Finance versus costs for teaching hospitals in Spain

In this paper we analyse the observed systematic differences in costs for teaching hospitals (THhenceforth) in Spain. Concern has been voiced regarding the existence of a bias in the financing of TH’s has been raised once prospective budgets are in the arena for hospital finance, and claims for adjusting to take into account the ‘legitimate’ extra costs of teaching on hospital expenditure are well grounded. We focus on the estimation of the impact of teaching status on average cost. We used a version of a multiproduct hospital cost function taking into account some relevant factors from which to derive the observed differences. We assume that the relationship between the explanatory and the dependent variables follows a flexible form for each of the explanatory variables. We also model the underlying covariance structure of the data. We assumed two qualitatively different sources of variation: random effects and serial correlation. Random variation refers to both general level variation (through the random intercept) and the variation specifically related to teaching status. We postulate that the impact of the random effects is predominant over the impact of the serial correlation effects. The model is estimated by restricted maximum likelihood. Our results show that costs are 9% higher (15% in the case of median costs) in teaching than in non-teaching hospitals. That is, teaching status legitimately explains no more than half of the observed difference in actual costs. The impact on costs of the teaching factor depends on the number of residents, with an increase of 51.11% per resident for hospitals with fewer than 204 residents (third quartile of the number of residents) and 41.84% for hospitals with more than 204 residents. In addition, the estimated dispersion is higher among teaching hospitals. As a result, due to the considerable observed heterogeneity, results should be interpreted with caution. From a policy making point of view, we conclude that since a higher relative burden for medical training is under public hospital command, an explicit adjustment to the extra costs that the teaching factor imposes on hospital finance is needed, before hospital competition for inpatient services takes place.Cost functions, semi-parametric estimation, regression analysis, teaching hospitals, prospective payments

A multilevel analysis on the determinants of regional health care expenditure. A note

We apply a multilevel hierarchical model to explore whether an aggregation fallacy exists in estimating the income elasticity of health expenditure by ignoring the regional composition of national health expenditure figures. We use data for 110 regions in eight OECD countries in 1997: Australia, Canada, France, Germany, Italy, Spain, Sweden and United Kingdom. In doing this we have tried to identify two sources of random variation: within countries and between-countries. Our results show that: 1- Variability between countries amounts to (SD) 0.5433, and just 13% of that can be attributed to income elasticity and the remaining 87% to autonomous health expenditure; 2- Within countries, variability amounts to (SD) 1.0249; and 3- The intra-class correlation is 0.5300. We conclude that we have to take into account the degree of fiscal decentralisation within countries in estimating income elasticity of health expenditure. Two reasons lie behind this: a) where there is decentralisation to the regions, policies aimed at emulating diversity tend to increase national health care expenditure; and b) without fiscal decentralisation, central monitoring of finance tends to reduce regional diversity and therefore decrease national health expenditure.OECD health expenditure, fiscal federalism, multilevel hierarchical models

Health care provider choice in the case of patient-initiated contacts. An extended version of discrete choice of model demand

This paper analyzes the nature of health care provider choice in the case of patient-initiated contacts, with special reference to a National Health Service setting, where monetary prices are zero and general practitioners act as gatekeepers to publicly financed specialized care. We focus our attention on the factors that may explain the continuously increasing use of hospital emergency visits as opposed to other provider alternatives. An extended version of a discrete choice model of demand for patient-initiated contacts is presented, allowing for individual and town residence size differences in perceived quality (preferences) between alternative providers and including travel and waiting time as non-monetary costs. Results of a nested multinomial logit model of provider choice are presented. Individual choice between alternatives considers, in a repeated nested structure, self-care, primary care, hospital and clinic emergency services. Welfare implications and income effects are analyzed by computing compensating variations, and by simulating the effects of user fees by levels of income. Results indicate that compensating variation per visit is higher than the direct marginal cost of emergency visits, and consequently, emergency visits do not appear as an inefficient alternative even for non-urgent conditions.Health care demand, emergency visits, nested multinomial logit, compensating variation, time costs