The design of incentive schemes that improve quality of care is a central issue for the healthcare sector. Nowadays we observe many pay-for-performance programs, where payment is contingent on meeting indicators of provider effort, but also other alternative strategies have been introduced, for example programs rewarding physicians for participation in diseases management plans. Although it has been recognised that incentive-based remuneration schemes can have an impact on GP behaviour, there is still weak empirical evidence on the extent to which such programs influence health outcomes. We investigate the impact of financial incentives in Regional and Local Health Authority contracts for primary care in the Italian Region Emilia Romagna for the years 2003-05. We focus on avoidable hospitalisations (Ambulatory Care Sensitive Conditions) for patients affected by type 2 diabetes mellitus, for which the assumption of responsibility and the adoption of clinical guidelines are specifically rewarded. We estimate a panel count data model using a Negative Binomial distribution to test the hypothesis that, other things equal, patients under the responsibility of GPs receiving a higher share of their income through these programs are less likely to experience avoidable hospitalisations. Our findings support the hypothesis that financial transfers may contribute to improve quality of care, even when they are not based on the ex-post verification of performances.

Financial incentives in primary care have been introduced with the purpose of improving appropriateness of care and containing demand. We usually observe pay-for-performance programs, but alternatives, such as pay-for-participation in improvement activities and pay-for-compliance with clinical guidelines, have also been implemented. Here, we assess the influence of different programs that ensure extra payments to GPs for containing avoidable hospitalisations. Our dataset covers patients and GPs of the Italian region Emilia-Romagna for the year 2005. By separating pay-for-performance from pay-for-participation and pay-for-compliance programs, we estimate the impact of different financial incentives on the probability of avoidable hospitalisations. As dependent variable, we consider two different sets of conditions for which timely and effective primary care should be able to limit the need for hospital admission. The first is based on 27 medical diagnostic related groups that Emilia-Romagna identifies as at risk of inappropriateness in primary care, while the second refers to the internationally recognised ambulatory care-sensitive conditions. We show that pay-for-performance schemes may have a significant effect over aggregate indicators of appropriateness, while the effectiveness of pay-for-participation schemes is adequately captured only by taking into account subpopulations affected by specific diseases. Moreover, the same scheme produces different effects on the two sets of indicators used, with performance improvements limited to the target explicitly addressed by the Italian policy maker. This evidence is consistent with the idea that a "tunnel vision" effect may occur when public authorities monitor specific sets of objectives as proxies for more general improvements in the quality of health care delivered.

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Over-crowding in Emergency Departments (EDs) generates potential inefficiencies. Using regional administrative data, we investigate the impact of an increase in the accessibility of primary care on ED visits in Italy. We test whether extending practice opening hours up to 12 hours/day reduces inappropriate ED visits. We estimate count data models, considering different measures for ED visits recorded at the list level.Since the extension programme is voluntary, we also account for the potential endogeneity of participation, using a two-stage residual inclusion and a GMM approach. Our results show that improving primary care accessibility favours a more appropriate use of EDs.

This paper examines the behaviour of public hospitals in response to the average payment incentives created by price changes for patients classified in different Diagnosis Related Groups (DRGs). Using panel data on public hospitals located within the Italian region of Emilia-Romagna, we test whether a one-year increase in DRG prices induced public hospitals to increase their volume of activity, and whether a potential response is associated with changes in waiting times and/or length of stay. We find that public hospitals reacted to the policy change by increasing the number of patients with surgical treatments. This effect was smaller in the two years after the policy change than in later years, and for providers with a lower excess capacity in the pre-policy period, whereas it did not vary significantly across hospitals according to their degree of financial and administrative autonomy. For patients with medical DRGs, instead, there appeared to be no effect on inpatient volumes. Our estimates also suggest that an increase in DRG prices either decreased or had no impact on the proportion of patients waiting more than six months. Finally, we find no evidence of a significant effect on patients' average length of stay.JEL Classification: Analysis of health care markets (I11); Health production (I12); Government policy, regulation, public health (I18).

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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.

Adding some administrative variables considered proxy for clinical complexity to the administrative model and linking hospital data across patients' multiple episodes of care eliminated much of the difference in effectiveness between the clinical and administrative risk adjustment approach. Focusing on the health policy context of measuring CABG death rates, our study strengthened the thesis that, with the growing improvement in accurate coding practice, administrative databases could provide a valuable and economical source for health planning and research.