23 research outputs found

    THE DETERMINANTS OF SOCIAL ASSISTANCE RATES: EVIDENCE FROM A PANEL OF CANADIAN PROVINCES, 1997-1996

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    In this study, we focus on several potential determinants of provincial social assistance rates: the unemployment rate, the UI wage replacement rate and eligibility rules, the SA benefit level, the minimum wage, and the average industrial wage. Specifically, we try to quantify their respective contributions to observed fluctuations in provincial social assistance rates over the period 1977-1996. This is facilitated by the fact that there was plenty of movement across provinces in these various influences over the last 20 years.

    Do Drugs Reduce Utilisation of Other Healthcare Resources?

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    Background: Drug expenditures per capita have drastically increased over the last quarter century in Canada, with a share of overall healthcare costs rising from 8.8% in 1980 to 16.8% in 2002. Pressure to curb expenditure on drugs has increased accordingly, but containing drug expenditure might increase costs elsewhere in the healthcare sector. Objective: To measure substitution patterns between drugs and other healthcare resources over the last 25 years and thus assess whether containing drug costs might result in higher expenditure elsewhere in the healthcare system. Methods and data: A production function approach was used, in which life expectancy was modelled as a function of per capita drugs and non-drug healthcare resources, among other factors. Estimates are used to calculate a marginal rate of substitution, or trade-off, between drugs and non-drug healthcare resources, for a given level of life expectancy in the population. The model is estimated from a societal perspective, with panel data techniques using Canadian provincial-level data on health expenditure and spending on physicians per capita for the period 1980-2002, as well as individual survey data on lifestyle habits such as cigarette consumption and body mass index. Result: Using life expectancy at birth for males as the production function, increasing drug spending by Can1.00(constant2003values)wasaccompaniedbyadecreaseofCan1.00 (constant 2003 values) was accompanied by a decrease of Can1.48 in non-drug, non-physician healthcare resources over the study period, without affecting life expectancy at birth. Results using life expectancy at birth for females as the production function showed a decrease of $Can1.05 in non-drug, non-physician healthcare resources over the same period. Conclusion: Using life expectancy as a general health indicator, results suggest that increases in drug spending could be more than offset by decreases in other healthcare spending without affecting the health of the population. This suggests that better access to drugs may be an effective strategy to decrease overall healthcare costs. Freeing up healthcare dollars by reallocating spending towards drugs could provide opportunities for overall healthcare cost savings without negatively impacting the health of the population.Cost-analysis, Drug-utilisation, Healthcare-expenditure, Resource-use

    Cost Effectiveness, Quality-Adjusted Life-Years and Supportive Care: Recombinant Human Erythropoietin as a Treatment of Cancer-Associated Anaemia

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    Objective: To measure the cost effectiveness of a supportive care intervention when the no-treatment option is unrealistic in an analysis of recombinant human erythropoietin (epoetin) treatment for anaemic patients with cancer undergoing chemotherapy. Further, to assess whether quality-adjusted life-years (QALYs) can provide the basis for an appropriate measure of the value of supportive care interventions. Design: A modelling study drawing cost and effectiveness assumptions from a literature review and from 3 US clinical trials involving more than 4500 patients with cancer who were treated with chemotherapy, radiotherapy, epoetin and blood transfusions as needed under standard care for patients with cancer. Main outcome measures and results: When compared with transfusions, epoetin is cost effective under varying assumptions, whether effectiveness is measured by haemoglobin level or quality of life. Specifically, under a base-case scenario, the effectiveness resulting from US1spentonstandardcarecanbeachievedwithonlyUS1 spent on standard care can be achieved with only US0.81 of epoetin care. Due in part to the health-state dependence of the significance patients attach to incremental changes in their responses on the linear analogue scale, cost per QALY results are ambiguous in this supportive care context. Conclusions: Under a broad range of plausible assumptions, epoetin can be used cost effectively in the treatment of anaemic patients with cancer. Further, QALYs have limited applicability here because, as a short term supportive treatment, epoetin enhances the quality but not the length of life. Future research would benefit from the establishment of consistent values for quality-of-life changes across patients and health status, and the extension of the QALY framework to supportive care.Pharmacoeconomics, Anaemia, Epoetin-alfa, Quality-adjusted-life-years, Cost-utility, Antianaemics, Cancer

    Pharmacoeconomics and Health Policy: Current Applications and Prospects for the Future

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    The use of pharmacoeconomic tools has grown dramatically in the past decade as provision of healthcare throughout the industrialised world has required increased cost consciousness. However, pharmacoeconomic analysis has not yet been fully exploited as a conceptual underpinning for public or private health policy decisions. Pharmacoeconomics is likely to become an increasingly important basis for health policy decisions as a number of significant dynamics evolve in the marketplace, including: 1. consumers acting on their growing access to information and becoming more actively involved in treatment decisions; 2. payers, providers and patients deepening their interaction and overcoming their traditional (narrow) focus on either costs or benefits alone; and 3. manufacturers being challenged by other healthcare constituencies as sponsors of cost-based outcomes studies.Pharmacoeconomics, Health-policy, Health-economics
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