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Advanced medical communications: support for international residents

2007· article· en· W2023571174 on OpenAlexaffabout
Mark Goldszmidt, Claude Kortas, Susan Meehan

Bibliographic record

VenueMedical Education · 2007
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsContext (archaeology)Medical educationVocabularyCommunication skillsPsychologyMedicine

Abstract

fetched live from OpenAlex

Context and settingDespite the acknowledged importance of communication skills in patient care and education, internationally sponsored residents (ISRs) and international medical graduates (IMGs) arriving in Canada from non-English-speaking countries frequently enter residency without any English communications training within the context of their host culture. Although many have learned English medical vocabulary and developed strong academic English skills through their medical studies, few have had significant communicative English experience in the field of medicine. They have also had little or no exposure to the cultural norms of their new home, and the ‘culture’ of the medical profession within it. Why the idea was necessaryCoping with cultural expectations and language differences in North America has been an ongoing challenge for this group of residents. However, there is a paucity of literature indicating how these needs can be met in a way that is acceptable to the residents, who are often very self-conscious when singled out for special training. The purpose of this pilot study was to assess the feasibility of a programme designed specifically to build, in context, the English-language communication skills of this group. What was doneApproximately 4 months into their residency, new ISRs in the Department of Medicine at a Canadian medical school were required to participate in a pilot ‘English for Medical Purposes’ programme. It was also offered on a voluntary basis to 2 Department of Family Medicine IMGs. The primary instructor for the programme was an English-for-specific-purposes (ESP) specialist. A doctor member of the development team also attended each class to offer medical expertise and to help facilitate scenario-based activities. The 18-hour programme, which took place over 6 academic half-days, focused primarily on doctor−patient and doctor–colleague interactions. Participation was encouraged through clinical standardised patient scenarios and case presentation practice. A strong language and culture focus was built into the programme to meet the unique needs of this resident group. Evaluation of results and impact All 5 of the ISRs and 1 of the IMGs completed an anonymous post-programme feedback form consisting of 7 open and 24 7-point Likert scale questions. Although the 5 ISRs had initially been very reluctant to participate, all the participants indicated that the programme should be offered to all incoming international residents. Despite a low rating of pre-participation interest (3.3, standard deviation [SD] 2.3), the mean rating of the value of the programme was high (6.0, SD = 0.9). In addition, the participants' self-evaluation of their communication skills showed significant improvement: self-assessed mean pre-course skills were rated at 3.8 (SD = 0.4) and post-course skills at 6.2 (SD = 0.8) (P = 0.03, 2-tailed t-test). Written comments were all very positive and included a few requests for the programme content to be expanded. Several participants even expressed interest in repeat participation in the programme. The results of this highly successful pilot show that a targeted communications skills programme can be implemented and can achieve high levels of acceptance by international residents. Next steps will involve further programmatic improvements, as well as using harder end-points to assess improvements in communication skills.

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)0.004
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.592
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.048
GPT teacher head0.556
Teacher spread0.507 · 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 designNot applicable
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

Citations9
Published2007
Admission routes2
Has abstractyes

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