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Enregistrement W3184090280 · doi:10.1111/1742-6723.13777

Should <scp>the Australasian College for Emergency Medicine</scp> advocate for <scp>time‐based targets</scp> in our emergency departments?

2021· editorial· en· W3184090280 sur OpenAlexaboutno aff
Peter Jones, Katie Walker

Notice bibliographique

RevueEmergency Medicine Australasia · 2021
Typeeditorial
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMedical emergencyFamily medicineEmergency medicine

Résumé

récupéré en direct d'OpenAlex

Time-based targets (TBTs) for ED length of stay (LOS) in Australia and New Zealand (NZ) are based on the English model known as the ‘Four Hour Rule’, which arose in response to concerns that prolonged ED LOS was associated with poor patient outcomes. There is a large body of evidence that suggests that long waits to assessment and admission are associated with an increased rate of adverse events, including excess mortality.1 By 2011, every jurisdiction in Australia and NZ had a policy that a proportion of patients presenting to the ED should be discharged home or admitted to an inpatient ward within 4 h (Australia) or 6 h (NZ).2 The Australasian College for Emergency Medicine (ACEM) has taken the position that TBTs are a useful tool to drive systematic changes in care and improve patient journeys. Clinicians, however, have expressed concerns about the potential negative impacts of TBTs on patients and staff. In 2018, ACEM asked a team of experts to convene to review all available research literature on TBTs. The aim was to work out whether targets were effective in improving patient quality of care and whether ACEM should be advocating for targets when lobbying governments and health departments regarding reducing access block. The team who undertook this analysis consisted of emergency physicians from NZ, and from most states and territories of Australia (including rural, regional and urban representatives); as well as non-FACEM health service researchers; consumers; and inpatient specialists. Since TBTs were initially introduced, multiple studies have been published. The research team were able to review data from nearly 50 studies, including over 34 million patients from Australia, Canada, England, Ireland and NZ. Despite massive patient numbers in studies, the quantitative evidence in the literature informing this review was mostly low and, in some cases, very low quality. This is typical for evaluations of complex health service interventions. The strongest and most consistent finding was that targets were associated with a reduction in ED LOS for admitted patients and reduced access block. Other positive findings include a significant reduction in the proportion of patients who ‘did-not-wait’.3 Targets may also save lives. High quality evidence from NZ demonstrated a significant reduction in mortality for patients in ED after the introduction of targets, but no effect on mortality for inpatients or post-discharge. Some studies from Australia and Ireland showed that targets were associated with small to moderate reductions in mortality for in-patients but results were inconsistent and some studies were considered to be of very low quality. There was not a clear, consistent association between TBTs and reduction in mortality for patients after discharge across different sites in Australia, NZ and Ireland. Although there were some studies showing a strong positive association between targets and reduction in mortality, differing findings between settings indicates that there is variability in how targets have been implemented and the impact of targets. Where TBTs are used as a goal to drive whole-of-hospital changes, such as improving inpatient bed capacity, ED crowding is reduced and patients experience better outcomes. The qualitative data supports the interpretation that targets have a positive impact on quality of care when they are used to drive whole-of-hospital systems reforms and are supported by adequate resourcing including funding and staffing. Potential negative impacts of the targets occur when achieving the target is prioritised over patient care activities, and staff suffer increased workload and reduced morale.2 After undertaking the review, physician members of the research team individually undertook a structured appraisal process to determine whether TBTs were something that ACEM should pursue. A consensus was reached that targets should be used. This was conditional on appropriate safeguards being built into the performance measurement regimen, both at local and regional levels, to reduce gaming.4 We hope that the evidence provided in the systematic reviews2, 3 will redirect conversations about targets towards how to improve patient care rather than arguing about the usefulness of targets. There is considerable heterogeneity in the detail of targets and the regimes implemented around them in different jurisdictions. This raises the questions: which targets? and which thresholds should be used? ED LOS is most associated with safety, effectiveness of care and equity compared to alternate measures of patient flow and is likely to be the best performing metric.1 Unachievable targets that have short time frames and high thresholds, coupled with excessive top-down pressure and financial incentives will lead to a high risk of target gaming.5 If these traps are avoided, then the exact details of the target become less important. The key factor is that all actors within the system understand the rationale for the target (to improve patient outcomes by improving acute care systems) and work together to improve their system of care. This requires state and/or national government support, local health authority attention and most importantly engagement of acute care clinicians in the hospital and the ED. Get this right and whichever target is chosen will look after itself. Targets fail when there is insufficient understanding of the rationale for them and there is too much focus on the number rather than the process of system improvement. It is important to remember that TBTs were never intended to be the only way to measure quality of care in an ED. They should be used in conjunction with a suite of acute care quality indicators chosen for local relevance, preferably using a quality indicator appraisal tool designed for that purpose.6 On the basis of this body of work, ACEM reviewed its policy position on TBTs for Australian and NZ EDs. The weight of the evidence suggests that TBTs stand to enhance the safety and quality of emergency care, but must be implemented using sufficiently resourced, whole-of-hospital approaches to systems improvement. PJ has received funding for TBTs research from the Health Research Council of New Zealand. ACEM provided infrastructure and administrative support for the review of TBTs. We would like to acknowledge Nicola Ballenden, Allison Roper, Helena Mayer, Frances Sutherland, Lee Moskwa and Sarah Smith for their help to enable the successful completion of this work. PJ and KW have published research on TBTs and are emergency physicians working in Australian and NZ EDs. PJ and KW are section editors for Emergency Medicine Australasia.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,034
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Intégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,280
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,034
Méta-épidémiologie (sens strict)0,0040,003
Méta-épidémiologie (sens large)0,0060,003
Bibliométrie0,0020,004
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,044
Tête enseignante GPT0,365
Écart entre enseignants0,321 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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