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Ulf Bergman

Publications and source records attributed to Ulf Bergman.

26 records · Page 2Linked to original sources

Drug reimbursement: indicators of inappropriate resource allocation.

AIMS: In many countries, governments and third parties find themselves paying for (reimbursing) unproven, inadequate products limiting their ability to invest in therapies with evidence of relevant patient benefit. We examined how three characteristics, level of therapeutic evidence, susceptibility of inappropriate prescribing, and intercountry variation can be used to identify inefficiencies in pharmaceutical reimbursement among four European Union countries, Austria, Belgium, the Netherlands and Sweden. METHODS: Specific classes of medicines were chosen to provide useful examples of how healthcare resources could be reallocated. A high level of therapeutic evidence was defined as a substantial body of evidence in at least one indication with clear-cut support of relevant patient benefit. The susceptibility of inappropriate prescribing was defined as the likelihood of prescribing a drug outside the scenario for which clear-cut evidence (if any) has been documented to produce relevant benefit for the patient. The intercountry variation represents the variation in utilization of reimbursed drugs across the four countries. RESULTS: The combination of these characteristics provides a useful tool for assessing appropriate reimbursement decisions. It would be beneficial to healthcare payers as well as patients to move resources from products that have a low level of therapeutic evidence and a high susceptibility of inappropriate prescribing to products with a high level of therapeutic evidence and low susceptibility of inappropriate prescribing, and to use intercountry variation as a signal of drug classes that should be subject to further scrutiny. CONCLUSIONS: A method is presented to help policy-makers identify inefficiencies in the spending of limited health care resources, and to reallocate resources to products that have been shown to improve patient care through evidence-based medicine.

Austria↗

Antibiotic prescribing in general practice: striking differences between Italy (Ravenna) and Denmark (Funen).

OBJECTIVE: To compare antibiotic prescribing in primary care in two European populations, one in Denmark (Funen), the other in Italy (Ravenna). METHODS: Reimbursement data (1999) were retrieved from the Odense Pharmacoepidemiologic Database (Denmark) and the Emilia Romagna Health Authority Database (Italy). The extent of antibiotic use (ATC J01) was analysed as the number of defined daily doses per 1000 inhabitants per day (DDD/1000 inhabitants/day), and as annual prevalence of use. A qualitative analysis was carried out according to the Drug Utilization 90% (DU90%) approach. RESULTS: Antibiotic consumption was 16.5 DDD/1000 inhabitants/day in Ravenna and 10.4 DDD/1000 inhabitants/day in Funen; the annual prevalence of use was 40 and 30 subjects/100 inhabitants, respectively. Italian children received a greater amount (four-fold in DDDs) of antibiotics than Danish ones, whereas consumption was only slightly higher in Italy than in Denmark in the other age groups. In Italy, injectable antibiotics (third generation cephalosporins or aminoglycosides) accounted for 4% of total DDDs and 11% of exposed subjects. In Funen, use of injectable antibiotics was negligible. The bulk of prescription (90% of total DDDs) was made up of eight (out of 38) different antibiotics in Denmark, mainly narrow-spectrum penicillins and macrolides (1st: phenoxymethylpenicillin), and of 18 (out of 74) antibiotics in Italy, mainly broad-spectrum penicillins, macrolides, fluoroquinolones and cephalosporins. CONCLUSIONS: These data show remarkable differences in antibiotic prescribing between Italy and Denmark, and suggest possible overuse and misuse of antibiotics in Italy.

Adolescent↗

How do we best detect toxic effects of drugs taken during pregnancy? A EuroMap paper.

It is a major clinical and public health problem that there is no clear strategy as to how we best make use of information obtained when pregnant women take drugs. For this reason, some pregnant women are not treated as they should be and some are given drugs they should not use. We suggest a monitoring system that combines some of the available datasets in Europe. Using these sources as a starting point, one can develop a system that has sufficient power to detect even rare diseases like congenital malformations and sufficient diversity to detect several possible outcomes from spontaneous abortions to childhood disorders. We also suggest that case-crossover designs should be used in case-control monitoring systems that carry a high risk of recall bias. These considerations are based upon our results from a European Union-funded concerted action called EuroMaP (Medicine and Pregnancy).

Abnormalities, Drug-Induced↗

[Computerize drug handling! Scrutiny of drug prescriptions at four emergency hospitals show big shortages].

As part of quality assessment of hospital drug handling routines we conducted an audit of medical records in four major hospitals in order to investigate to what extent the prescriptions were correctly written, i.e. to what extent the name of the drug, dosage form, strength, administration route, dosage and dosage interval were given in the records. Only 20% of the prescriptions were given correctly. The failure rate was highest for route of administration and dosage intervals. According to a questionnaire, physicians, nurses and pharmacists were in favour of audits of this type recommended by the Swedish Medical Quality Council, believing that they will lead to improvement in the quality of the drug handling routines. Safe such routines are a leadership matter. It is also timely to implement computerised physician order entry systems. Such systems can form the basis for decision support, for example in dosage adjustments in relation to age and renal function, and the identification of drug interactions. This set-up would lead to improvement in the quality of health care provided in hospitals.

Clinical Pharmacy Information Systems↗