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Record W2143298510 · doi:10.3109/0167482x.2012.709291

Sexual health and gynecological cancer: conceptualizing patient needs and overcoming barriers to seeking and accessing services

2012· article· en· W2143298510 on OpenAlexaff
Megan K. McCallum, Monique Lefèbvre, Lynne Jolicoeur, Christine Maheu, Sophie Lebel

Bibliographic record

VenueJournal of Psychosomatic Obstetrics & Gynecology · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsToronto General HospitalOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsHuman sexualityReproductive healthPsychological interventionDistressHealth carePsychologyMedicineQualitative researchFocus groupClinical psychologyNursingPopulation

Abstract

fetched live from OpenAlex

OBJECTIVE: The current study explored the subjective experiences of women treated for a gynecological cancer, with a focus on filling gaps in the current literature. Topics explored were: (1) women's own definitions of healthy sexuality; (2) services desired to meet needs; and (3) barriers to participation in sexual health-related services. METHODS: Fifteen women participated in a one-on-one, semistructured interview. Data collection and analysis were based on guidelines of interpretive description. RESULTS: Definitions of healthy sexuality included emotional intimacy, body image, sexual self-schema, and sexual response. Unmet sexual needs were reported when women's current sexual experiences did not correspond with their subjective perceptions of healthy sexuality. Most women desired informational services, delivered one-on-one or through written material. Younger women often did not utilize services due to practical barriers and emotional avoidance, while older women reported that shyness and stigma discouraged them from discussing sexuality with their health care team. CONCLUSIONS: In order to understand patient needs and desire for help, health care providers should assess current sexual health and patient perceptions of healthy sexuality. To increase effectiveness of distress screening and treatment interventions, potential barriers must be evaluated and addressed.

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)0.001
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 score0.262
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.028
GPT teacher head0.323
Teacher spread0.296 · 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

Citations82
Published2012
Admission routes1
Has abstractyes

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