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Record W4385066454 · doi:10.7759/cureus.42243

Assessing the Impact of a Health Education Intervention for Post-secondary International Students in Canada

2023· article· en· W4385066454 on OpenAlexaffabout
Yasir H Khan, Shivajan Sivapalan, Sijia Wang

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of Ontario Institute of TechnologyUniversity of Toronto
Fundersnot available
KeywordsMedicinePsychological interventionIntervention (counseling)Mental healthAnxietyMedical educationFamily medicineNursingPsychiatry

Abstract

fetched live from OpenAlex

Objective The objective is to determine the impact of a health education intervention on self-rated health knowledge, levels of stress and anxiety, and ability to find and access school resources for international students studying at a Canadian University and College. Participants and setting This is a pre- and post-intervention survey. Undergraduate and graduate international students on the shared campus of Durham College and Ontario Tech University in Oshawa, Ontario were included. Interventions International students participating in this study received two structured visits, scheduled two weeks apart. At the start of the first visit, students completed a baseline survey which included questions on self-rated health knowledge, stress levels, and ability to access school resources. At this visit, students received 30 minutes of structured health education from a registered nurse on the topics of sexual health and adult immunizations. At the second visit, students received 30 minutes of structured teaching from the registered nurse on the topics of mental health, COVID-19, and campus resources. Upon the completion of this teaching, students completed a post-intervention survey with the same questions as the pre-survey, to gauge for changes related to the intervention. Results T-values were calculated for each survey item from the pre and post-survey. These t-values were used as the outcome measure to determine changes in health knowledge, stress levels, and ability to access resources following the intervention. In total, there were 202 participants. Statistical analysis showed significant t-values for all survey items in the pre- and post-analysis. Following the education intervention, the highest t-values were noted in self-rated sexual health knowledge (t-value 16.80, p < 0.001), ability to find and access school resources (t-value 16.14, p < 0.001), and current level of stress/anxiety in regard to being in a new country (t-value 14.04, p < 0.001). Conclusion Following a structured health education intervention, international students reported significant increases in self-rated health knowledge for specific topics, ability to find and access school resources, ability to get help for a mental health issue, and significant decreases in self-rated stress/anxiety. These results can support further exploration of health education in international student populations to ensure these students are adequately informed and supported when arriving in a new country.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
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 head0.097
GPT teacher head0.577
Teacher spread0.481 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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