Parental decision making involvement and decisional conflict: a descriptive study
Bibliographic record
Abstract
BACKGROUND: Decisional conflict is a state of uncertainty about the best treatment option among competing alternatives and is common among adult patients who are inadequately involved in the health decision making process. In pediatrics, research shows that many parents are insufficiently involved in decisions about their child's health. However, little is known about parents' experience of decisional conflict. We explored parents' perceived decision making involvement and its association with parents' decisional conflict. METHOD: We conducted a descriptive survey study in a pediatric tertiary care hospital. Our survey was guided by validated decisional conflict screening items (i.e., the SURE test). We administered the survey to eligible parents after an ambulatory care or emergency department consultation for their child. RESULTS: Four hundred twenty-nine respondents were included in the analysis. Forty-eight percent of parents reported not being offered treatment options and 23% screened positive for decisional conflict. Parents who reported being offered options experienced less decisional conflict than parents who reported not being offered options (5% vs. 42%, p < 0.001). Further, parents with options were more likely to: feel sure about the decision (RR 1.08, 95% CI 1.02-1.15); understand the information (RR 1.92, 95% CI 1.63-2.28); be clear about the risks and benefits (RR 1.12, 95% CI 1.05-1.20); and, have sufficient support and advice to make a choice (RR 1.07, 95% CI 1.03-1.11). CONCLUSION: Many parents in our sample experienced decisional conflict after their clinical consultation. Involving parents in the decision making process might reduce their risk of decisional conflict. Evidence based interventions that support parent decision making involvement, such as shared decision making, should be evaluated and implemented in pediatrics as a strategy to reduce parents' decisional conflict.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".