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Exploring sexual and reproductive health among adolescent and young adult patients with cancer: A patient-oriented qualitative study using novel, serial focus groups.

2024· article· en· W4399280301 on OpenAlexafffundabout
Niki Oveisi, Vicki Cheng, Dani Taylor, Haydn Bechthold, Mikaela Barnes, Norman Jansen, Helen McTaggart‐Cowan, Lori A. Brotto, Stuart Peacock, Gillian E. Hanley, Sharlene Gill, Meera Rayar, Amirrtha Srikanthan, Mary A. De Vera

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversity of OttawaBC Children's HospitalBC Cancer AgencyOttawa HospitalUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsMedicineReproductive healthFocus groupQualitative researchFamily medicineGynecologyPopulation

Abstract

fetched live from OpenAlex

e23080 Background: While treatment advances for adolescent and young adult (AYA, ages 15 - 39) cancers are improving survival, there is a lack of information and support regarding impacts of AYA cancer on sexual and reproductive health (SRH) during and after treatment. Our study explored SRH experiences of AYA cancer patients using novel, serial focus groups. Methods: With online and in-person approaches, we recruited folks who: 1) Were diagnosed with cancer at age 15 – 39; 2) Reside in Canada; and 3) Are over 18. Participants were grouped into cohorts based on akin characteristics (e.g., sex, stage). Each cohort engaged in three focus groups, mimicking support groups, to foster community and trust. An interview guide was iteratively developed with patient research partners. We used framework analysis to identify recurring themes and patterns, offering full insight of participants’ SRH perspectives and experiences from deductive and inductive views. Results: We recruited 4 focus group cohorts, with 6–10 participants each (N = 24 females, 6 males), representing various cancer types (e.g., pelvic, hematologic) and stages (1–4). Cohorts had representation of transgender (n = 1) and gender diverse folks (n = 3), non-heterosexual sexual orientation (n = 11), and racial diversity (n = 9). We identified three themes describing participants’ experiences: 1) internally (“looking inwards”) – impact of AYA cancer on SRH; 2) externally (“looking outwards”) – impact of cancer on interpersonal relationships; and 3) role of the healthcare system. Internally, folks described complex impacts of AYA cancer on themselves, revealing shifting definitions, perspectives, expectations, and goals of SRH over time. Dynamic interplays of AYA cancer also surfaced, unveiling mental, physical, and financial health changes that positively or negatively impacted participants’ SRH and influenced short and long-term well-being. Externally, changes in romantic relationships and family planning underscored the complex interplay of societal pressures on SRH and reproductive choices. Regarding the healthcare system, findings highlight facilitators (i.e., self-advocacy, nurses, recent pregnancy, provider with similar identity, etc.) and barriers (i.e., gender, SRH stigma, age, fertility treatment costs, heteronormativity, SRH deprioritization, etc.) that influence access to appropriate and available SRH resources and support. Conclusions: SRH challenges have significant internal and external impacts among AYA cancer patients and their interpersonal relationships during and after treatment. By understanding their SRH experiences throughout their cancer care, providers and the healthcare system can identify opportunities to implement SRH care more effectively into the cancer care continuum, significantly improving health outcomes for AYA cancer patients.

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)0.014
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0020.003
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.233
GPT teacher head0.489
Teacher spread0.256 · 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 designQualitative
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".

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Citations0
Published2024
Admission routes3
Has abstractyes

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