Evidence map›Paper›PMID 27790362›Full record

ArticleBiology of sex differences2016

Evaluation of sex- and gender-based medicine training in post-graduate medical education: a cross-sectional survey study.

Juliana M Kling, Steven H Rose, Lisa N Kransdorf, Thomas R Viggiano, Virginia M Miller

Abstract read
In one paragraph

Article in Biology of sex differences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sex and Gender in Orthopaedic Research: How Do We Continue to Move the Needle?The Journal of bone and joint surgery. American volume · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Embodying Transgender: An Analysis of Trans Women in Online Forums.International journal of environmental research and public health · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Experiences with a graduate course on sex and gender medicine in Korea.Journal of educational evaluation for health professions · 2018
    Article
  17. Article
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

5 authors.

Juliana M KlingWomen's Health Clinic, Mayo Clinic, 13737 North 92nd Street, Scottsdale, AZ 85260 USA.
Steven H RoseMayo School of Graduate Medical Education, Mayo Clinic, Rochester, MN USA.
Lisa N KransdorfWomen's Health Clinic, Mayo Clinic, 13737 North 92nd Street, Scottsdale, AZ 85260 USA.
Thomas R ViggianoDepartment of Gastroenterology, Mayo Clinic, Rochester, MN USA.
Virginia M MillerDepartments of Surgery, Physiology and Biomedical Engineering and Women's Health Research Center, Mayo Clinic, Rochester, MN USA.

Funding

Sex-Specific Effects of Endocrine Disruption on Aging and Alzheimer's DiseaseU54AG044170 · NIA · MAYO CLINIC ROCHESTER · PI MIELKE, MICHELLE M · 2018 to 2022
$7.7M
Sex-specific Risk for Vascular Dysfunction and Cognitive DeclineP50AG044170 · NIA · MAYO CLINIC ROCHESTER · PI MILLER, VIRGINIA M · 2012 to 2017
$6.1M
Estrogen, Platelets, and ArtherosclerosisR01HL090639 · NHLBI · MAYO CLINIC ROCHESTER · PI BAILEY, KENT R, MILLER, VIRGINIA M · 2008 to 2012
$1.9M
NHLBI NIH HHS R01 HL090639NIA NIH HHS P50 AG044170NIA NIH HHS U54 AG044170
6 · The paper itself

Abstract

backgroundAddressing healthcare disparities is a national priority for initiatives in precision and individualized medicine. An essential component of precision medicine is the understanding that sex and gender influence health and disease. Whether these issues are addressed in post-graduate medical education curricula is unknown.

methodsA questionnaire was designed and administered to residents across the Mayo Clinic enterprise to assess current knowledge of sex and gender medicine in a large program of post-graduate medical education and to identify barriers and preferred teaching methods for addressing sex and gender issues in health and disease. Descriptive and qualitative thematic analyses of the survey responses were compiled and analyzed.

resultsResponses were collected from 271 residents (response rate 17.2 %; 54 % female; 46 % male). A broad cross-section of training programs on all Mayo Clinic campuses (Arizona, Minnesota, and Florida) was represented. Sixteen percent of the respondents reported they had never had an instructor or preceptor discuss how a patient's sex or gender impacted their care of a patient; 55 % said this happened only occasionally. Of medical knowledge questions about established sex- and gender-related differences, 48 % were answered incorrectly or "unsure." Qualitative thematic analysis showed that many trainees do not understand the potential impact of sex and gender on their clinical practice and/or believe it does not pertain to their specialty. A higher percentage of female participants agreed it was important to consider a patient's sex and gender when providing patient care (60.4 vs. 38.7 %,

conclusionsCurriculum gaps exist in post-graduate medical training regarding sex- and gender-based medicine, and residents often do not fully understand how these concepts impact their patients' care. Reviewing the definition of sex- and gender-based medicine and integrating these concepts into existing curricula can help close these knowledge gaps. As the practice of medicine becomes more individualized, it is essential to equip physicians with an understanding of how a patient's sex and gender impacts their health to provide the highest value care.

Indexed as

Gender-based medicineMedical residencyPost-graduate medical educationPrecision medicineSex-based medicine

Identifiers

PMID27790362
PMCPMC5073974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.