Predicting cost of care using self-reported health status data

@inproceedings{Boscardin2015PredictingCO,
  title={Predicting cost of care using self-reported health status data},
  author={Christy Kim Boscardin and Ralph Gonzales and Kent L. Bradley and Maria Catherine Raven},
  booktitle={BMC health services research},
  year={2015}
}
BACKGROUND We examined whether self-reported employee health status data can improve the performance of administrative data-based models for predicting future high health costs, and develop a predictive model for predicting new high cost individuals. METHODS This retrospective cohort study used data from 8,917 Safeway employees self-insured by Safeway during 2008 and 2009. We created models using step-wise multivariable logistic regression starting with health services use data, then socio… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Applied logistic regression, 3 edition

  • DW Hosmer, S Lemeshow, RX. Sturdivant
  • 2013
1 Excerpt

Annual Report of Self-Insured Group Health Plans

  • Solis, HL
  • Technical Report, Department of Labor
  • 2012
1 Excerpt

Chronic care: making the case for ongoing care

  • GF Anderson
  • Princeton, NJ: Robert Wood Johnson Foundation;
  • 2010
1 Excerpt

Similar Papers

Loading similar papers…