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Record W111186649 · doi:10.22230/jripe.2010v1n2a28

Evaluation of an Interprofessional Problem-based Learning Module on Care of Persons Living with HIV/AIDS

2010· article· en· W111186649 on OpenAlexaffvenueabout
Marcel D’Eon, Peggy Proctor, Jane Cassidy, Nora McKee, Krista Trinder

Bibliographic record

VenueJournal of Research in Interprofessional Practice and Education · 2010
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsInterprofessional educationProblem-based learningHuman immunodeficiency virus (HIV)Test (biology)MedicineMedical educationHealth careHiv testScale (ratio)Focus groupNursingFamily medicineHealth servicesPopulationHealth facilityEnvironmental health

Abstract

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Background: Interprofessional education (IPE) holds great promise in continuing to reform the management of complex chronic conditions such as HIV/AIDS, and Problem-based Learning (PBL) is a suitable format for IPE. This study aimed to evaluate the effectiveness of a large scale, compulsory interprofessional PBL module on HIV/AIDS education. In 2004, 30 physical therapy and 30 medical students at the University of Saskatchewan engaged in the HIV/AIDS PBL module. By 2007 over 300 students from seven healthcare programs were involved.Methods and Findings: The module was evaluated over the years using student satisfaction surveys, focus groups, self-assessments, and in 2007 with written pretest/post-tests. Students rated the learning experience about both HIV/AIDS and about interprofessional collaboration, at 4 or 5 out of 6 and effect sizes fell between d = .70 and 3.19. That only one pre-test/post-test study was conducted at a single institution is one of the limitations of this study.Conclusions: Students generally thought highly of the interprofessional PBL module on HIV/AIDS and learned a considerable amount. Although more research is needed to substantiate the self-assessment data, establish what and how much is being learned, and compare PBL to alternative methodologies, PBL is a promising approach to IPE.

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)0.017
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.545
Teacher spread0.470 · 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

Citations18
Published2010
Admission routes3
Has abstractyes

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