Institutional (mis)trust in colorectal cancer screening: a qualitative study with <scp>G</scp>reek, <scp>I</scp>ranian, <scp>A</scp>nglo‐<scp>A</scp>ustralian and <scp>I</scp>ndigenous groups
Bibliographic record
Abstract
INTRODUCTION: Colorectal cancer (CRC) has the second highest cancer mortality rate in Australia. The Australian National Bowel Cancer Screening Program (NBCSP) aims to increase early detection of CRC by offering free Faecal Occult Blood Testing (FOBT), although uptake is low for culturally and linguistically diverse (CALD) groups. AIM OF PAPER: To present data on trust and mistrust in the NBCSP by population groups with low uptake and thus to highlight areas in need of policy change. METHODS: A qualitative study was undertaken in South Australia, involving interviews with 94 people from four CALD groups: Greek, Iranian, Anglo-Australian, and Indigenous peoples. RESULTS: Our study highlights the complexities of institutional trust, which involves considerations of trust at interpersonal, local and national levels. In addition, trust and mistrust was found in more abstract systems such as the medical knowledge of doctors to diagnose or treat cancer or the scientific procedures in laboratories to test the FOBTs. The object of institutional (mis)trust differed between cultural groups - Anglo-Australian and Iranian groups indicated a high level of trust in the government, whereas Indigenous participants were much less trusting. CONCLUSION: The level and nature of trust in the screening process varied between the CALD groups. Addressing program misconceptions, clarifying the FOBT capabilities and involving medical services in collecting and transporting the samples may increase trust in the NBCSP. However, broader and more enduring mistrust in services and institutions may need to be dealt with in order to increase trust and participation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".