Learn how other researchers have used our CMS data to publish papers in high-impact journals.
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For this project, we used a sample of decedents from the 2000-2012 Health and Retirement Study to understand the trajectories of functional decline of older adults with dementia near the EOL, and how these trajectories differ from those of people without dementia. In addition, we examined whether and how these trajectories vary by other patient characteristics such as demographics, comorbidities, and access to caregiving.
Broyles, I., Huebeler, A., Dave, I., Graf, E., Li, Q., Palmer, L., Feng, Z., and Karon, S.
Office of the Assistant Secretary for Planning and Evaluation (ASPE), Department of Health and Human Services (HHS)
2020
For this project, we used a sample of decedents from the 2000-2012 Health and Retirement Study to understand the trajectories of functional decline of older adults with dementia near the EOL, and how these trajectories differ from those of people without dementia. In addition, we examined whether and how these trajectories vary by other patient characteristics such as demographics, comorbidities, and access to caregiving.
Broyles, I., Huebeler, A., Dave, I., Graf, E., Li, Q., Palmer, L., Feng, Z., and Karon, S.
Office of the Assistant Secretary for Planning and Evaluation (ASPE), Department of Health and Human Services (HHS)
2020
Background: Capturing frailty within administrative claims data may help to identify high-risk patients and inform population health management strategies. Although it is common to ascertain frailty status utilizing claims-based surrogates (e.g. diagnosis and health service codes) selected according to clinical knowledge, the accuracy of this approach has not yet been examined. We evaluated the accuracy of claims-based surrogates against two clinical definitions of frailty.
Festa, N., Shi, S., and Kim, D.
BMC Geriatrics
2020
Background: There has been increasing effort to measure frailty in the U.S. Medicare data. The performance of claims-based frailty measures has not been compared.
Kim, D., Patorno, E., Pawar, A., Lee, H., Schneeweiss, S., and Glynn, R.
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
2020
Background: A claims-based frailty index (CFI) was developed based on a deficit-accumulation approach using self-reported health information. This study aimed to independently validate the CFI against physical performance and adverse health outcomes.
Kim, D., Glynn, R., Avorn, J., Lipsitz, L., Rockwood, K., Pawar, A., and Schneeweiss, S.
Journals of Gerontology Series A: Biological Sciences and Medical Sciences
2019
Objective(s): To create and test three prospective, increasingly restrictive definitions of serious illness.
Kelley, A. S., Covinsky, K. E., Gorges, R. J., McKendrick, K., Bollens-Lund, E., Morrison, R. S., & Ritchie, C. S.
Health Services Research
2017
Objective(s): To assess the impact of disability and social determinants of health on condition-specific readmissions beyond current risk adjustment.
Meddings, J., Reichert, H., Smith, S. N., Iwashyna, T. J., Langa, K. M., Hofer, T. P., & McMahon, L. F.
Journal of General Internal Medicine
2017
Objective(s): To measure out-of-pocket (OOP) costs incurred by Medicare beneficiaries with cancer and identify which factors and services contribute to high OOP costs.
Narang, A. K., & Nicholas, L. H.
JAMA Oncology
2017
Objective(s): The objective of this study was to determine the association between patients' use of life-sustaining procedures at the end of life and depressive symptoms in their surviving spouses.
Ornstein, K. A., Aldridge, M. D., Garrido, M. M., Gorges, R. J., Bollens-Lund, E., Siu, A. L., . . . Kelley, A. S.
Journal of Pain and Symptom Management
2017
Objective(s): The objective was to identify specific combinations of chronic conditions, functional limitations, and geriatric syndromes associated with direct medical costs and inpatient utilization.
Schiltz, N. K., Jr., D. F. W., Sun, J., Bakaki, P. M., Dor, A., Given, C. W., . . . Koroukian, S. M.
Medical Care
2017
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