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Enregistrement W4387219070 · doi:10.51731/cjht.2023.746

Perspectives and Experiences Regarding the Impacts of Emergency Department Overcrowding: A Rapid Qualitative Review

2023· article· en· W4387219070 sur OpenAlexaboutno aff
Jamie Anne Bentz, Francesca Brundisini, Danielle MacDougall

Notice bibliographique

RevueCanadian Journal of Health Technologies · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOvercrowdingEmergency departmentHarmMedicineHealth careDignityBurnoutNursingPsychologyMedical emergencySocial psychologyClinical psychologyPolitical science

Résumé

récupéré en direct d'OpenAlex

This review used a rapid best-fit framework analysis approach to synthesize 9 included studies exploring how people who engage with emergency department (ED) services experience and understand the impacts of ED overcrowding, access block, and boarding on quality of care, patient safety, and the well-being of health care professional learners and staff working in the ED. None of the included studies were conducted in Canada. The included studies detailed how people who engage with ED services understand the ED as a location that is appropriate for providing short-term treatment to people requiring critical or emergent care, but inappropriate for providing care to patients for extended lengths of time. Study participants described experiencing ED overcrowding, boarding, and access block as transforming the ED into an unsafe environment where the risk of avoidable patient harm increased due to the accelerated depletion of available equipment, space, and human resources. They observed that this unsafe environment led to patients experiencing delayed, missed, and inappropriate care, resulting in potential or actual physical harm, threats to their human rights and dignity, exposures to secondary suffering, reduced satisfaction, and worsening emotional and psychological states. Participants reported that ED overcrowding, access block, and boarding had, for the most part, negative impacts on health care professional learners and staff working in the ED. Some ED staff reported that these phenomena led them to experience increased exposure to violence and physical harm, emotional and moral distress, dimensions of burnout, and/or missed learning opportunities for health care professional learners. Some ED staff reported experiences of camaraderie and collaboration necessarily forged as a coping mechanism to manage adversity in the context of overcrowding. Amid the challenges experienced within their practice setting, some experienced staff also perceived overcrowding as providing opportunities to exercise and expand their existing knowledge and skills. Considering these findings, decision-makers seeking to address the adverse impacts of ED overcrowding, access block, and boarding on quality of care and patient safety may explore facilitating the integration of routine preventive care into ED processes; enhancing communication within the ED; optimizing available equipment and space; giving patients information before and during their stay to manage their expectations; and enhancing staff’s access to education and resources necessary to better address the needs of patients who frequently experience extended stays in the ED and require specialized care beyond that which ED staff typically have the training and experience to provide. They may prioritize interventions that alleviate, rather than add to, the workload of ED staff. Additionally, they may assess and explore working conditions in the ED with a lens of promoting the well-being and retention of ED staff. By drawing on the findings of this review, they may, for example, consider exploring how to incentivize senior staff to remain in their positions, enhance learning opportunities for health care professional learners, and promote interprofessional collaboration. They may also consider investigating and addressing systemic factors contributing to overcrowding, access block, and the recruiting and retaining of health care providers in their jurisdictions. Decision-makers may also further explore how proposed interventions might address or exacerbate ethical and equity issues raised by ED overcrowding, including: the fair and equitable allocation of scarce resources; harms and forgone benefits to patients, health care providers, and other hospital staff; and inequitable access to and experience of ED care by patients, including impacts on patients’ dignity, relationships with care providers, and trust in EDs or health care systems. They may consider providing targeted support to groups identified as disproportionately at risk of harm in overcrowded EDs, including but not limited to: those requiring extended lengths of stay, those with limited agency to self-advocate or gain appropriate attention and care, those who are unable to perform activities of daily living, or those experiencing mental health emergencies. They also may consider that the included studies provided limited or no insight into the perspectives of people belonging to equity-deserving groups with a history of harm and lack of agency in the ED, including but not limited to: Indigenous people, Black people, and other people of colour; people with disabilities; people experiencing houselessness; those experiencing language barriers without access to a professional interpreter; and members of the 2SLGBTQ+ community. More research is needed to understand how these and other equity-deserving groups experience overcrowding, access block, and boarding as impacting their quality of care and safety.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,040
score de la tête « metaresearch » (Gemma)0,068
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,213

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0400,068
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0090,013
Études des sciences et des technologies0,0040,004
Communication savante0,0050,007
Science ouverte0,0020,006
Intégrité de la recherche0,0020,002
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 Opus0,073
Tête enseignante GPT0,408
Écart entre enseignants0,335 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreSynthèse

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

En bref

Citations13
Publié2023
Routes d'admission1
Résumé présentoui

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