A major challenge of outcomes research is measuring hospital performance 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).

Tips for calculating and displaying risk-standardized hospital outcomes in Stata / Lenzi, Jacopo; Pildava, Santa. - In: THE STATA JOURNAL. - ISSN 1536-867X. - ELETTRONICO. - 19:2(2019), pp. 477-496. [10.1177/1536867X19854021]

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

Lenzi, Jacopo
;
2019

Abstract

A major challenge of outcomes research is measuring hospital performance 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).
2019
Tips for calculating and displaying risk-standardized hospital outcomes in Stata / Lenzi, Jacopo; Pildava, Santa. - In: THE STATA JOURNAL. - ISSN 1536-867X. - ELETTRONICO. - 19:2(2019), pp. 477-496. [10.1177/1536867X19854021]
Lenzi, Jacopo; Pildava, Santa
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/701693
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