Evidence map›Paper›PMID 35299655›Full record

ArticleEClinicalMedicine2022

Networking practices and gender inequities in academic medicine: Women's and men's perspectives.

Marie Murphy, Jacquelyn K Callander, Daniel Dohan, Jennifer R Grandis

Abstract read
In one paragraph

Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Marie MurphyDepartment of Otolaryngology-Head and Neck Surgery, University of California, 1450 Third Street, Room 268, Box 3111, San Francisco, CA 94143, United States.
Jacquelyn K CallanderDepartment of Otolaryngology-Head and Neck Surgery, University of California, 1450 Third Street, Room 268, Box 3111, San Francisco, CA 94143, United States.
Daniel DohanPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, United States.
Jennifer R GrandisDepartment of Otolaryngology-Head and Neck Surgery, University of California, 1450 Third Street, Room 268, Box 3111, San Francisco, CA 94143, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies of gender inequities in academic medicine suggest the negative impact of men's networking practices, but little is known about how they shape faculty experiences. Methods: In this qualitative study, in-depth, semi-structured interviews were conducted with 52 women and 52 men academic medicine faculty members at 16 institutions across the US in 2019. Interviews explored participants' experiences and perceptions of gender inequities in academic medicine, including perceptions of men's networking practices. Interviews were recorded and transcribed verbatim, and transcripts were analyzed using a mixture of deductively and inductively generated codes. Findings: Qualitative analysis of interview transcripts identified different dominant themes: (1) Women were often excluded from networking activities dominated by men, (2) Both women and men referred to men's networking practices in academic medicine, and believed they conferred benefits to members and excluded non-members from such benefits, (3) Participation in such networking activities yielded professional advantages, (4) Women made efforts to counteract their exclusion yet identified limits of those efforts. Interpretation: The data suggests that gender inequities in academic medicine might be associated with professional interactions that occur outside of the scope of professional work practices and in formal work sites. Additional research is needed to better understand practices such as informal networking activities and their impact in order to promote gender equity.

Identifiers

PMID35299655
PMCPMC8921538

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.