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Record W2807557673 · doi:10.1111/1440-1630.12484

Mental health consumer participation in undergraduate occupational therapy student assessment: No negative impact

2018· article· en· W2807557673 on OpenAlexfundno aff
Alexandra Logan, Elisa Yule, Michael Taylor, Christine Imms

Bibliographic record

VenueAustralian Occupational Therapy Journal · 2018
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
FundersAustralian Catholic UniversityMcMaster University
KeywordsOccupational therapyAccreditationMental healthAnxietyPsychologyMedicineClinical psychologyMedical educationPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND/AIM: Australian accreditation standards for occupational therapy courses require consumer participation in the design, delivery and evaluation of programs. This study investigated whether a mental health consumer - as one of two assessors for an oral assessment in a mental health unit - impacted engagement, anxiety states and academic performance of undergraduate occupational therapy students. METHODS: Students (n = 131 eligible) self-selected into two groups but were blinded to the group differences (assessor panel composition) until shortly prior to the oral assessment. Control group assessors were two occupational therapy educators, while consumer group assessors included an occupational therapy educator and a mental health consumer. RESULTS: Pre- and post-assessment data were successfully matched for 79 students (overall response rate = 73.1%). No evidence was found of significant differences between the two groups for engagement, anxiety or academic performance (all P values >0.05). CONCLUSION: Including mental health consumers as assessors did not negatively impact student engagement and academic performance, nor increase student anxiety beyond that typically observed in oral assessment tasks. The findings provide support for expanding the role of mental health consumers in the education and assessment of occupational therapy students. Development of methods to determine the efficacy of consumer involvement remains an area for future research.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.397
GPT teacher head0.588
Teacher spread0.191 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

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