Knowledge, Attitude, and Practice of Colorectal Cancer Screening Among Primary Healthcare Physicians in Riyadh Second Health Cluster
Bibliographic record
Abstract
BACKGROUND: Colorectal cancer is the third common cancer, and the second common cause of cancer death in the world. According to the 2014 Cancer Incidence Report of the Kingdom of Saudi Arabia, colorectal cancer account for 11.5% from all cancers reported among Saudi nationals. By the year 2030, the incidence of colorectal cancer could increase fourfold among both genders. AIM: The study aimed to conduct to understand the knowledge, attitude, and practice of primary healthcare physicians regarding colorectal cancer screening in Riyadh Second Health Cluster in the city of Riyadh, Saudi Arabia. MATERIALS AND METHODS: A cross-sectional study design, probability proportional to size sampling at the cluster zones level and convenient sampling for the physicians, were used among physicians working in the primary healthcare centers in the city of Riyadh between October 2022 and November 2022. RESULT: Of the 213 respondents, the mean age of the physician was 35, the majority were males (59%), Saudi Arabian nationality (60%), Resident Physicians (54%) and ≤ five years' work experience (45%). Sixty-four percent of the study participants believe that the majority of asymptomatic average-risk patients have to start the screening at the age of 45 years old. Ninety-seven percent believe that colorectal cancer screening for asymptomatic average-risk patients aged 45 years and older is effective. Ninety-two percent of the physicians perform colorectal cancer screening for asymptomatic average-risk patients aged 45 years. The mean knowledge score is 4.65 (SD=2.33) with a range of 0 to 10. The mean attitude score is 4.19 (SD=1.28) with a range of 0 to 6. CONCLUSION: The study found that the physicians had higher attitude and practice towards colorectal cancer screening and adequate knowledge towards colorectal cancer screening. The knowledge and attitude scores are associated with practicing colorectal cancer screening.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, not a consensus.
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".