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Record W2887835260 · doi:10.5430/ijhe.v7n4p157

Improving Cultural Competency: A Patient-Centered Approach to Interprofessional Education and Practice in a Veterans Healthcare Facility

2018· article· en· W2887835260 on OpenAlexvenueno aff
Margaret Brommelsiek, Jane A. Peterson, Sarah Knopf Amelung

Bibliographic record

VenueInternational Journal of Higher Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
FundersHealth Resources and Services AdministrationU.S. Department of Health and Human Services
KeywordsPracticumInterprofessional educationCultural competenceCourseworkHealth careNursingWorkforceMedical educationCompassionMedicinePharmacyPsychologyPedagogy

Abstract

fetched live from OpenAlex

Background/Objective: Competency in health professions education when separated from culture is a ‘detached mastery’ of a discreet skill; there are no values considered, no human behind the understanding. This can result in an uneven understanding, proficiency, and commitment concerning individuals’ cultural differences. To increase cultural competency and improve care delivery to veterans, health professional students, participated in an interprofessional education immersion with clinical practicum at a Veteran’s Administration primary care clinic.Methods: Fifty-four graduate students from nursing, clinical psychology, pharmacy and social work participated in an interprofessional education course on military culture. Students’ knowledge and attitudes concerning veterans were evaluated at the start and end of the 8-week immersion course.Results: In both the Knowledge Assessment, a 10-item survey covering the core aspects of the course content, and Health Professionals’ Attitudes Toward Veterans Scale, student knowledge and attitudes improved relating to veterans care.Conclusions: Veterans seeking care in veterans’ and civilian facilities require a culturally competent health professional workforce. Interprofessional education coursework specifically focused on veterans and military culture has shown promise in increasing knowledge and compassion in health professional students working with veteran patients.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.425
Teacher spread0.382 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2018
Admission routes1
Has abstractyes

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