ArticlePatient preference and adherence2023
Exploring the Important Determinants Shaping Treatment Preferences: Qualitative Insights into Breast Cancer Patient Experiences and Perspectives in New Zealand.
Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Men's Preferences for Exiting Abdominal Aortic Aneurysm Surveillance: A Deliberative Engagement Session Study.Patient preference and adherence · 2026Article
- Cultural Adaptation and Preliminary Validation of Adherence Questionnaires for Japanese Patients with Breast Cancer: A Pilot Study.Patient preference and adherence · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Despite the importance of acknowledging patient preferences in treatment decision-making, little is known about the treatment preferences and the factors underlying those preferences of breast cancer patients. This study aims explore patient experience and perspective regarding treatment preferences and identify the important determinants that shape these preferences in the context of New Zealand. Patients and Methods: Semi-structured online interviews comprised of six focus group discussions and five individual interviews were performed with 26 breast cancer patients. The interviews were recorded, transcribed, and analyzed using the reflexive thematic analysis approach. Results: Four main themes were derived: (1) positive treatment outcomes; (2) the negative impact of treatment-related side effects on quality of life; (3) treatment accessibility, availability, and timeliness; (4) cost of treatment. Patients revealed a strong preference towards treatments that yield longer survival, achieve remission, and prevent cancer recurrence. Additionally, patients favored treatments with minimal side effects that had minimal impact on their quality of life. There was a notable preference for treatments that were easily accessible and available in a timely manner. However, patients faced challenging decisions in balancing the costs of treatments with their benefits, leading to a consistent preference for treatments supported by government funding or medical insurance to alleviate financial burdens. Conclusion: Our study reveals that breast cancer patients in New Zealand have different perceptions and preferences regarding cancer treatment. Patients frequently find themselves making trade-offs among various attributes of a treatment, aligning these decisions with their personal values and beliefs. By considering these preferences and trade-offs in future studies that measure patient preferences, healthcare professionals can enhance their support for patients in making informed choices that align with their values and priorities. Additionally, healthcare policymakers can develop patient-centered policies that cater to the unique needs and preferences of breast cancer patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.