Factors Influencing Career Choice of Allergy and Immunology Fellows-in-Training : A Work Group Report of the AAAAI Program Directors Assembly Executive Committee
Copyright © 2024 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved..
BACKGROUND: As the burden of allergic and immunologic disease continues to increase, there is increased demand for a larger Allergy and Immunology (AI) subspecialty workforce. The field must prioritize the expansion of our workforce and the recruitment of exceptional and diverse trainees to ensure the vitality of the specialty. Although the AI fellowship match has traditionally been competitive, recent trends in fellowship applications have demonstrated fewer applicants per fellowship position. This trend has made recruitment a priority on the agenda of the national AI societies.
OBJECTIVE: To elucidate key factors influencing the decision to choose the field of AI by querying fellows-in-training.
METHODS: A survey was created and distributed yearly to fellows-in-training from 2017 to 2021 to identify factors influencing a career choice in AI.
RESULTS: Approximately 59% of respondents rotated with AI in residency and 35% in both medical school and residency. Most respondents reported having a mentor in the field before fellowship, and many had their first exposures to AI during medical school (40%) or residency (32%). Most respondents decided to pursue AI during residency. The most common factors that influenced the decision to pursue AI were work/life balance, clinical aspects of the field, mentorship, and research opportunities.
CONCLUSIONS: Our data suggest that the decision to pursue a career in AI often occurs during residency training and is motivated primarily by work/life balance, clinical aspects of the field, and clinician mentorship. Our survey results could provide guidance to AI training programs on strategies to recruit exceptional and diverse trainees.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
The journal of allergy and clinical immunology. In practice - 12(2024), 3 vom: 18. März, Seite 627-632.e4 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lanier, Kasey [VerfasserIn] |
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| Links: |
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| Themen: |
Fellowship training programs |
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| Anmerkungen: |
Date Completed 11.03.2024 Date Revised 11.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.jaip.2023.10.054 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2024 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a BACKGROUND: As the burden of allergic and immunologic disease continues to increase, there is increased demand for a larger Allergy and Immunology (AI) subspecialty workforce. The field must prioritize the expansion of our workforce and the recruitment of exceptional and diverse trainees to ensure the vitality of the specialty. Although the AI fellowship match has traditionally been competitive, recent trends in fellowship applications have demonstrated fewer applicants per fellowship position. This trend has made recruitment a priority on the agenda of the national AI societies | ||
| 520 | |a OBJECTIVE: To elucidate key factors influencing the decision to choose the field of AI by querying fellows-in-training | ||
| 520 | |a METHODS: A survey was created and distributed yearly to fellows-in-training from 2017 to 2021 to identify factors influencing a career choice in AI | ||
| 520 | |a RESULTS: Approximately 59% of respondents rotated with AI in residency and 35% in both medical school and residency. Most respondents reported having a mentor in the field before fellowship, and many had their first exposures to AI during medical school (40%) or residency (32%). Most respondents decided to pursue AI during residency. The most common factors that influenced the decision to pursue AI were work/life balance, clinical aspects of the field, mentorship, and research opportunities | ||
| 520 | |a CONCLUSIONS: Our data suggest that the decision to pursue a career in AI often occurs during residency training and is motivated primarily by work/life balance, clinical aspects of the field, and clinician mentorship. Our survey results could provide guidance to AI training programs on strategies to recruit exceptional and diverse trainees | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Risma, Kimberly A |e verfasserin |4 aut | |
| 700 | 1 | |a Redmond, Margaret |e verfasserin |4 aut | |
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