Projects per year
Abstract
Introduction: Little is known about the cost-effectiveness of government policies that support primary care physicians to provide comprehensive chronic disease management (CDM). This paper aimed to estimate the potential cost-effectiveness of CDM policies over a lifetime for longtime survivors of stroke.
Methods: A Markov model, using three health states (stable, hospitalised, dead), was developed to simulate the costs and benefits of CDM policies over 30 years (with 1-year cycles). Transition probabilities and costs from a health system perspective were obtained from the linkage of data between the Australian Stroke Clinical Registry (cohort n = 12,368, 42% female, median age 70 years, 45% had CDM claims) and government-held hospital, Medicare, and pharmaceutical claims datasets. Quality-adjusted life years (QALYs) were obtained from a comparable cohort (n = 512, 34% female, median age 69.6 years, 52% had CDM claims) linked with Medicare claims and death data. A 3% discount rate was applied to costs in Australian dollars (AUD, 2016) and QALYs beyond 12 months. Probabilistic sensitivity analyses were used to understand uncertainty. Results: Per-person average total lifetime costs were AUD 142,939 and 8.97 QALYs for those with a claim, and AUD 103,889 and 8.98 QALYs for those without a claim. This indicates that these CDM policies were costlier without improving QALYs. The probability of cost effectiveness of CDM policies was 26.1%, at a willingness to-pay threshold of AUD 50,000/QALY.
Conclusion: CDM policies, designed to encourage comprehensive care, are unlikely to be cost-effective for stroke compared to care without CDM. Further research to understand how to deliver such care cost-effectively is needed.
| Original language | English |
|---|---|
| Pages (from-to) | 208-217 |
| Number of pages | 10 |
| Journal | Neuroepidemiology |
| Volume | 58 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2024 |
Keywords
- Chronic disease management ? Stroke ? Cost-effectiveness ? Economic evaluation ? Markov modelling
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Leading transformative improvements in cardiovascular rehabilitation: improving stroke rehabilitation outcomes through clinical trials and implementation research.
Lannin, N. (Primary Chief Investigator (PCI))
1/01/23 → 31/12/26
Project: Research
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National Stroke Data Linkage Program: Using big data to improve diagnostic coding, clinical management and long-term outcomes after stroke
Kilkenny, M. (Primary Chief Investigator (PCI))
National Heart Foundation of Australia
1/01/22 → 31/12/25
Project: Research
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Improving the cost-effectiveness of care and outcomes of stroke through innovation, capacity building and leveraging data platforms.
Cadilhac, D. (Primary Chief Investigator (PCI))
NHMRC - National Health and Medical Research Council (Australia), National Stroke Foundation (trading as Stroke Foundation)
1/01/19 → 31/12/23
Project: Research