Overprescribing of potentially harmful medication: an observational study in England's general practice.

Deprivation Inequalities Prescribing

Journal

BJGP open
ISSN: 2398-3795
Titre abrégé: BJGP Open
Pays: England
ID NLM: 101713531

Informations de publication

Date de publication:
22 Jan 2024
Historique:
received: 25 08 2023
revised: 15 11 2023
accepted: 24 11 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 22 1 2024
Statut: aheadofprint

Résumé

Overprescribing of potentially harmful medication in UK general practice has a complex association with socioeconomic deprivation. To assess trends in general practice prescribing of five high-risk medications and their relationship to deprivation. We conducted an observational study using general practice data from three English regions with varied socio-demographic factors: West Yorkshire and Harrogate (WY), Black Country and West Birmingham (BC), and Surrey and East Sussex (SE). Practice-level prescribing data was obtained from 2016-2021 for five drug classes: opioids, hypnotics, gabapentinoids, non-steroidal anti-inflammatory drugs (NSAIDs) and antibacterials. Prescribing trends were demonstrated using a linear model. Reduction in NSAID, Opioid, Hypnotic and Antibacterial prescriptions, and the increase in gabapentinoid prescriptions, were significant at each financial-year time period. Index of Multiple Deprivation (IMD) was positively associated with all drug classes except antibacterials, which showed a positive association when incorporating the interaction term between IMD and age.When adjusting for IMD and population, region was independently associated with prescribing rate. Compared to WY, IMD had a smaller association with prescribing in BC for NSAIDs (Coefficient -0.01578, The association of socioeconomic deprivation with overprescribing of high-risk medication in general practice varies by region and drug type. Geographical location is associated with overprescribing, independent of socioeconomic status.

Sections du résumé

BACKGROUND BACKGROUND
Overprescribing of potentially harmful medication in UK general practice has a complex association with socioeconomic deprivation.
AIM OBJECTIVE
To assess trends in general practice prescribing of five high-risk medications and their relationship to deprivation.
DESIGN & SETTING METHODS
We conducted an observational study using general practice data from three English regions with varied socio-demographic factors: West Yorkshire and Harrogate (WY), Black Country and West Birmingham (BC), and Surrey and East Sussex (SE).
METHOD METHODS
Practice-level prescribing data was obtained from 2016-2021 for five drug classes: opioids, hypnotics, gabapentinoids, non-steroidal anti-inflammatory drugs (NSAIDs) and antibacterials. Prescribing trends were demonstrated using a linear model.
RESULTS RESULTS
Reduction in NSAID, Opioid, Hypnotic and Antibacterial prescriptions, and the increase in gabapentinoid prescriptions, were significant at each financial-year time period. Index of Multiple Deprivation (IMD) was positively associated with all drug classes except antibacterials, which showed a positive association when incorporating the interaction term between IMD and age.When adjusting for IMD and population, region was independently associated with prescribing rate. Compared to WY, IMD had a smaller association with prescribing in BC for NSAIDs (Coefficient -0.01578,
CONCLUSION CONCLUSIONS
The association of socioeconomic deprivation with overprescribing of high-risk medication in general practice varies by region and drug type. Geographical location is associated with overprescribing, independent of socioeconomic status.

Identifiants

pubmed: 38253399
pii: BJGPO.2023.0156
doi: 10.3399/BJGPO.2023.0156
pii:
doi:

Types de publication

Journal Article

Langues

eng

Informations de copyright

Copyright © 2024, The Authors.

Auteurs

Tasneem Khan (T)

Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom tasneemkhan@doctors.org.uk.

Bethan Copsey (B)

Clinical Trials Research Unit, University of Leeds, Leeds, United Kingdom.

Paul Carder (P)

NHS West Yorkshire Integrated Care Board, Leeds, United Kingdom.

Stella Johnson (S)

NHS West Yorkshire Integrated Care Board, Leeds, United Kingdom.

Mohammed Imran (M)

NHS West Yorkshire Integrated Care Board, Leeds, United Kingdom.

Kaiwen Wang (K)

University of Leeds, Leeds, United Kingdom.

Sarah Alderson (S)

Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom.

Classifications MeSH