Literature DB >> 30900550

Electronically delivered interventions to reduce antibiotic prescribing for respiratory infections in primary care: cluster RCT using electronic health records and cohort study.

Martin C Gulliford1,2, Dorota Juszczyk1,2, A Toby Prevost1,2,3, Jamie Soames4, Lisa McDermott1, Kirin Sultana4, Mark Wright4, Robin Fox5, Alastair D Hay6, Paul Little7, Michael Moore7, Lucy Yardley8,9, Mark Ashworth1, Judith Charlton1.   

Abstract

BACKGROUND: Unnecessary prescribing of antibiotics in primary care is contributing to the emergence of antimicrobial drug resistance.
OBJECTIVES: To develop and evaluate a multicomponent intervention for antimicrobial stewardship in primary care, and to evaluate the safety of reducing antibiotic prescribing for self-limiting respiratory infections (RTIs).
INTERVENTIONS: A multicomponent intervention, developed as part of this study, including a webinar, monthly reports of general practice-specific data for antibiotic prescribing and decision support tools to inform appropriate antibiotic prescribing.
DESIGN: A parallel-group, cluster randomised controlled trial.
SETTING: The trial was conducted in 79 general practices in the UK Clinical Practice Research Datalink (CPRD). PARTICIPANTS: All registered patients were included. MAIN OUTCOME MEASURES: The primary outcome was the rate of antibiotic prescriptions for self-limiting RTIs over the 12-month intervention period. COHORT STUDY: A separate population-based cohort study was conducted in 610 CPRD general practices that were not exposed to the trial interventions. Data were analysed to evaluate safety outcomes for registered patients with 45.5 million person-years of follow-up from 2005 to 2014.
RESULTS: There were 41 intervention trial arm practices (323,155 patient-years) and 38 control trial arm practices (259,520 patient-years). There were 98.7 antibiotic prescriptions for RTIs per 1000 patient-years in the intervention trial arm (31,907 antibiotic prescriptions) and 107.6 per 1000 patient-years in the control arm (27,923 antibiotic prescriptions) [adjusted antibiotic-prescribing rate ratio (RR) 0.88, 95% confidence interval (CI) 0.78 to 0.99; p = 0.040]. There was no evidence of effect in children aged < 15 years (RR 0.96, 95% CI 0.82 to 1.12) or adults aged ≥ 85 years (RR 0.97, 95% CI 0.79 to 1.18). Antibiotic prescribing was reduced in adults aged between 15 and 84 years (RR 0.84, 95% CI 0.75 to 0.95), that is, one antibiotic prescription was avoided for every 62 patients (95% CI 40 to 200 patients) aged 15-84 years per year. Analysis of trial data for 12 safety outcomes, including pneumonia and peritonsillar abscess, showed no evidence that these outcomes might be increased as a result of the intervention. The analysis of data from non-trial practices showed that if a general practice with an average list size of 7000 patients reduces the proportion of RTI consultations with antibiotics prescribed by 10%, then 1.1 (95% CI 0.6 to 1.5) more cases of pneumonia per year and 0.9 (95% CI 0.5 to 1.3) more cases of peritonsillar abscesses per decade may be observed. There was no evidence that mastoiditis, empyema, meningitis, intracranial abscess or Lemierre syndrome were more frequent at low-prescribing practices. LIMITATIONS: The research was based on electronic health records that may not always provide complete data. The number of practices included in the trial was smaller than initially intended.
CONCLUSIONS: This study found evidence that, overall, general practice antibiotic prescribing for RTIs was reduced by this electronically delivered intervention. Antibiotic prescribing rates were reduced for adults aged 15-84 years, but not for children or the senior elderly. FUTURE WORK: Strategies for antimicrobial stewardship should employ stratified interventions that are tailored to specific age groups. Further research into the safety of reduced antibiotic prescribing is also needed. TRIAL REGISTRATION: Current Controlled Trials ISRCTN95232781. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 11. See the NIHR Journals Library website for further project information.

Entities:  

Keywords:  ANTIBIOTICS; BACTERIAL MENINGITIS; EMPYEMA; INTRACRANIAL ABSCESS; MASTOIDITIS; PERITONSILLAR ABSCESS; PNEUMONIA; PRIMARY CARE; RESPIRATORY TRACT INFECTIONS

Mesh:

Year:  2019        PMID: 30900550      PMCID: PMC6452237          DOI: 10.3310/hta23110

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  6 in total

1.  Fidelity evaluation of the dialogue around respiratory illness treatment (DART) program communication training.

Authors:  Rita Mangione-Smith; Jeffrey D Robinson; Chuan Zhou; James W Stout; Alexander G Fiks; Madeleine Shalowitz; Jeffrey S Gerber; Dennis Burges; Benjamin Hedrick; Louise Warren; Robert W Grundmeier; Matthew P Kronman; Laura P Shone; Jennifer Steffes; Margaret Wright; John Heritage
Journal:  Patient Educ Couns       Date:  2022-03-14

2.  Probability of sepsis after infection consultations in primary care in the United Kingdom in 2002-2017: Population-based cohort study and decision analytic model.

Authors:  Martin C Gulliford; Judith Charlton; Joanne R Winter; Xiaohui Sun; Emma Rezel-Potts; Catey Bunce; Robin Fox; Paul Little; Alastair D Hay; Michael V Moore; Mark Ashworth
Journal:  PLoS Med       Date:  2020-07-23       Impact factor: 11.069

Review 3.  Statistical analysis of publicly funded cluster randomised controlled trials: a review of the National Institute for Health Research Journals Library.

Authors:  Bright C Offorha; Stephen J Walters; Richard M Jacques
Journal:  Trials       Date:  2022-02-04       Impact factor: 2.279

4.  The development and implementation of a guideline-based clinical decision support system to improve empirical antibiotic prescribing.

Authors:  H Akhloufi; H van der Sijs; D C Melles; C P van der Hoeven; M Vogel; J W Mouton; A Verbon
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-10       Impact factor: 3.298

Review 5.  Economic impact of clinical decision support interventions based on electronic health records.

Authors:  Daniel Lewkowicz; Attila Wohlbrandt; Erwin Boettinger
Journal:  BMC Health Serv Res       Date:  2020-09-15       Impact factor: 2.655

Review 6.  Realising the full potential of data-enabled trials in the UK: a call for action.

Authors:  Matthew R Sydes; Yolanda Barbachano; Louise Bowman; Tom Denwood; Andrew Farmer; Steph Garfield-Birkbeck; Martin Gibson; Martin C Gulliford; David A Harrison; Catherine Hewitt; Jennifer Logue; Will Navaie; John Norrie; Martin O'Kane; Jennifer K Quint; Jo Rycroft-Malone; Jonathan Sheffield; Liam Smeeth; Frank Sullivan; Juliet Tizzard; Paula Walker; John Wilding; Paula R Williamson; Martin Landray; Andrew Morris; Rhoswyn R Walker; Hywel C Williams; Janet Valentine
Journal:  BMJ Open       Date:  2021-06-16       Impact factor: 2.692

  6 in total

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