A systematic review to investigate the effect of digital antimicrobial stewardship tools on antimicrobial usage, length of stay, mortality and cost
Notice bibliographique
Résumé
Abstract Introduction Antimicrobial drug resistance has been recognised by the World Health Organisation as ‘One of the biggest threats to global health today’.1 As the use of digital systems in the NHS increases, there is huge potential to use systems such as electronic prescribing and clinical decision support as part of Antimicrobial Stewardship Programmes (ASPs) i.e., initiatives to change prescribing practices to promote and monitor use of antimicrobials and preserve their future effectiveness. However, there is a lack of research that has investigated the impact of digital tools as part of ASPs. Aim We aimed to review the literature available on the use of digital antimicrobial stewardship tools on individual outcomes such as antimicrobial usage, length of stay, mortality and cost. Methods A systematic search was performed across three databases (Embase, MEDLINE and CINAHL) using MESH terms and key words relating to antimicrobial stewardship, hospitals, length of stay (LOS), clinical outcomes, cost and mortality. Duplicates were removed and articles screened at the title, abstract and full text stage by two authors (NT and RK) according to our inclusion and exclusion criteria. We included primary research articles that: had implemented an ASPs in an adult hospital setting for at least 6 months, reported antimicrobial usage as defined daily dose per 1000 patient days (DDD/1000) and at least one of the following outcomes: LOS, mortality or cost and discussed an ASP that included a digital component. Risk of bias assessment was performed using the Newcastle-Ottawa scale. We calculated the percentage change to determine the impact of digital ASPs across all outcomes using the formula (After - Before)/Before x 100 = % Change. Before=pre-implementation results; after= results post-implementation Results We identified 3997 papers across all databases, and included 14 full texts that explored the impact of ASPs including a digital component (Figure 1). Of these, 14 papers reported the DDD/1000, 7 on mortality, 8 on LoS and 6 reported on cost. All studies evaluating DDD/1000 reported a decrease in antimicrobial usage ranging from -8.42% to -61.30%. Reductions in mortality (0 to -79%), LoS (25 to -27%) and costs (-8.42% to -69.19%) were also found. All ASPs utilised a digital component alongside a range of other interventions, such as the creation of formularies, guidelines and education emphasising the importance of using a combined approach in antimicrobial stewardship. Different interventions were found to have their own advantages, for example, education was key to sustainability and feedback was essential to improve prescribing practices. Users of the digital tools found that the tools were generally simple and user friendly, which facilitated their acceptance. Conclusion Our found that ASPs including a digital component were associated with reductions in antimicrobial usage, mortality, length of stay and cost. The positive effects were seen when such tools were combined with other approaches such as education and feedback approaches. We were unable to perform a meta-analysis due to the absence of confidence intervals and odds ratios in many of the included studies. Further research is needed to evaluate the cost-benefit associated with digital ASPs and whether sharing ASPs across multiple sites could reduce the maintenance burden for individual organisations. References 1. World Health Organisation (2020), Antibiotic Resistance Factsheet, https://www.who.int/news-room/fact-sheets/detail/antibiotic-resistance [accessed on 18th October 2020]
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,023 | 0,106 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,015 | 0,013 |
| Bibliométrie | 0,020 | 0,019 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».