Tips for calculating and displaying risk-standardized hospital outcomes in Stata
| Autor: | Santa Pildava, Jacopo Lenzi |
|---|---|
| Přispěvatelé: | Lenzi, Jacopo, Pildava, Santa |
| Rok vydání: | 2019 |
| Předmět: |
healthcare quality assessment
mfpboot medicine.medical_specialty Funnel plot hospital profiling funnel plot qic mfpboot_bif caterpillar plot Hospital performance outcomes research 03 medical and health sciences risk adjustment 0302 clinical medicine Mathematics (miscellaneous) Medicine risk-standardized mortality rate 030212 general & internal medicine bootstrap xtgee Generalized estimating equation business.industry st0562 Outcome measures stability Risk adjustment multivariable modeling generalized estimating equation Hospital outcomes 030220 oncology & carcinogenesis Emergency medicine eclplot Outcomes research business |
| Zdroj: | The Stata Journal: Promoting communications on statistics and Stata. 19:477-496 |
| ISSN: | 1536-8734 1536-867X |
| DOI: | 10.1177/1536867x19854021 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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