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Enregistrement W4316084636 · doi:10.14309/01.ajg.0000862612.74580.a9

S1493 Impostor Phenomenon and Microaggression Education and Self-Assessment in Female Healthcare Professionals in the Field of Gastroenterology

2022· article· en· W4316084636 sur OpenAlexaboutno aff
Natalie Farha, Aline Charabaty, Anita Afzali, Carol A. Burke

Notice bibliographique

RevueThe American Journal of Gastroenterology · 2022
Typearticle
Langueen
DomainePsychology
ThématiquePerfectionism, Procrastination, Anxiety Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCompetence (human resources)FeelingDemographicsScale (ratio)Health professionalsHealth careFamily medicineMedical educationPsychologySocial psychology

Résumé

récupéré en direct d'OpenAlex

Introduction: Many high-achieving individuals, despite contrary evidence, believe their successes are due to luck rather than their own competence. This experience is termed “impostor phenomenon (IP).” IP and another experience, called micro-aggressions (MA), in the workplace may limit an individual’s ability to achieve career goals and professional satisfaction. A lecture was provided at a womens leadership conference to raise awareness about the prevalence of and strategies to mitigate IP and MA. Herein, we describe attendees’ assessment of their understanding of and exposure to IP and MA in order to understand the prevalence of these phenomena in female healthcare professionals and to guide future educational programming. Methods: Attendees were invited to complete an anonymous survey for self-reflection, including demographic information, experience with IP and micro-aggressions, and completion of the Clance IP Scale, a validated survey assessing the level of IP characteristics. Surveys were collected at the conclusion of the lecture on IP and MA. We report group demographics, prevalence of IP and MA, and factors associated with level of IP. Demographic data is reported as percentages and survey scores reported as means. Results: 86/132 (65%) attendees completed the survey and 97.7% were female. (Table 1) 50% were practicing gastroenterologists, 21.3% GI fellows, 13.8% medical residents, 6.3% advanced practice providers, and 1.3% medical students. 88.2% reported having experienced feelings of IP and 92.7% reported being a target of MA. The mean Clance IP scale score was 66.8 (ranging from 39 to 91). Only 1.2% of respondents reported few IP experiences while 69% scored in the frequent to intense feelings of IP. Black, younger, and medical trainee respondents had the highest IP scores compared to practicing gastroenterologists, advanced practice providers, and other respondents. IP scale scores decreased with age (Figure 1). Conclusion: Exposure to IP and MA is experienced almost universally by female healthcare professionals in the field of gastroenterology. IP is quantified as frequent and severe in nearly 3 of every 4 respondents. Based on our survey results, future educational programming to increase awareness of these issues and provide solutions to addressing them should be tailored towards early identification and intervention in trainees and young professionals as well as creating inclusive work environments that address systemic bias and fostering a work culture that supports diversity. Table 1. - Demographic Information and Clance Impostor Phenomenon Scale Scoring Demographics Age (N = 86) N (%) 25-30 15 (17.4%) 31-35 24 (27.9%) 36-40 19 (22.1%) 41-45 12 (14.0%) 45-50 10 (11.6%) 51-55 4 (4.7%) 56 and older 2 (2.3%) Gender (N = 86) Female 84 (97.7%) Male 2 (2.3%) Ethnicity (N = 86) Black or African American 2 (2.3%) Asian 33 (38.4%) White 41 (47.7%) Hispanic or Latino 5 (5.8%) Prefer not to answer 5 (5.8%) Current employment status (N = 80) Medical student 1 (1.3%) Medical resident 11 (13.8%) GI fellow 17 (21.3%) Practicing gastroenterologist 40 (50.0%) Advanced practice provider 5 (6.3%) Other 6 (7.5%) Practicing gastroenterologist years in practice (N = 39) 1-5 17 (43.6%) 6-10 9 (23.1%) 11-15 7 (17.9%) 16-20 3 (7.7%) 21 and more 3 (7.7%) Have you ever had feelings of Impostor Phenomenon? (N = 85) Yes 75 (88.2%) No 4 (4.7%) I don’t know 6 (7.1%) Have you ever been a target of micro-aggression? (N = 82) Yes 76 (92.7%) No 1 (1.2%) I don’t know 5 (6.1%) Clance Impostor Phenomenon Scale* Mean score (range) (N = 86) 66.8 (39 - 91) Number (%) of respondents scoring in each category Score < 40: few IP experiences/feelings 1 (1.2%) Score 41 – 60: moderate IP feelings/experiences 26 (30.2%) Score 61 – 80: frequently IP feelings/experiences 45 (52.3%) Score > 80: often has intense IP feelings/experiences 14 (16.3%) Mean score by age (N = 86) 25-30 (N = 15) 72.3 31-35 (N = 24) 70.1 36-40 (N = 19) 66.9 41-45 (N = 12) 63.6 45-50 (N = 10) 61.9 51-55 (N = 4) 56.5 56 and older (N = 2) 47.5 Mean score by ethnicity (N = 86) Black or African American (N = 2) 81.5 Asian (N = 33) 68.2 White (N = 41) 64.8 Hispanic or Latino (N = 5) 64 Prefer not to answer (N = 5) 70 Mean score by employment status (N = 80) Medical student (N = 1) 71 Medical resident (N = 11) 73.6 GI fellow (N = 17) 73.7 Practicing gastroenterologist (N = 40) 64.9 Advanced practice provider (N = 5) 54.6 Other (N = 6) 61.5 Mean score by practicing gastroenterologist years in practice (N = 39) 1-5 (N = 17) 68.3 6-10 (N = 9) 60.3 11-15 (N = 7) 68.9 16-20 (N = 3) 56 21 and more (N = 3) 61.3 *Clance Impostor Phenomenon Scale (CIPS). From The Impostor Phenomenon: When Success Makes You Feel Like A Fake (pp. 20-22), by P.R. Clance, 1985, Toronto: Bantam Books. Copyright 1985 by Pauline Rose Clance, Ph.D., ABPP. Use by permission of Dr. Pauline Rose Clance. Do not reproduce/copy/distribute without permission from Pauline Rose Clance, [email protected], www.paulineroseclance.com. Figure 1.: Mean Clance Impostor Phenomenon Scale Score by Age.

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)0,002
score de la tête « metaresearch » (Gemma)0,008
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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 Opus0,009
Tête enseignante GPT0,345
Écart entre enseignants0,336 · 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

Citations1
Publié2022
Routes d'admission1
Résumé présentoui

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