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Developing a data-enabled nudge intervention for childhood antibiotics in primary care: a qualitative study
Oliver Van Hecke1, Aleksandra Borek2, Christopher Butler2
1Department of Public Health and Primary Care, Ghent University, Ghent, Belgium oliver.vanhecke@ugent.be.
Insights
A new intervention prompts clinicians about a child's antibiotic history for respiratory infections to optimize prescribing. This approach was found acceptable and feasible for parents and doctors, aiding antimicrobial stewardship.
Area of Science:
- Pediatrics
- General Practice
- Infectious Diseases
Background:
- Preschool children have high antibiotic prescribing rates for acute respiratory tract infections (RTIs).
- A child's antibiotic history for RTIs may predict re-consultations and workload in primary care.
Purpose of the Study:
- To develop a data-enabled intervention to optimize antibiotic prescribing for acute RTIs in general practice.
- The intervention leverages a child's antibiotic history.
Main Methods:
- A two-phase qualitative study involved parents and primary care clinicians in England.
- Intervention co-design included focus groups and interviews; phase 2 involved clinician feedback on the integrated intervention.
Main Results:
- A data-driven intervention was co-created, integrating antibiotic history and a personalized leaflet into electronic medical records.
- Parents and clinicians found the intervention acceptable and feasible.
- Clinicians noted the prompt's novelty and usefulness in reviewing past antibiotic prescriptions.
Conclusions:
- Interventions integrated into practice workflows can be scaled to promote antimicrobial stewardship.
- This approach can reduce unnecessary antibiotic use in primary care.
- Further research is planned to test the intervention in a trial.
Background:
Preschool children (aged ≤5 years) have the highest antibiotic prescribing rate in general practice, mostly for self-limiting acute respiratory tract infections (RTIs). Research from >250 000 UK children suggests that a child's antibiotic history for RTI may be a good predictor for re-consulting a health professional for the same illness episode and increased clinical workload.
Aim:
To develop a data-enabled nudge intervention to optimise antibiotic prescribing for acute RTI based on a child's antibiotic history in general practice.
Design & Setting:
Two-phase qualitative study with parents or carers of preschool children and primary care clinicians in England.
Method:
In phase 1, through an initial focus group with eight parents or carers and 'think-aloud' interviews with 11 clinicians, we co-designed the intervention (computer-screen prompt and personalised consultation leaflet). In phase 2, 13 clinicians used the intervention, integrated into the GP computer software, and shared their feedback through 'think-aloud' interviews. Interviews were audio-recorded, transcribed, and analysed thematically.
Results:
We co-created a data-driven intervention that automatically integrates a child's antibiotic history for acute RTI and personalised leaflet into the electronic medical records. We found that parents and clinicians found this intervention, in principle, acceptable and feasible to use in primary care consultations. GP participants reflected on the prompt's novelty and its usefulness of taking stock of the number of antibiotic prescriptions a child has had in the past year.
Conclusion:
Delivering such interventions, integrated into practice workflow, could be efficiently scaled up to promote effective antimicrobial stewardship and reduce unnecessary antibiotic use in primary care. Further research will test this intervention in a future trial.
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