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Record W4400171210 · doi:10.1016/j.esmoop.2024.103618

An assessment of the attitudes, knowledge, and education regarding the health care needs of LGBTQ patients with cancer: results of an ESMO/SIOPE global survey

2024· article· en· W4400171210 on OpenAlexaff
Emmanouil Saloustros, Andrea Ferrari, Nathalie Gaspar, Giannis Mountzios, Anne Blondeel, Stefan Bielack, Dan Stark, Angela Toss, Katrin Scheinemann, S. Jezdic, Fedro A. Peccatori

Bibliographic record

VenueESMO Open · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMcMaster UniversityMcMaster Children's Hospital
FundersEuropean Society for Medical OncologyEuropean Society for Paediatric Oncology
KeywordsFamily medicineMedicineMedical educationPsychologyGerontology

Abstract

fetched live from OpenAlex

•We report data from a global survey of oncology care providers’ attitudes when treating LGBTQ patients with cancer.•Most providers feel comfortable treating LGBTQ patients.•Respondents do not feel well-prepared by pre/postgraduate training programmes about the health care needs of LGBTQ patients.•The need for improved information gathering of gender identification and sexual orientation status was raised.•Strong interest for additional education on these issues was expressed. BackgroundLesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals with cancer have specific and unique health issues and needs. Reports persist of inequalities in the care provided for these patients, making it important to assess the attitudes and knowledge of LGBTQ needs among those who provide care.Materials and methodsThe European Society for Medical Oncology (ESMO) and the European Society for Paediatric Oncology (SIOP Europe) Adolescents and Young Adults Working Group designed this survey comprising 67 questions covering demographics, knowledge, and education of LGBTQ health needs, and attitudes regarding LGBTQ patients with cancer.ResultsAmong the 672 respondents, a majority do not ask about sexual orientation and gender identity during first visit (64% and 58%, respectively). Only a minority of the respondents considered themselves well informed regarding gay/lesbian and transgender patients’ health (44% and 25%, respectively) and psychosocial needs (34%). There was high interest in receiving education regarding the unique health needs of LGBTQ patients (73%).ConclusionsSurvey respondents indicated a willingness to provide care to LGBTQ patients, but a lack of confidence in the knowledge of the health issues and needs of LGBTQ individuals. Lack of training provided in medical schools and postgraduate training programmes and strong interest for additional education on these issues were reported. Lesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals with cancer have specific and unique health issues and needs. Reports persist of inequalities in the care provided for these patients, making it important to assess the attitudes and knowledge of LGBTQ needs among those who provide care. The European Society for Medical Oncology (ESMO) and the European Society for Paediatric Oncology (SIOP Europe) Adolescents and Young Adults Working Group designed this survey comprising 67 questions covering demographics, knowledge, and education of LGBTQ health needs, and attitudes regarding LGBTQ patients with cancer. Among the 672 respondents, a majority do not ask about sexual orientation and gender identity during first visit (64% and 58%, respectively). Only a minority of the respondents considered themselves well informed regarding gay/lesbian and transgender patients’ health (44% and 25%, respectively) and psychosocial needs (34%). There was high interest in receiving education regarding the unique health needs of LGBTQ patients (73%). Survey respondents indicated a willingness to provide care to LGBTQ patients, but a lack of confidence in the knowledge of the health issues and needs of LGBTQ individuals. Lack of training provided in medical schools and postgraduate training programmes and strong interest for additional education on these issues were reported.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.486
Teacher spread0.448 · 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.

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".

Quick stats

Citations5
Published2024
Admission routes1
Has abstractyes

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