A systematic review of pharmacist-led audit and feedback interventions to influence prescribing behaviour in general practice settings
Notice bibliographique
Résumé
Abstract Introduction Audit and Feedback (A&F) involves measuring data about practice, comparing it with clinical guidelines, professional standards or peer performance, and then feeding back the data to individuals/groups of health professionals to encourage change in practice (if required). A 2012 Cochrane review (1) found A&F was effective in changing health professionals’ behaviour and suggested that the person who delivers the A&F intervention influences its effect. Increasingly, pharmacists work in general practice and often have responsibility for medication review and repeat prescriptions. The effectiveness of pharmacist-led A&F in influencing prescribing behaviour is uncertain. Aim This secondary analysis from an ongoing update of the original Cochrane review aims to identify and describe pharmacist-led A&F interventions and evaluate their impact on prescribing behaviour in general practice compared with no intervention. Methods This sub-review is registered with PROSPERO: CRD42020194355 and complies with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (2). For the updated Cochrane review, the Cochrane Effective Practice and Organization of Care Group searched MEDLINE (1946 to present), EMBASE, CINAHL and Cochrane Library (March 2019) to identify randomised trials featuring A&F interventions. For this sub-review, authors screened titles and abstracts (May 2020) to identify trials involving pharmacist-led A&F interventions in primary care, extracted data, and assessed risk of bias (RoB) in eligible studies. Review results are summarised descriptively. Heterogeneity will be assessed and a random-effects meta-analysis is planned. Publication bias for selected outcomes and the certainty of the body of evidence will be evaluated and presented. Sub-group analyses will be conducted. Results Titles and abstracts of 295 studies identified for inclusion in the Cochrane A&F review update were screened. Eleven studies (all cluster-randomised trials) conducted in 9 countries (Denmark, Italy, Netherlands, Norway, Republic of Ireland, UK, Australia, Malaysia, USA) were identified for inclusion (Figure 1). Six studies had low RoB, two had high risk due to dissimilarities between trial arms at baseline and/or insufficient detail about randomisation, and three studies had unclear RoB. Studies examined the effect of A&F on prescribing for specific conditions (e.g. hypertension), medications (e.g. antibiotics), populations (e.g. patients >70), and prescribing errors (e.g. inappropriate dose). The pharmacist delivering A&F was a colleague of intervention participants in five studies. Pharmacists’ levels of skill and experience varied; seven studies reported details of pharmacist training undertaken for trial purposes. A&F interventions in nine studies demonstrated changes in prescribing, including reductions in errors or inappropriate prescribing according to the study aims and smaller increases in unwanted prescribing compared with the control group. Data analyses are ongoing (results will be available for the conference). Conclusion The preliminary results demonstrate the effectiveness of pharmacist-led A&F interventions in different countries and health systems with influencing prescribing practice to align more closely with guidance. Studies measured different prescribing behaviours; meta-analysis is unlikely to include all 11 studies. Further detailed analysis including feedback format/content/frequency and pharmacist skill level/experience, work-base (external/internal to recipients), will examine the impact of specific features on intervention effectiveness. References 1. Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012(6):CD000259. 2. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,042 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».