1,721,097 research outputs found
Indicators of prescribing quality in drug utilisation research: report of a European meeting (DURQUIM, 13-15 May 2004)
An invitational expert meeting on indicators of prescribing quality was held on 13-15 May 2004, bringing together-from 19 European countries, the US, Canada, and Australia-40 researchers specialized in the development and application of indicators. The meeting was organized by the European Drug Utilization Research Group (EuroDURG), the Belgian National Health Insurance Institute (RIZIV-INAMI), and the World Health Organisation Regional Office for Europe (WHO-Euro). The field of prescribing quality was defined and delineated from the medical error field. A conceptual grid for classifying quality indicators was discussed, combining two axes (a drug/disease/patient axis and a structure/process/outcome axis). In addition, available databases were listed for continuous monitoring of drug utilization in Europe, with a description of the content and the richness of the collected data, as well as the impact on the potential and limitations to develop quality indicators. The importance of the origin of data for validity assessment was stressed, as data on drug utilization may originate from physician sources (prescribing data), from pharmacist or health insurer sources (distribution data), or directly from patient sources (compliance data). The different aspects of validity and their methods of assessment were listed. An overview of the (in)appropriate uses of indicators was given. The state of the art of the development and application of prescribing quality indicators in all represented countries was made, together with a first draft of a database of prescribing quality indicators, already subjected to validation procedures
Limited effect of patient and disease characteristics on compliance with hospital antimicrobial guidelines
Objective: Physicians frequently deviate from guidelines that promote prudent use of antimicrobials. We explored to what extent patient and disease characteristics were associated with compliance with guideline recommendations for three common infections. Methods: In a 1-year prospective observational study, 1,125 antimicrobial prescriptions were analysed for compliance with university hospital guidelines. Results: Compliance varied significantly between and within the groups of infections studied. Compliance was much higher for lower respiratory tract infections (LRTIs; 79%) than for sepsis (53%) and urinary tract infections (UTIs; 40%). Only predisposing illnesses and active malignancies were associated with more compliant prescribing, whereas alcohol/ intravenous drug abuse and serum creatinine levels > 130 mu mol/l were associated with less compliant prescribing. Availability of culture results had no impact on compliance with guidelines for sepsis but was associated with more compliance in UTIs and less in LRTIs. Narrowing initial broad-spectrum antimicrobial therapy to cultured pathogens was seldom practised. Most noncompliant prescribing concerned a too broad spectrum of activity when compared with guideline-recommended therapy. Conclusion: Patient characteristics had only a limited impact on compliant prescribing for a variety of reasons. Physicians seemed to practise defensive prescribing behaviour, favouring treatment success in current patients over loss of effectiveness due to resistance in future patients
THERAPEUTIC DECISION-MAKING OF PHYSICIANS
In this review the therapeutic decision-making process of physicians is described. This process is divided into two steps: the generation of a limited set of possible options (the 'evoked set') and the selection from this evoked set of a treatment for a specific patient. Factors that are important in both steps are reviewed. Behavioural and decision-making theories in general and decision-making analysis of physicians in particular are discussed to identify possible shortcomings in their decision-making process. Based on this information a model of the drug choice process is presented. With reference to this model possible ways of influencing drug choices of physicians are discussed.</p
The use of drug information sources by physicians:Development of a data-generating methodology
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