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Record W4200548013 · doi:10.1093/pch/pxab061.096

119 Communicating Sensitive Information - An Exploration of Parental Perspectives on Prognostication of High Risk Infants

2021· article· en· W4200548013 on OpenAlexaff
Emily Fong, Ronit Mesterman

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWorryNeurocognitivePhoneMedicineDevelopmental psychologyFocus groupPsychologyPediatricsPerceptionAffect (linguistics)PsychiatryCognitionAnxiety

Abstract

fetched live from OpenAlex

Abstract Primary Subject area Neonatal-Perinatal Medicine 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 perceptions 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, two with both biological parents, and one with the biological father. The average length of the interviews was 30 minutes. The main themes that recurred in the interviews included 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.007
Scholarly communication0.0060.004
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.041
GPT teacher head0.369
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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