Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Jan 18;13(1):e062688.
doi: 10.1136/bmjopen-2022-062688.

Nudge interventions to reduce unnecessary antibiotic prescribing in primary care: a systematic review

Affiliations

Nudge interventions to reduce unnecessary antibiotic prescribing in primary care: a systematic review

Magdalena Z Raban et al. BMJ Open. .

Abstract

Objectives: Antibiotic prescribing in primary care contributes significantly to antibiotic overuse. Nudge interventions alter the decision-making environment to achieve behaviour change without restricting options. Our objectives were to conduct a systematic review to describe the types of nudge interventions used to reduce unnecessary antibiotic prescribing in primary care, their key features, and their effects on antibiotic prescribing overall.

Methods: Medline, Embase and grey literature were searched for randomised trials or regression discontinuity studies in April 2021. Risk of bias was assessed independently by two researchers using the Cochrane Effective Practice and Organisation of Care group's tool. Results were synthesised to report the percentage of studies demonstrating a reduction in overall antibiotic prescribing for different types of nudges. Effects of social norm nudges were examined for features that may enhance effectiveness.

Results: Nineteen studies were included, testing 23 nudge interventions. Four studies were rated as having a high risk of bias, nine as moderate risk of bias and six as at low risk. Overall, 78.3% (n=18, 95% CI 58.1 to 90.3) of the nudges evaluated resulted in a reduction in overall antibiotic prescribing. Social norm feedback was the most frequently applied nudge (n=17), with 76.5% (n=13; 95% CI 52.7 to 90.4) of these studies reporting a reduction. Other nudges applied were changing option consequences (n=3; with 2 reporting a reduction), providing reminders (n=2; 2 reporting a reduction) and facilitating commitment (n=1; reporting a reduction). Successful social norm nudges typically either included an injunctive norm, compared prescribing to physicians with the lowest prescribers or targeted high prescribers.

Conclusions: Nudge interventions are effective for improving antibiotic prescribing in primary care. Expanding the use of nudge interventions beyond social norm nudges could reap further improvements in antibiotic prescribing practices. Policy-makers and managers need to be mindful of how social norm nudges are implemented to enhance intervention effects.

Keywords: INFECTIOUS DISEASES; PRIMARY CARE; Public health; Quality in health care; Respiratory infections.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart of search and screening results. *One study had two publications.
Figure 2
Figure 2
Implementation features of social norm feedback nudge interventions.
Figure 3
Figure 3
Harvest plot of effects of nudge interventions targeting antibiotic prescribing in primary care on overall antibiotic prescribing. Each mark or column represents one nudge intervention. Column height represents the risk of bias in the study: tallest columns are studies with low risk of bias; medium columns are moderate risk of bias; short columns are high risk of bias.
Figure 4
Figure 4
Harvest plot of effects of social norm feedback nudge interventions on overall antibiotic prescribing by implementation features. Each mark or column represents one nudge intervention. Column height represents the risk of bias of the study: tallest columns are studies with low risk of bias; medium columns are moderate risk of bias; short columns are high risk of bias.

References

    1. Jee Y, Carlson J, Rafai E, et al. . Antimicrobial resistance: a threat to global health. Lancet Infect Dis 2018;18:939–40. 10.1016/S1473-3099(18)30471-7 - DOI - PubMed
    1. Van Boeckel TP, Gandra S, Ashok A, et al. . Global antibiotic consumption 2000 to 2010: an analysis of national pharmaceutical sales data. Lancet Infect Dis 2014;14:742–50. 10.1016/S1473-3099(14)70780-7 - DOI - PubMed
    1. World Health Organization . Model List of Essential Medicines, 21st List. Geneva: WHO, 2019.
    1. Klein EY, Milkowska-Shibata M, Tseng KK, et al. . Assessment of who antibiotic consumption and access targets in 76 countries, 2000-15: an analysis of pharmaceutical sales data. Lancet Infect Dis 2021;21:107–15. 10.1016/S1473-3099(20)30332-7 - DOI - PubMed
    1. Arnolda G, Hibbert P, Ting HP, et al. . Assessing the appropriateness of paediatric antibiotic overuse in Australian children: a population-based sample survey. BMC Pediatr 2020;20:185. 10.1186/s12887-020-02052-6 - DOI - PMC - PubMed

Publication types

Substances