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Springer Series on Demographic Methods and Population Analysis

Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns

Publication ,  Chapter
Akushevich, I; Kravchenko, J; Arbeev, KG; Ukraintseva, SV; Land, KC; Yashin, AI
January 1, 2016

The tremendous research potential of U.S. Medicare data for evaluation of current, and forecasting of future, patterns of aging-related diseases among older U.S. adults remains largely unexplored. In this chapter, we present and discuss the results of a series of epidemiologic and biodemographic measures that can be studied using the Medicare Files of Service Use. Specifically, we present analyses of age patterns of disease incidence, their time trends, recovery and long-term remission after disease onsets, interdependence of multiple coexisting disease risks, mortality at advanced ages, and multimorbidity patterns. Empirical analyses, regression models, and methods of mathematical modeling are used to evaluate their characteristics. U.S. Medicare data serve as an example of Big Data that is a powerful source of information about current and historic health of older U.S. adults.

Duke Scholars

DOI

Publication Date

January 1, 2016

Volume

40

Start / End Page

47 / 93
 

Citation

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Akushevich, I., Kravchenko, J., Arbeev, K. G., Ukraintseva, S. V., Land, K. C., & Yashin, A. I. (2016). Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns. In Springer Series on Demographic Methods and Population Analysis (Vol. 40, pp. 47–93). https://doi.org/10.1007/978-94-017-7587-8_3
Akushevich, I., J. Kravchenko, K. G. Arbeev, S. V. Ukraintseva, K. C. Land, and A. I. Yashin. “Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns.” In Springer Series on Demographic Methods and Population Analysis, 40:47–93, 2016. https://doi.org/10.1007/978-94-017-7587-8_3.
Akushevich I, Kravchenko J, Arbeev KG, Ukraintseva SV, Land KC, Yashin AI. Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns. In: Springer Series on Demographic Methods and Population Analysis. 2016. p. 47–93.
Akushevich, I., et al. “Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns.” Springer Series on Demographic Methods and Population Analysis, vol. 40, 2016, pp. 47–93. Scopus, doi:10.1007/978-94-017-7587-8_3.
Akushevich I, Kravchenko J, Arbeev KG, Ukraintseva SV, Land KC, Yashin AI. Health Effects and Medicare Trajectories: Population-Based Analysis of Morbidity and Mortality Patterns. Springer Series on Demographic Methods and Population Analysis. 2016. p. 47–93.

DOI

Publication Date

January 1, 2016

Volume

40

Start / End Page

47 / 93