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Enregistrement W3121860635 · doi:10.3905/jot.2007.694832

The Transaction Costs of Risk Management vs. Speculation in an Electronic Trading Environment

2007· article· en· W3121860635 sur OpenAlexaff
Lorne N. Switzer, Haibo Fan

Notice bibliographique

RevueThe Journal of Trading · 2007
Typearticle
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensConcordia University
Organismes subventionnairesnon disponible
Mots-clésMedicineOdds ratioLogistic regressionEconomic shortageVital signsEmergency medicineInternal medicineOddsFamily medicineSurgery

Résumé

récupéré en direct d'OpenAlex

ABSTRACT Introduction Emergency care (EC) capacity is limited by physician shortages in low- and middle-income countries like Uganda. Task-sharing — delegating tasks to more narrowly trained cadres — including EC nonphysician clinicians (NPCs) is a proposed solution. However, little data exists to guide emergency medicine (EM) physician supervision of NPCs. This study’s objective was to assess the mortality impact of decreasing EM physician supervision of EC NPCs. Methods Retrospective analysis of prospectively collected data from an EC NPC training program in rural Uganda included three cohorts: “Direct” (2009-2010): EM physicians supervised all NPC care; “Indirect” (2010-2015): NPCs consulted EM physicians on an ad hoc basis; “Independent” (2015-2019): NPC care without EM physician supervision. Multivariable logistic regression analysis of three-day mortality included demographics, vital signs, co-morbidities and supervision. Sensitivity analysis stratified patients by numbers of abnormal vital signs. Results Overall, 38,344 ED visits met inclusion criteria. From the “Direct” to the “Unsupervised” period patients with ≥3 abnormal vitals (25.2% to 10.2%, p<0.001) and overall mortality (3.8% to 2.7%, p<0.001) decreased significantly. “Indirect” and “Independent” supervision were independently associated with increased mortality compared to “Direct” supervision (“Indirect” Odds Ratio (OR)=1.49 [95%CI 1.07 - 2.09], “Independent” OR=1.76 [95%CI 1.09 - 2.86]). The 86.2% of patients with zero, one or two abnormal vitals had similar mortality across cohorts, but the 13.8% of patients with ≥3 abnormal vitals had significantly reduced mortality with “Direct” supervision (“Indirect” OR=1.75 [95%CI 1.08 - 2.85], “Independent” (OR=2.14 [95%CI 1.05 - 4.34]). Conclusion “Direct” EM physician supervision of NPC care significantly reduced overall mortality as the highest risk ∼10% of patients had nearly 50% reduction in mortality. However, for the other ∼90% of ED visits, independent EC NPC care had similar mortality outcomes as directly supervised care, suggesting a synergistic model could address current staffing shortages limiting EC access and quality. SUMMARY BOX What is already known? Physician shortages and lack of specialty training limit implementation of emergency care and associated reductions in mortality in low- and middle-income countries (LMIC) such as Uganda. Task-sharing, often to non-physician clinicians, is proposed as a solution however data to support safe, effective training and physician supervision protocols is limited. What are the new findings? The highest risk 10% of emergency care patients have approximately a 50% reduction in mortality when non-physician clinicians are directly supervised by emergency medicine physicians. For most emergency care patients (the lowest risk 90%) independent emergency care by non-physician clinicians provides similar morality outcomes to direct supervision by an emergency medicine physician. What do the new findings imply? Training of both emergency care physicians and non-physician clinicians is essential, as physicians provide improved mortality outcomes, especially for the critically ill, and non-physician clinicians will help address lack of trained and available emergency care providers in a timely, cost-effective manner. Physician supervision of all emergency care is the penultimate goal, however non-physician clinicians can be trained to provide comparable morality outcomes for the vast majority of patients when practicing independently. Triage protocols are needed to identify high-risk emergency care patients, such as those with 3 or more abnormal vital signs, for early involvement of an emergency physician either directly, or through supervision of a non-physician clinician.

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)0,006
score de la tête « metaresearch » (Gemma)0,041
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,047
Score d'incertitude au seuil0,157

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,041
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0060,008
Science ouverte0,0010,003
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0470,002

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 Opus0,012
Tête enseignante GPT0,266
Écart entre enseignants0,254 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations2
Publié2007
Routes d'admission1
Résumé présentoui

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Même revueThe Journal of TradingMême sujetEmergency and Acute Care StudiesTravaux en français237 207