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Record W3114750856 · doi:10.1080/07317115.2020.1862946

Inclusive Practices toward LGBT Older Adults in Healthcare and Social Services: A Scoping Review of Quantitative and Qualitative Evidence

2020· review· en· W3114750856 on OpenAlexaff
Maude Lecompte, Joe Ducharme, Julie Beauchamp, Mélanie Couture

Bibliographic record

VenueClinical Gerontologist · 2020
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCentre de Santé et de Services Sociaux CavendishCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité LavalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
Fundersnot available
KeywordsOpenness to experienceCompetence (human resources)PsychologyInclusion (mineral)Diversity trainingHealth careDiversity (politics)TransgenderQualitative researchNursingPublic relationsSociologySocial psychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Objectives: To determine what constitutes inclusive practices toward LGBT older adults in healthcare and social services and the supportive competencies of these practices. Methods: A comprehensive scoping review of the existing literature was conducted.Results: To be competent when addressing LGBT elder needs, personnel must have knowledge on LGBT realities, openness and be able to put certain skills into practice.Conclusions: Given the limited powers conferred on them by their respective positions, institutions must also play a role in encouraging the inclusion of LGBT older adults. Beyond the importance of taking into account the three dimensions of competence in staff training, changes must be made at all levels of the organizational structures.Clinical implications: Inclusive practices require 1) Educating personnel on the diversity of the life journeys of LGBT older adults; 2) Promoting relational and communication skills and open, friendly attitudes toward the diversity of LGBT identities; 3) Developing policies and procedures to create and maintain inclusive and safe environments for LGBT older adults.

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)0.005
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.546
GPT teacher head0.677
Teacher spread0.130 · 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 designSystematic review
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

Citations38
Published2020
Admission routes1
Has abstractyes

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