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Record W2906099000 · doi:10.5430/jnep.v9n4p79

Clinical introduction into population health management using a peer mentoring strategy

2018· article· en· W2906099000 on OpenAlexvenueno aff
Margaret Avallone, Renée Cantwell, Staci Pacetti

Bibliographic record

VenueJournal of Nursing Education and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsMentorshipCourseworkHelpfulnessMedical educationPeer mentoringCurriculumService-learningMedicinePreceptorPsychologyNursingPedagogy

Abstract

fetched live from OpenAlex

Background/objective: Baccalaureate nursing clinical experiences must prepare graduates to assess and support the health of vulnerable populations within communities. Clinical experiences need to align with theoretical coursework throughout the entire curriculum. This pilot project evaluated an innovative method to introduce second-semester Accelerated Baccalaureate Students (ABS) into a service-learning community experience using a peer-mentoring strategy.Methods: Eleven second-semester and twelve fourth-semester ABS students were paired in learning dyads in a low-income, ethnically diverse urban housing development, along with community health workers and social workers. Second-semester students were peer-mentored by fourth-semester students. Second-semester students performed health screenings, health promotion education, and medication reconciliation guided by fourth-semester students. Learning objectives and changes in knowledge were evaluated before and after the experience in a retrospective pretest/posttest format for all students. Additionally, second-semester students reported their perception of the mentoring experience on self-confidence, satisfaction, and helpfulness.Results: The learning objective rated highest related to the role of social determinants of health in the overall health of the residents (M = 4.38). Paired t-test analysis revealed significant positive increases in levels of knowledge about social determinants of health, role of culture, and importance of the interprofessional team. On a scale of one to five, second-semester students reported increased self-confidence (M = 4.2), satisfaction with the learning experience (M = 4), and help providing health promotion strategies (M = 4.4) due to mentorship by the fourth semester students.Conclusions: Students’ comments reflected an appreciation of the complexity of healthcare issues affecting vulnerable members of the community. Second-semester students reported more confidence and perceived themselves to be more effective due to the mentorship of the fourth semester students when providing education to residents with complex health needs.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.004

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 head0.243
GPT teacher head0.569
Teacher spread0.326 · 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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