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Research ArticleOriginal Research

Electronic Health Records for Intervention Research: A Cluster Randomized Trial to Reduce Antibiotic Prescribing in Primary Care (eCRT Study)

Martin C. Gulliford, Tjeerd van Staa, Alex Dregan, Lisa McDermott, Gerard McCann, Mark Ashworth, Judith Charlton, Paul Little, Michael V. Moore and Lucy Yardley
The Annals of Family Medicine July 2014, 12 (4) 344-351; DOI: https://doi.org/10.1370/afm.1659
Martin C. Gulliford
1King’s College London, Primary Care and Public Health Sciences, London, United Kingdom
MA, FFPH
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Tjeerd van Staa
2Clinical Practice Research Datalink (CPRD) Division, Medicines and Healthcare Products Regulatory Agency, London, United Kingdom
3London School of Hygiene & Tropical Medicine, London, United Kingdom
PhD
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Alex Dregan
1King’s College London, Primary Care and Public Health Sciences, London, United Kingdom
PhD
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  • For correspondence: alexandru.dregan@kcl.ac.uk
Lisa McDermott
5Division of Community Clinical Sciences, University of Southampton, Southampton, United Kingdom
PhD
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Gerard McCann
2Clinical Practice Research Datalink (CPRD) Division, Medicines and Healthcare Products Regulatory Agency, London, United Kingdom
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Mark Ashworth
1King’s College London, Primary Care and Public Health Sciences, London, United Kingdom
DM
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Judith Charlton
1King’s College London, Primary Care and Public Health Sciences, London, United Kingdom
MSc
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Paul Little
5Division of Community Clinical Sciences, University of Southampton, Southampton, United Kingdom
DM
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Michael V. Moore
5Division of Community Clinical Sciences, University of Southampton, Southampton, United Kingdom
DM
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Lucy Yardley
5Division of Community Clinical Sciences, University of Southampton, Southampton, United Kingdom
PhD
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Article Information

vol. 12 no. 4 344-351
DOI 
https://doi.org/10.1370/afm.1659
PubMed 
25024243

Published By 
The Annals of Family Medicine
Print ISSN 
1544-1709
Online ISSN 
1544-1717
History 
  • Received for publication October 14, 2013
  • Revision received March 4, 2014
  • Accepted for publication March 29, 2014
  • Published online July 14, 2014.

Copyright & Usage 
© 2014 Annals of Family Medicine, Inc.

Author Information

  1. Martin C. Gulliford, MA, FFPH1,
  2. Tjeerd van Staa, PhD2,3,
  3. Alex Dregan, PhD1⇑,
  4. Lisa McDermott, PhD5,
  5. Gerard McCann2,
  6. Mark Ashworth, DM1,
  7. Judith Charlton, MSc1,
  8. Paul Little, DM5,
  9. Michael V. Moore, DM5 and
  10. Lucy Yardley, PhD5
  1. 1King’s College London, Primary Care and Public Health Sciences, London, United Kingdom
  2. 2Clinical Practice Research Datalink (CPRD) Division, Medicines and Healthcare Products Regulatory Agency, London, United Kingdom
  3. 3London School of Hygiene & Tropical Medicine, London, United Kingdom
  4. 4Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
  5. 5Division of Community Clinical Sciences, University of Southampton, Southampton, United Kingdom
  1. CORRESPONDING AUTHOR: Alex Dregan, PhD, Department of Primary Care and Public Health Sciences, King’s College London Capital House, 42 Weston St, London SE1 3QD UK, alexandru.dregan{at}kcl.ac.uk

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Electronic Health Records for Intervention Research: A Cluster Randomized Trial to Reduce Antibiotic Prescribing in Primary Care (eCRT Study)
Martin C. Gulliford, Tjeerd van Staa, Alex Dregan, Lisa McDermott, Gerard McCann, Mark Ashworth, Judith Charlton, Paul Little, Michael V. Moore, Lucy Yardley
The Annals of Family Medicine Jul 2014, 12 (4) 344-351; DOI: 10.1370/afm.1659

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Electronic Health Records for Intervention Research: A Cluster Randomized Trial to Reduce Antibiotic Prescribing in Primary Care (eCRT Study)
Martin C. Gulliford, Tjeerd van Staa, Alex Dregan, Lisa McDermott, Gerard McCann, Mark Ashworth, Judith Charlton, Paul Little, Michael V. Moore, Lucy Yardley
The Annals of Family Medicine Jul 2014, 12 (4) 344-351; DOI: 10.1370/afm.1659
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  • Optimising antimicrobial stewardship interventions in English primary care: a behavioural analysis of qualitative and intervention studies
  • Peritonsillar Abscess and Antibiotic Prescribing for Respiratory Infection in Primary Care: A Population-Based Cohort Study and Decision-Analytic Model
  • Theory-based electronic learning intervention to support appropriate antibiotic prescribing by nurse and pharmacist independent prescribers: an acceptability and feasibility experimental study using mixed methods
  • Theory-based electronic learning intervention to support appropriate antibiotic prescribing by nurses and pharmacists: intervention development and feasibility study protocol
  • Examining influences on antibiotic prescribing by nurse and pharmacist prescribers: a qualitative study using the Theoretical Domains Framework and COM-B
  • Effectiveness and safety of electronically delivered prescribing feedback and decision support on antibiotic use for respiratory illness in primary care: REDUCE cluster randomised trial
  • Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study
  • Advances in optimizing the prescription of antibiotics in outpatient settings
  • Electronically delivered, multicomponent intervention to reduce unnecessary antibiotic prescribing for respiratory infections in primary care: a cluster randomised trial using electronic health records--REDUCE Trial study original protocol
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Subjects

  • Domains of illness & health:
    • Acute illness
  • Methods:
    • Quantitative methods
  • Other topics:
    • Health informatics
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Keywords

  • primary health care
  • antibiotic
  • respiratory tract infection
  • randomized controlled trial
  • electronic health records

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