower in the social hierarchy is associated with poorer health status. On the contrary, relative deprivation does not affect health in our survey. Since access to psycho-social resources is not equally distributed in the population, these findings suggest that psycho-social factors can partially explain of social inequalities in health in France.Health Economics Policy and Law 11/2008; 3(Pt 4):365-91. · 1.33 Impact Factor -
Article: Does free complementary health insurance help the poor to access health care? Evidence from France.
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ABSTRACT: The French government introduced a 'free complementary health insurance plan' in 2000, which covers most of the out-of-pocket payments faced by the poorest 10% of French residents. This plan was designed to help the non-elderly poor to access health care. To assess the impact of the introduction of the plan on its beneficiaries, we use a longitudinal data set to compare, for the same individual, the evolution of his/her expenditures before-and-after enrollment in the plan. This before-and-after analysis allows us to remove most of the spuriousness due to individual heterogeneity. We also use information on past coverage in a difference-in-difference analysis to evaluate the impact of specific benefits associated with the plan. We attempt at controlling for changes other than enrollment through a difference-in-difference analysis within the eligible (rather than enrolled) population. Our main result is the plan's lack of an overall effect on utilization. This result is likely attributable to the fact that those who were enrolled automatically in the free plan (the majority of enrollees), already benefited from a relatively generous plan. The significant effect among those who enrolled voluntarily in the free plan was likely driven by those with no previous complementary coverage.Health Economics 03/2008; 17(2):203-19. · 2.12 Impact Factor
