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Record W4404126540 · doi:10.1016/j.ienj.2024.101532

Children with medical complexity in the emergency department: Parent experiences and information needs

2024· article· en· W4404126540 on OpenAlex
Danielle Lysak, Samina Ali, Susan Neufeld, Shannon D. Scott

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Emergency Nursing · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Alberta
FundersFaculty of Graduate Studies and Research, University of Alberta
KeywordsEmergency departmentEmergency nursingMedical emergencyMedical informationPsychologyMedicineNursingFamily medicine

Abstract

fetched live from OpenAlex

• Children with medical complexity (CMC) have a unique experience accessing emergency department (ED) care. • Parents of CMC are key care coordinators that cooperate with their child’s care team and pediatrician to mitigate ED visits. • Parents of CMC identify challenges in communicating their child’s extensive health history in ED settings. • Emergency Information Forms (EIFs) are an underutilized tool to share info between parents and health care providers. Children with complex medical needs constitute a growing number of pediatric patients that utilize the emergency department, disproportionately more than children outside of this category. Our objective for this qualitative study was to explore information needs and experiences of parents accessing emergency health care for their child with medical complexity. Qualitative description guided this study. Parent participants were recruited via purposive sampling and individually interviewed within a pediatric specialty clinic at a Canadian pediatric tertiary care center. Inductive content analysis organized interview data from parents. Nine, 60–90 min individual interviews were conducted with parents of a child with medical complexity; four content categories emerged: How the emergency department is different for children with medical complexity, parents as key care coordinators, emergency department experience and resilience, and communication and learning preferences. These families openly shared their experience with pediatric emergency care. Strategies to support transfer of pertinent health information for children with complex medical needs are needed in the emergency department. Interviews with parents of children with complex medical needs provided key insights to inform and improve the care provided in the emergency department for this growing population of children.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.063
GPT teacher head0.329
Teacher spread0.267 · 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