IDENTIFICATION AND MACHINE LEARNING PREDICTION OF MEDICARE BENEFICIARIES’ COGNITIVE FUNCTION TRAJECTORIES
2024

Predicting Cognitive Function Changes in Medicare Beneficiaries

Sample size: 195240 publication

Author Information

Author(s): Lin Haiqun, Xia Weiyi, Zafar Anum, Kim Hyosin, Setoguchi Soko, Kobylarz Fred, Roy Jason, JarrĂ­n Olga

Primary Institution: Rutgers, The State University of New Jersey

Hypothesis

This work aims to characterize the functional decline in cognition during the last five years of life.

Conclusion

The study identified ten distinct cognitive function trajectories among Medicare beneficiaries in their last five years of life.

Supporting Evidence

  • The study analyzed cognitive function data from Medicare beneficiaries who died in 2019.
  • Ten trajectory groups of cognitive function were identified, categorized into four clusters.

Takeaway

Researchers looked at how people's thinking skills changed in the last five years before they died, finding different patterns of decline.

Methodology

The study analyzed a random sample of Medicare beneficiaries and used group-based trajectory modeling to identify cognitive function changes.

Participant Demographics

Medicare beneficiaries aged fifty or older who died in 2019.

Digital Object Identifier (DOI)

10.1093/geroni/igae098.2182

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