Adolescent health screening practices by physicians in Jamaica
Bibliographic record
Abstract
OBJECTIVE: To review Jamaican physicians' adolescent health screening practices by determining their frequency in areas of biomedical, psychological, social, and educational health; the factors that influence these practices; and physicians' perceived level of self-efficacy and their awareness of screening tools and guidelines. METHODS: A questionnaire was mailed to general practitioners, family medicine specialists, and pediatricians in Jamaica. The primary outcome variable was the frequency of physician screening for a range of biomedical, psychosocial, and educational developmental issues in the majority (≥ 50%) of adolescent patients. Bivariate analyses were performed to determine differences between professional groups. RESULTS: The response rate was 32.3% (n = 213), with 209 responders being suitable for further analysis. The sample comprised 48.8% general practitioners, 33.0% family medicine specialists, and 18.2% pediatricians. Physicians more often screened for biomedical risks than for psychosocial risks, with very low frequencies of screening for psychosocial issues such as mood, suicidal ideation, sexual orientation, and safety concerns. Physicians reported high levels of confidence in discussing most psychosocial issues with adolescent patients. Time limitation and an insufficient knowledge base were the main factors identified as influencing screening practices. CONCLUSIONS: The data suggest unsatisfactory frequency of adolescent health screening by Jamaican physicians, in particular for psychosocial factors. The primary factors identified by physicians as influencing their screening practices have potential for improvement through continued medical education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".