Measurement of benefits
This section contains
the following:
Introduction
To make judgments about efficiency an economic evaluation has to
compare health outcomes, however measured, with costs. there are
several tools available to measure and value health outcomes, the main
methods being quality-adjusted life-years, disability-adjusted
life-years and monetary measure of benefit, for example, contingent
valuation.
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The quality-adjusted life-year (QALY)
- A measure of health outcomes that reflects an
individual's valuation of quality of life and combines that with data
on length of life.
- QALYs are calculated on the basis that health can be
valued on a scale of 0 to 1. One year of perfect health is valued
as 1, and one year of less than perfect health is valued as less than
one, and death valued as 0. It is also possible for people to
value health states as less than 0, for those health states that people
may value as being worse than death.
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The disability-adjusted life-year
(DALY)
- Widely used when evaluating health related intervention
in developing countries and has also been quite widely criticised.
- DALYs are used to measure the life years lost from
different diseases and injuries.
- Like QALYs they are a non-monetary measure which can
combine information on both mortality and morbidity into a single unit.
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Monetary measures of benefit
- The health benefits of an intervention can also be valued
using the contingent valuation (CV) technique.
- CV use survey techniques to present respondents with
theoretical scenarios about the programme or problem under evaluation.
Respondents are require to think about the contingency of an
actual market existing for a programme or health benefit and to reveal
the maximum they would be willing to pay for such a programme or
benefit (Drummond et al, 1997).
- Essential, CV attempts to determine what respondents
would
be willing to pay for the outcomes of the proposed programme if they
were in an actual market place. It can be thought of as an attempt to
replace a missing market.
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Incremental cost-effectiveness
Data collected on costs and effects of an intervention can be
combined to obtain an incremental cost-effectiveness ratio (ICER).
This is performed by calculating the mean difference in costs
between the interventions and control group over the difference in
d=effect between the intervention and control group. This
provides us with the cost per additional unit effect gained fro the new
interventions relative to standard practice.
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This page was last updated September 2008.