Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Sep 5.
Published in final edited form as: J Am Med Dir Assoc. 2017 Jun 13;18(8):726–728. doi: 10.1016/j.jamda.2017.04.021

Cognitive Status of Older Adults on Admission to a Skilled Nursing Facility According to a Hospital Discharge Diagnosis of Dementia

Brian Downer a,*, Kali S Thomas b,c, Vincent Mor b,c, James S Goodwin d, Kenneth J Ottenbacher a
PMCID: PMC5583639  NIHMSID: NIHMS896744  PMID: 28623153

Abstract

Objective

Describe the cognitive status on admission to a skilled nursing facility (SNF) according to a hospital discharge diagnosis of dementia in a national sample of Medicare beneficiaries.

Design

Retrospective cohort design.

Setting

SNFs in the United States

Participants

Medicare-fee-for-service beneficiaries newly admitted to a SNF within three days of discharge from an acute hospital during 2013–2014 (n=1,885,015).

Measurements

Beneficiaries with a discharge diagnosis of dementia were identified using ICD-9 CM codes from the Medicare Provider Analysis and Review (MedPAR) Part A file. Cognitive status at SNF admission was classified as cognitively intact, mildly impaired, moderately impaired, or severely impaired according to the Cognitive Function Scale using items in the Minimum Data Set 3.0.

Results

For beneficiaries with a discharge diagnosis of dementia (n=252,970), 17.9% were classified as cognitively intact, 25.8% were mildly impaired, and 56.3% were moderately or severely impaired on SNF admission. Approximately 65% of beneficiaries without a hospital diagnosis of dementia were cognitively intact on admission to a SNF, whereas 13.1% were classified as moderately or severely impaired.

Conclusion

Medicare beneficiaries with a hospital diagnosis of dementia are often classified as cognitively intact or mildly impaired on admission to a SNF. These findings provide evidence that a hospital diagnosis of dementia might not always reflect cognitive status on admission to a SNF.

Keywords: Skilled Nursing Facilities, Cognition, Dementia

Introduction

Older adults with dementia are frequently discharged to a skilled nursing facility (SNF) following an acute hospital stay1. SNFs rely on hospitals to provide timely and accurate discharge information so that appropriate care plans can be developed. However, a patient’s cognitive and functional status on admission to a SNF is often different than what was reported by hospital staff2. This can lead to delays in care being provided and increased workloads for SNF staff2.

Population-level analyses of Medicare beneficiaries’ cognitive status on admission to a SNF have been limited by the lack of objective measures in the Minimum Data Set (MDS). In 2010, the Centers for Medicare and Medicaid Services introduced the MDS 3.0, which includes a performance-based cognitive measure3,4. The purpose of this analysis was to describe the cognitive status on admission to a SNF according to a hospital discharge diagnosis of dementia in a national sample of Medicare beneficiaries.

Methods

This analysis used 100% National Medicare Part A and MDS 3.0 data for 2013–2014. The analytic sample included Medicare-fee-for-service beneficiaries aged 65 or older who were newly admitted to a SNF within 3 days of discharge from an acute hospital stay and who had at least a 5-day MDS assessment. Only the first SNF stay for each beneficiary was selected. Beneficiaries with a discharge diagnosis of stroke5 (n=95,442), delirium according to discharge diagnosis or the MDS 3.0 Confusion Assessment Method6 (n=99,848), or who were comatose (n=13) were excluded. The final sample included 1,885,015 beneficiaries.

Classification of dementia

Beneficiaries with one or more ICD-9-CM codes for dementia (331.0, 290.0, 290.40, 294.11, 294.20, 294.21, 294.8) were classified as having a hospital discharge diagnosis of dementia. The hospital diagnosis was compared to the active SNF dementia diagnosis in section I of the MDS 3.0.

Classification of cognitive function

SNF cognitive status was determined using the Cognitive Function Scale7. This is a validated measure that combines data from the Brief Interview for Mental Status3,4 (BIMS) and the Cognitive Performance Scale8 (CPS) into a single scale (Figure 1). The BIMS assesses learning, recall, and orientation. Not all beneficiaries receive or complete the BIMS, in which case a CPS score is calculated using items from the MDS (cognitive skills for daily decision making, ability to make self understood, self-performance for eating, and comatose). Beneficiaries classified as cognitively intact, mildly or moderately impaired by the Cognitive Function scale are frequently able to complete the BIMS, whereas those unable to make themselves understood or unable to complete the BIMS require a CPS score to be calculated.

Figure 1. Creating the Cognitive Function Scale using the BIMS and CPS.

Figure 1

Notes. BIMS = Brief Interview for Mental Status; CPS = Cognitive Performance Scale

Cognitively Intact: Having completed the BIMS and scoring between 13 and 15 points.

Mildly Impaired: A score of 8 – 12 points on the BIMS or a score of 0 – 2 points on the CPS.

Moderately Impaired: A score of 0 – 7 points on the BIMS or a score of 3 – 4 points on the CPS.

Severely Impaired: Not able to receive or complete the BIMS and a score of 5 – 6 points on the CPS.

Additional measures

The MDS 3.0 was used to obtain information for mental disturbances (hallucinations, delusions, and psychosis), behavioral symptoms (verbal behavioral symptoms directed toward others, physical behavioral symptoms directed toward others, other behavioral symptoms, and rejecting care), and self-performance for activities of daily living (ADLs). Beneficiaries were classified as exhibiting zero, mild-moderate (1 – 4 points), and severe (5 – 12 points) aggressive symptoms9. Selfperformance for ADLs was summarized using a 28-point scale10,11.

Statistical analysis

ANOVA and χ2-tests were used to examine differences in beneficiary characteristics according to a hospital diagnosis of dementia. Cohen’s kappa (κ) statistic12 was used to estimate the agreement between a hospital diagnosis of dementia and being classified as moderately or severely impaired at SNF admission. A Kolmogorov-Smirnov test was used to evaluate if the median SNF cognitive status differs by hospital dementia diagnosis. The probability for a hospital diagnosis of dementia according to SNF cognitive status was also calculated.

Results

A total of 252,970 beneficiaries (13.4%) were identified as having a hospital diagnosis of dementia. These beneficiaries were significantly older, were more likely to be male, to have mental symptoms, aggressive behaviors, ADL limitations, difficulties understanding others or being understood, and to have completed the CPS compared to beneficiaries with no hospital dementia diagnosis (Table 1). Approximately 92% of beneficiaries with a hospital dementia diagnosis also had an active SNF diagnosis for dementia compared to 12.9% of beneficiaries with no hospital dementia diagnosis.

Table 1.

Characteristics of Beneficiaries According to a Hospital Diagnosis of Dementia

Hospital Discharge
Diagnosis of Dementia
Characteristic Total Sample
(N=1,885,015)
No Dementia
(N=1,632,045)
Dementia
(N=252,970)
P-value
Age, mean (SD) 81.2 (8.3) 80.7 (8.4) 84.6 (7.2) < 0.01
Gender < 0.01
  Male 657,727 (34.9) 572,691 (35.1) 85,036 (33.6)
  Female 1,227,288 (65.1) 1,059,354 (64.9) 167,934 (66.4)
Mental Symptoms < 0.01
  Hallucinations 16,388 (0.9) 11,559 (0.7) 4,829 (1.9)
  Delusions 30,697 (1.6) 18,974 (1.2) 11,723 (4.6)
  Psychosis 40,268 (2.1) 26,137 (1.6) 14,131 (5.6)
ADL function, mean (SD) 17.2 (4.6) 17.0 (4.5) 18.9 (4.5) < 0.01
ADL score ≥23 points 135,197 (7.2) 99,132 (6.1) 36,065 (14.3) < 0.01
Disruptive behaviors < 0.01
  None 1,724,603 (91.6) 1,519,897 (93.2) 204,706 (81.0)
  Mild-moderate 149,073 (7.9) 105,594 (6.5) 43,479 (17.2)
  Severe 9,650 (0.5) 5,093 (0.3) 4,557 (1.8)
Cognitive measure completed < 0.01
  BIMS 1,713,247 (90.9) 1,507,423 (92.4) 205,824 (81.4)
  CPS 171,768 (9.1) 124,622 (7.6) 47.146 (18.6)
Active SNF diagnosis of dementia 444,153 (23.6) 211,210 (12.9) 232,943 (92.1) < 0.01
Cognitive status < 0.01
  Intact 1,115,720 (59.2) 1,070,374 (65.6) 45,346 (17.9)
  Mild impaired 414,813 (22.0) 349,490 (21.4) 65,323 (25.8)
  Moderate impaired 290,886 (15.4) 177,077 (10.9) 113,809 (45.0)
  Severely impaired 63,596 (3.4) 35,104 (2.2) 28,492 (11.3)

Notes. Percentages based on column totals

ADL= Activities of Daily Living; BIMS = Brief Interview for Mental Status; CPS = Cognitive Performance Scale; SNF = Skilled Nursing Facility

Nearly 60% of all beneficiaries were classified as cognitively intact on admission to a SNF, 22% were mildly impaired, 15.4% were moderately impaired, and 3.4% were severely impaired. Among beneficiaries with a hospital diagnosis of dementia, 17.9% were classified as cognitively intact, 25.8% were mildly impaired, 45% were moderately impaired, and 11.3% were severely impaired. The majority (65.6%) of beneficiaries with no hospital diagnosis of dementia were classified as cognitively intact, 21.4% were mildly impaired, 10.9% were moderately impaired, and 2.2% were severely impaired.

The κ for a hospital dementia diagnosis versus being moderately or severely impaired on SNF testing was 0.37. The median SNF cognitive status for beneficiaries with a hospital dementia diagnosis was moderately impaired and was cognitively intact for those with no dementia diagnosis (p < 0.05). The probability for a hospital diagnosis of dementia for beneficiaries classified as cognitively intact, mildly impaired, moderately impaired, and severely impaired, was 0.048 (95% CI=0.048–0.049), 0.141 (95% CI=0.140–0.142), 0.344 (95% CI=0.343–0.346), and 0.626 (95% CI=0.624–0.629), respectively.

Discussion

This analysis indicates that the majority of Medicare beneficiaries are observed to be cognitively intact on admission to a SNF, but beneficiaries with a hospital diagnosis are frequently cognitive intact or mildly impaired on admission to a SNF. Seventeen percent of beneficiaries with a hospital diagnosis of dementia were classified as cognitively intact based on SNF cognitive testing and 25.7% were classified as mildly impaired. The κ for agreement between a hospital dementia diagnosis and SNF cognitive status were within the range of what is considered minimal, or fair, agreement13. The probability for a hospital diagnosis of dementia increased with greater SNF cognitive impairment.

Medicare claims data are believed to be less likely to include mild cases of dementia14. However, initiatives promoting cognitive screening may contribute to dementia being diagnosed earlier when cognitive symptoms are less severe15. Continued research is needed to determine if physicians increased awareness to dementia symptoms may contribute to an overuse of a dementia diagnosis in a hospital setting. The cognitive function of older patients can be highly dynamic during an acute hospital stay and temporary causes of dementia-like symptoms (e.g., medication interaction, infection, vitamin deficiency) need to be considered before giving a diagnosis of dementia16.

Certain characteristics of the MDS 3.0 may have contributed to a discrepancy between a hospital discharge diagnosis of dementia and cognitive status on admission to a SNF. First, the MDS 3.0 does not screen for mild cognitive impairment (MCI) and some beneficiaries with a hospital diagnosis of dementia may actually have MCI. Second, the BIMS is a short cognitive screening tool that does not include items for executive function, language, or other less common patterns of cognitive impairment observed in dementia. Third, the MDS instructs the BIMS to be administered in optimized conditions, such as ensuring that testing is done in the appropriate language, using an interpreter if needed, ensuring that hearing deficits are addressed prior to assessment, and that the interview is conducted in a private setting.

The results of this analysis have several clinical implications. Older adults with dementia often require extensive SNF care17 and evaluating cognitive function in a SNF can facilitate improved patient care3. An accurate diagnosis of dementia, and hospital staff effectively communicating this diagnosis to SNF staff, is critical to the coordination of care2. Proper documentation of a dementia diagnosis is also important to Accountable Care Organizations when defining and evaluating patient populations18.

Conclusions

Medicare beneficiaries with a hospital diagnosis of dementia are often observed to be cognitively intact or mildly impaired on admission to a SNF. These results suggest that a hospital diagnosis of dementia may not reflect a patient’s cognitive status on admission to a SNF. Future research involving medical chart reviews can provide insight into the source of discordance. Continued research is also needed to determine if the degree of agreement varies across conditions commonly discharged to SNFs, such as joint replacement and heart failure19. Such investigations can provide additional insight into the clinical significance of the agreement between a hospital dementia diagnosis and SNF cognitive status.

Acknowledgments

This research was supported by the Veterans Health Administration (grant number CDA14-422) and the National Institute on Aging (grant number P01AG027296).

Footnotes

Disclosure: VM is the chair of the Independent Advisory Committee on Quality for HCRManorCare. VM is also chair of the Scientific Advisory Committee for naviHealth. No other authors have any potential conflicts to disclose.

References

  • 1.Callahan CM, Tu W, Unroe KT, LaMantia MA, et al. Transitions in Care in a Nationally Representative Sample of Older Americans with Dementia. J Am Geriatr Soc. 2015;63:1495–1502. doi: 10.1111/jgs.13540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.King BJ, Gilmore-Bykovskyi AL, Roiland RA, Polnaszek BE, et al. The consequences of poor communication during transitions from hospital to skilled nursing facility: a qualitative study. J Am Geriatr Soc. 2013;61:1095–1102. doi: 10.1111/jgs.12328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Saliba D, Buchanan J, Edelen MO, Streim J, et al. MDS 3.0: brief interview for mental status. J Am Med Dir Assoc. 2012;13:611–617. doi: 10.1016/j.jamda.2012.06.004. [DOI] [PubMed] [Google Scholar]
  • 4.Chodosh J, Edelen MO, Buchanan JL, Yosef JA, et al. Nursing home assessment of cognitive impairment: development and testing of a brief instrument of mental status. J Am Geriatr Soc. 2008;56:2069–2075. doi: 10.1111/j.1532-5415.2008.01944.x. [DOI] [PubMed] [Google Scholar]
  • 5.Tirschwell DL, Longstreth WT., Jr Validating administrative data in stroke research. Stroke. 2002;33:2465–2470. doi: 10.1161/01.str.0000032240.28636.bd. [DOI] [PubMed] [Google Scholar]
  • 6.Inouye SK, van Dyck CH, Alessi CA, Balkin S, et al. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113:941–948. doi: 10.7326/0003-4819-113-12-941. [DOI] [PubMed] [Google Scholar]
  • 7.Thomas KS, Dosa D, Wysocki A, Mor V. The Minimum Data Set 3.0 Cognitive Function Scale. Med Care. 2015 doi: 10.1097/MLR.0000000000000334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Morris JN, Fries BE, Mehr DR, Hawes C, et al. MDS Cognitive Performance Scale. J Gerontol. 1994;49:M174–182. doi: 10.1093/geronj/49.4.m174. [DOI] [PubMed] [Google Scholar]
  • 9.Perlman CM, Hirdes JP. The aggressive behavior scale: a new scale to measure aggression based on the minimum data set. J Am Geriatr Soc. 2008;56:2298–2303. doi: 10.1111/j.1532-5415.2008.02048.x. [DOI] [PubMed] [Google Scholar]
  • 10.Morris JN, Fries BE, Morris SA. Scaling ADLs within the MDS. J Gerontol A Biol Sci Med Sci. 1999;54:M546–553. doi: 10.1093/gerona/54.11.m546. [DOI] [PubMed] [Google Scholar]
  • 11.Wysocki A, Thomas KS, Mor V. Functional Improvement Among Short-Stay Nursing Home Residents in the MDS 3.0. J Am Med Dir Assoc. 2015;16:470–474. doi: 10.1016/j.jamda.2014.11.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement. 1960;20:37–48. [Google Scholar]
  • 13.Viera AJ, Garrett JM. Understanding interobserver agreement: the kappa statistic. Fam Med. 2005;37:360–363. [PubMed] [Google Scholar]
  • 14.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. doi: 10.1016/s0895-4356(02)00452-3. [DOI] [PubMed] [Google Scholar]
  • 15.Borson S, Frank L, Bayley PJ, Boustani M, et al. Improving dementia care: the role of screening and detection of cognitive impairment. Alzheimers Dement. 2013;9:151–159. doi: 10.1016/j.jalz.2012.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Mayeux R. Clinical practice. Early Alzheimer's disease. N Engl J Med. 2010;362:2194–2201. doi: 10.1056/NEJMcp0910236. [DOI] [PubMed] [Google Scholar]
  • 17.Gilmore-Bykovskyi AL, Roberts TJ, King BJ, Kennelty KA, et al. Transitions From Hospitals to Skilled Nursing Facilities for Persons With Dementia: A Challenging Convergence of Patient and System-Level Needs. Gerontologist. 2016 doi: 10.1093/geront/gnw085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Higgins A, Stewart K, Dawson K, Bocchino C. Early lessons from accountable care models in the private sector: partnerships between health plans and providers. Health Aff (Millwood) 2011;30:1718–1727. doi: 10.1377/hlthaff.2011.0561. [DOI] [PubMed] [Google Scholar]
  • 19.Tian W. An all-payer view of hospital discharge to postacute care, 2013. HCUP Statistical Brief #205. 2016 http://www.hcup-us.ahrq.gov/reports/statbriefs/sb205-Hospital-Discharge-Postacute-Care.pdf. [PubMed]

RESOURCES