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The values from the 1,000 means (each from 1,000 patients) of incremental costs and incremental effectiveness (in terms of quality-adjusted life expectancy) were used to generate a scatter plot on the cost-effectiveness plane.
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Most TTO studies use a 10- or 20-year time frame [ 2], less often actuarial life expectancy is used [ 18, 19], and sometimes respondents' own life expectation is used [ 20– 20].
In general the responsiveness was found to be higher when life expectancy was used instead of infant mortality as proxy of health status improvement.
As the base-case, 'standard' life expectancy was used to calculate DALYs.
Life expectancy was used as the time frame since it was shown to be more meaningful to the participant [ 45] and to lead to less loss aversion [ 46].
These age-specific sex differentials in life expectancy are used to determine if there is any pattern of change consistent with these predictions from the health transition perspective.
Life expectancy was used as the summary measure of mortality, TFR as the summary measure of fertility and net migration of migration.
Criteria such as death reduction, increase in lifespan, reduction of diseases, and increase in quality-of-life and life expectancy are used to assess health status.
For this trial a modified question of the Credibility/Expectancy Questionnaire (CEQ), developed by Deviliya and Borkovecb [ 116], to measure patients' expectancies is used.
For example, when life-expectancy is used as a measure of health status in a country, it may misleadingly be interpreted as a sign of resilience because of an apparent reduced sensitivity in the population.
Separate male and female mortality and life expectancy tables were used to calculate sex-specific YLL values and were combined for an overall YLL.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com