Analysis of Longitudinal Claims Databases (R1 Part A): Aging Trajectories of Chronic Disease, Psychological Morbidity, and Mortality, United States (ICPSR 38530)
Version Date: Aug 26, 2022 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
Elham Mahmoudi, University of Michigan. Department of Family Medicine;
Mark D. Peterson, University of Michigan. Department of Physical Medicine and Rehabilitation
Series:
Version V1 (see more versions)
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Summary View help for Summary
The Analysis of Longitudinal Claims Databases (R1 Part A): Aging Trajectories of Chronic Disease, Psychological Morbidity, and Mortality, United States is the first of a three-part project that examined claims data from Medicare, Medicaid, and/or Optum databases to explore aging trajectories, use of preventative services, and healthcare outcomes for individuals with several types of physical disabilities.
There is a well-established interrelationship between access to healthcare and the age-related co-occurrence of two or more chronic conditions, adverse health events, and cost of care among people with a physical disability (PWPD). However, the extent to which health outcomes and healthcare costs interact with a wide range of social factors, including type and depth of insurance coverage, has received little attention. There is also scarce evidence regarding the aging trajectories of chronic diseases and psychological conditions among PWPD, as well as how these factors contribute to healthcare costs and adverse health events, including early mortality. Three specific aims guide this research investigation:
- Determine the longitudinal trends of cardiometabolic diseases, the age-related co-occurrence of two or more chronic conditions (or multimorbidity), diagnosed physiological conditions, and musculoskeletal diseases common among individuals diagnosed with a physical disability ordered by type of insurance (public vs. private).
- Identify the independent and joint contributions of medical factors (e.g., age, multimorbidity, disease severity, etc.) and social and environmental factors (e.g., income, education, and insurance) on adverse health events (including mortality), healthcare use, and costs.
- Quantify how changes in medical and social factors predict or facilitate adverse health events and healthcare costs among individuals with specific diagnoses of physical disabilities.