Female trainees believe that having children will negatively impact their careers: results of a quantitative survey of trainees at an ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Cindy Kin, Rachel Yang, Pooja Desai, Claudia Mueller, Sabine Girod

ABSTRACT

BACKGROUND: Medical training occurs during peak childbearing years. However, the intense workload, long work hours, and limited financial compensation are potential barriers to having children during this time. Here, we aimed to identify gender-based differences in beliefs and experiences of having children during graduate medical education. We hypothesized that both genders face significant challenges, but women are more likely to experience stressors related to work-family conflicts. METHODS: We administered an anonymous web-based survey to all trainees at an academic medical center. Primary outcomes were gender differences in beliefs and experiences of having children during training. Multivariate logistic regression was performed using independent variables of gender, specialty type (surgical vs. medical), and parental status. RESULTS: In total, 56% of trainees responded (60% women, 40% men; n = 435). Women were more often concerned about the negative impact of having children and taking maternity leave on their professional reputation and career. The majority of women expressed concern about the potential negative impact of the physical demands of their jobs on pregnancy. Among parents, women were more likely than men to be the primary caregivers on weeknights and require weekday childcare from a non-parent. CONCLUSIONS: Women face greater work-related conflicts in their beliefs and experiences of having a family during graduate medical education. Trainees should be aware of these potential challenges when making life and career decisions. We recommend that institutions employ solutions to accommodate the needs and wellbeing of trainees with families while optimizing training and workload equity for all trainees. More... »

PAGES

260

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12909-018-1373-1

DOI

http://dx.doi.org/10.1186/s12909-018-1373-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109888576

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30424762


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12909-018-1373-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12909-018-1373-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12909-018-1373-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12909-018-1373-1'


 

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