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Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study
OBJECTIVE: To study variation in antibiotic prescribing rates among general practitioners (GP) in out-of-hours (OOH) primary care and to explore GP characteristics associated with these rates. DESIGN: Population-based observational registry study using routine data from the OOH primary care registra...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397449/ https://www.ncbi.nlm.nih.gov/pubmed/35703579 http://dx.doi.org/10.1080/02813432.2022.2073981 |
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author | Huibers, Linda Vestergaard, Claus Høstrup Keizer, Ellen Bech, Bodil Hammer Bro, Flemming Christensen, Morten Bondo |
author_facet | Huibers, Linda Vestergaard, Claus Høstrup Keizer, Ellen Bech, Bodil Hammer Bro, Flemming Christensen, Morten Bondo |
author_sort | Huibers, Linda |
collection | PubMed |
description | OBJECTIVE: To study variation in antibiotic prescribing rates among general practitioners (GP) in out-of-hours (OOH) primary care and to explore GP characteristics associated with these rates. DESIGN: Population-based observational registry study using routine data from the OOH primary care registration system on patient contacts and antibiotic prescriptions combined with national register data. SETTING: OOH primary care of the Central Denmark Region. SUBJECTS: All patient contacts in 2014–2017. MAIN OUTCOME MEASURES: GPs’ tendency to prescribe antibiotics. Excess variation (not attributable to chance). RESULTS: We included 794,220 clinic consultations (16.1% with antibiotics prescription), 281,141 home visits (11.6% antibiotics), and 1,583,919 telephone consultations (5.8% antibiotics). The excess variation in the tendency to prescribe antibiotics was 1.56 for clinic consultations, 1.64 for telephone consultations, and 1.58 for home visits. Some GP characteristics were significantly correlated with a higher tendency to prescribe antibiotics, including ‘activity level’ (i.e. number of patients seen in the past hour) for clinic and telephone consultations, ‘familiarity with OOH care’ (i.e. number of OOH shifts in the past 180 days), male sex, and younger age for home visits. Overall, GP characteristics explained little of the antibiotic prescribing variation seen among GPs (Pseudo r(2): 0.008–0.025). CONCLUSION: Some variation in the GPs’ tendency to prescribe antibiotics was found for OOH primary care contacts. Available GP characteristics, such as GPs’ activity level and familiarity with OOH care, explained only small parts of this variation. Future research should focus on identifying factors that can explain this variation, as this knowledge could be used for designing interventions. KEY POINTS: Current awareness: Antibiotic prescribing rates seem to be higher in out-of-hours than in daytime primary care. Most important results: Antibiotic prescribing rates varied significantly among general practitioners after adjustment for contact- and patient-characteristics. This variation remained even after accounting for variation attributable to chance. General practitioners’ activity level and familiarity with out-of-hours care were positively associated with their tendency to prescribe antibiotics. |
format | Online Article Text |
id | pubmed-9397449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-93974492022-08-24 Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study Huibers, Linda Vestergaard, Claus Høstrup Keizer, Ellen Bech, Bodil Hammer Bro, Flemming Christensen, Morten Bondo Scand J Prim Health Care Original Articles OBJECTIVE: To study variation in antibiotic prescribing rates among general practitioners (GP) in out-of-hours (OOH) primary care and to explore GP characteristics associated with these rates. DESIGN: Population-based observational registry study using routine data from the OOH primary care registration system on patient contacts and antibiotic prescriptions combined with national register data. SETTING: OOH primary care of the Central Denmark Region. SUBJECTS: All patient contacts in 2014–2017. MAIN OUTCOME MEASURES: GPs’ tendency to prescribe antibiotics. Excess variation (not attributable to chance). RESULTS: We included 794,220 clinic consultations (16.1% with antibiotics prescription), 281,141 home visits (11.6% antibiotics), and 1,583,919 telephone consultations (5.8% antibiotics). The excess variation in the tendency to prescribe antibiotics was 1.56 for clinic consultations, 1.64 for telephone consultations, and 1.58 for home visits. Some GP characteristics were significantly correlated with a higher tendency to prescribe antibiotics, including ‘activity level’ (i.e. number of patients seen in the past hour) for clinic and telephone consultations, ‘familiarity with OOH care’ (i.e. number of OOH shifts in the past 180 days), male sex, and younger age for home visits. Overall, GP characteristics explained little of the antibiotic prescribing variation seen among GPs (Pseudo r(2): 0.008–0.025). CONCLUSION: Some variation in the GPs’ tendency to prescribe antibiotics was found for OOH primary care contacts. Available GP characteristics, such as GPs’ activity level and familiarity with OOH care, explained only small parts of this variation. Future research should focus on identifying factors that can explain this variation, as this knowledge could be used for designing interventions. KEY POINTS: Current awareness: Antibiotic prescribing rates seem to be higher in out-of-hours than in daytime primary care. Most important results: Antibiotic prescribing rates varied significantly among general practitioners after adjustment for contact- and patient-characteristics. This variation remained even after accounting for variation attributable to chance. General practitioners’ activity level and familiarity with out-of-hours care were positively associated with their tendency to prescribe antibiotics. Taylor & Francis 2022-06-15 /pmc/articles/PMC9397449/ /pubmed/35703579 http://dx.doi.org/10.1080/02813432.2022.2073981 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Huibers, Linda Vestergaard, Claus Høstrup Keizer, Ellen Bech, Bodil Hammer Bro, Flemming Christensen, Morten Bondo Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study |
title | Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study |
title_full | Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study |
title_fullStr | Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study |
title_full_unstemmed | Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study |
title_short | Variation of GP antibiotic prescribing tendency for contacts with out-of-hours primary care in Denmark – a cross-sectional register-based study |
title_sort | variation of gp antibiotic prescribing tendency for contacts with out-of-hours primary care in denmark – a cross-sectional register-based study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397449/ https://www.ncbi.nlm.nih.gov/pubmed/35703579 http://dx.doi.org/10.1080/02813432.2022.2073981 |
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