A nationwide assessment of lifestyle medicine counseling: knowledge, attitudes, and confidence of Israeli senior family medicine residents
Bibliographic record
Abstract
BACKGROUND: Non-communicable diseases are the leading causes of death, largely due to the last century's often-unhealthy lifestyles. Family medicine (FM) and other physicians can improve patients' lifestyle behaviors, yet FM residency programs in Israel and other countries do not uniformly deliver lifestyle medicine (LM) training. The readiness of FM residents to counsel on lifestyle issues is not known. The purpose of this study is to assess knowledge, attitudes, and confidence levels of senior Israeli FM residents regarding LM counseling, and to evaluate the influence of LM training and personal health behaviors on residents' LM knowledge, attitudes, and confidence. METHODS: From May to June 2017, we surveyed all senior Israeli FM residents regarding their knowledge, attitudes, confidence, and personal health behaviors. We compared health behaviors, attitudes, and confidence in counselling between: 1) trained residents vs. untrained residents; 2) physically active residents vs. not physically active residents; 3) residents with a BMI < 25 vs. those with a BMI > 25; and 4) residents who eat a Mediterranean diet vs. those who do not. RESULTS: A total of 169 senior Israeli FM residents were surveyed, and 143 completed the survey, a response rate of 84.6%. Senior FM residents said they considered LM counseling to be an integral part of their role and an effective tool by which to improve a patient's health. Yet, their knowledge of LM and their confidence in delivering LM counseling are low. Compared with untrained residents (n = 84), LM-trained residents (n = 55) had higher knowledge scores (30.9% vs. 13.1%, p = 0.016) and were more confident in their ability to impact their patients' behaviors (53.7% vs. 34.5%, p = 0.004). Residents' positive personal health behaviors correlated with a higher level of confidence to provide LM counseling. CONCLUSIONS: FM physicians can play a key role in the management of patients with chronic diseases. Israeli FM residents consider counseling patients about a healthy lifestyle to be an integral part of their work, but do not feel well prepared to do so. Dedicated LM training and resident's personal health promotion may improve critically important levels of LM counseling and patient outcomes, and this training should therefore become a higher priority.
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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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".