Predicting resource utilization in a Veterans Health Administration primary care population: comparison of methods based on diagnoses and medications.

@article{Wahls2004PredictingRU,
  title={Predicting resource utilization in a Veterans Health Administration primary care population: comparison of methods based on diagnoses and medications.},
  author={Terry Wahls and Mitchell J Barnett and Gary E. Rosenthal},
  journal={Medical care},
  year={2004},
  volume={42 2},
  pages={123-8}
}
BACKGROUND Valid methods of predicting resource utilization in primary care populations are needed. We compared the predictive validity of a method based on diagnoses from administrative data (Adjusted Clinical Groups [ACGs]) and a method using medication profiles (Chronic Disease Index [CDI]). METHODS This retrospective cohort study included 31,212 primary care patients in a Veterans Health Administration (VA) network who received outpatient medication prescriptions in 1999 and who had VA… CONTINUE READING

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