The analysis of a cardiological network in a regulated setting: a spatial interaction approach.
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.
Lippi Bruni
Matteo
M
Department of Economics, University of Bologna, Bologna, Italy.
Nobilio
Lucia
L
Ugolini
Cristina
C
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015906:Angioplasty, Balloon, Coronary; D001499:Bayes Theorem; D002300:Cardiac Care Facilities / Q000458:organization & administration*; D005260:Female; D006801:Humans; D007558:Italy; D008297:Male; D008875:Middle Aged; D012017:Referral and Consultation / Q000458:organization & administration*; D012040:Regional Health Planning / Q000458:organization & administration*; D012737:Sex Factors; D012959:Socioeconomic Factors