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Record W3196826630 · doi:10.1136/fmch-2021-001144

COVID-19 disruption to family medicine residency curriculum: results from a 2020 US programme directors survey

2021· article· en· W3196826630 on OpenAlexaff
Julia Fashner, Anthony Espinoza, Arch G. Mainous

Bibliographic record

VenueFamily Medicine and Community Health · 2021
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsInstitute of Health Services and Policy Research
FundersHCA Healthcare
KeywordsCoronavirus disease 2019 (COVID-19)Curriculum2019-20 coronavirus outbreakMedical educationSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicFamily medicineMedicinePsychologyPedagogyVirologyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

OBJECTIVE: This research project examined the effects of the COVID-19 pandemic on the required curriculum in graduate medical education for family medicine residencies. DESIGN: Our questions were part of a larger omnibus survey conducted by the Council of Academic Family Medicine Educational Research Alliance. Data were collected from 23 September to 16 October 2020. SETTING: This study was set in the USA. PARTICIPANTS: Emails were sent to 664 family medicine programme directors in the USA. Of the 312 surveys returned, 35 did not answer our questions and were excluded, a total of 277 responses (44%) were analysed. RESULTS: The level of disruption varied by discipline and region. Geriatrics had the highest reported disruption (median=4 on a 5-point scale) and intensive care unit had the lowest (median=1 on a 5-point scale). There were no significant differences for disruption by type of programme or community size. CONCLUSION: Programme directors reported moderate disruption in family medicine resident education in geriatrics, gynaecology, surgery, musculoskeletal medicine, paediatrics and family medicine site during the pandemic. We are limited in generalisations about how region, type of programme, community size or number of residents influenced the level of disruption, as less than 50% of programme directors completed the survey.

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 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)0.009
metaresearch head score (Gemma)0.043
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.264
GPT teacher head0.470
Teacher spread0.207 · 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 teacher head, not a consensus.

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

Citations12
Published2021
Admission routes1
Has abstractyes

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