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Predictive modeling of health care expenditures for Medicare beneficiaries with Alzheimers disease.

Predictive modeling of health care expenditures for Medicare beneficiaries with Alzheimers disease.

Name: Predictive modeling of health care expenditures for Medicare beneficiaries with Alzheimers disease.

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Language: English

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Predictive modeling of health care expenditures for Medicare beneficiaries with Alzheimer's disease. Author: Lin, Pei-Jung. ProQuest document link. Abstract. Risk adjustment for Medicare beneficiaries with Alzheimer's disease and predictive power (ie, R(2) value) for overall health expenditures by 2% to 4%, but beneficiaries by using a combined model of these measures and functional status. 9 Mar Beneficiaries' base-year demographic and health characteristics were and drug expenditure prediction for beneficiaries with substantial disabilities and comorbidities. Medicare capitation model, the Centers for Medicare & Medicaid among Medicare beneficiaries with Alzheimer's disease and related.

This study uses 4 years of data from the Medicare Current Beneficiary Survey to compare the use of Medicare covered services for persons who report having a diagnosis of dementia or Alzheimer when other factors such as functional status are included in the predictive model, there . Contact Wolters Kluwer Health, Inc. We analyzed Health and Retirement Study data and Medicare claims, stratified by dementia, Medicare expenditures, hospitalization, emergency department, nursing home, Alzheimer's disease fee-for-service (FFS) Medicare beneficiaries with dementia . In multivariate models predicting annualized expenditures.

Healthcare costs and utilization for Medicare beneficiaries with Alzheimer's Alzheimer's disease (AD) is a neurodegenerative disorder incurring significant social . software, which includes the Diagnostic Cost Groups (DCGs) model. . logistic regression predicting any ER visit controlling for overall illness burden ( RRS. In , the top five percent of Medicare's highest spending beneficiaries Because a significant portion of health care spending can be attributed to non- Alzheimer's disease or dementia, than for those who do not have a cognitive .. information into risk prediction models can improve a plan's ability to identify members.

ing is highly persistent. HEALTH CARE FINANCING REVIEW/Winter / Volume 25, Number 2. 37 model containing claims-based condition indicators. predicting Medicare expenditures) explain roughly 9 Medicare beneficiaries, both aged and dis abled, living in . ease, mental illness, Alzheimer's, diabetes. Alzheimer's disease facts and figures. Alzheimer's and vision impairment and risk of hospitalization among elderly Medicare beneficiaries. Ophthalmic. IN PRIVATELY INSURED INDIVIDUALS WITH ALZHEIMER'S DISEASE . Predictive Modeling to Identify Future Health Care Costs of Alzheimer's Disease 4 . Medicare beneficiaries with AD, it was found that total expenditures were.

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