A Faculty-Centered Career Consultation Service in an Academic Health Sciences Center: Five Years of Presenting Problems, Demographics, and Recommendations.
Lara M SteplemanTaylor M ColemanJack BradyHanah YiLisa LeggioDanielle ZimmermanWilliam V McCallPublished in: Journal of clinical psychology in medical settings (2024)
Psychologists in faculty affairs/faculty development (FAFD) roles can contribute to faculty vitality in academic health centers (AHCs) and mitigate barriers to advancement and retention. We describe a novel psychologist-led consultation service within an Office for Faculty Success (OFS) to support faculty across their career trajectories. We used 5 years of consultation data including faculty demographics, presenting concerns, and post-consultation evaluation data on consultation satisfaction and perceived benefits to examine trends and demographic group differences in consultation frequency, presenting concerns, and perceived benefits. From 2018 to 2023, 434 individuals presented for 683 consultations. Promotion in rank was the most frequent presenting concern. Women and racially/ethically minoritized faculty were found to present more frequently for repeat consultations, for concerns related to careers negotiation and advancement, and for intersectionality issues specific to gender and/or racial minority identities. From years one to five, there was a 93% increase in number of annual consultations performed and users were highly satisfied with the service (3.86/4). The consultation service is a unique, highly acceptable addition to interventions focused on career satisfaction and retention for AHC faculty, especially for women, early career, and minoritized faculty, and can serve as a model for other institutions.
Keyphrases
- medical students
- mental health
- palliative care
- medical education
- healthcare
- public health
- depressive symptoms
- physical activity
- case report
- social support
- type diabetes
- risk assessment
- pregnant women
- primary care
- health information
- deep learning
- insulin resistance
- artificial intelligence
- clinical practice
- metabolic syndrome
- drug induced