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Record W6889219774 · doi:10.25384/sage.c.5909865

Mobilizing Forward: An Interpretive Description of Supporting Successful Neonatal Intensive Care Unit-To-Home Transitions for Adolescent Parents

2022· other· en· W6889219774 on OpenAlexaff

Bibliographic record

VenueSage Journals Data · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiopsychosocial modelNeonatal intensive care unitIntensive careQualitative researchTransitional careProcess (computing)

Abstract

fetched live from OpenAlex

Pregnancy and parenting in adolescence and the transition home following the hospitalization of an infant in the neonatal intensive care unit (NICU) are two relatively complex phenomena; and whilst each have been consistently explored within the relevant literature, little is understood about the care required when they intersect. Using interpretive description methodology to guide our exploration, we conducted semi-structured interviews with 23 expert providers caring for adolescent parents involved in NICU-to-home transitions to describe this process in their practice. Findings suggest that supporting successful NICU-to-home transitions for adolescent parents relied strongly on understanding the impact of the NICU experience, establishing therapeutic relationships and facilitating supportive partnerships between the NICU and parents as well as the NICU and supportive services post-discharge. Findings highlight the opportunity for more integrated models of care within the NICU and extending into the community to address the complex biopsychosocial care needs of this parent population.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.070
GPT teacher head0.362
Teacher spread0.291 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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Same venueSage Journals DataFrench-language works237,207