Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study.


Journal

The British journal of general practice : the journal of the Royal College of General Practitioners
ISSN: 1478-5242
Titre abrégé: Br J Gen Pract
Pays: England
ID NLM: 9005323

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 11 05 2018
accepted: 13 07 2018
pubmed: 19 12 2018
medline: 3 1 2020
entrez: 19 12 2018
Statut: ppublish

Résumé

High levels of antibiotic prescribing are a major concern as they drive antimicrobial resistance. It is currently unknown whether practices that prescribe higher levels of antibiotics also prescribe more medicines in general. To evaluate the relationship between antibiotic and general prescribing levels in primary care. Cross-sectional study in 2014-2015 of 6517 general practices in England using NHS digital practice prescribing data (NHS-DPPD) for the main study, and of 587 general practices in the UK using the Clinical Practice Research Datalink for a replication study. Linear regression to assess determinants of antibiotic prescribing. NHS-DPPD practices prescribed an average of 576.1 antibiotics per 1000 patients per year (329.9 at the 5th percentile and 808.7 at the 95th percentile). The levels of prescribing of antibiotics and other medicines were strongly correlated. Practices with high levels of prescribing of other medicines (a rate of 27 159.8 at the 95th percentile) prescribed 80% more antibiotics than low-prescribing practices (rate of 8815.9 at the 5th percentile). After adjustment, NHS-DPPD practices with high prescribing of other medicines gave 60% more antibiotic prescriptions than low-prescribing practices (corresponding to higher prescribing of 276.3 antibiotics per 1000 patients per year). Prescribing of non-opioid painkillers and benzodiazepines were also strong indicators of the level of antibiotic prescribing. General prescribing levels were a much stronger driver for antibiotic prescribing than other risk factors, such as deprivation. The propensity of GPs to prescribe medications generally is an important driver for antibiotic prescribing. Interventions that aim to optimise antibiotic prescribing will need to target general prescribing behaviours, in addition to specifically targeting antibiotics.

Sections du résumé

BACKGROUND BACKGROUND
High levels of antibiotic prescribing are a major concern as they drive antimicrobial resistance. It is currently unknown whether practices that prescribe higher levels of antibiotics also prescribe more medicines in general.
AIM OBJECTIVE
To evaluate the relationship between antibiotic and general prescribing levels in primary care.
DESIGN AND SETTING METHODS
Cross-sectional study in 2014-2015 of 6517 general practices in England using NHS digital practice prescribing data (NHS-DPPD) for the main study, and of 587 general practices in the UK using the Clinical Practice Research Datalink for a replication study.
METHOD METHODS
Linear regression to assess determinants of antibiotic prescribing.
RESULTS RESULTS
NHS-DPPD practices prescribed an average of 576.1 antibiotics per 1000 patients per year (329.9 at the 5th percentile and 808.7 at the 95th percentile). The levels of prescribing of antibiotics and other medicines were strongly correlated. Practices with high levels of prescribing of other medicines (a rate of 27 159.8 at the 95th percentile) prescribed 80% more antibiotics than low-prescribing practices (rate of 8815.9 at the 5th percentile). After adjustment, NHS-DPPD practices with high prescribing of other medicines gave 60% more antibiotic prescriptions than low-prescribing practices (corresponding to higher prescribing of 276.3 antibiotics per 1000 patients per year). Prescribing of non-opioid painkillers and benzodiazepines were also strong indicators of the level of antibiotic prescribing. General prescribing levels were a much stronger driver for antibiotic prescribing than other risk factors, such as deprivation.
CONCLUSION CONCLUSIONS
The propensity of GPs to prescribe medications generally is an important driver for antibiotic prescribing. Interventions that aim to optimise antibiotic prescribing will need to target general prescribing behaviours, in addition to specifically targeting antibiotics.

Identifiants

pubmed: 30559110
pii: bjgp18X700457
doi: 10.3399/bjgp18X700457
pmc: PMC6301355
doi:

Substances chimiques

Analgesics, Non-Narcotic 0
Anti-Bacterial Agents 0
Prescription Drugs 0
Benzodiazepines 12794-10-4

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e42-e51

Informations de copyright

© British Journal of General Practice 2019.

Références

J Antimicrob Chemother. 2000 Sep;46(3):509-12
pubmed: 10980184
J Clin Epidemiol. 2004 Dec;57(12):1288-94
pubmed: 15617955
Br J Gen Pract. 2009 Oct;59(567):e315-20
pubmed: 19843411
BMJ. 2010 May 18;340:c2096
pubmed: 20483949
J Antimicrob Chemother. 2010 Nov;65(11):2275-7
pubmed: 20851812
BMJ. 2011 Feb 15;342:d508
pubmed: 21325004
J Antimicrob Chemother. 2014 Mar;69(3):835-41
pubmed: 24176983
Infect Dis Clin North Am. 2014 Jun;28(2):177-93
pubmed: 24857387
Ann Fam Med. 2014 Jul;12(4):344-51
pubmed: 25024243
BMJ Open. 2014 Oct 27;4(10):e006245
pubmed: 25348424
Ther Adv Drug Saf. 2014 Dec;5(6):229-41
pubmed: 25436105
Int J Epidemiol. 2015 Jun;44(3):827-36
pubmed: 26050254
Ann Intern Med. 2016 Mar 15;164(6):425-34
pubmed: 26785402
Lancet. 2016 Apr 23;387(10029):1743-52
pubmed: 26898856
Antibiotics (Basel). 2013 Nov 05;2(4):465-76
pubmed: 27029314
Mus Soc Issues. 2016;11(1):9-16
pubmed: 27524953
J Antimicrob Chemother. 2017 Aug 1;72(8):2385-2391
pubmed: 28430992
Br J Gen Pract. 2017 Sep;67(662):390-391
pubmed: 28860280
Cochrane Database Syst Rev. 2017 Sep 07;9:CD012252
pubmed: 28881002
Int J Pharm Pract. 2018 Dec;26(6):501-506
pubmed: 29280513
J R Soc Med. 2018 Apr;111(4):120-124
pubmed: 29480743
J Antimicrob Chemother. 2018 Apr 1;73(4):833-834
pubmed: 29490040
J Am Med Inform Assoc. 2018 Aug 1;25(8):963-968
pubmed: 29669066

Auteurs

Yan Li (Y)

Health e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Anna Mölter (A)

Health e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Andrew White (A)

NHS Greater Manchester Shared Service, Oldham, UK.

William Welfare (W)

Public Health England North West, Manchester, UK.

Victoria Palin (V)

Health e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Miguel Belmonte (M)

Health e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Darren M Ashcroft (DM)

Centre for Pharmacoepidemiology and Drug Safety, and NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Matthew Sperrin (M)

Health e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Tjeerd Pieter van Staa (TP)

Health e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK, and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH