A Systematic Review of Dental Antibiotic Stewardship Interventions
Bibliographic record
Abstract
BACKGROUND: Antimicrobial resistance is a significant threat to global health. Antimicrobial stewardship is reducing inappropriate antimicrobial prescribing to counter it. Dentists prescribe ~10% of all antibiotics worldwide, yet up to 90% of antibiotic prescriptions by dentists are inappropriate. The aim of this systematic review was to update a 2017 review evaluating the effects of antibiotic stewardship interventions in dental settings, using the international consensus on core outcomes for dental antibiotic stewardship. METHODS: Systematic database searches were undertaken in April 2023, of the: Cochrane Oral Health Group Trials Register, Cochrane Central Register of Controlled Trials, MEDLINE via OVID, EMBASE via OVID, Dentistry and Oral Sciences Source, the US National Institutes of Health Trials Register, the World Health Organisation International Clinical Trials Registry Platform and the ISRCTN registry databases. Randomised controlled trials (or non-randomised studies with clearly reported mechanism of group formation and inclusion criteria) of interventions to optimise and/or reduce dental antibiotic prescribing were eligible for inclusion. Two authors independently screened for eligible studies. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool, certainty of evidence assessed using GRADE. Meta-analysis was planned whether the results of studies reported similar outcomes, otherwise narrative synthesis was undertaken. RESULTS: Three eligible studies randomising 2148 participants were included. The interventions were combinations of education, audit and feedback and written behaviour change messages, guideline summary, practice visits and patient leaflets. None of the control groups received an intervention. All three included studies measured the quantity of antibiotics prescribed and two measured the appropriateness of prescribing. None measured patient-reported or adverse outcomes. Two included studies were assessed as 'high risk' and one with 'low risk' of bias. There was high-certainty evidence that audit and personalised feedback with individualised behaviour change messages can be effective. Evidence for in-person education was low-certainty. Guideline dissemination alone was ineffective at improving antibiotic prescribing. Due to different outcomes reported, meta-analysis was inappropriate. CONCLUSION: Although various dental antibiotic stewardship interventions have been reported in the literature, only three have been evaluated using a randomised design, of which only one provided high certainty evidence. To strengthen the body of evidence, well-powered, robust, randomised controlled trials are required, with adequate follow-up, reporting the internationally-agreed core outcomes and including a parallel process evaluation is recommended. TRIAL REGISTRATION: PROSPERO (CRD42023411476).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".