In several countries, morbidity burdens have prompted authorities to change the system for allocating resources among patients from a demographic-based to a morbidity-based casemix system. In Danish general practice clinics, there is no morbidity-based casemix adjustment system.

Morbidity measures were significant patient-related FFS expenditure drivers. The association between FFS expenditure and morbidity burden appears to be at the same level as similar studies in the hospital sector, where fees are based on average costing. However, our results indicate that there...

The Danish hospital sector faces a significant rebuilding program driven by recent regional reform and guidelines for acute admission hospitals. Within the next 5–10 years, the number of public hospitals offering acute admission will be reduced from 35 to approximately 20 larger hospitals. As...

Nurses are currently undertaking other tasks than GPs, and larger practices do not lead to increased production per GP. However, a relative increase in list size increased the efficiency. This indicates that organisational changes aiming to increase capacity in general practice should be...

Objectives To explore the association between patients' socioeconomic status and their referral from general practice to specialised health care.Methods Multiple regression analysis was used on cross-sectional data on general practice referral rates for all Danish general practices in year...

Those responsible for monitoring and managing the performance of health-care organisations face the common problem that the relationship between observed performance and effort is difficult to establish. A solution is to compare the performance of multiple organisations, but this requires a...

Studies of hospital efficiency seldom lead to changes in practice, partly because recommendations are unspecific or results are not seen as robust. We describe a method to compare hospital costs that utilises patient-level data. We perform a two-stage analysis in which we first consider factors...