21 Communicating Sensitive Information - An Exploration of Parental Perspectives on Prognostication of High Risk Infants
Bibliographic record
Abstract
Abstract Background Preterm infants are at high risk of experiencing a range of impairments that may contribute to long-term challenges such as neurocognitive deficits. Physicians are often expected to give an outlook on future developmental outcomes of high risk infants, often before sufficient time has elapsed to observe whether that particular child will demonstrate neurologic recovery from the initial injury. Clinicians often struggle with communicating this information, especially a poor prognosis because of the worry about how these conversations affect families and their future expectations of the child. Objectives Our aim was to capture parents’ retrospective perception of how their infant’s prognosis was communicated to them during their NICU stay. Design/Methods Semi-structured interviews were conducted over the phone with parents of former preterm infants with a birthweight below 1500 grams or parents of term infants who have sustained HIE requiring cooling. Parents were invited to participate when their child was between 12-36 months old at the time of the interview, so that parents would be able to have a sense of their child’s development and possible impairments. The data was analyzed thematically, with particular focus around the discourse of communication and prognostication. Results Twenty-three interviews were conducted, 20 with the biological mother, 2 with both biological parents, and 1 with the biological father. The average length of the interviews was 30 minutes. The main themes that recurred in the interviews include parental loss of control, needing to prepare for the unexpected, the value of shared decision making between the health care practitioners and parents, recognition and conveyance of uncertainty by the physician, and the importance of celebrating the present. Above all, a recurring theme mentioned by the majority of interviewees was the power of hope. While wanting to receive transparent and honest updates, parents felt strongly that giving them realistic hope was of utmost importance. Conclusion Although clinicians often feel pressured to deliver answers, parents found it helpful when clinicians acknowledged and explained the uncertainty that surrounds prognostication. While healthcare providers may feel the need to prepare parents for the worst, the importance of balancing this information with hope and positivity is what families remember and value years after the prognosis was given.
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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 | 0.021 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".