Adverse Childhood Experiences: Survey of Resident Practice, Knowledge, and Attitude.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Adverse childhood experiences (ACEs) affect 20%-50% of adults and are associated with considerable adult chronic disease, unhealthy behavior, and early mortality. Physicians seldom identify this history although identification can improve health. Low screening rates are attributed to poor physician knowledge of ACEs and barriers to screening, including a lack of confidence to screen and insufficient training. Female physicians and physicians with personal ACE histories report more confidence to screen and fewer time barriers. Our aims were to identify resident screening practices, ACE knowledge, attitudes, and personal ACE histories and to determine preferred ways to learn more, if required. METHODS: Family medicine residents were surveyed, using a previously published survey. Items included ACE screening practices, ACE knowledge, attitudes, and personal ACE histories. RESULTS: The response rate was 97% (112/115), and 58% were female. Two percent of residents screened females and males at the first visit, thereafter residents screened women (6.3%) more than men (0.9%). One third of residents identified the correct prevalence of ACE in women and one tenth male prevalence. Unhealthy behaviors or physical chronic disease were not associated with ACE histories. Sixty-five percent of residents were not confident to screen. Twenty-nine percent of residents reported a trauma history. Eighty percent believed it was their role to screen. Formal medical training to screen was received by 45.5%; only five residents recalled training during residency. CONCLUSIONS: Resident ACE screening rates were extremely low. Physician educational initiatives are recommended to increase confidence to screen and actual screening prior to graduation.
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.
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 | 0.002 |
| 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 it