Assessing sensitivity analysis in patient satisfaction: a case study from "Luigi Sacco" Hospital

Titolo Rivista RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO
Autori/Curatori Nadia Solaro, Massimo Pagani
Anno di pubblicazione 2008 Fascicolo 2007/3
Lingua Italiano Numero pagine 21 P. 161-181 Dimensione file 320 KB
DOI
Il DOI è il codice a barre della proprietà intellettuale: per saperne di più clicca qui

Qui sotto puoi vedere in anteprima la prima pagina di questo articolo.

Se questo articolo ti interessa, lo puoi acquistare (e scaricare in formato pdf) seguendo le facili indicazioni per acquistare il download credit. Acquista Download Credits per scaricare questo Articolo in formato PDF

Anteprima articolo

FrancoAngeli è membro della Publishers International Linking Association, Inc (PILA)associazione indipendente e non profit per facilitare (attraverso i servizi tecnologici implementati da CrossRef.org) l’accesso degli studiosi ai contenuti digitali nelle pubblicazioni professionali e scientifiche

Assessing sensitivity analysis in patient satisfaction: a case study from "Luigi Sacco" Hospital (by Nadia Solaro, Massimo Pagani). Despite of the recognized relevance of conceptual models as a theoretical reference in patient satisfaction studies, in some practical circumstances they are too complex to be applied. This is particularly true when patients are aged, so that higher risks of misunderstanding and consequent biased answers would suggest employing simpler data collecting procedures. These considerations suggest the importance of employing statistical methods capable to deal with data collected according to quality evaluation systems that are necessarily simplified. By starting from a survey carried out experimentally on a set of patients admitted in 2003 at Sacco Hospital in Milan, in this work we have relied on a combination of statistical methods for: 1) constructing patient typologies, by using some indicators of clinical picture complexity, effectiveness of given treatments and perceived quality, this latter in the binary form Satisfied/Not satisfied; 2) performing a sensitivity analysis, to assess if results derived from analysis are sufficiently stable, and then reliable; 3) carrying out a more thorough inspection on the underlying data structure by referring to the results derived from sensitivity analysis.;

Nadia Solaro, Massimo Pagani, Assessing sensitivity analysis in patient satisfaction: a case study from "Luigi Sacco" Hospital in "RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO" 3/2007, pp 161-181, DOI: