Literature DB >> 9360258

High prescribers of antibiotics among general practitioners--relation to prescribing habits of other drugs and use of microbiological diagnostics.

F H Steffensen1, H C Schønheyder, H T Sørensen.   

Abstract

General practitioners' (GPs') prescriptions of antibiotics have shown large variations and may not always be rational. We analysed GPs' prescriptions and use of microbiological diagnostics in Viborg County during a 6-month period in 1992 based on Danish Health Service data. In a logistic regression model we tried to identify potential predictors for a high prescriber of antibiotics, i.e. the GPs with the highest number of prescriptions per patient (upper quartile). Two categories were calculated for the predictor variables, dividing the distribution by the median value. The most liberal GP wrote 15 times as many prescriptions for antibiotics per patient as the most restrictive GP. A strong predictor for high prescribing of antibiotics was the number of prescriptions for other drugs per patient [odds ratio (OR) 12.3, 95% CI: 2.8-54.4] after adjustment for age and sex. High use of throat swabs was a strong negative predictor of high prescribing of antibiotics (OR 0.2, 95% CI: 0.1-0.8) while high use of cultures (OR 2.4, 95% CI: 0.8-6.9) and of urinary susceptibility tests (OR 3.1, 95% CI: 1.1-9.3) were positive predictors. The GP's general attitude to pharmacotherapy seems important for antimicrobial chemotherapy, and if use of antibiotics should be reduced, targeted strategies should be aimed at high prescribers.

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Year:  1997        PMID: 9360258     DOI: 10.3109/00365549709011839

Source DB:  PubMed          Journal:  Scand J Infect Dis        ISSN: 0036-5548


  12 in total

1.  GPs' antibiotic prescription patterns for respiratory tract infections--still room for improvement.

Authors:  Svein Gjelstad; Ingvild Dalen; Morten Lindbaek
Journal:  Scand J Prim Health Care       Date:  2009       Impact factor: 2.581

2.  Impact of multiple low-level anticholinergic medications on anticholinergic load of community-dwelling elderly with and without dementia.

Authors:  Karen E Mate; Karen P Kerr; Dimity Pond; Evan J Williams; John Marley; Peter Disler; Henry Brodaty; Parker J Magin
Journal:  Drugs Aging       Date:  2015-02       Impact factor: 3.923

3.  General practitioners prefer prescribing indicators based on detailed information on individual patients: a Delphi study.

Authors:  Hanne M S Rasmussen; Jens Søndergaard; Jens P Kampmann; Morten Andersen
Journal:  Eur J Clin Pharmacol       Date:  2005-04-27       Impact factor: 2.953

4.  A qualitative comparative investigation of variation in general practitioners' prescribing patterns.

Authors:  Chrys Jaye; Murray Tilyard
Journal:  Br J Gen Pract       Date:  2002-05       Impact factor: 5.386

5.  Antidepressant drug use in general practice: inter-practice variation and association with practice characteristics.

Authors:  Dorte Gilså Hansen; Jens Søndergaard; Werner Vach; Lars Freng Gram; Jens-Ulrik Rosholm; Jakob Kragstrup
Journal:  Eur J Clin Pharmacol       Date:  2003-04-30       Impact factor: 2.953

6.  Predictors of inappropriate antibiotic prescribing among primary care physicians.

Authors:  Genevieve Cadieux; Robyn Tamblyn; Dale Dauphinee; Michael Libman
Journal:  CMAJ       Date:  2007-10-09       Impact factor: 8.262

7.  Can antibiotic prescriptions in respiratory tract infections be improved? A cluster-randomized educational intervention in general practice--the Prescription Peer Academic Detailing (Rx-PAD) Study [NCT00272155].

Authors:  Svein Gjelstad; Arne Fetveit; Jørund Straand; Ingvild Dalen; Sture Rognstad; Morten Lindbaek
Journal:  BMC Health Serv Res       Date:  2006-06-15       Impact factor: 2.655

8.  "What they see is what you get": Prescribing antibiotics for respiratory tract infections in primary care: Do high prescribers diagnose differently? An analysis of German routine data.

Authors:  Susann Hueber; Thomas Kuehlein; Roman Gerlach; Martin Tauscher; Angela Schedlbauer
Journal:  PLoS One       Date:  2017-12-08       Impact factor: 3.240

9.  Impact of medical professionals on Carbapenem-resistant Pseudomonas aeruginosa: moderating effect of workload based on the panel data in China.

Authors:  Meng Han; Xinping Zhang
Journal:  BMC Health Serv Res       Date:  2020-07-20       Impact factor: 2.655

10.  Knowledge and Awareness of Physicians About Rational Antibiotic Use and Antimicrobial Resistance Before and After Graduation: A Cross-Sectional Study Conducted in Malatya Province in Turkey.

Authors:  Adem Kose; Cemil Colak
Journal:  Infect Drug Resist       Date:  2021-07-05       Impact factor: 4.003

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