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Case di riposo

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Author Info

  • Emanuele Taufer

    ()
    (DISA, Faculty of Economics, Trento University)

  • Pier Luigi Novi Inverardi

    ()
    (DISA, Faculty of Economics, Trento University)

Abstract

Questo studio prende l'avvio da un'iniziativa di ricerca il cui obiettivo consisteva nella costruzione di un indice sintetico di dipendenza dell'anziano dalla struttura in cui è ospitato, veloce da calcolare e a basso costo. La variabile fondamentale usata nell'analisi è la quantità di tempo giornaliero dedicato dall'Operatore Socio Assistenziale al singolo ospite della Casa di Riposo, scomposta in dieci attività elementari e rilevate per fasce orarie. Dalle osservazioni campionarie si è proceduto a stimare un modello di ANOVA che è risultato avere una percentuale di adattamento di oltre il 90 per cento. Il conseguente indicatore di iso-dipendenza proposto, oltre alla semplicità di calcolo, ha il vantaggio di poter essere impiegato a diversi livelli di dettaglio territoriale permettendo la comparazione di più Case di Riposo o di diverse sotto-strutture componenti la medesima unità (reparti, piani ecc) rispetto alla composizione della dipendenza.

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Bibliographic Info

Paper provided by Department of Computer and Management Sciences, University of Trento, Italy in its series Quaderni DISA with number 034.

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Date of creation: Apr 2000
Date of revision: 12 Sep 2003
Handle: RePEc:trt:disatr:034

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Related research

Keywords: anziani; dipendenza; analisi fattoriale; anova;

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Cited by:
  1. Ana Rodríguez-Álvarez & David Roibás-Alonso & Alan Wall, 2013. "The response of decentralized health services to demand uncertainty and the role of political parties in the Spanish public health system," Journal of Productivity Analysis, Springer, vol. 40(3), pages 357-365, December.
  2. Astrid Jung & Tomaso Duso, 2003. "Product Market Competition and Lobbying Coordination in the U.S. Mobile Telecommunications Industry," CIG Working Papers SP II 2003-16, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  3. Noel Johnson & William Ruger & Jason Sorens & Steven Yamarik, 2014. "Corruption, regulation, and growth: an empirical study of the United States," Economics of Governance, Springer, vol. 15(1), pages 51-69, February.

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