Assessing Quality Using Routine Administrative Data: the Case of Preventable Hospitalizations

Name: Assessing Quality Using Routine Administrative Data: the Case of Preventable Hospitalizations
Brand: Vita e Pensiero
Availability: OnlineOnly

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Assessing Quality Using Routine Administrative Data: the Case of Preventable Hospitalizations

Authors

Marco Alfò, Luciano Nieddu, Donatella Vicari

Publisher

Vita e Pensiero

Format

Article |

Pdf

Pages

Online from

06-2016

Issn

1824-6672 (print) | 2283-6659 (digital)

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A vast literature has recently concerned the measurement of quality dimensions such as access, effectiveness, performance and outcome of health services supplied by national health care providers. The main concern is to achieve a classification of administrative areas with respect to observed quality indicators. We describe a simple and effective procedure to achieve this goal which allows powerful testing of the hypothesized cluster structure. We describe the performance of this method on a dataset on preventable hospitalizations (PPH) in Italy during 1998, in order to highlight clusters of regions with homogeneous relative risk.

Keywords: Unknown risk factors, Nonparametric ML, Spatial association, Statistical Mapping.

Authors biography

Marco Alfò, Dipartimento di Statistica, Probabilità e Statistiche Applicate – Università degli Studi di Roma “La Sapienza” – Piazzale A. Moro, 5, 00185 ROMA (e-mail: marco.alfo@uniroma1.it).
Luciano Nieddu, Dipartimento di Statistica, Probabilità e Statistiche Applicate – Università degli Studi di Roma “La Sapienza” – Piazzale A. Moro, 5, 00185 ROMA (e-mail: donatella.vicari@uniroma1.it).
Donatella Vicari, Facoltà di Economia. – Libera Università “S. Pio V”. – via Delle Sette Chiese, 139, 00145 ROMA (e-mail: l.nieddu@luspio.it).

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