Evidence map›Paper›PMID 30157942›Full record

ArticleBiology of sex differences2018

Effectiveness of online learning on health researcher capacity to appropriately integrate sex, gender, or both in grant proposals.

Cara Tannenbaum, Krystle van Hoof

Abstract read
In one paragraph

Article in Biology of sex differences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Cara TannenbaumInstitute of Gender and Health, Canadian Institutes of Health Research, 4545 Queen Mary Road, Montreal, Quebec, H3W 1W5, Canada. cara.tannenbaum@umontreal.ca.ORCID 0000-0002-7102-2333
Krystle van HoofInstitute of Gender and Health, Canadian Institutes of Health Research, 4545 Queen Mary Road, Montreal, Quebec, H3W 1W5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo describe the effectiveness of online learning to augment academic capacity to consider sex and gender in the conduct of basic science, clinical research, and population health studies.

methodThe analysis compares pre- and post-test scores from 1441 individuals who completed the Canadian Institutes of Health Research Institute of Gender and Health's interactive e-learning modules between February 2016 and May 2017. The tests measured knowledge, self-efficacy, and self-reported intent to change behavior for three competencies: (1) the ability to appropriately define and distinguish between sex-related versus gender-related variables, (2) the application of methods for integrating sex and gender, and (3) the critical appraisal of sex and gender integration in the design, methods, and analysis plan of research proposals and publications.

resultsOf the 543 individuals who completed the basic science module, 62% demonstrated improved knowledge, and 86% increased self-efficacy across all competencies. Gains in knowledge and self-efficacy also occurred among 84% and 77% of completers of the human data collection module (n = 463) and among 73% and 82% of those who completed the secondary data analysis module (n = 435). In aggregate, 95% of participants reported an intent to change their behavior with respect to sex and gender in health research.

conclusionsInteractive online learning combined with feedback and self-assessment results in improved knowledge and self-efficacy for integrating sex and gender in health research.

Indexed as

Computer-Assisted InstructionGender IdentityInternetAdultBiomedical ResearchFemaleHumansLearningMaleMiddle AgedResearch PersonnelSelf-Assessment

Identifiers

PMID30157942
PMCPMC6114804

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.