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Regional healthcare authorities (ASSR) could use a similar mechanism to equitably allocate prescribing cost guidelines to general practices on the basis of population need.
Data included patient profiles, admission criteria, ICU survival, antimicrobials used, antibiotic days, number of patients on antibiotics, prescribing cost and the demographic of microbes isolated.
Weights were obtained by dividing each average prescribing cost by the total average cost (€195.6).
Prescribing cost data have several characteristics that make them a challenge to analyse.
The mean annual prescribing cost per individual was similar for males (€196.13) and females (€195.12), but the distribution of medicine utilization by age showed significant differences (above 10%).
While they cannot derive the average cost by individual age groups, they can still calculate the total average prescribing cost (total pharmaceutical expenditure divided by total assisted population).
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In addition to time saving, not having paper reduced prescribing costs from e-prescribing and reduced diagnostic tests were perceived to bring the potential for cost saving efficiencies.
Furthermore, health care providers and policy makers valued prescribing safety indicators, insurance companies prioritized indicators focusing on prescribing costs, and patients' organization representatives valued indicators focusing on interpersonal side of prescribing.
The ASSET weightings were able to explain only about 25% of the variation in prescribing costs among individuals: the causes of the remaining 75% variation in prescribing costs remained unknown.
The ASSET weightings were able to explain only about 25% of the variation in prescribing costs among individuals.
Policy makers must allocate adequate resources to regions to fund prescribing costs based on clinical needs rather than population density.
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