Developing a data-enabled nudge intervention for childhood antibiotics in primary care: a qualitative study.

Abstract

Background: Preschool children (aged≤5 years old) have the highest antibiotic prescribing rate in general practice, mostly for self-limiting acute respiratory tract infections (RTIs). Research from over 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 increase 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/carers of preschool children and primary care clinicians METHOD: In phase 1, through an initial focus group with eight parents/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 share 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.

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.