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Chapter 2

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ceutical policies. To encourage efficiency, they should be delegated to the local level,<br />

abandoning the claim to manage the system with excessively simple rules such as the<br />

13% cap.<br />

A similar argument can be made for the policies aimed to rationalize hospital admissions,<br />

at present based on cutting bed places.<br />

One first simple, but not obvious, comment is that closing beds does not necessarily<br />

imply a reduction in related costs, primarily, those for employees but also fixed costs for<br />

equipment etc.<br />

It then seems important to check whether the progressive reduction in bed places and<br />

the, at least partial, success in reducing the costs of “Hospital Care”, really portend a<br />

rationalization of the network, or if the savings are fundamentally financial.<br />

The quantitative picture appears rather complex (see chapter 1.5, Rocchetti,<br />

Spandonaro). We find, in fact, that hospitalization rates (standardized for age) vary from<br />

Region to Region by 300% (even more for day hospitals, rehabilitation and long term<br />

hospitalization), with very different case mixes (varying by 1,5 times in terms of their associated<br />

tariffs).<br />

It seems there are few doubts about the persistence of situations where recourse to the<br />

hospital is not attributable to demographic or epidemiological factors.<br />

Consequently, it is no surprise that the curve of resource absorption against age may be<br />

very different for the population of one Region compared with another. In some age classes,<br />

we find a difference in absorption of resources, between Regions, of about 250%.<br />

Furthermore, to the differences in hospital admission, we should add extremely variable<br />

tariff levels. The maximum differences in mean per age class reach 60%.<br />

Undifferentiated central policies (for example those oriented to fix the maximum number<br />

of regional bed places per inhabitant) seem unable to provide incentives for effective<br />

rationalization and at times may be a source of additional risk of inappropriateness and<br />

inefficiency. In fact, use of the tariffs leverage for financial reasons (compliance with funding<br />

ceilings) predominates over their use to regulate the quality or quantity of services<br />

provided.<br />

By exclusion, one has to admit that the differences in performance found, justify a presumption<br />

of the existence of widespread inappropriateness.<br />

In short, we found a demand largely conditioned by the supply, following a self-referencing<br />

model typical of many environments in the Italian National Health service. To overcome<br />

the problem, in terms of management of the system, it therefore seems desirable<br />

to concentrate both on monitoring recourse to the hospital and on staffing, abandoning<br />

regulation of the supply of beds.<br />

This hospital policy option is likewise corroborated by the assessment of significant<br />

levels of (in)efficiency in hospital organizations (see chapter 3.2, Fioravanti, Polistena,<br />

Spandonaro).<br />

The analysis, which has now reached its third annual revision, makes it possible to state,<br />

with ever greater conviction, that there are significant problems in terms of both funding<br />

and efficiency. The cost per homogeneous unit of admission, analysed in 96 public hospital<br />

organizations, varies by 300% from a minimum of about € 2.000 per DRG point to<br />

[25]<br />

CEIS Health Report 2006

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