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Record W4390046912 · doi:10.37964/cr24774

Evolution of women physician leadership at the Ottawa Hospital, 2011–2022: a mixed method study by the Women Physician Leadership Committee

2023· article· en· W4390046912 on OpenAlexvenueaboutno aff
Eliana Wolfe, Kathleen Gartke, Lara Khoury, Jasmine Gandhi, Jean M. Seely, Camille Munro

Bibliographic record

VenueCanadian Journal of Physician Leadership · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsWorkloadLeadership developmentMedicineFamily medicineMedical educationNursingPsychologyPolitical sciencePublic relationsManagement

Abstract

fetched live from OpenAlex

Purpose: To assess the evolution of women physician leadership after implementation of initiatives introduced by the Women Physician Leadership Committee (WPLC) from 2011 to 2022 at The Ottawa Hospital (TOH). Methods: We conducted a mixed-methods study using a transformative sequential research design. During phase 1 (2011–2022), we held three rounds of semi-structured interviews with division and departments heads. The results were organized into eight themes, providing insight into TOH’s work environment and culture. In phase 2, we determined the number of women physicians holding privileges and leadership positions at TOH in 2011, 2016, and 2022. Results: Despite an increase in the number of women physicians over the last decade (from 30% (255/862) in 2011 to 42.5% (486/1144) in 2022), the number of women division and department heads did not change significantly. In fact, only one of 12 department head positions has been held by a woman. We compiled comments from division and department heads to capture various perspectives and provide concrete examples of efforts and barriers to women physician leadership. Interpretation: We attribute the progress we have achieved in the last 11 years to the WPLC’s initiatives. Among other positive changes, there has been an increase in the number of formal mentoring opportunities, as well as the number of leaders who consider bringing in a locum when needed to balance the workload. Although progress toward achieving gender parity at TOH is encouraging, it has not eliminated barriers that women in medicine face. Further intentional change is required to counteract deeply rooted societal constructs within TOH culture.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.284
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

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