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Record W1988851485 · doi:10.1207/s15327027hc1702_5

Hope, Disclosure, and Control in the Neonatal Intensive Care Unit

2005· article· en· W1988851485 on OpenAlexafffund
Margo Charchuk, Christy Simpson

Bibliographic record

VenueHealth Communication · 2005
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsUniversity of Alberta
FundersKillam TrustsHope Foundation
KeywordsNeonatal intensive care unitControl (management)NursingCritically illMedicineFace (sociological concept)Intensive careUnit (ring theory)PsychologyHealth careSense of controlIntensive care medicinePsychiatrySocial psychologySociology

Abstract

fetched live from OpenAlex

The parents of critically ill newborns who have been admitted to a neonatal intensive care unit (NICU) generally face several challenges. Included in these challenges is the possibility of having access to information and a certain level of disclosure about the diagnosis, treatment options, and prognosis for their newborn. A related challenge is the ability to have some control over the care of their newborn. In this article, I (first author) share my own experiences of having a child admitted to an NICU, and I discuss how a lack of disclosure affected the decision making and involvement I had in my child's care and hindered my ability to find hope. A loss of hope can both contribute to a sense of powerlessness and exacerbate the negative aspects of these NICU experiences. I argue that when health care providers offer parents the disclosure they want and need, as well as a certain amount of control over the care of their child while in the NICU, the ability of parents to find hope will be increased, and they will be better able to cope successfully in the NICU environment.

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)0.009
metaresearch head score (Gemma)0.028
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 score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.012
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.401
Teacher spread0.350 · 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

Citations35
Published2005
Admission routes2
Has abstractyes

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