Pediatrician perspectives on barriers and facilitators to discharge instruction comprehension and adherence for parents of children with medical complexity
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".