NOVEL METHODS, MODELS, AND METRICS FOR MEDICARE DATA TO UNDERSTAND RECOVERY AFTER HOSPITALIZATION FOR INJURY
2024

Understanding Recovery After Hospitalization for Injury in Older Adults

publication

Author Information

Author(s): Shardell Michelle, Ensrud Kristine

Primary Institution: Oxford University Press US

Hypothesis

Can novel methods improve understanding of post-hospitalization recovery among older adults?

Conclusion

The study presents innovative methods to better understand recovery trajectories in older adults after hospitalization.

Supporting Evidence

  • New data science methods can help identify factors affecting recovery in older adults.
  • Weighting estimation can mitigate survival bias in recovery studies.
  • Flexible joint models can address biases in observational data.
  • Latent variable analysis can reveal recovery trajectories in older adults.

Takeaway

This study looks at how older people recover after being in the hospital and uses new ways to find out more about their recovery.

Methodology

The study uses various data science methods to analyze recovery factors in older adults post-hospitalization.

Potential Biases

Potential biases from unmeasured confounding and informative observation times.

Limitations

Challenges in measurement and research design may affect the accuracy of conclusions.

Participant Demographics

Older adults, particularly those with Alzheimer’s Disease and Related Dementia, and those who have experienced hip fractures or traumatic brain injuries.

Digital Object Identifier (DOI)

10.1093/geroni/igae098.2083

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