| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1906362 | Experimental Gerontology | 2013 | 7 Pages |
•Medicare data is a powerful source for analyzing recovery and survival.•Most patients who stopped visiting doctors comprise a healthier subcohort.•Medicare-based data provide reliable estimates valid for the US elderly population.•Recovery rates are consistently evaluated using different Medicare-based data.•Survival of recovered patients is lower than survival of the general population.
ObjectivesConsidering disease incidence to be a main contributor to healthy lifespan of the US elderly population may lead to erroneous conclusions when recovery/long-term remission factors are underestimated. Using two Medicare-based population datasets, we investigated the properties of recovery from eleven age-related diseases.MethodsCohorts of patients who stopped visiting doctors during a five-year follow-up since disease onset were analyzed non-parametrically and using the Cox proportional hazard model resulted in estimated recovery and survival rates and evaluated the health state of recovered individuals by comparing their survival with non-recovered patients and the general population.ResultsRecovered individuals had lower death rates than non-recovered patients, therefore, patients who stopped visiting doctors are a healthier subcohort. However, they had higher death rates than in general population for all considered diseases, therefore the complete recovery does not occur.ConclusionProperties of recovery/long-term remission among the US population of older adults with chronic diseases were uncovered and evaluated. The results allow for a better quantifiable contribution of age-related diseases to healthy life expectancy and improving forecasts of health and mortality.
