Perspectives on living with ovarian cancer: older women's views.
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To describe the perspectives of older women regarding their experiences living with ovarian cancer. DESIGN: Retrospective survey. SETTING: Canada. SAMPLE: 146 women, 61 years of age or older, diagnosed with ovarian cancer. METHODS: Questionnaire distributed by oncologists and nurses in 26 cancer clinics across Canada to eligible patients during a six-week period. MAIN RESEARCH VARIABLES: Patient problems experienced, help received for problems, impact of illness, quality of life, importance of and satisfaction with information received, and helpfulness of others. FINDINGS: Women experienced, on average, 5.2 problems since diagnosis. The most frequently identified problems were side effects (54%), fear of recurrence (45%), bowel difficulties (43%), and difficulty sleeping (36%). Of the women who experienced problems, the proportion who felt they received adequate help ranged from 36%-74%. Approximately half (57%) of these women reported a lifestyle change. A significant difference was observed in quality of life before and after the diagnosis of ovarian cancer (p = 0.0002). When asked about the desire to talk about their difficulties with cancer, only 54% indicated that they wanted to talk. Approximately one-quarter of the women were satisfied with the information they received regarding complementary (25%) and alternative (23%) therapies, and how to speak with other women living with ovarian cancer (28%). Thirty-five percent were satisfied with the information they received about self-help groups. CONCLUSION: Ovarian cancer has a significant impact on older women, and many perceive they are not receiving adequate assistance for problems they experience. IMPLICATIONS FOR NURSING PRACTICE: Oncology nurses should conduct comprehensive assessments of the needs of older women with ovarian cancer, refer those who require specialized counseling, and provide information desired by patients with ovarian cancer about available resources.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".