Medicare Utilization and Expenditures Around Incident Dementia in a Multiethnic Cohort

Journals of Gerontology - Series A Biological Sciences and Medical Sciences

Volumn 70, Issue 11, 2015, Pages 1448-1453

  Zhu, Carolyn W ^a   Cosentino, Stephanie ^b,c   Ornstein, Katherine ^a   Gu, Yian ^b,c   Scarmeas, Nikolaos ^b,c   Andrews, Howard ^d   Stern, Yaakov ^b,c  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^b Vagelos College of Physicians and Surgeons   (United States)

^c Department of Medicine   (United States)

^d Department of Medicine   (United States)

Author keywords

Health care expenditures; Health care use; Incident dementia; Longitudinal follow up; Medicare

Indexed keywords

AFRICAN AMERICAN; AGED; AMBULATORY CARE; CASE CONTROL STUDY; CAUCASIAN; COHORT ANALYSIS; DEMENTIA; ECONOMICS; ETHNOLOGY; FEMALE; HEALTH CARE COST; HISPANIC; HOSPITALIZATION; HUMAN; INCIDENCE; MALE; MEDICARE; SOCIOECONOMICS; STATISTICS AND NUMERICAL DATA; UNITED STATES; UTILIZATION; VERY ELDERLY;

AFRICAN AMERICANS; AGED; AGED, 80 AND OVER; AMBULATORY CARE; CASE-CONTROL STUDIES; COHORT STUDIES; DEMENTIA; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HEALTH EXPENDITURES; HISPANIC AMERICANS; HOSPITALIZATION; HUMANS; INCIDENCE; MALE; MEDICARE; SOCIOECONOMIC FACTORS; UNITED STATES;

EID: 84946574473     PISSN: 10795006     EISSN: 1758535X     Source Type: Journal    
DOI: 10.1093/gerona/glv124     Document Type: Article

References (33)

1. Alzheimer's Association. 2013 Alzheimer's disease facts and figures. Alzheimers Dement. 2013;9(2):208-245. doi:10.1016/j.jalz.2013.02.003
2. Small BJ, Backman L. Longitudinal trajectories of cognitive change in preclinical Alzheimer's disease: a growth mixture modeling analysis. Cortex. 2007;43:826-834.
3. Backman L. Memory and cognition in preclinical dementia: what we know and what we do not know. Can J Psychiatry. 2008;53:354-360.
4. Gaugler JE, Hovater M, Roth DL, Johnston JA, Kane RL, Sarsour K. Analysis of cognitive, functional, health service use, and cost trajectories prior to and following memory loss. J Gerontol B Psychol Sci Soc Sci. 2013;68:562-567.
5. Gaugler JE, Hovater M, Roth DL, Johnston JA, Kane RL, Sarsour K. Depressive, functional status, and neuropsychiatric symptom trajectories before an Alzheimer's disease diagnosis. Aging Ment Health. 2014;18:110-116. doi:10.1080/13607863.2013.814100
6. Albert SM, Glied S, Andrews H, Stern Y, Mayeux R. Primary care expenditures before the onset of Alzheimer's disease. Neurology. 2002;59:573-578.
7. Eisele M, van den Bussche H, Keller D, et al. Utilization patterns of ambulatory medical care before and after the diagnosis of dementia in Germany-results of a case-control study. Dement Geriatr Cogn Disord. 2010;29:475-483. doi:10.1159/000310350
8. Phelan EA, Borson S, Grothaus L, Balch S, Larson EB. Association of incident dementia with hospitalizations. JAMA. 2012;307:165-172. doi:10.1001/jama.2011.1964
9. Geldmacher DS, Kirson NY, Birnbaum HG, et al. Pre-diagnosis excess acute care costs in Alzheimer's patients among a US Medicaid population. Appl Health Econ Health Policy. 2013;11:407-413. doi:10.1007/s40258-013-0038-9
10. Suehs BT, Davis CD, Alvir J, et al. The clinical and economic burden of newly diagnosed Alzheimer's disease in a medicare advantage population. Am J Alzheimers Dis Other Demen. 2013;28:384-392. doi:10.1177/1533317513488911
11. Leibson C, Owens T, O'Brien P, et al. Use of physician and acute care services by persons with and without Alzheimer's disease: a population-based comparison. J Am Geriatr Soc. 1999;47:864-869.
12. Sloan FA, Taylor DH Jr. Effect of Alzheimer disease on the cost of treating other diseases. Alzheimer Dis Assoc Disord. 2002;16:137-143.
13. Bynum JP, Rabins PV, Weller W, Niefeld M, Anderson GF, Wu AW. The relationship between a dementia diagnosis, chronic illness, medicare expenditures, and hospital use. J Am Geriatr Soc. 2004;52:187-194.
14. Lin PJ, Kaufer DI, Maciejewski ML, Ganguly R, Paul JE, Biddle AK. An examination of Alzheimer's disease case definitions using Medicare claims and survey data. Alzheimers Dement. 2010;6:334-341. doi:10.1016/j. jalz.2009.09.001
15. Zhao Y, Kuo TC, Weir S, Kramer MS, Ash AS. Healthcare costs and utilization for Medicare beneficiaries with Alzheimer's. BMC Health Serv Res. 2008;8:108. doi:10.1186/1472-6963-8-108
16. Newcomer R, Clay T, Luxenberg JS, Miller RH. Misclassification and selection bias when identifying Alzheimer's disease solely from Medicare claims records. J Am Geriatr Soc. 1999;47:215-219.
17. Fillit H, Geldmacher DS, Welter RT, Maslow K, Fraser M. Optimizing coding and reimbursement to improve management of Alzheimer's disease and related dementias. J Am Geriatr Soc. 2002;50:1871-1878.
18. Taylor DH Jr, Fillenbaum GG, Ezell ME. The accuracy of medicare claims data in identifying Alzheimer's disease. J Clin Epidemiol. 2002;55:929-937.
19. Ostbye T, Taylor DH Jr, Clipp EC, Scoyoc LV, Plassman BL. Identification of dementia: agreement among national survey data, medicare claims, and death certificates. Health Serv Res. 2008;43(1 Pt 1):313-326. doi:10.1111/j.1475-6773.2007.00748.x
20. Taylor DH Jr, Ostbye T, Langa KM, Weir D, Plassman BL. The accuracy of Medicare claims as an epidemiological tool: the case of dementia revisited. J Alzheimers Dis. 2009;17:807-815. doi:10.3233/JAD-2009-1099
21. Tang MX, Stern Y, Marder K, et al. The APOE-epsilon4 allele and the risk of Alzheimer disease among African Americans, whites, and Hispanics. JAMA. 1998;279:751-755.
22. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology. 1984;34:939-944.
23. Stern Y, Andrews H, Pittman J, et al. Diagnosis of dementia in a heterogeneous population. Development of a neuropsychological paradigm-based diagnosis of dementia and quantified correction for the effects of education. Arch Neurol. 1992;49:453-460.
24. Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43:2412-2414.
25. Parsons LS. Using SAS® Software to perform a case-control match on propensity score in an observational study. Paper 225-25. Paper presented at: Proceedings of the Twenty-Fifth Annual SAS Users Group International Conference. Proceedings of the Twenty-Fifth Annual SAS. Users Group International Conference 2000; SAS Institute Inc., Cary, NC.
26. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28:3083-3107. doi:10.1002/sim.3697
27. Charlson ME, Charlson RE, Peterson JC, Marinopoulos SS, Briggs WM, Hollenberg JP. The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J Clin Epidemiol. 2008;61:1234-1240. doi:10.1016/j.jclinepi.2008.01.006
28. Blessed G, Tomlinson BE, Roth M. The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects. Br J Psychiatry. 1968;114:797-811.
29. Cosentino S, Scarmeas N, Helzner E, et al. APOE epsilon 4 allele predicts faster cognitive decline in mild Alzheimer disease. Neurology. 2008;70(19 Pt 2):1842-1849. doi:10.1212/01.wnl.0000304038.37421.cc
30. Bureau of Labor Statistics. Consumer price index. 2012. http://www.bls.gov/cpi/home.htm. Accessed May 15, 2015.. doi:10.1093/geronb/gbs078
31. Ai C, Norton EC. Interaction terms in logit and probit models. Economics Letters. 2003;80(1):123-129.
32. Buis ML. Stata tip 87: Interpretation of interactions in nonlinear models. The Stata Journal. 2010;10(2):305-308.
33. Mold JW, Hamm RM, Jafri B. The effect of labeling on perceived ability to recover from acute illnesses and injuries. J Fam Pract. 2000;49:437-440.