Template matching for hospital comparison: an application to birth event data in Italy
digital
![]() Articolo
|
Ebook in formato Pdf leggibile su questi device:
|
|
Quality evaluation in healthcare has obtained a growing attention in the statistical literature. In order to evaluate hospital performances by comparing hospital outcomes it is necessary to remove the bias due to the different case-mix in each hospital, which is usually done using statistical modeling as a risk adjustment tool. Template matching is a new matching approach allowing to remove bias selection in a multi-treatment setting, resulting in a clean and easily interpretable evaluation. We adopted this method to compare caesarean section rates across the hospitals of two Italian regions: Sardinia and Lombardy. We found 5 (out of 79) hospitals with abnormal performance on the same template of expectant mothers, and all these hospitals are located in Lombardy, whereas we do not observe a relationship with the number of deliveries per year and the ownership. Despite this, fairness of the comparing procedure makes easier for the policy makers the identification of potential outliers with respect to both patients’ selection and outcomes.
keywordsHospital Evaluation, Template Matching, Multi Treatment, Risk Adjustment.Biografia degli autorimassimo.cannas@unica.it; francesco.mola@unica.it; paolo.berta@unimib.it |
News
10.03.2023
La sfida di una cultura digitale
Anteprima dal libro di Caio e Soldavini "Digitalizzazione. Per un nuovo rinascimento italiano", collana "Piccola biblioteca per un Paese normale".
28.02.2023
Ezio Franceschini, il rettore partigiano
In occasione dei 40 anni dalla morte, ricordiamo la storia di Ezio Franceschini, latinista, partigiano e rettore dell'Università Cattolica.
31.03.2023
Carlo Borgomeo a Palermo
Venerdì 31 marzo, alle 17:00 la presentazione di "Sud. Il capitale che serve" a Palazzo Branciforte.
14.10.2022
Scopri e partecipa alla Scuola di lettura
La seconda edizione della kermesse culturale Viva il lettore, rivolta agli studenti universitari e agli adulti.
Archivio rivista
Articoli Online First
A Data-Driven Approach to Multivariate Monte Carlo Simulation
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Articoli Open Access
A Data-Driven Approach to Multivariate Monte Carlo Simulation
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Application of Nonparametric Stability Methods in Chickpea (Cicer Arietinum L.) Crop Under Diverse Environments
Ultimi 3 numeri
STATISTICA & APPLICAZIONI - 2021 - 2
STATISTICA & APPLICAZIONI - 2021 - 1
STATISTICA & APPLICAZIONI - 2020 - 2
STATISTICA & APPLICAZIONI - 2021 - 1
STATISTICA & APPLICAZIONI - 2020 - 2