Health Systems in Transition - Hungary - World Health Organization ...
Health Systems in Transition - Hungary - World Health Organization ...
Health Systems in Transition - Hungary - World Health Organization ...
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<strong>Health</strong> systems <strong>in</strong> transition <strong>Hungary</strong> 199<br />
7.5.2 Technical (production) efficiency<br />
Dur<strong>in</strong>g the communist era, hospitals received l<strong>in</strong>e-item budgets based on<br />
historical spend<strong>in</strong>g, which has long been associated with <strong>in</strong>efficiency and<br />
low-quality services. In <strong>Hungary</strong>, however, the <strong>in</strong>fluence of politics on the<br />
budget negotiation process also led to large geographical disparities and an<br />
uneven development of the various specialties. Introduc<strong>in</strong>g DRGs (HDGs) for<br />
hospital payment was seen as a way to address these problems by provid<strong>in</strong>g<br />
<strong>in</strong>centives to <strong>in</strong>crease productivity and efficiency, promote cost-consciousness<br />
among hospital management and somewhat reduce regional differences <strong>in</strong><br />
service provision (see subsection Specialized ambulatory/<strong>in</strong>patient care <strong>in</strong><br />
section 3.7.1). Initially, however, the extent of geographical disparities already<br />
<strong>in</strong> place was mirrored <strong>in</strong> the HDG production cost (Table 7.3).<br />
Table 7.3<br />
HDG base rate (per standard case), 1993<br />
HUF<br />
Deviation from average<br />
(mean = 100%)<br />
Medical universities average* 30 900 100.0%<br />
m<strong>in</strong>imum 26 320 85.2%<br />
maximum 52 680 170.5%<br />
County hospitals average 29 210 100.0%<br />
m<strong>in</strong>imum 20 860 71.4%<br />
maximum 38 990 133.5%<br />
County hospitals – East <strong>Hungary</strong> average 26 450 90.6%<br />
County hospitals – West <strong>Hungary</strong> average 29 980 102.6%<br />
Municipal hospitals average 25 200 100.0%<br />
m<strong>in</strong>imum 17 000 67.5%<br />
maximum 40 380 160.2%<br />
Municipal hospitals – East <strong>Hungary</strong> average 23 820 94.5%<br />
Municipal hospitals – West <strong>Hungary</strong> average 25 980 103.1%<br />
Source: Gyogy<strong>in</strong>fok data, personal communication.<br />
Difference between<br />
m<strong>in</strong>-max & E-W<br />
200.2%<br />
186.9%<br />
113.3%<br />
237.5%<br />
109.1%<br />
To analyse the impact of the HDG payment system on technical efficiency,<br />
it is helpful to look at a range of performance <strong>in</strong>dicators from 1990 to 2008<br />
(Table 7.4). However, the two most readily available <strong>in</strong>dicators of technical<br />
efficiency – bed occupancy rate and average length of stay – are not very useful<br />
<strong>in</strong> this case. 6<br />
6 Bed occupancy rate depends on the number of beds, which alone is only loosely correlated with actual costs of<br />
care. The same is true for average length of stay: the association between the number of hospital days and cost of<br />
care is not l<strong>in</strong>ear, with the bulk of the costs be<strong>in</strong>g concentrated <strong>in</strong> the first couple of days of <strong>in</strong>patient care (Carey,<br />
2000).