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Record W853810663

Medical student distress, personal health care practices, and barriers to care

2017· article· en· W853810663 on OpenAlexafffund
Janet Bartlett

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsMemorial University of Newfoundland
FundersFaculty of Medicine, Memorial University of NewfoundlandMemorial University of Newfoundland
KeywordsMental healthPopulationDistressHealth careConfidentialityMedicineVulnerability (computing)PsychologyFamily medicineNursingPsychiatryClinical psychologyEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Medical students experience higher levels of psychological distress than age-matched peers. Suicide rates are also higher among medical students and physicians in comparison to the general population. Despite reported health needs, medical students are reluctant to seek help for mental health issues potentially resulting in inappropriate self-care practices and impairment. This trend increases throughout training and has been observed among physician populations manifesting as persistent, long-term mental health problems. Medical students report unique barriers to care which occur at individual, provider, and system levels and reflect issues related to stigma and the medical school culture or environment. The aim of the current study was to determine the prevalence of psychological distress among a population of medical students in comparison to the general population, ascertain factors contributing to the distress, explore personal health care needs and practices, and identify barriers to care. A cross-sectional design was employed which involved administration of a survey. Participants included medical students in years one through four attending a university in Atlantic Canada. The prevalence of medical student distress in the current study was 17%. Medical students reported significantly higher levels of severe psychological distress (19%) than age-matched peers (5%) and yet were reluctant to seek help for mental health issues. Students also expressed concern they may develop mental health issues and/or inappropriate self-care practices over the course of their training. Students indicated a preference for informal consultation and off-site care, citing system-based barriers to care including concern for confidentiality, stigma, academic vulnerability and discomfort with the dual role of student-patient. Finally, students expressed reluctance to report impairment in a peer in scenarios depicting both high- and low-stigma consequences.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.395
Teacher spread0.372 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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