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10.1186_s40463-023-00650-9.pdf 2,07MB
WeightNameValue
1000 Titel
  • Racial diversity amongst Otolaryngology-Head and Neck Surgery programs in Canada
1000 Autor/in
  1. Horton, Garret |
  2. Grose, Elysia |
  3. Chen, Tanya |
  4. Davies, Oluwaseun Daniel |
  5. Shin, Dongho |
  6. Witterick, Ian |
  7. Campisi, Paolo |
  8. Chan, Yvonne |
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-01-01
1000 Erschienen in
1000 Quellenangabe
  • 52(1)
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s40463-023-00650-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357601/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:sec><jats:title>Background</jats:title><jats:p> The Canadian landscape of racial diversity in academic OHNS programs is currently unknown, as to date Canadian medical organizing bodies have refrained from collecting race-based data. However, new policy guidelines by the Canadian Medical Association support the collection of data that may be used to support equity, diversity and inclusion programs. This study aims to describe the representation of visible minorities amongst academic OHNS departments and divisions in Canada at various levels of academic seniority. </jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p> An online survey was distributed to members of the 13 academic OHNS department in Canada in 2022. The survey collected demographic data as well as each participant's self-reported race and gender. The primary outcome was the comparison of the racial demographics of Canadian academic OHNS programs to Canadian census data. Secondary outcome measures assessed how demographics varied based on academic position and gender. Simple descriptive statistics were tabulated for all demographic variables. Chi-square goodness of fit analysis was used to compare survey results to anticipated demographics based on 2016 Canadian census data. </jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p> Of 545 surveys distributed, 224 surveys were completed (response rate of 41%); 67.9% or respondents were male and 32.1% were female. Of these respondents, 71 were residents, 26 lecturers, 54 assistant professors, 39 associate professors, and 34 full professors. There was significantly greater minority representation amongst residents (47.9%), assistant professors (39.6%), and lecturers (40.7%) compared to the Canadian population (25.3%) p &lt; 0.001. Results also showed that there were significantly fewer female lecturers (25.9%, p = 0.01), assistant professors (31.5%, p = 0.006), and full professors (2.9%, p &lt; 0.001) compared to an assumed even proportion of men and women in the population. </jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p> Academic OHNS programs in Canada are more racially diverse than the Canadian population. However, women continue to be under-represented in more senior positions, especially women who are visible minorities. Further investigation into the systemic factors that may contribute to this disparity is needed as well as effective ways to promote diversity amongst academic OHNS departments at all levels of academic seniority. </jats:p></jats:sec><jats:sec><jats:title>Graphical Abstract</jats:title><jats:p> </jats:p></jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Canada [MeSH]
lokal Male [MeSH]
lokal Humans [MeSH]
lokal Original Research Article
lokal Diversity
lokal Otolaryngology [MeSH]
lokal Gender
lokal Inclusion
lokal Equity
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SG9ydG9uLCBHYXJyZXQ=|https://frl.publisso.de/adhoc/uri/R3Jvc2UsIEVseXNpYQ==|https://frl.publisso.de/adhoc/uri/Q2hlbiwgVGFueWE=|https://frl.publisso.de/adhoc/uri/RGF2aWVzLCBPbHV3YXNldW4gRGFuaWVs|https://frl.publisso.de/adhoc/uri/U2hpbiwgRG9uZ2hv|https://frl.publisso.de/adhoc/uri/V2l0dGVyaWNrLCBJYW4=|https://frl.publisso.de/adhoc/uri/Q2FtcGlzaSwgUGFvbG8=|https://orcid.org/0000-0002-8502-3214
1000 Hinweis
  • DeepGreen-ID: b59e14ff07d74e178fedc52f26864427 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2024-05-14T14:39:43.213+0200
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1000 Zuletzt bearbeitet Wed May 15 08:05:39 CEST 2024
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