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Record W3088033142 · doi:10.36834/cmej.71541

A qualitative study of patients’ and caregivers’ perspectives on educating healthcare providers

2021· article· en· W3088033142 on OpenAlexafffundvenue
Holly L Adam, Catherine M. Giroux, Kaylee Eady, Katherine Moreau

Bibliographic record

VenueCanadian Medical Education Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Ottawa
FundersAssociated Medical Services
KeywordsCurriculumMedicineNursingStorytellingQualitative researchHealth carePsychologyMedical educationPedagogyNarrativeSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Patients/caregivers can be actively involved in the education of healthcare providers (HCPs). The purpose of this study was to explore patients'/caregivers' perspectives on their involvement and roles in the education of HCPs. METHODS: We invited patients/caregivers to participate in one-on-one semi-structured interviews. We analyzed the interview data using conventional content analysis to identify themes. RESULTS: In terms of patient/caregiver involvement in the education of HCPs, we identified that patients/caregivers perceive that it: (a) is challenging because of power-differentials between themselves and HCPs; (b) requires patient training; (c) needs to start early in HCPs' education processes; (d) can improve patient-HCP partnerships; and (e) requires compensation for patients. With regards to the roles that patients can play in educating HCPs, we found that patients/caregivers want to: (a) teach HCPs about patients' expectations, experiences and perspectives through case studies, storytelling, and educational research; (b) provide direct feedback to HCPs; and (c) advise on curricula development and admission boards for HCPs. CONCLUSIONS: Understanding patients'/caregivers' perspectives on this topic can help educational leaders and HCPs improve active patient/caregiver involvement in the education of HCPs. We need to listen to patients'/caregivers' voices in order to make effective changes in current and future health professions education.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.134
GPT teacher head0.489
Teacher spread0.355 · 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 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
Published2021
Admission routes3
Has abstractyes

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