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Impact of nine chronic conditions for US adults aged 65 years and older: an application of a hybrid estimator of quality-adjusted life years throughout remainder of lifetime

Overview of attention for article published in Quality of Life Research, January 2016
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Title
Impact of nine chronic conditions for US adults aged 65 years and older: an application of a hybrid estimator of quality-adjusted life years throughout remainder of lifetime
Published in
Quality of Life Research, January 2016
DOI 10.1007/s11136-016-1226-5
Pubmed ID
Authors

Haomiao Jia, Erica I. Lubetkin

Abstract

To estimate quality-adjusted life years (QALY) loss due to each of the following nine chronic conditions-depression, diabetes mellitus, hypertension, heart disease, stroke, emphysema, asthma, arthritis, and cancer. We ascertained respondents' health-related quality of life scores and mortality status from the 2005 to 2008 National Health and Nutrition Examination Survey (NHANES) with mortality follow-up data through December 31, 2011. We included respondents aged 65 years and older (n = 2380). A hybrid estimator was used to calculate QALY from two parts: QALY during the follow-up period and QALY beyond the follow-up period. We calculated QALY by each of the nine chronic conditions. For persons aged 65 and older, QALY throughout the reminder of lifetime was 12.3 years. After adjusting for age- and sex-related differences, depression had an associated 8.2 years of QALY loss; diabetes, 5.6 years; hypertension, 2.5 years; heart disease, 5.4 years; stroke, 6.4 years; emphysema, 8.0 years; asthma, 4.8 years; arthritis, 0.3 years; and cancer, 2.5 years. Compared to persons without any chronic conditions, persons with one condition had an associated 4.7 years of QALY loss; persons with two conditions, 7.9 years; and persons with three or more conditions, 10.8 years. This study presents a QALY estimator for respondents in the NHANES-Linked Mortality File and demonstrates the utility of this method to other follow-up data. Continued application of our method would enable the burden of disease to be compared for a range of health conditions and risk factors in the ongoing effort to improve population health.

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Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 15%
Student > Ph. D. Student 10 13%
Researcher 9 12%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Other 16 21%
Unknown 18 23%
Readers by discipline Count As %
Medicine and Dentistry 19 24%
Psychology 12 15%
Nursing and Health Professions 9 12%
Social Sciences 5 6%
Economics, Econometrics and Finance 3 4%
Other 8 10%
Unknown 22 28%