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Record W4406778463 · doi:10.1111/cch.70031

Exploration of the Evidence on Discharge From Hospital to Home for Children With Medical Complexity and Their Parents: A Review of the Literature

2025· review· en· W4406778463 on OpenAlexafffund
Lyndsay Jerusha MacKay, Tammie Dewan, Jaanvi Lal, Alix Hayden, Una Chang

Bibliographic record

VenueChild Care Health and Development · 2025
Typereview
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsTrinity Western UniversityUniversity of CalgaryAlberta Children's HospitalWestern University
FundersAlberta Children's Hospital Research InstituteO'Brien Institute for Public Health, University of Calgary
KeywordsPsychological interventionHospital dischargeThematic analysisPatient dischargeTransitional carePsychologyNursingMedicineQualitative researchMEDLINEHealth careIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Children with medical complexity (CMC) require complex care that parents must independently provide and manage when discharged home from hospital. It is important that parents are adequately prepared to safely transition home from hospital with their child. METHOD: A synthesis of findings from research articles was conducted to map and summarize available evidence on CMC and their parents' experiences of discharge from hospital to home. A total of 32 studies were included in this review. Thematic analysis was used to analyze and describe the data. RESULTS: The following key themes were developed during data analysis: preparation and readiness, aids for discharge, overwhelmed with the transition, frustration with time to get home, difficulties with transitions and discharge interventions. CONCLUSION: These findings demonstrate the importance of taking steps to ensure CMC and their parents undergo a thorough and planned discharge process to prepare parents to confidently provide safe care to their children in the home. Approaches and strategies for comprehensive and safe discharge are provided.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.644
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.432
Teacher spread0.319 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2025
Admission routes2
Has abstractyes

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