Feedback of Antibiotic Prescribing in Primary Care (FAPPC) trial: results of a real-world cluster randomized controlled trial in Scotland, UK

Mailed feedback to primary care physicians on antibiotic prescribing for patients aged 65 years and older: pragmatic, factorial randomised controlled trial

OBJECTIVES

To evaluate whether providing family physicians with feedback on their antibiotic prescribing compared with that of their peers reduces antibiotic prescriptions. To also identify effects on antibiotic prescribing from case-mix adjusted feedback reports and messages emphasising antibiotic associated harms.

DESIGN

Pragmatic, factorial randomised controlled trial.

SETTING

Primary care physicians in Ontario, Canada PARTICIPANTS: All primary care physicians were randomly assigned a group if they were eligible and actively prescribing antibiotics to patients 65 years or older. Physicians were excluded if had already volunteered to receive antibiotic prescribing feedback from another agency, or had opted out of the trial.

INTERVENTION

A letter was mailed in January 2022 to physicians with peer comparison antibiotic prescribing feedback compared with the control group who did not receive a letter (4:1 allocation). The intervention group was further randomised in a 2x2 factorial trial to evaluate case-mix adjusted versus unadjusted comparators, and emphasis, or not, on harms of antibiotics.

MAIN OUTCOME MEASURES

Antibiotic prescribing rate per 1000 patient visits for patients 65 years or older six months after intervention. Analysis was in the modified intention-to-treat population using Poisson regression.

RESULTS

5046 physicians were included and analysed: 1005 in control group and 4041 in intervention group (1016 case-mix adjusted data and harms messaging, 1006 with case-mix adjusted data and no harms messaging, 1006 unadjusted data and harms messaging, and 1013 unadjusted data and no harms messaging). At six months, mean antibiotic prescribing rate was 59.4 (standard deviation 42.0) in the control group and 56.0 (39.2) in the intervention group (relative rate 0.95 (95% confidence interval 0.94 to 0.96). Unnecessary antibiotic prescribing (0.89 (0.86 to 0.92)), prolonged duration prescriptions defined as more than seven days (0.85 (0.83 to 0.87)), and broad spectrum prescribing (0.94 (0.92 to 0.95)) were also significantly lower in the intervention group compared with the control group. Results were consistent at 12 months post intervention. No significant effect was seen for including emphasis on harms messaging. A small increase in antibiotic prescribing with case-mix adjusted reports was noted (1.01 (1.00 to 1.03)).

CONCLUSIONS

Peer comparison audit and feedback letters significantly reduced overall antibiotic prescribing with no benefit of case-mix adjustment or harms messaging. Antibiotic prescribing audit and feedback is a scalable and effective intervention and should be a routine quality improvement initiative in primary care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04594200.

Community antibiotic prescribing in patients with COVID-19 across three pandemic waves: a population-based study in Scotland, UK

OBJECTIVES

This study aims to examine community antibiotic prescribing across a complete geographical area for people with a positive COVID-19 test across three pandemic waves, and to examine health and demographic factors associated with antibiotic prescribing.

DESIGN

A population-based study using administrative data.

SETTING

A complete geographical region within Scotland, UK.

PARTICIPANTS

Residents of two National Health Service Scotland health boards with SARS-CoV-2 virus test results from 1 February 2020 to 31 March 2022 (n=184 954). Individuals with a positive test result (n=16 025) had data linked to prescription and hospital admission data ±28 days of the test, general practice data for high-risk comorbidities and demographic data.

OUTCOME MEASURES

The associations between patient factors and the odds of antibiotic prescription in COVID-19 episodes across three pandemic waves from multivariate binary logistic regression.

RESULTS

Data included 768 206 tests for 184 954 individuals, identifying 16 240 COVID-19 episodes involving 16 025 individuals. There were 3263 antibiotic prescriptions ±28 days for 2395 episodes. 35.6% of episodes had a prescription only before the test date, 52.3% of episodes after and 12.1% before and after. Antibiotic prescribing reduced over time: 20.4% of episodes in wave 1, 17.7% in wave 2 and 12.0% in wave 3. In multivariate logistic regression, being female (OR 1.31, 95% CI 1.19 to 1.45), older (OR 3.02, 95% CI 2.50 to 3.68 75+ vs <25 years), having a high-risk comorbidity (OR 1.45, 95% CI 1.31 to 1.61), a hospital admission ±28 days of an episode (OR 1.58, 95% CI 1.42 to 1.77) and health board region (OR 1.14, 95% CI 1.03 to 1.25, board B vs A) increased the odds of receiving an antibiotic.

CONCLUSION

Community antibiotic prescriptions in COVID-19 episodes were uncommon in this population and likelihood was associated with patient factors. The reduction over pandemic waves may represent increased knowledge regarding COVID-19 treatment and/or evolving symptomatology.

Selection of proxy indicators estimating the appropriateness of antibiotic prescriptions in general practice: a national consensus procedure in France

Background

GPs are responsible for more than 70% of outpatient antibiotic prescriptions in France. Metrics are important antibiotic stewardship tools that can be used to set targets for improvement and to give feedback to professionals and stakeholders.

Objectives

The primary objective of the present study was to select a set of proxy indicators (PIs) based on 10 previously developed PIs, to estimate the appropriateness of antibiotic prescriptions by GPs. The secondary objective was to evaluate the clinimetric properties of the selected PIs.

Methods

A RAND-modified Delphi consensus procedure was conducted with a multidisciplinary panel of stakeholders. This procedure consisted of two successive online surveys with a consensus meeting in between. Clinimetric properties (measurability, applicability and potential room for improvement) were evaluated for the PIs selected through the consensus procedure, using 2022 Regional Health Insurance data.

Results

Seventeen experts participated in the first-round survey and 14 in the second-round. A final set of 12 PIs was selected. Among the 10 initial PIs, 3 were selected without modification and 7 were modified and selected. Moreover, two newly suggested PIs were selected. Ten of the 12 PIs presented good clinimetric properties.

Conclusions

The 12 selected PIs cover the main situations responsible for inappropriate and unnecessary use of antibiotics in general practice. These PIs, easily calculable using routinely collected health insurance reimbursement data, might be used to give feedback to prescribers and stakeholders and help improve antibiotic prescriptions in primary care.

GPs' Perspective on a Multimodal Intervention to Enhance Guideline-Adherence in Uncomplicated Urinary Tract Infections: A Qualitative Process Evaluation of the Multicentric RedAres Cluster-Randomised Controlled Trial

Urinary tract infections (UTIs) are among the most common reasons patients seeking health care and antibiotics to be prescribed in primary care. However, general practitioners' (GPs) guideline adherence is low. The RedAres randomised controlled trial aims to increase guideline adherence by implementing a multimodal intervention consisting of four elements: information on current UTI guidelines (1) and regional resistance data (2); feedback regarding prescribing behaviour (3); and benchmarking compared to peers (4). The RedAres process evaluation assesses GPs' perception of the multimodal intervention and the potential for implementation into routine care. We carried out 19 semi-structured interviews with GPs (intervention arm). All interviews were carried out online and audio recorded. For transcription and analysis, Mayring's qualitative content analysis was used. Overall, GPs considered the interventions helpful for knowledge gain and confirmation when prescribing. Information material and resistance were used for patient communication and teaching purposes. Feedback was considered to enhance reflection by breaking routines of clinical workup. Implementation into routine practice could be enhanced by integrating feedback loops into patient management systems and conveying targeted information via trusted channels or institutions. The process evaluation of RedAres intervention was considered beneficial by GPs. It confirms the convenience of multimodal interventions to enhance guideline adherence.