Background: Given the persistent disparity in the advancement of women compared with men faculty in academic medicine, it is critical to develop effective interventions to enhance women's careers. We carried out a cluster-randomized, multifaceted intervention to improve the success of women assistant professors at a research-intensive medical school.
Materials And Methods: Twenty-seven departments/divisions were randomly assigned to intervention or control groups. The three-tiered intervention included components that were aimed at (1) the professional development of women assistant professors, (2) changes at the department/division level through faculty-led task forces, and (3) engagement of institutional leaders. Generalized linear models were used to test associations between assignment and outcomes, adjusting for correlations induced by the clustered design.
Results: Academic productivity and work self-efficacy improved significantly over the 3-year trial in both intervention and control groups, but the improvements did not differ between the groups. Average hours worked per week declined significantly more for faculty in the intervention group as compared with the control group (-3.82 vs. -1.39 hours, respectively, p = 0.006). The PhD faculty in the intervention group published significantly more than PhD controls; however, no differences were observed between MDs in the intervention group and MDs in the control group.
Conclusions: Significant improvements in academic productivity and work self-efficacy occurred in both intervention and control groups, potentially due to school-wide intervention effects. A greater decline in work hours in the intervention group despite similar increases in academic productivity may reflect learning to "work smarter" or reveal efficiencies brought about as a result of the multifaceted intervention. The intervention appeared to benefit the academic productivity of faculty with PhDs, but not MDs, suggesting that interventions should be more intense or tailored to specific faculty groups.
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http://dx.doi.org/10.1089/jwh.2016.6025 | DOI Listing |
Hum Gene Ther
January 2025
Department of Internal Medicine V, University Hospital Schleswig-Holstein and University of Kiel, Kiel, Germany.
Adeno-associated viral (AAV) vectors are increasingly used for preclinical and clinical cardiac gene therapy approaches. However, gene transfer to cardiomyocytes poses a challenge due to differences between AAV serotypes in terms of expression efficiency and . For example, AAV9 vectors work well in rodent heart muscle cells but not in cultivated neonatal rat ventricular cardiomyocytes (NRVCMs), necessitating the use of AAV6 vectors for studies.
View Article and Find Full Text PDFFront Immunol
January 2025
Immunology Research Center, National Health Research Institute, Zhunan, Taiwan.
CASK, a MAGUK family scaffold protein, regulates gene expression as a transcription co-activator in neurons. However, the mechanism of CASK nucleus translocation and the regulatory function of CASK in myeloid cells remains unclear. Here, we investigated its role in H5N1-infected macrophages.
View Article and Find Full Text PDFFront Public Health
January 2025
Dermatology Department, Colentina Clinical Hospital, Bucharest, Romania.
Introduction: Atopic dermatitis (AD), a common dermatological condition, is often associated with significant economic and social burdens. Despite extensive studies globally, there is a gap in understanding the impact of this condition in Romania. This study evaluated the economic burden of AD in Romania, considering both direct and indirect costs.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Medical and Health Sciences, Collegium Medicum, WSB University, Dabrowa Górnicza, Poland.
Background: Breast cancer remains a leading cause of mortality among women, driven by the molecular complexity of its various subtypes. This study aimed to investigate the differential expression of genes and miRNAs involved in the PI3K/AKT/mTOR signaling pathway, a critical regulator of cancer progression.
Methods: We analyzed tumor tissues from five breast cancer subtypes-luminal A, luminal B HER2-negative, luminal B HER2-positive, HER2-positive, and triple-negative breast cancer (TNBC)-and compared them with non-cancerous tissues.
Br J Biomed Sci
January 2025
Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
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