Survey of perceptions and educational needs of primary care providers regarding management of patients with class II and III obesity in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Primary care providers (PCPs) are typically the primary contact for patients with obesity seeking medical and surgical weight loss interventions; however, previous studies suggest that fewer than 7% of eligible adult patients are referred to publically funded medical and surgical weight loss interventions (MSWLI). METHODS: We performed an anonymous survey study between October 2017 and June 2018 to explore the knowledge, experiences, perceptions, and educational needs of PCPs in Southeastern Ontario in managing patients with class II and III obesity. RESULTS: Surveys were distributed to 591 PCPs (n = 538 family physicians; n = 53 nurse practitioners) identified as practicing in the Southeastern Ontario and 92 (15.6%) participated. PCPs serving a rural population estimated that 14.2 ± 10.9% of patients would qualify for MSWLI compared to 9.9 ± 8.5% of patients of PCPs serving an urban population (p = .049). Overall, 57.5% of respondents did not feel competent prescribing MSWLI to patients with class II/III obesity, while 69.8% stated they had 'good' knowledge of the referral criteria for MSWLI. 22.2% of respondents were hesitant to refer patients for bariatric surgery (BS) due to concerns about postoperative surgical complications and risks associated with surgery. Only 25% of respondents were comfortable providing long-term follow up after BS, and only 39.1% had participated in continuing education on management of patients with class II/III obesity in the past 5 years. CONCLUSION: The majority of PCPs believe there is a need for additional education about MSWLI for patients with class II/III obesity. Future studies are needed to develop and compare the effectiveness of additional education and professional development around risks of contemporary BS, indications to consider referral for MSWLI, management and long-term follow-up of patients after BS.
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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 | 0.001 |
| 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".