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Record W2076866815 · doi:10.5737/1181912x184193198

Understanding the role of cancer informational support in relation to health care service use among newly diagnosed individuals

2008· article· en· W2076866815 on OpenAlexafffundvenueabout
Sylvie Dubois, Carmen G. Loiselle

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2008
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsMcGill UniversityMiQro Innovation Collaborative CentreUniversité de MontréalJewish General HospitalCanadian Nurses Association
FundersCanadian Nurses FoundationMcGill University
KeywordsRelation (database)Service (business)Health careCancerPsychologyEnvironmental healthMedicineBusinessMarketingComputer scienceData miningEconomicsEconomic growth

Abstract

fetched live from OpenAlex

A qualitative study was undertaken to explore the role of informational support in relation to health care service use among individuals with cancer. In-depth interviews were conducted with participants (N = 20) newly diagnosed with either breast or prostate cancer receiving radiotherapy from an oncology clinic in Montreal, Quebec. Content analysis revealed that participants' perceptions about their experience with cancer informational support in relation to health care services varied along the following dimensions: (1) Cancer informational support was tangible, which enabled, confirmed, normalized, and directed their decisions about reliance on health services; (2) Cancer informational support was somewhat paralyzing, which led to distress, conflict, reduced confidence in the health care system and, at times, misuse of health care services; and (3) Cancer informational support was limiting, with perceptions of having received both helpful and unhelpful cancer information which, in turn, although tolerated, offered little guidance in terms of reliance on the most appropriate services. Knowledge about how and when informational support may be most timely may optimize individuals' well being and further guide their use of cancer-related services.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.122
GPT teacher head0.443
Teacher spread0.322 · 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.

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

Citations14
Published2008
Admission routes4
Has abstractyes

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