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Self‐reported use of shared decision‐making among breast cancer specialists and perceived barriers and facilitators to implementing this approach

2004· article· en· W2162012809 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Expectations · 2004
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsCancer Care OntarioMcMaster University
FundersCanadian Breast Cancer Research AllianceBreast Cancer Alliance
KeywordsMedicineBreast cancerSpecialtyAnxietyFamily medicineMisinformationPatient participationMEDLINEPaternalismNursingCancerInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Physicians are increasingly urged to practice shared decision-making with their patients. Using a cross-sectional survey, we explored the extent to which Ontario breast cancer specialists report practising shared decision-making with their patients, their comfort level with this approach, and perceived barriers and facilitators to implementation. PARTICIPANTS AND METHODS: All Ontario surgeons and oncologists (radiation and medical) treating women with early-stage breast cancer were eligible for this study. Likert scales were used to measure physicians' comfort level with and self-reported use of different treatment decision-making approaches as well as perceived barriers and facilitators to treatment decision-making with patients. RESULTS: The response rate was 79% for oncologists and 72% for surgeons. More physicians from each specialty (87% of oncologists and 89% of surgeons) expressed high levels of comfort with clinical example 4 (designed to illustrate a shared approach) than with any of the other examples presented (e.g. the informed and paternalistic approach). Similarly, more oncologists and surgeons reported that their usual approach to treatment decision-making was like example 4 than like any other approach presented (56% of oncologists and 69% of surgeons, respectively). Comfort levels with example 4 for oncologists and surgeons were 31% and 20% higher, respectively, than the reported use of this approach. Lack of time and patient anxiety, patient lack of information and/or misinformation, and patient unwillingness or inability to participate were perceived by a substantial minority of both oncologists and surgeons as barriers to patient involvement in treatment decision-making. Key facilitators identified included patients' emotional readiness, support, information and trust in the physician. More research is needed to identify contextual, physician, patient, and interaction factors that will facilitate shared decision-making in the medical encounter and help both parties create an environment conducive to implementing this approach to the extent desired.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.155
GPT teacher head0.442
Teacher spread0.287 · 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