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Tips for calculating and displaying risk-standardized hospital outcomes in Stata

Author

Listed:
  • Jacopo Lenzi

    (Alma Mater Studiorum–University of Bologna)

  • Santa Pildava

    (Centre for Disease Prevention and Control of Latvia)

Abstract

A major challenge of outcomes research is measuring hospital perfor-mance using readily available administrative data. When the outcome measure is mortality or morbidity, rates are adjusted to account for preexisting conditions that may confound their assessment. However, the concept of “risk-adjusted” outcomes is frequently misunderstood. In this article, we try to clarify things, and we describe Stata tools for appropriately calculating and displaying risk-standardized outcome measures. We offer practical guidance and illustrate the application of these tools to an example based on real data (30-day mortality following acute myocardial infarction in Latvia).

Suggested Citation

  • Jacopo Lenzi & Santa Pildava, 2019. "Tips for calculating and displaying risk-standardized hospital outcomes in Stata," Stata Journal, StataCorp LP, vol. 19(2), pages 477-496, June.
    • Handle: RePEc:tsj:stataj:v:19:y:2019:i:2:p:477-496
    DOI: 10.1177/1536867X19854021
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    Cited by:

    1. Lenzi, Jacopo & Noto, Guido & Corazza, Ilaria & Lepiksone, Jana & Fantini, Maria Pia, 2020. "Measuring the quality of care in small countries: the empirical analysis of 30-day mortality following acute myocardial infarction and ischaemic stroke in Latvia," Health Policy, Elsevier, vol. 124(7), pages 695-700.

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