Chapter 2
Chapter 2
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