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Abstract P1-11-10: Young women with breast cancer: Needs and experiences

2015· article· en· W1607477907 on OpenAlexaff
Punam Rana, Jonathan Sussman, Jenna Ratcliffe, Margaret Forbes, Mark N. Levine, Nicole Hodgson

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychosocialBreast cancerFocus groupMedicineFamily medicineMastectomyInformation needsQualitative researchFertility preservationCancerGynecologyHuman sexualityFertilityGerontologyPopulationPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background About 11% of all breast cancers in the United States are diagnosed in women younger than the age of 45. Young women with breast cancer (YWBC) may experience unique physical and psychosocial problems. Meeting the needs of these young women is often dependent on a patient’s oncology team. There is a lack of data about the experiences of YWBC in our region including whether their needs are met and which resources are available and offered to them. Objectives To explore the unique physical and psychosocial needs of YWBC in our region (Hamilton and Niagara) and to describe what information YWBC receive, and which decisions are made, regarding: fertility, breast reconstruction, mastectomy, sexuality and emotional support. Methods This study includes women 40 years of age or less who were diagnosed with invasive breast cancer within 12 months. Using a qualitative design, participants attended a 1 hour focus group or a 30 minute interview moderated by the research coordinator, JR. Recordings were transcribed verbatim, with anonymization of any identifying information. Fourteen participants (ages 30 to 40) were included. Co-PI (PR) and JR reviewed the transcripts, complied recurring categories, and discrepancies were resolved via consensus. Results Most participants underwent a timely work-up and diagnosis (64%) but some experienced a delay in diagnosis (37%) as they were seen as unlikely to have cancer due to age. A majority of the participants felt they were provided enough information for informed decisions about treatment. However, over one third of the women were not provided any information about social or community supports and a similar proportion also felt that fertility and sexuality issues were not adequately addressed. Over one third planned on having bilateral mastectomy and/or immediate reconstruction, regardless of physician recommendation. The most distressing aspects of the cancer experience included: telling children and parents about the diagnosis; waiting for test results; fear of recurrence; and re-starting life after breast cancer. Recurring Themes From YWBCRecurring ThemesFG1FG2FG3INT1INT2INT3INT4Initial DiagnosisTimely Diagnosis•• •• • • •••Delay in Diagnosis• •• • • Poorly Communicated• •• • TreatmentUndergoing B/L mastectomy•••• • Undergoing reconstruction•• •• • CommunicationWell informed about Rx plan• • •• • •• •• Not well-informed about Rx plan • ••••Well informed about fertility • Not well-informed about fertility ••• •Needs met re: sexuality • Needs unmet re: sexuality• • •Info provided re: supports• • • •••• Info not provided re: supports • • • • •Supports UtilizedSocial Worker • ••• Community Services• • •••••• None • • • • • FG=Focus Group; INT=Interview Conclusion YWBC feel that they are provided with adequate medical information for treatment decision-making. However there is a gap in supports for psychosocial, fertility, and sexuality-related needs. Interventions targeted to address these unmet needs should be evaluated. In the second phase of this study, we will create an instrument to further assess the needs of young women with breast cancer in our region. Citation Format: Punam Rana, Jonathan Sussman, Jenna Ratcliffe, Margaret Forbes, Mark Levine, Nicole Hodgson. Young women with breast cancer: Needs and experiences [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P1-11-10.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.098
GPT teacher head0.415
Teacher spread0.317 · 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
Published2015
Admission routes1
Has abstractyes

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