Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2022 Sep 1.
Published in final edited form as: J Am Geriatr Soc. 2021 Apr 30;69(9):2672–2675. doi: 10.1111/jgs.17201

Changes in the agreement between the Minimum Data Set and hospital Medicare claims measures of dementia

Cassandra L Hua a,*, Kali S Thomas a,b, Jennifer Bunker c, Pedro L Gozalo a,b, Joan M Teno c
PMCID: PMC8440407  NIHMSID: NIHMS1721813  PMID: 33929724

Introduction

Previous research shows that Medicare claim measures of dementia based on International Classification of Disease (ICD) coding lack sensitivity, especially for men, younger adults, and racial/ethnic minorities.16 One study found that the validity of the dementia measure based on Medicare claims data increased between 2006 to 2012 and that racial/ethnic differences narrowed over time.1 No research to our knowledge has examined trends in the validity of hospital Medicare documentation of dementia since 2012. The validity may have changed due to increased recognition of dementia, changes from ICD-9 to ICD-10 diagnosis codes, and changes in payment related to disease severity in Medicare Advantage plans.7 The objective of this study was to examine the agreement between a clinical Minimum Data Set measure of dementia and a diagnosis of dementia documented on a hospital claim across three points in time. A second objective was to examine the extent to which the agreement varied by age, sex, and race/ethnicity.

Methods

This study linked national Minimum Data Set (MDS) assessments with the Medicare Provider Analysis and Review (MedPAR) file from 2012–2017. The MDS is a federally mandated patient assessment conducted upon admission to a nursing home and then at least quarterly.8 In order to be classified as having an MDS-based diagnosis of dementia, individuals had documentation of dementia and a score of 2 or higher (indicating at least mild cognitive impairment) on the Cognitive Function Scale (CFS).8

All acute care hospitalizations among individuals with an MDS assessment completed within 120 days prior to the index hospitalization between 2012–2017 were identified (n=10,249,356). We limited our sample to hospitalizations from individuals with an MDS-based diagnosis of dementia, who were not comatose, and who were white, Black, Asian, or Hispanic given the small sample sizes of other racial/ethnic groups.

Using the MDS documentation of dementia as a reference standard, we reported the percent of hospitalizations with a dementia diagnosis noted on the corresponding claim based on ICD-9 or ICD-10 diagnosis codes between years 2012–2017 by age, sex, and race/ethnicity. Additional information about the data and methods used for these analyses can be found in the Brown Digital Repository.

Results

A total of 1,273,348 individuals with dementia as defined in the MDS experienced 2,251,749 hospitalizations between the years 2012 and 2017. When the MDS noted dementia in 2012, 76.9% of hospitalizations had dementia documented on the Medicare claim (Table 1). The agreement increased to 86.3% in 2017. The agreement between the two measures of dementia differed by age: in 2017, 79.2% of hospital claims for patients aged 66–74 had a diagnosis of dementia compared to older age categories that had dementia noted in over 85% of records. Women were slightly more likely to have a diagnosis of dementia documented in the Medicare hospital claims data. Compared to white patients, Asian patients were less likely to have a diagnosis of dementia noted. Approximately 84.2% of hospital records from Asian patients had a diagnosis of dementia compared to 86.6% of records from white patients.

Table 1.

Agreement between a dementia diagnosis on the Minimum Data Set and hospital Medicare claim among hospitalized individuals with dementia, over time

Year 2012 Year 2014 Year 2017
Number of hospitalizations among individuals with an MDS diagnosis of dementia Diagnosis present on hospital claim (%) Number of hospitalizations among individuals with an MDS diagnosis of dementia Diagnosis present on hospital claim (%) Number of hospitalizations among individuals with an MDS diagnosis of dementia Diagnosis present on hospital claim (%)
Total population 437,921 76.9 369,193 83.1 343,958 86.3
Age group
 66–75 64,281 69.0 57,473 74.8 58,751 79.2
 76–85 175,782 77.3 145,416 83.5 136,745 86.6
 86–95 197,858 79.0 166,304 85.6 152,730 86.3
Sex
 Male 161,442 75.5 140,232 81.7 137,336 85.1
 Female 276,479 77.6 228,961 83.9 213,003 86.9
Race
 White 344,996 77.5 288,351 83.5 267,010 86.6
 Black 72,666 75.0 62,967 81.9 59,176 85.3
 Asian 7,378 71.9 6,693 80.7 7,279 84.2
 Hispanic 12,881 74.8 11,182 81.2 10,493 85.0

Notes: Data came from the 2012, 2014, and 2017 inpatient MedPAR file and the MDS. Hospitalizations occurred within 120 days of an MDS assessment. In the MDS, dementia was defined based on a diagnosis of dementia and a Cognitive Function Scale score of at least 2. The hospital diagnosis of dementia was defined based on an ICD-9 or ICD-10 code.

Discussion

The overall increase in the accuracy of hospital claims may indicate that clinicians are recognizing dementia at higher rates in this setting. The remaining lack of documentation may be caused by physicians attributing cognitive problems to “normal aging” or prioritizing the documentation of physical ailments.9 Overall, there are encouraging signs that the gaps across age and race groups have narrowed over time; they do persist and warrant further attention. Hospital claims of patients aged 66–75 were less likely to be accurate than other age groups, which is consistent with previous studies1,3 and suggests physicians do not always look for signs of dementia in younger adults. Our study also found that Asian patients were less likely to have a diagnosis of dementia documented during the hospitalization, which could be related to language barriers between patients and clinicians.

Our sample consisted entirely of hospital claims that had a preceding nursing home stay, which limits generalizability to other populations. We also used the MDS assessments as the reference standard. Although the MDS includes a validated measure of cognitive function, there could be remaining measurement error.

Older adults with dementia have medical needs that differ from individuals without dementia and require targeted care.10 Improved screening efforts may improve documentation of dementia diagnosis during a hospital stay and potentially improve medical decision making. Future research should also consider how the bias in using the Medicare diagnosis of dementia in hospital claims may affect findings regarding the medical care and health care costs of individuals with dementia.

Acknowledgements

We would like to thank Robert Wolf for his assistance assembling the dataset. This research was funded by a National Institute on Aging (NIA) Program Project Grant no. (2P01AG027296-11), the Veterans Health Administration (CDA 14-422), and the AHRQ T32 training grant (T32HS000011). The funder had no role in the design or interpretation of the results. Brown University Institutional Review Board approved the study.

Footnotes

Conflict of Interest

We have no conflicts of interest to disclose.

Sponsor’s Role

Sponsors had no input into this manuscript

References

  • 1.Chen 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. Published 2019 Jun 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Taylor DH Jr, Østbye 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(4):807–15. doi: 10.3233/JAD-2009-1099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Zhu Y, Chen Y, Crimmins EM, Zissimopoulos JM. Sex, Race, and Age Differences in Prevalence of Dementia in Medicare Claims and Survey Data [published online ahead of print, 2020 Jun 26]. J Gerontol B Psychol Sci Soc Sci. 2020;gbaa083. doi: 10.1093/geronb/gbaa083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lee E, Gatz M, Tseng C, Schneider LS, Pawluczyk S, Wu AH, Deapen D. Evaluation of Medicare Claims Data as a Tool to Identify Dementia. J Alzheimers Dis. 2019;67(2):769–778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Amjad 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. 2018July;33(7):1131–1138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zhu CW, Ornstein KA, Cosentino S, Gu Y, Andrews H, Stern Y. Misidentification of Dementia in Medicare Claims and Related Costs. J Am Geriatr Soc. 2019February;67(2):269–276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kronick R Projected Coding Intensity In Medicare Advantage Could Increase Medicare Spending By $200 Billion Over Ten Years. Health Aff (Millwood). 2017;36(2):320–327. doi: 10.1377/hlthaff.2016.0768 [DOI] [PubMed] [Google Scholar]
  • 8.Thomas KS, Dosa D, Wysocki A, Mor V. The Minimum Data Set 3.0 Cognitive Function Scale. Med Care. 2017;55(9):e68–e72. doi: 10.1097/MLR.0000000000000334 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chodosh J, Petitti DB, Elliott M, Hays RD, Crooks VC, Reuben DB, Galen Buckwalter J, Wenger N. Physician recognition of cognitive impairment: evaluating the need for improvement. J Am Geriatr Soc. 2004July;52(7):1051–9. [DOI] [PubMed] [Google Scholar]
  • 10.Teno JM, Gozalo P, Khandelwal N, Curtis JR, Meltzer D, Engelberg R, Mor V. Association of Increasing Use of Mechanical Ventilation Among Nursing Home Residents With Advanced Dementia and Intensive Care Unit Beds. JAMA Intern Med. 2016December1;176(12):1809–1816. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES