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Record W4309322908 · doi:10.12688/mep.19115.1

Barriers faced by medical students in seeking mental healthcare: A scoping review

2022· review· en· W4309322908 on OpenAlex
Maria Berliant, Nabiha Rahman, Christopher Mattice, Chirayu Bhatt, Kay-Anne Haykal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMedEdPublish · 2022
Typereview
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity of OttawaOttawa Hospital
FundersUniversity of Ottawa
KeywordsMental healthHealth carePsychologyNursingMedical educationFamily medicineMedicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

<ns4:p> <ns4:bold>Background:</ns4:bold> Medical students commonly exhibit mental health issues. Despite the availability of professionals on medical campuses, seeking help continues to be a challenge for some students. Our review aimed to identify the barriers medical students face when seeking professional mental healthcare. </ns4:p> <ns4:p> <ns4:bold>Methods:</ns4:bold> A Medical Subject Headings (MeSH) search was created for articles using PubMed, Embase, and PsychINFO databases to identify articles specifically about medical students and their barriers to professional mental healthcare. Inclusion criteria included articles in which barriers to mental healthcare were either the primary variable or one of multiple study results. No date limits were imposed. Reviews, pilot projects, or articles that did not address barriers to mental healthcare faced by medical students or focused on veterinary or dental students were excluded. A total of 454 articles were identified and screened by title/abstract and then full text. Data were extracted from 33 articles using an independent framework. Barriers identified were compiled and reported. </ns4:p> <ns4:p> <ns4:bold>Results:</ns4:bold> From a total of 33 articles, the most identified barriers were fear of negative effect on residency/career opportunities, fear of confidentiality breach, stigma and fear of shaming from peers, lack of perceived seriousness/normalization of symptoms, lack of time, and fear of documentation on academic record. Students also preferred to seek care outside of their institution from fear of their provider being an academic preceptor. </ns4:p> <ns4:p> <ns4:bold>Conclusions:</ns4:bold> Many of the barriers to mental healthcare faced by medical students relate to a fear of academic and career reprisal, and fear of confidentiality breach. It appears that despite recent efforts to decrease stigma surrounding mental illness, many medical students struggle to seek appropriate support. Access to mental healthcare can be improved by increasing transparency regarding what information will be displayed on academic records, dispelling common myths about mental healthcare, and increasing awareness about resources available for medical students. </ns4:p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.550
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0030.003
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0310.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.130
GPT teacher head0.543
Teacher spread0.413 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it