Literature DB >> 17575558

The analysis of a cardiological network in a regulated setting: a spatial interaction approach.

Matteo Lippi Bruni1, Lucia Nobilio, Cristina Ugolini.   

Abstract

We analyse referral patterns for patients undergoing percutaneous transluminal coronary angioplasty (PTCA) in the Emilia Romagna region of Italy, a procedure for which the assumption of a negative association between volume and adverse outcomes is used to justify its territorial concentration. Nevertheless, recent clinical evidence shows PTCA superiority for immediate treatment of acute myocardial infarction, which advises an increase in the number of points of delivery. Our paper aims to develop analytical tools designed to provide support to policy makers when they are asked to evaluate the spatial distribution of catheterisation laboratories that perform PTCA. Information is drawn from the regional administrative hospital discharge data (SDO) for the year 2002. We first use entropy indexes to investigate the spatial accessibility of the cardiological network. Secondly, by means of a gravity model estimated using Bayesian techniques we identify the determinants of patient flows in terms of demand and supply factors. Our results suggest that information on destinations is processed hierarchically and that agglomeration-like forces are dominant. Furthermore, although self-sufficiency of provision at the provincial level has been achieved to a large extent, there is still scope to improve the organisational efficiency of the network.

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Year:  2008        PMID: 17575558     DOI: 10.1002/hec.1255

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  4 in total

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Journal:  Health Care Manag Sci       Date:  2011-04-01

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Authors:  Felix Rigoli; Sergio Mascarenhas; Domingos Alves; Tiago Canelas; Geraldo Duarte
Journal:  BMC Med       Date:  2019-10-01       Impact factor: 8.775

3.  Regional disparities in mortality after ischemic heart disease in a Brazilian state from 2006 to 2010.

Authors:  Luciano de Andrade; Vanessa Zanini; Adelia Portero Batilana; Elias Cesar Araujo de Carvalho; Ricardo Pietrobon; Oscar Kenji Nihei; Maria Dalva de Barros Carvalho
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

4.  Clustering patient mobility patterns to assess effectiveness of health-service delivery.

Authors:  Selman Delil; Rahmi Nurhan Çelik; Sayın San; Murat Dundar
Journal:  BMC Health Serv Res       Date:  2017-07-04       Impact factor: 2.655

  4 in total

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