Kirsten Hall Long1, Carin Smith2, Ronald Petersen2,3, Jane Emerson2, Jeanine Ransom2, Michelle M Mielke2,3, Steven Hass4, Cynthia Leibson2. 1. K Long Health Economics Consulting, LLC, St. Paul, Minnesota, USA. 2. Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA. 3. Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA. 4. Department of Health Economics and Outcomes Research, AbbVie, North Chicago, Illinois, USA.
Abstract
INTRODUCTION: Efforts to model the cost-effectiveness of managing/modifying cognitive impairment lack reliable, objective, baseline medical, and nursing-home (NH) costs. METHODS: A stratified-random sample of Olmsted County, MN, residents ages 70-89 years (N = 3545), well-characterized as cognitively unimpaired, mild cognitive impairment (MCI), or dementia, were followed forward ≤1 year in provider-linked billing data and the Centers for Medicare & Medicaid Services NH assessments. Direct medical/nursing home/medical + NH costs were estimated. Costs were stratified by vital status and NH-use intensity (NH days/follow-up days [0%, 1% to 24%, 25% to 99%, and 100%]). Between-category mean-annual cost differences were adjusted for patient characteristics and follow-up days. RESULTS: Costs/follow-up day distributions differed significantly across cognitive categories. Mean costs/follow-up days were 2.5 to 18 times higher for decedents versus survivors. Among all persons with MCI, <9% with any NH use accounted for 18% of all total annual medical + NH costs. Adjusted-between-category comparisons revealed significantly higher medical and medical + NH costs for MCI versus cognitively unimpaired. DISCUSSION: Cost-effectiveness for managing/modifying both MCI and dementia should consider end-of-life costs and NH-use intensity. Results can help inform cost-effectiveness models, predict future-care needs, and aid decision-making by individuals/providers/payers/policymakers.
INTRODUCTION: Efforts to model the cost-effectiveness of managing/modifying cognitive impairment lack reliable, objective, baseline medical, and nursing-home (NH) costs. METHODS: A stratified-random sample of Olmsted County, MN, residents ages 70-89 years (N = 3545), well-characterized as cognitively unimpaired, mild cognitive impairment (MCI), or dementia, were followed forward ≤1 year in provider-linked billing data and the Centers for Medicare & Medicaid Services NH assessments. Direct medical/nursing home/medical + NH costs were estimated. Costs were stratified by vital status and NH-use intensity (NH days/follow-up days [0%, 1% to 24%, 25% to 99%, and 100%]). Between-category mean-annual cost differences were adjusted for patient characteristics and follow-up days. RESULTS: Costs/follow-up day distributions differed significantly across cognitive categories. Mean costs/follow-up days were 2.5 to 18 times higher for decedents versus survivors. Among all persons with MCI, <9% with any NH use accounted for 18% of all total annual medical + NH costs. Adjusted-between-category comparisons revealed significantly higher medical and medical + NH costs for MCI versus cognitively unimpaired. DISCUSSION: Cost-effectiveness for managing/modifying both MCI and dementia should consider end-of-life costs and NH-use intensity. Results can help inform cost-effectiveness models, predict future-care needs, and aid decision-making by individuals/providers/payers/policymakers.
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