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Record W4296031304 · doi:10.11124/jbies-22-00066

Barriers and facilitators for accessing and prescribing hormone therapy in primary care for transgender adults: a scoping review protocol

2022· review· en· W4296031304 on OpenAlexaff
Erin Ziegler, Christine Marie Mills, Ji-Yoon Jessica Lee, Benjamin Carroll

Bibliographic record

VenueJBI Evidence Synthesis · 2022
Typereview
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsQueen's UniversityToronto Metropolitan University
Fundersnot available
KeywordsCINAHLTransgenderInclusion (mineral)Hormone therapyMedicineMEDLINEFamily medicineMedical prescriptionNursingPrimary careHealth careMedical educationPsychologyPsychological interventionCancer

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this scoping review is to understand the extent and type of evidence in relation to barriers and facilitators experienced by transgender adults in accessing hormone therapy. It will also explore the experiences of primary care practitioners in prescribing hormone therapy in primary care. INTRODUCTION: Providing care to transgender patients is a rapidly growing area of primary care. Despite the existence of clinical practice guidelines that support the prescription of gender-affirming hormone therapy in primary care, only a small number of primary care providers are offering this care. This review will seek to advance research on this topic by examining the barriers and facilitators of hormone prescription for transgender adults in primary care. INCLUSION CRITERIA: This review will consider research on primary care practitioners who prescribe hormone therapy to transgender adults. It will also focus on transgender adults who seek hormone therapy in primary care. Only studies that examine barriers and facilitators in primary care will be included. The review will include qualitative, quantitative, and mixed methods studies, in addition to systematic reviews and meta-analyses. METHODS: The search will include MEDLINE, CINAHL, EmCare, and Nursing and Allied Health Premium. No date limits will be applied to the search. Only articles written in English will be eligible for inclusion. Articles will be reviewed and data extracted by 2 independent reviewers. The results of the extracted data will be presented in a narrative summary with accompanying tables.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.554
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.099
GPT teacher head0.459
Teacher spread0.359 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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