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Record W4319438353 · doi:10.2196/44918

Health Experiences of Sexual and Gender Minority People Living With Dementia and Their Care Partners: Protocol for a Scoping Review

2023· review· en· W4319438353 on OpenAlexvenueno aff
Jennifer T. May, Melissa Harris

Bibliographic record

VenueJMIR Research Protocols · 2023
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersU.S. Department of Veterans Affairs
KeywordsCINAHLDementiaHealth careMEDLINEMedicineScopusGerontologyHealth equityPsychologyNursingPsychological interventionPublic healthDiseasePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: People living with dementia and their care partners who identify as a sexual and gender minority (SGM) often experience specific health inequities and disparities due to discrimination related to age, cognitive impairment, and being SGM. OBJECTIVE: The purpose of this scoping review is to identify, explore, and synthesize the state of the science regarding the health and health care experiences of SGM people living with dementia and their care partners. This review also aims to identify gaps in research and set forth key recommendations to improve the health and health care experiences of SGM people living with dementia and their care partners by advancing health equity through research, policy, and practice. METHODS: The protocol follows the guidelines set forth by Joanna Briggs Institute protocol for scoping reviews. Steps of this framework that will be followed include (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; (5) collating, summarizing, and reporting the results; and (6) consultation. This scoping review will explore several electronic databases, including MEDLINE, Embase, CINAHL, AgeLine, PsychINFO, and Scopus. Health librarians will conduct the initial search for articles that are in English, include people living with dementia who identify as SGM, SGM people living with dementia and their care partners, or SGM care partners caring for people with dementia. Studies must be peer reviewed and focus on the phenomenon of interest, which is the health and health care experiences of participants. Covidence will be used to review abstracts and full-text articles and to screen articles. After the search has been completed, 2 independent reviewers will screen article titles and abstracts to identify eligibility. Discrepancies will be discussed and decided upon by the 2 reviewers. Relevant studies will be collected, and data will be extracted and charted to summarize key findings. Key findings will be presented to a community stakeholder group of SGM care partners and people living with dementia, and a listening session will be convened. RESULTS: This scoping review will identify the state of the science of health and health care experiences of people living with dementia and their care partners who identify as SGM. We will identify gaps and provide recommendations to inform future research, policy, and practice to improve health and health care experiences of SGM people living with dementia and their care partners. CONCLUSIONS: Little is known about people living with dementia and their care partners who identify as SGM. This scoping review will be one of the first to identify the health and health care experiences of people living with dementia and their care partners who identify as SGM. The results of this review will be used to guide future interventions and to inform future policy and practice to improve health care and reduce health disparities in this population. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/44918.

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)0.112
metaresearch head score (Gemma)0.103
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.112
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1120.103
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0110.014
Bibliometrics0.0180.016
Science and technology studies0.0070.006
Scholarly communication0.0090.011
Open science0.0070.009
Research integrity0.0110.009
Insufficient payload (model declined to judge)0.0660.011

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 head0.677
GPT teacher head0.707
Teacher spread0.030 · 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 designSystematic review
Domainnot available
GenreProtocol

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

Citations3
Published2023
Admission routes1
Has abstractyes

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