2010
DOI: 10.1007/s11096-010-9441-6
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Diagnosing infections: a qualitative view on prescription decisions in general practice over time

Abstract: Large variability and individuality characterized the GPs' diagnostic procedures, contrasted by consistency through time. If modification of diagnostic routines is needed, provision of "scientific facts" and technological aids is insufficient. A prerequisite for changing practice is GPs' acceptance of accuracy of information and of reliability, applicability, and relevance of technology, for physician and/or patient.

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Cited by 49 publications
(45 citation statements)
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“…Previous studies have reported that increasing the awareness about antibiotic resistance would potentially influence GPs’ decisions in selecting antibiotics, underlining the importance of knowledge about MDR organisms in assisting clinical decisions [18, 21, 22]. Furthermore, education that promotes awareness about antibiotic resistance is likely to encourage more microbiological testing to identify causative organisms before initiating antibiotic treatment.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies have reported that increasing the awareness about antibiotic resistance would potentially influence GPs’ decisions in selecting antibiotics, underlining the importance of knowledge about MDR organisms in assisting clinical decisions [18, 21, 22]. Furthermore, education that promotes awareness about antibiotic resistance is likely to encourage more microbiological testing to identify causative organisms before initiating antibiotic treatment.…”
Section: Discussionmentioning
confidence: 99%
“…Individual clinician prescribing habits, rather than clinical presentation, have been shown to best predict antibiotic prescription, 25 and these habits tend to remain stable over time. 26 Given that trainees come to resemble their supervisors, the problem of antibiotic overprescription will not decrease in the future without intervention.…”
Section: 24mentioning
confidence: 99%
“…17 There was a total of 383 patients (154 males, 229 females). We processed the data and looked at EMIS consultation records of 102 patients who were selected randomly based on their EMIS numbers.…”
Section: Baseline Measurement Search Tools and Data Collectionmentioning
confidence: 99%