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Record W2763880425 · doi:10.1093/pch/19.6.e35-57

58: Delivering Palliative Care in a Neonatal Intensive Care Unit

2014· article· en· W2763880425 on OpenAlexaffabout
Kumar Kumaran, Amber Reichert, Dawn Davies, M Ellinger, Laurie J. Conway, Maria Mayan, Tatjana Alvadj‐Korenic

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPalliative careNeonatal intensive care unitMedicineNursingIntensive careHealth careQualitative researchFamily medicineIntensive care medicinePediatrics

Abstract

fetched live from OpenAlex

The World Health Organization defines paediatric palliative care as holistic care for mind, body and spirit of the child with life threatening/life limiting conditions and his/her family. Neonatal palliative care is increasingly recognized as an important aspect of the care of critically ill neonates, especially with increasing survival of extremely premature infants with complex medical issues. However, neonatal palliative care is not being implemented in a comprehensive manner in many neonatal units across North America. The aim of the study is to explore the concept of ‘neonatal palliative care’ as understood by parents and health care professionals in the neonatal intensive care unit (NICU) setting in Edmonton, Alberta. The secondary aim is to identify the factors that either enable or impede delivery of palliative care to these infants and their families. Four focus groups composed of NICU nurses/nurse practitioners, neonatologists and parents whose critically ill infants had received care in the NICU were conducted. Data from the focus groups were analysed using qualitative content analysis. Anticipated death of a critically ill infant is a tragic, traumatic and paradoxical event, primarily for the families, but also for the health care professionals involved in providing treatment and care. The parents, while acknowledging the high quality of care delivered, expressed a need for consistent care and support as well as respect for the role of parents in the decision-making process. The nurses emphasized the need for better communication, support to families and nurses and early identification of the need for palliative care. The physicians acknowledged the lack of specific training they had in effective delivery of palliative care, and ambiguity as to how this should be delivered. Most saw this as part of their own role. Lack of suitable private space for palliative care, absence of a written policy and limited resources were expressed as obstacles, while the quality of care and a family-focused approach were acknowledged as facilitators in the process of delivering palliative care. The need for an on-going education in palliative care and creating a multi-disciplinary team support was emphasized by health care professionals. Delivering Neonatal palliative care is a complex multidisciplinary process that is resource intensive requiring specialised skill sets. Various factors that would enable or impede effective palliative care delivery were identified. The need for developing a broader, integrated and flexible model of palliative care that includes prenatal and post bereavement care was underlined.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.330
Teacher spread0.301 · 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 designNot applicable
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
Published2014
Admission routes2
Has abstractyes

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