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Using Medicare claims in identifying Alzheimer’s disease and related dementias
dc.contributor.authorJain, Siddharth
dc.contributor.authorRosenbaum, Paul R.
dc.contributor.authorReiter, Joseph G.
dc.contributor.authorHoffman, Geoffrey
dc.contributor.authorSmall, Dylan S.
dc.contributor.authorHa, Jinkyung
dc.contributor.authorHill, Alexander S.
dc.contributor.authorWolk, David A.
dc.contributor.authorGaulton, Timothy
dc.contributor.authorNeuman, Mark D.
dc.contributor.authorEckenhoff, Roderic G.
dc.contributor.authorFleisher, Lee A.
dc.contributor.authorSilber, Jeffrey H.
dc.date.accessioned2021-04-06T02:14:30Z
dc.date.available2022-04-05 22:14:28en
dc.date.available2021-04-06T02:14:30Z
dc.date.issued2021-03
dc.identifier.citationJain, Siddharth; Rosenbaum, Paul R.; Reiter, Joseph G.; Hoffman, Geoffrey; Small, Dylan S.; Ha, Jinkyung; Hill, Alexander S.; Wolk, David A.; Gaulton, Timothy; Neuman, Mark D.; Eckenhoff, Roderic G.; Fleisher, Lee A.; Silber, Jeffrey H. (2021). "Using Medicare claims in identifying Alzheimer’s disease and related dementias." Alzheimer’s & Dementia 17(3): 515-524.
dc.identifier.issn1552-5260
dc.identifier.issn1552-5279
dc.identifier.urihttps://hdl.handle.net/2027.42/167116
dc.description.abstractIntroductionThis study develops a measure of Alzheimer’s disease and related dementias (ADRD) using Medicare claims.MethodsValidation resembles the approach of the American Psychological Association, including (1) content validity, (2) construct validity, and (3) predictive validity.ResultsWe found that four items—a Medicare claim recording ADRD 1 year ago, 2 years ago, 3 years ago, and a total stay of 6 months in a nursing home—exhibit a pattern of association consistent with a single underlying ADRD construct, and presence of any two of these four items predict a direct measure of cognitive function and also future claims for ADRD.DiscussionOur four items are internally consistent with the measurement of a single quantity. The presence of any two items do a better job than a single claim when predicting both a direct measure of cognitive function and future ADRD claims.
dc.publisherSage Publications, Inc
dc.publisherWiley Periodicals, Inc.
dc.subject.otherAlzheimer’s disease
dc.subject.otherAlzheimer’s disease and related dementias
dc.subject.otherdementia
dc.subject.otherhealth and retirement study
dc.subject.otherMedicare
dc.subject.otherMedicare claims
dc.subject.othercognitive impairment
dc.subject.otheradministrative data
dc.titleUsing Medicare claims in identifying Alzheimer’s disease and related dementias
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelNeurology and Neurosciences
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/167116/1/alz12199_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/167116/2/alz12199.pdf
dc.identifier.doi10.1002/alz.12199
dc.identifier.sourceAlzheimer’s & Dementia
dc.identifier.citedreferencePressley JC, Trott C, Tang M, Durkin M, Stern Y. Dementia in community‐dwelling elderly patients: a comparison of survey data, medicare claims, cognitive screening, reported symptoms, and activity limitations. J Clin Epidemiol. 2003; 56: 896 ‐ 905.
dc.identifier.citedreferenceRosenbaum PR. Criterion‐related construct validity. Psychometrika. 1989; 54: 625 ‐ 633.
dc.identifier.citedreferenceRosenbaum PR. Testing the conditional independence and monotonicity assumptions of item response theory. Psychometrika. 1984; 49: 425 ‐ 435.
dc.identifier.citedreferenceStout W. Nonparametric item response theory: a maturing and applicable measurement modeling approach. Appl Psychol Meas. 2001; 25: 300 ‐ 306.
dc.identifier.citedreferenceMolenaar IW. Thirty years of nonparametric item response theory. Appl Psychol Meas. 2001; 25: 295 ‐ 299.
dc.identifier.citedreferenceJunker BW, Sijtsma K. Nonparametric item response theory in action: an overview of the special issue. Appl Psychol Meas. 2001; 25: 211 ‐ 220.
dc.identifier.citedreferenceJunker BW, Sijtsma K. Latent and manifest monotonicity in item response models. Appl Psychol Meas. 2000; 24: 65 ‐ 81.
dc.identifier.citedreferenceTaylor 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.
dc.identifier.citedreferenceChronic Conditions Data Warehouse. Condition Categories. 2017. https://www.ccwdata.org/web/guest/condition-categories. Accessed November 29, 2017.
dc.identifier.citedreferenceLee E, Gatz M, Tseng C, et al. Evaluation of Medicare claims data as a tool to identify dementia. J Alzheimers Dis. 2019; 67: 769 ‐ 778.
dc.identifier.citedreferenceDesai U, Kirson NY, Ye W, Mehta NR, Wen J, Andrews JS. Trends in health service use and potentially avoidable hospitalizations before Alzheimer’s disease diagnosis: a matched, retrospective study of US Medicare beneficiaries. Alzheimers Dement (Amst). 2019; 11: 125 ‐ 135.
dc.identifier.citedreferenceChen Y, Tysinger B, Crimmins E, Zissimopoulos JM. Analysis of dementia in the US population using Medicare claims: insights from linked survey and administrative claims data. Alzheimers Dement (N Y). 2019; 5: 197 ‐ 207.
dc.identifier.citedreferenceRosenbaum PR. Item bundles. Psychometrika. 1988; 53: 349 ‐ 359.
dc.identifier.citedreferenceGaugler JE, Yu F, Davila HW, Shippee T. Alzheimer’s disease and nursing homes. Health Aff (Millwood). 2014; 33: 650 ‐ 657.
dc.identifier.citedreferenceWhite L, Fishman P, Basu A, Crane PK, Larson EB, Coe NB. Medicare expenditures attributable to dementia. Health Serv Res. 2019; 54: 773 ‐ 781.
dc.identifier.citedreferenceZhu CW, Ornstein KA, Cosentino S, Gu Y, Andrews H, Stern Y. Misidentification of dementia in Medicare claims and related costs. J Am Geriatr Soc. 2019; 67: 269 ‐ 276.
dc.identifier.citedreferenceMatthews KA, Xu W, Gaglioti AH, et al. Racial and ethnic estimates of Alzheimer’s disease and related dementias in the United States (2015‐2060) in adults aged >/=65 years. Alzheimers Dement. 2019; 15: 17 ‐ 24.
dc.identifier.citedreferenceDutcher SK, Rattinger GB, Langenberg P, et al. Effect of medications on physical function and cognition in nursing home residents with dementia. J Am Geriatr Soc. 2014; 62: 1046 ‐ 1055.
dc.identifier.citedreferenceResearch Data Assistance Center. Long term care minimum data sets (MDS) ‐ Swing‐bed 2.0. https://www.resdac.org/cms-data/files/mds-sb-2.0. Accessed July 26, 2019.
dc.identifier.citedreferenceMorris JN, Fries BE, Mehr DR, et al. MDS Cognitive Performance Scale. J Gerontol. 1994; 49: M174 ‐ M182.
dc.identifier.citedreferenceCenter for Medicare & Medicaid Services. Nursing Home Quality Initiative MDS 2.0. Last Update Date: 03/06/2015. https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/NursingHomeQualityInits/NHQIMDS20.html. Accessed July 8, 2019.
dc.identifier.citedreferenceInstitute for Social Research, University of Michigan. Health and Retirement Study. Data Products. 2019. https://hrs.isr.umich.edu/data-products. Accessed July 8, 2019.
dc.identifier.citedreferenceBrandt J, Spencer M, Folstein MF. The telephone interview for cognitive status. Neuropsychiatry Neuropsychol Behav Neurol. 1988; 7: 111 ‐ 117.
dc.identifier.citedreferenceOfstedal MB, Fisher GG, Herzog AR. Documentation of cognitive functioning measures in the health and retirement study. HRS Documentation Report DR‐006. HRS Documentation Report DR‐006. Ann Arbor, MI: Survey Research Center, University of Michigan; 2005. http://hrsonline.isr.umich.edu/sitedocs/userg/dr-006.pdf. Accessed April 27, 2016.
dc.identifier.citedreferenceCrimmins EM, Kim JK, Langa KM, Weir DR. Assessment of cognition using surveys and neuropsychological assessment: the Health and Retirement Study and the Aging, Demographics, and Memory Study. J Gerontol B Psychol Sci Soc Sci. 2011; 66 ( Suppl 1 ): i162 ‐ i71.
dc.identifier.citedreferenceCox DR. Regression models and life‐tables. J R Stat Soc B. 1972; 34: 187 ‐ 220.
dc.identifier.citedreferenceGoodman LA, Kruskal WH. Measures of association for cross classifications. J Am Stat Assoc. 1954; 49: 732 ‐ 764.
dc.identifier.citedreferenceHerzog AR, Wallace RB. Measures of cognitive functioning in the AHEAD Study. J Gerontol B Psychol Sci Soc Sci. 1997; 52 Spec No: 37 ‐ 48.
dc.identifier.citedreferenceFreedman VA, Aykan H, Martin LG. Aggregate changes in severe cognitive impairment among older Americans: 1993 and 1998. J Gerontol B Psychol Sci Soc Sci. 2001; 56: S100 ‐ 11.
dc.identifier.citedreferenceSuthers K, Kim JK, Crimmins E. Life expectancy with cognitive impairment in the older population of the United States. J Gerontol B Psychol Sci Soc Sci. 2003; 58: S179 ‐ 86.
dc.identifier.citedreferenceLievre A, Alley D, Crimmins EM. Educational differentials in life expectancy with cognitive impairment among the elderly in the United States. J Aging Health. 2008; 20: 456 ‐ 477.
dc.identifier.citedreferenceDavydow DS, Levine DA, Zivin K, Katon WJ, Langa KM. The association of depression, cognitive impairment without dementia, and dementia with risk of ischemic stroke: a cohort study. Psychosom Med. 2015; 77: 200 ‐ 208.
dc.identifier.citedreferenceLin 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.
dc.identifier.citedreferenceYang Z, Zhang K, Lin PJ, Clevenger C, Atherly A. A longitudinal analysis of the lifetime cost of dementia. Health Serv Res. 2012; 47: 1660 ‐ 1678.
dc.identifier.citedreferenceVu TT, Zhao L, Liu L, et al. Favorable cardiovascular health at young and middle ages and dementia in older age‐The CHA Study. J Am Heart Assoc. 2019; 8: e009730.
dc.identifier.citedreferenceYashkin AP, Akushevich I, Ukraintseva S, Yashin A. The effect of adherence to screening guidelines on the risk of Alzheimer’s Disease in elderly individuals newly diagnosed with type 2 diabetes mellitus. Gerontol Geriatr Med. 2018; 4: 1 ‐ 9.
dc.identifier.citedreferenceAmjad H, Roth DL, Sheehan OC, Lyketsos CG, Wolff JL, Samus QM. Underdiagnosis of dementia: an observational study of patterns in diagnosis and awareness in US older adults. J Gen Intern Med. 2018; 33: 1131 ‐ 38.
dc.identifier.citedreferenceHebert LE, Weuve J, Scherr PA, Evans DA. Alzheimer disease in the United States (2010‐2050) estimated using the 2010 census. Neurology. 2013; 80: 1778 ‐ 1783.
dc.identifier.citedreferenceRocca WA, Petersen RC, Knopman DS, et al. Trends in the incidence and prevalence of Alzheimer’s disease, dementia, and cognitive impairment in the United States. Alzheimers Dement. 2011; 7: 80 ‐ 93.
dc.identifier.citedreferenceOstbye 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: 313 ‐ 326.
dc.identifier.citedreferenceAkushevich I, Yashkin AP, Kravchenko J, Ukraintseva S, Stallard E, Yashin AI. Time trends in the prevalence of neurocognitive disorders and cognitive impairment in the United States: The effects of disease severity and improved ascertainment. J Alzheimers Dis. 2018; 64: 137 ‐ 148.
dc.identifier.citedreferenceTaylor DHJ, Fillenbaum GG, Ezell ME. The accuracy of Medicare claims data in identifying Alzheimer’s disease. J Clin Epidemiol. 2002; 55: 929 ‐ 937.
dc.identifier.citedreferenceMessick S. Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. Am Psycol. 1995; 50: 741 ‐ 749.
dc.identifier.citedreferenceCampbell DT. Recommendations for APA test standards regarding construct, trait, or discriminant validity. Am Psycol. 1960; 15: 546 ‐ 553.
dc.identifier.citedreferenceSechrest L. Validity of measures is no simple matter. Health Serv Res. 2005; 40: 1584 ‐ 1604.
dc.identifier.citedreferenceSijtsma K, Molenaar IW. Introduction to Nonparametric Item Response Theory. Jaeger RM, ed. Vol. 5. Thousand Oaks, CA: Sage Publications, Inc.; 2002.
dc.identifier.citedreferenceHolland PW, Rosenbaum PR. Conditional association and unidimensionality in monotone latent variable models. Ann Stat. 1986; 14: 1523 ‐ 1543.
dc.working.doiNOen
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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