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Willingness to pay and accept risks to cure chronic disease
American Journal of Public Health
|April 1, 1986
Summary
Patients with rheumatoid arthritis would accept significant risks and pay a substantial portion of their income for a cure, indicating the feasibility of these health economic measures.
Area of Science:
- Health Economics
- Rheumatology
- Quality of Life Research
Background:
- Traditional disease burden measurements often overlook quality of life impacts, focusing primarily on economic outputs.
- Quantifying the true burden of illness necessitates understanding patient willingness to pay (WTP) or accept risk (MAR) to avoid or cure disease.
- Existing WTP and MAR methods face challenges with low response rates and participant comprehension, questioning their practicality.
Purpose of the Study:
- To assess the feasibility of using WTP and MAR questions in patients with rheumatoid arthritis.
- To determine the extent of income patients would pay and the mortality risk they would accept for a cure.
- To explore associations between WTP/MAR and specific disease aspects like daily living impairment and pain.
Main Methods:
- A study involving 247 rheumatoid arthritis patients interviewed by trained professionals.
- Patients were asked about their maximum acceptable risk (MAR) of immediate death and willingness to pay (WTP) for a hypothetical cure.
- Data collected included WTP as a percentage of household income and MAR as a percentage chance of death.
Main Results:
- High response rates were achieved: 98% provided MAR estimates (average 27% chance of immediate death) and 84% provided plausible WTP responses (average 22% of household income).
- Impairment in daily activities was strongly linked to WTP.
- Measured pain was the primary factor associated with MAR.
Conclusions:
- The study demonstrates the feasibility of using WTP and MAR methods in clinical populations, achieving high response rates.
- WTP and MAR are influenced by specific patient circumstances, such as daily functioning and pain levels.
- These findings support the systematic inclusion of personal circumstances when evaluating disease burden and treatment preferences.