Antibiotic prescribing frequency amongst patients in primary care: a cohort study using electronic health records

被引:63
|
作者
Shallcross, Laura [1 ]
Beckley, Nick [2 ]
Rait, Greta [2 ]
Hayward, Andrew [1 ]
Petersen, Irene [2 ,3 ]
机构
[1] UCL Inst Hlth Informat, 222 Euston Rd, London NW1 2DA, England
[2] UCL, Med Sch, Res Dept Primary Care & Populat Hlth, Rowland Hill St, London NW3 2PF, England
[3] Aarhus Univ, Dept Clin Epidemiol, Olof Palmes Alle, DK-8200 Aarhus N, Denmark
关键词
CO-MORBIDITY; DATABASE; ASSOCIATION; RESISTANCE; INFECTION; RISK;
D O I
10.1093/jac/dkx048
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: Reducing inappropriate antibiotic prescribing in primary care is a public health priority. Objectives: We hypothesized that a subset of patients account for the majority of antibiotic prescriptions in primary care. We investigated the relationship between the total amount of antibiotics prescribed, individual-level antibiotic use and comorbidity. Methods: This was a cohort study using electronic health records from 1 948 390 adults registered with 385 primary care practices in the UK in 2011-13. We estimated the average number of antibiotic prescriptions per patient and the association between prescribing and comorbidity. We modelled the impact on total prescribing of reducing antibiotic use in those prescribed antibiotics most frequently. Results: On average 30.1%(586 194/1 948 390) of patients were prescribed at least one antibiotic per year. Nine percent (174 602/1 948 390) of patients were prescribed 53% (2 091 496/3 922 732) of the total amount of antibiotics, each of whom received at least five antibiotic prescriptions over 3 years. The presence of any comorbidity increased the prescribing rate by 44% [adjusted incidence rate ratio (IRR) 1.44, 95% CI 1.43-1.45]; rates of prescribing to women exceeded those in men by 62% (adjusted IRR 1.62, 95% CI 1.62-1.63). Conclusions: Half of antibiotics prescribed to adults in primary care were for <10% of patients. Efforts to tackle antimicrobial resistance should consider the impact of this on total prescribing.
引用
收藏
页码:1818 / 1824
页数:7
相关论文
共 50 条
  • [31] Quantifying the impact of pre-existing conditions on the stage of oesophagogastric cancer at diagnosis: a primary care cohort study using electronic medical records
    Quiroga, Myra
    Shephard, Elizabeth A.
    Mounce, Luke T. A.
    Carney, Madeline
    Hamilton, William T.
    Price, Sarah J.
    FAMILY PRACTICE, 2021, 38 (04) : 425 - 431
  • [32] Clinical relevance of thrombocytosis in primary care: a prospective cohort study of cancer incidence using English electronic medical records and cancer registry data
    Bailey, Sarah E. R.
    Ukoumunne, Obioha C.
    Shephard, Elizabeth A.
    Hamilton, Willie
    BRITISH JOURNAL OF GENERAL PRACTICE, 2017, 67 (659) : E405 - E413
  • [33] Identifying Dynamic Patterns of Polypharmacy for Patients with Dementia from Primary Care Electronic Health Records: A Machine Learning Driven Longitudinal Study
    Longo, Elisabetta
    Burnett, Bruce
    Bauermeister, Sarah
    Zhou, Shang-Ming
    AGING AND DISEASE, 2023, 14 (02): : 548 - 559
  • [34] Antibiotic prescribing on admission to patients with pneumonia and prior outpatient antibiotic treatment: a cohort study on clinical outcome
    van de Garde, Ewoudt M. W.
    Natsch, Stephanie
    Prins, Jan M.
    van der Linden, Paul D.
    BMJ OPEN, 2015, 5 (02):
  • [35] Validation of fragility fractures in primary care electronic medical records: A population-based study
    Martinez-Laguna, Daniel
    Soria-Castro, Alberto
    Carbonell-Abella, Cristina
    Orozco-Lopez, Pilar
    Estrada-Laza, Pilar
    Nogues, Xavier
    Diez-Perez, Adolfo
    Prieto-Alhambra, Daniel
    REUMATOLOGIA CLINICA, 2019, 15 (05): : E1 - E4
  • [36] Probability of an Obese Person Attaining Normal Body Weight: Cohort Study Using Electronic Health Records
    Fildes, Alison
    Charlton, Judith
    Rudisill, Caroline
    Littlejohns, Peter
    Prevost, A. Toby
    Gulliford, Martin C.
    AMERICAN JOURNAL OF PUBLIC HEALTH, 2015, 105 (09) : E54 - E59
  • [37] Characterizing primary care patients with posttraumatic stress disorder using electronic medical records: a retrospective cross-sectional study
    Singer, Alexander
    Kosowan, Leanne
    Muthumuni, Dhasni
    Katz, Alan
    Zafari, Hasan
    Zulkernine, Farhana
    Richardson, J. Don
    Price, Morgan
    Williamson, Tyler
    Queenan, John
    Sareen, Jitender
    FAMILY PRACTICE, 2022, 41 (04) : 434 - 441
  • [38] Recognising laryngeal cancer in primary care: a large case-control study using electronic records
    Shephard, Elizabeth A.
    Parkinson, Molly A. L.
    Hamilton, William T.
    BRITISH JOURNAL OF GENERAL PRACTICE, 2019, 69 (679) : E127 - E133
  • [39] Recognizing sinonasal cancer in primary care: a matched case-control study using electronic records
    Khan, Tuba
    El-Sockary, Yusera
    Hamilton, William T.
    Shephard, Elizabeth A.
    FAMILY PRACTICE, 2022, 39 (03) : 354 - 359
  • [40] Antibiotic prescribing in UK care homes 2016–2017: retrospective cohort study of linked data
    Catherine M. Smith
    Haydn Williams
    Arnoupe Jhass
    Selina Patel
    Elise Crayton
    Fabiana Lorencatto
    Susan Michie
    Andrew C. Hayward
    Laura J. Shallcross
    BMC Health Services Research, 20