An intervention modelling experiment to change GPs' intentions to implement evidence-based practice: using theory-based interventions to promote GP management of upper respiratory tract infection without prescribing antibiotics
2008

Changing GPs' Antibiotic Prescribing for URTI

Sample size: 340 publication 10 minutes Evidence: moderate

Author Information

Author(s): Hrisos Susan, Eccles Martin, Johnston Marie, Francis Jill, Kaner Eileen FS, Steen Nick, Grimshaw Jeremy

Primary Institution: Institute of Health and Society, Newcastle University, UK

Hypothesis

Do the theory-based interventions influence GPs' behavioural intention and/or their simulated behaviour in the management of URTI without prescribing antibiotics?

Conclusion

The study found that GPs' intended management of URTI was significantly influenced by their confidence in managing without antibiotics and the anticipated consequences of doing so.

Supporting Evidence

  • Post-intervention questionnaires were returned for 340 out of 397 GPs who responded to the baseline survey.
  • Intervention 2 significantly improved GPs' intentions not to prescribe antibiotics.
  • GPs who received the Graded Task intervention reported greater self-efficacy.
  • Behavioural simulation scores showed a significant reduction in antibiotic prescribing after the interventions.

Takeaway

The study tested two ways to help doctors feel more confident about not giving antibiotics for colds, and one method worked better than the other.

Methodology

A 2 × 2 factorial randomised controlled trial with postal questionnaires to measure GPs' beliefs and behaviours regarding URTI management.

Potential Biases

Potential bias due to self-reported measures of behaviour.

Limitations

The initial response rate was low at 32%, which may affect the generalizability of the findings.

Participant Demographics

Participants were GPs from 13 Primary Care Trusts in the North East region of the UK, with a mean qualification of 19.9 years.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI: 0.41 to 1.38

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1472-6963-8-10

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