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Record W2181938409

Assessing Physicians and other Healthcare Professionals' Awareness of Language Resources and the Feasibility of Setting up a Volunteer Second Language Database at a Family Health Team and Outpatient Clinic

2013· article· en· W2181938409 on OpenAlexaboutno aff
Farhan M. Asrar, Suhail Asrar, Ingeborg Schabort

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careFamily medicineMedicineHealth professionalsDemographicsNursingPsychology
DOInot available

Abstract

fetched live from OpenAlex

Objectives: 1) To assess the awareness of healthcare professionals in resources available to assist patients encounters challenged by language barriers, 2) To explore the feasibility of implementing a voluntary Second Language Database (SLD) comprising of the outpatient clinic’s very own physicians and healthcare professionals to assist with patient encounters facing language barriers. Methods: This was a feasibility study (cross-sectional design), taking place at the Stonechurch Family Health Centre (SFHC), which is a family health team (FHT) located in Hamilton, Ontario. SFHC has a patient population of over 17,000 patients. All personnel at the SFHC were invited to complete the survey from December 2010 to March 2011. Those surveyed included staff physicians, residents, allied healthcare professionals and administrative staff. The outcome measures included: participant demographics, frequency and percentages of patients encounters with language barriers, healthcare professionals’ awareness of available interpretive resources, ability of the participant to communicate in additional languages, participants’ willingness to enlist for a SLD to provide interpretive assistance during patient encounters. Results: Of the 100 participants invited to take part in the survey, 67 completed it (67% response rate). Of the physicians who completed the survey, 94.6% reported having encountered language barriers during patient encounter within the past 12 months. Additionally, 71.1% of physicians surveyed were unaware of any available resources. The majority of physicians (86.8%) thought a SLD would be helpful, and 66% of doctors able to speak a second language were willing to take part in the SLD to assist colleagues in linguistic encounters. All of the surveyed International Medical Graduates/Doctors (IMGs/IMDs) (N=6), knew a second language, with 4 being fluent in additional languages. All of the surveyed IMG’s were willing to volunteer for the SLD. Conclusions: To our knowledge, this is the first study to specifically explore the physicians’ ability and will ingness to volunteer and assist colleagues in linguistic encounters. Physicians were largely unaware of the available resources to overcome patient encounters with language barriers. Given the frequency of healthcare professionals possessing a second language and their willingness to take part in a SLD at outpatient clinics and FHT settings, this may indeed be a feasible proposal to address patient linguistic barriers. IMGs/ IMDs tend to possess multiple languages and may have had previous experience interacting with patients in languages other than English. This, along with their willingness to assist colleagues during such patient encounters enables them to serve as a vital resource for Canadians with language barriers.

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)0.017
metaresearch head score (Gemma)0.031
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 score0.017
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.031
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.080
GPT teacher head0.471
Teacher spread0.391 · 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
Published2013
Admission routes1
Has abstractyes

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