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Record W2162893678 · doi:10.1111/1467-9566.12280

Trust, choice and obligation: a qualitative study of enablers of colorectal cancer screening in South Australia

2015· article· en· W2162893678 on OpenAlexaff
Paul Ward, Cushla Coffey, Samantha B. Meyer

Bibliographic record

VenueSociology of Health & Illness · 2015
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Waterloo
FundersCancer Australia
KeywordsObligationPopulationAcknowledgementIndigenousMedicineQualitative researchFamily medicineGovernment (linguistics)Colorectal cancerDutyPublic relationsCancerPolitical scienceSociologyLawEnvironmental healthSocial scienceInternal medicine

Abstract

fetched live from OpenAlex

Colorectal cancer (CRC) has the second highest cancer prevalence and mortality rates in Australia. The Australian National Bowel Cancer Screening Program (NBCSP) aims to increase early detection of CRC by offering free faecal occult blood testing. The NBCSP aims to offer choice to consumers about whether or not to participate in screening. This article presents data on trust, choice and perceived obligation to participate in the NBCSP by population groups with low uptake. A qualitative study was undertaken in South Australia. We interviewed 94 people from four culturally distinct groups: Greek, Iranian, Anglo-Australian and Indigenous peoples. This article demonstrates the complexity of factors shaping the choice, or lack thereof, to participate in the NBCSP. Informed choice is based on adequate knowledge, although this varied among our participants, highlighting the need for more health education in appropriate languages. An obligation to participate was found in the Iranian and Anglo-Australian groups and resulted from an established personal relationship with the doctor, a sense of duty, the acknowledgement of government investment and appreciation. Overall, this article makes a link between trust, choice and obligation, adding to literature on the sociology of trust and medical screening and highlighting important issues in the need of a policy and practice to improve CRC screening rates.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.133
GPT teacher head0.437
Teacher spread0.304 · 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.

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".

Quick stats

Citations55
Published2015
Admission routes1
Has abstractyes

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