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Record W4392512829 · doi:10.1002/jhm.13319

Pediatrician perspectives on barriers and facilitators to discharge instruction comprehension and adherence for parents of children with medical complexity

2024· article· en· W4392512829 on OpenAlexaboutno aff
Alexander F. Glick, H. Shonna Yin, Benjamin A. Silva, Avani C. Modi, Vincent Huynh, Emily J. Goodwin, Jonathan S. Farkas, Julia S. Turock, Hannah Famiglietti, Victoria Vaughan Dickson

Bibliographic record

VenueJournal of Hospital Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNYU Grossman School of MedicineNational Institutes of Health
KeywordsComprehensionMedicineNonprobability samplingHealth literacyNursingQualitative researchHealth careFamily medicineIntervention (counseling)Medical education

Abstract

fetched live from OpenAlex

BACKGROUND: High rates of posthospitalization errors are observed in children with medical complexity (CMC). Poor parent comprehension of and adherence to complex discharge instructions can contribute to errors. Pediatrician views on common barriers and facilitators to parent comprehension and adherence are understudied. OBJECTIVE: To examine pediatrician perspectives on barriers and facilitators experienced by parents in comprehension of and adherence to inpatient discharge instructions for CMC. DESIGN, SETTINGS, AND PARTICIPANTS: We conducted a qualitative, descriptive study of attending pediatricians (n = 20) caring for CMC in inpatient settings (United States and Canada) and belonging to listservs for pediatric hospitalists/complex care providers. We used purposive/maximum variation sampling to ensure heterogeneity (e.g., hospital, region). MAIN OUTCOME AND MEASURES: A multidisciplinary team designed and piloted a semistructured interview guide with pediatricians who care for CMC. Team members conducted semistructured interviews via phone or video call. Interviews were audiorecorded and transcribed. We analyzed transcripts using content analysis; codes were derived a priori from a conceptual framework (based on the Pediatric Self-Management Model) and a preliminary transcript analysis. We applied codes and identified emerging themes. RESULTS: Pediatricians identified three themes as barriers and facilitators to discharge instruction comprehension and adherence: (1) regimen complexity, (2) access to the healthcare team (e.g., inpatient team, outpatient pediatrician, home nursing) and resources (e.g., medications, medical equipment), and (3) need for a family centered and health literacy-informed approach to discharge planning and education. Next steps include the assessment of parent perspectives on barriers and facilitators to discharge instruction comprehension and adherence for prents of CMC and the development of intervention strategies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.296

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.292
Teacher spread0.278 · 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 designObservational
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

Citations8
Published2024
Admission routes1
Has abstractyes

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