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Record W1976605563 · doi:10.2182/cjot.2011.78.5.3

A Critical Review of Interventions Addressing Ageist Attitudes in Healthcare Professional Education

2011· review· en· W1976605563 on OpenAlexafffundvenue
Cary A. Brown, Diane J. Kother, Trish Wielandt

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2011
Typereview
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsRed Deer Regional HospitalUniversity of Alberta
FundersPublic Health Agency of CanadaMcMaster University
KeywordsPsychological interventionHealth careHealth professionalsNursingMedicinePsychologyMedical educationEngineering ethicsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: As the population ages, the demand for health care services will increase. Evidence suggests that the pervasive negative societal beliefs regarding aging and older persons are also found among occupational therapy students and practitioners. These attitudes can negatively affect healthcare service provision. PURPOSE: To determine the strength of the evidence regarding educational interventions used to modify ageist values and beliefs of health care professionals. METHODS: A critical review of the literature was undertaken to evaluate methodological quality of relevant outcome studies. FINDINGS: . Of the fifteen studies meeting the inclusion criteria one was rated as "strong" evidence, and the remainder lacked methodological rigour. Such results make it difficult to decide the usefulness of including educational interventions in health care curricula to negate ageism. IMPLICATIONS: Research specific to occupational therapy is required as our unique frames of reference and theoretical models to guide practice may preclude generalizability of research from other professional groups.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.692
GPT teacher head0.648
Teacher spread0.044 · 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 designOther design
Domainnot available
GenreReview

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

Citations21
Published2011
Admission routes3
Has abstractyes

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