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Enregistrement W4400983071 · doi:10.1097/01.asm.0001027500.77656.87

Record Number of Anesthesiology Positions Filled in 2024 Match Year

2024· article· en· W4400983071 sur OpenAlexaboutno aff
Jennifer Rock-Klotz, Thomas R. Miller

Notice bibliographique

RevueASA Monitor · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiac, Anesthesia and Surgical Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAnesthesiologyMedicineAnesthesia

Résumé

récupéré en direct d'OpenAlex

ASA's Center for Anesthesia Workforce Studies (CAWS) reports trends in anesthesiology resident matches based on the National Resident Matching Program (NRMP) Results and Data report published in May or June each year (asamonitor.pub/2Sm1t96). This report summarizes data on candidates who filled residency positions between 2005 and 2024. Resident match data prior to 2005 are available in the August 2018 ASA Monitor (ASA Monitor 2018;82:42-6). Match results signaled strong demand for anesthesiology residency programs. Key metrics include growth in the number of applicants and positions, increase in the percentages of positions filled, and almost 50% of applicants not matched. Overall, 4,533 candidates applied for 2,146 anesthesiology positions and filled all but two positions.a The total number of anesthesiology positions increased 13% between 2020 and 2024. Table 1 summarizes the total number of applicants and the type of candidates who matched into anesthesiology programs between 2015 and 2024 (e.g., U.S. allopathic seniors, osteopathic students or graduates, and international).a In 2024, 2,144 candidates matched, a 14% increase over 2020; it was the greatest number of matched candidates into the specialty in at least 50 years. The percentage of anesthesiology matches by U.S. allopathic seniors and osteopathic students or graduates ranges from 80%-85% between 2020 and 2024. For all other specialties, in aggregate, the percentage of matches by U.S. allopathic seniors and osteopathic students or graduates varied between 72%-75% between 2020 and 2024. From 2015 to 2017 the number of international medical graduates (IMGs) matched into anesthesiology increased substantially. In 2021, IMGs significantly decreased by 20% compared to 2020, and remained relatively flat, with a small increase in 2024 of 10%. In 2024, 9% of IMGs matched, compared to 11% in 2020.There have been only three years since 2005 where the number of candidates matched did not increase; the last time was in 2016. Between 2016 and 2024, the number increased by 34% (Figure 1), and is comparable to the number of matches increased in orthopedic surgery and general surgery programs in the same period, of 28% and 38%, respectively (not shown). In 2024, the number of anesthesiology applicants increased by 22% compared to 2020 (Figure 2). The number of anesthesiology programs more than doubled in the last two decades, with a reported 72 programs in 2005 and 178 programs in 2024 (data not shown).Since 2005, anesthesiology residency programs have filled more than 93% of positions each year. The anesthesiology position fill rate was greater than 99% from 2020 through 2024 match years (Figure 3). The anesthesiology position fill rate in 2024 was comparable to several specialties, including orthopedic surgery, diagnostic radiology, general surgery, neurology, obstetrics-gynecology, and psychiatry (Figure 4). Of those shown in the figure, family medicine had the lowest percentage of residency positions filled (88%).Trends in Ranking Applicants to PGY-1 Programs In 2024, all but one position was filled across PGY-1 anesthesiology programs, with 1,705 candidates matched. The number of PGY-1 anesthesiology positions increased 24% between 2020 and 2024 (not shown). When evaluating the percentage of non-matched candidates to PGY-1 programs with more than 200 ranking applicants in the 2024 match year, anesthesiology positioned 13th out of 26 total programs with 45% non-matched in PGY-1 programs (sorted in descending order). Emergency medicine had the lowest percentage of non-matched and (preliminary) obstetrics and gynecology had the highest, 19% versus 95%, respectively (not shown). Trends in anesthesiology resident match results are useful for indicating an increase to the supply pipeline and may represent a lagging indicator of demand for the specialty. Based on estimates by CAWS of CMS and other datasets, the supply increases have been enough to counter attrition (i.e., those that leave or retire), between 2018 and 2023, such that the supply of anesthesiologists has continued to increase. This report shows that the overall total number of matched candidates continues to grow; however, the percentage of matched U.S. allopathic seniors and osteopathic students or graduates has decreased by 3 percentage points in 2024 compared to 2023.The number of anesthesiology residency positions has almost doubled since 2005. The position fill rate in the last decade ranged between 94% and greater than 99% – reflecting a consistently strong preference for the specialty. a Historically, CAWS has included applicant counts based on NRMP reporting, however, further investigation by CAWS indicates that NRMP applicant counts do not capture the unique number of residency program applicants due to two mechanisms: First, only applicants (i.e., active applicants) that submit a certified rank order list of programs are represented, and second, applicants can match into a preliminary postgraduate year 1 (PGY-1) and advanced postgraduate year 2 / clinical anesthesia year 1 (PGY-2 / CA-1) in tandem (asamonitor.pub/3qTIhR2), which attributes to some double counting of applicants. To ensure that unique applicant counts are presented, this and future reports will include data based on supplemental information provided by the Association of American Medical Colleges (AAMC) Electronic Residency Application Service® (ERAS®) (asamonitor.pub/4bQkunJ).EXHIBIT Definitions of Applicant and Position Types Applicant Types 5th Pathway (Graduate of Fifth Pathway Program) – Graduate of a U.S. Fifth Pathway program. Canadian (Student/Graduate of Canadian Medical School) – Senior student or graduate of a Canadian school of medicine accredited by the Committee on Accreditation of Canadian Medical Schools (CACMS). Non-U.S. IMG (Non-U.S. Citizen Student/Graduate of International Medical School) – Non-U.S. citizen who attended an international medical school. Osteopathic Senior – Senior student of a medical school accredited by the Commission on Osteopathic College Accreditation (COCA). U.S. Grad (Previous Graduate of U.S. Allopathic or Osteopathic Medical School) –Either a graduate of a U.S. allopathic school of medicine accredited by the LCME with a graduation date before July 1 in the year before the Match (the medical school does not sponsor previous U.S. graduates), or a graduate of a medical school accredited by COCA. U.S. IMG (U.S. Citizen Student/Graduate of International Medical School) – U.S. citizen who attended an international medical school. U.S. Senior (Senior student of U.S. Allopathic Medical School) – Fourth-year medical student in a U.S. allopathic school of medicine accredited by the Liaison Committee on Medical Education (LCME) with a graduation date after July 1 in the year before the Match. U.S. seniors are sponsored by their medical schools. Program Types PGY-1 – Post-graduate year one programs. PGY-2/CA-1 – Post-graduate year two and/or clinical anesthesia year one programs. Physician (R) – Programs reserved for physicians who have had prior graduate medical education. Reserved programs offer PGY-2 positions that begin in the year of the Match and thus are not available to senior medical students. Jennifer A. Rock-Klotz, MBA, ASA Analytics and Research Services ManagerThomas R. Miller, PhD, MBA, ASA Director of Analytics and Research Services ASA Director of the Center for Anesthesia Workforce Studies

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)0,001
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,035
Score d'incertitude au seuil0,115

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,004
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0350,022

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 GPT0,306
Écart entre enseignants0,294 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2024
Routes d'admission1
Résumé présentoui

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