Curbing excess gestational weight gain in primary care: using a point-of-care tool based on behavior change theory
Bibliographic record
Abstract
INTRODUCTION: Excess gestational weight gain (GWG) is a risk factor for several adverse outcomes for mothers and their offspring. In Nova Scotia, Canada, approximately 60% of women experience excess GWG. Outside the pregnancy arena, a patient-centered approach has been shown to promote increased patient adherence to clinician recommendations, and increased intentions for, and attempts at, behavior change. The 5As of Healthy Pregnancy Weight Gain is a tool that assists clinicians to have patient-centered discussions about GWG. This feasibility trial examined the association between training in the use of this tool and women's self-efficacy to manage GWG, readiness to adhere to GWG guidelines, perception of their clinicians' patient-centeredness when discussing GWG, and guideline concordance of total GWG. METHOD: Participants were 11 family physicians who provide prenatal care and 24 of their patients who were pregnant. Physicians were randomly assigned to a single 60-minute training session in the use of the tool or usual care. Consenting patients completed measures of social support, stress, patient-perceived patient-centeredness, self-efficacy, and motivation. At the end of each woman's pregnancy, data pertaining to guideline concordance of GWG were collected. RESULTS: Comparison of patient participants with prenatal care providers in the trained and untrained groups showed no significant difference in patient-perceived physician patient-centeredness when discussing GWG, self-efficacy to manage GWG, readiness to adhere to GWG guidelines, or GWG congruence with the guidelines. CONCLUSION: This feasibility study required very little time commitment and entailed minimal disruption to clinicians' practices. Nonetheless, it was very difficult to recruit clinicians for the study. Although recent theory-driven work showed that prenatal care providers have, overall, high perceived self-efficacy in discussing GWG with their patients, most studies have demonstrated that these providers do not often discuss GWG with their patients; so, there is clearly a mismatch in their perceived self-efficacy and what actually transpires.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".