Details

Autor(en) / Beteiligte

• Chaudron, Linda H
• Anson, Elizabeth
• Bryson Tolbert, Jane M
• Inoue, Sachi
• Cerulli, Catherine

Titel

Meeting the Needs of Mid-Career Women in Academic Medicine: One Model Career Development Program

Ist Teil von

• Journal of women's health (Larchmont, N.Y. 2002), 2021-01, Vol.30 (1), p.45

Ort / Verlag

United States

Erscheinungsjahr

2021

Quelle

MEDLINE

Beschreibungen/Notizen

• A gender gap in leadership exists in academic medicine. Medical school faculty rosters indicate an overrepresentation of women in entry-level positions. As positions increase in seniority and leadership responsibilities, there is an underrepresentation of women. The reasons for this discrepancy are not fully understood, but the mid-career transition is one career point that some scholars hypothesize is part of the leaky pipeline. The University of Rochester Medical Center developed a career development program (CDP) to focus on this pivotal career developmental time period. We assessed the impact of the CDP on self-assessed knowledge, competence, self-identified goals, and promotions. Four cohorts of mid-career women completed preself-assessment and postself-assessment and ranked their current knowledge and competence on 11 topics grouped into 3 career development domains. They identified three personal goals and ranked their success in achieving them at the end of the program. Facilitators followed participants annually for promotions and accomplishments. Fifty-one participants reported statistically significant improvements in knowledge and competency in all domains-promotional, organizational infrastructure, and communication. They identified 148 individual goals that we grouped into 4 categories: career development (32%), leadership (26%), networking (22%), and negotiation (20%), and the majority achieved their individual goals. Upon the last review, 23.5% of women were promoted or received tenure. A CDP targeting the needs of mid-career women faculty in academic medicine improved knowledge and competency in multiple domains. Longitudinal data and comparison to nonparticipants are needed to fully understand its impact.