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Record W2803980386 · doi:10.1093/pch/pxy054.077

IMPROVING TRANSITIONS IN CARE FOR CHILDREN WITH COMPLEX CARE NEEDS IN NOVA SCOTIA

2018· article· en· W2803980386 on OpenAlexaffabout
Janet Curran, Jocelyn Vine, Sydney Breneol

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsNova scotiaAuditStakeholderPopulationNursingInclusion (mineral)DocumentationHealth careNeeds assessmentResource (disambiguation)Multidisciplinary approachMedicinePsychologyFamily medicineBusinessPublic relationsGeographyPolitical scienceComputer scienceEnvironmental health

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Children with complex care needs are a small yet resource intensive population in Canada. At present, there is wide variation in the way in which this population is characterized in the clinical and research literature. Transitions from hospital to home for these children can be complicated by variation in available services and resources in their home community; complex technological logistics; and a sharp disjuncture between discharge instructions provided to families and implementation in their home communities. OBJECTIVES Develop policy recommendations for inclusion in a Nova Scotia strategy to support transitions in care for these children with medical complexity. DESIGN/METHODS We used a mixed method design. During phase 1 we developed six cases representing children with different levels of complexity. Cases were informed by parent and provider interviews at 4 time points, chart audits and validated measures of caregiver distress. In phase 2, we conducted key stakeholder interviews across Nova Scotia to identify barriers and facilitators to successful transitions in care. A multi-sector consensus meeting was held during phase 3 to discuss study findings and refine key recommendations for inclusion in a Nova Scotia strategy. RESULTS Six cases included children aged 15 days to 9 years old who were followed by as many as seven services and lived 50–300 km from IWK Health Centre. Key stakeholder interviews were conducted with 4 nurses, 4 physicians, and 1 administrator from 5 communities across Nova Scotia. A range of inter-institutional communication challenges and limited educational resources were identified as a key barrier. Participants identified the need for a nurse-coordinator role to act as a resource for both families and health providers in the community. A half-day consensus meeting 20 stakeholders from different health and government sectors was held. Proposed policy recommendations included: (1) consistent, timely, and discharge planning, (2) a comprehensive repository of resources for health care providers and families, (3) educational outreach strategy to build capacity for providers and families, (4) a nurse-coordinator role in each health zone to act a liaison and resource for health care providers and families, (5) work with existing provincial programs and services to develop policies and tools that are unique to a paediatric population, (6) adopt an established definitional framework for Children with Medical Complexity. CONCLUSION Our collaborative patient-centred approach to understanding how children with complex care needs currently navigate transitions in care in Nova Scotia provided a foundation for developing recommendations for a provincial strategy.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.000
Open science0.0010.004
Research integrity0.0000.001
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 head0.030
GPT teacher head0.349
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 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
Published2018
Admission routes2
Has abstractyes

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