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Record W2137170393 · doi:10.1002/jhm.2444

Co‐creating patient‐oriented discharge instructions with patients, caregivers, and healthcare providers

2015· article· en· W2137170393 on OpenAlex
Shoshana Hahn‐Goldberg, Karen Okrainec, Tai Huynh, Najla Zahr, Howard Abrams

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.

Bibliographic record

VenueJournal of Hospital Medicine · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineHealth careHealth literacyMultidisciplinary approachInclusion (mineral)NursingAction planHealth information technologyMedical emergencyPsychology

Abstract

fetched live from OpenAlex

For hospitalized patients, the transition from hospital to home is frequently accompanied by a significant amount of information to absorb. The objective of this work was to engage patients, caregivers, and healthcare providers in codeveloping patient-oriented discharge instructions, (ie, a brief transition plan with information that patients want). Overseen by a multidisciplinary advisory team, a participatory action approach using mixed methods was employed. Although formal inclusion and exclusion criteria were not used, deliberate efforts were made to engage groups with language barriers and limited health literacy. Symbols were designed and validated with the patient groups to represent each section of information to make the form more understandable for these patients. A prototype was codesigned using an iterative process. The form has been adapted for use in multiple health settings and is currently undergoing a multisite pilot to evaluate its effect on patient and provider experience.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.023
GPT teacher head0.372
Teacher spread0.349 · 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