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Record W4416769960 · doi:10.3389/feduc.2025.1696403

Integrating clinical psychology and social care in oral cancer prevention & early detection: a needs assessment for interprofessional education

2025· article· en· W4416769960 on OpenAlexaff
Nanditha Sujir, Junaid Ahmed, Ciraj Ali Mohammed, Bhaskaran Unnikrishnan, John Gilbert, Vasudha Kadikadka Gangadhara, Meena Monteiro

Bibliographic record

VenueFrontiers in Education · 2025
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of British ColumbiaDalhousie University
Fundersnot available
KeywordsInterprofessional educationNeeds assessmentHealth careDescriptive statisticsScale (ratio)MEDLINECurriculum

Abstract

fetched live from OpenAlex

Background To address the challenges in the early diagnosis and prevention of oral cancer, it is essential to include clinical psychology and social care professionals in interprofessional healthcare teams. In this context, a needs assessment study was conducted to inform the development of an interprofessional education and collaborative practice (IPECP) course focused on oral cancer for students in clinical psychology and social care. The objectives of this study were to develop a tool for assessing the knowledge, attitudes, and practices (KAPs) related to oral cancer prevention and early detection among these students and to evaluate the current KAP levels within this student cohort. Additional objectives were to estimate the likelihood that students would demonstrate strong KAP scores related to oral cancer prevention and early detection and to assess their readiness for interprofessional learning and collaborative practice. Methods Two questionnaires were employed in this study: (1) a custom-designed questionnaire was developed, validated, and administered to assess KAP related to the early detection and prevention of oral cancer and (2) the Readiness for Interprofessional Learning Scale (RIPLS). For data analysis, both descriptive and inferential statistical methods were applied. These included the Mann–Whitney U test, ordered logistic regression, and probit analysis. A significance level of p < 0.05 was set for all the statistical tests. Results A total of 220 clinical psychology students and 226 social care students were included in the study. The mean scores related to KAP were 11.04 ± 1.782, 5.28 ± 1.292, and 4.56 ± 1.583, respectively, and the mean score for RIPLS was 82.23 ± 10.961 among clinical psychology students. Among the social care students, the KAPs were 10.46 ± 2.688, 5.36 ± 1.626, and 5.86 ± 1.806, respectively, and the mean RIPLS score was 46.58 ± 9.705. Conclusion The analysis revealed that both the clinical psychology and social care student cohorts presented low scores in knowledge and practices related to the prevention and early detection of oral cancer. However, the Readiness for Interprofessional Learning Scale (RIPLS) results indicated a more positive attitude toward interprofessional learning among clinical psychology students than among their social care counterparts.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.411
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.569
Teacher spread0.524 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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