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Record W4298078837 · doi:10.3389/frhs.2022.859008

Roadmap for Creating Effective Communication Tools to Improve Health Equity for Persons With Intellectual and Developmental Disabilities

2022· article· en· W4298078837 on OpenAlexaboutno aff
Priyanka R. Dharampuriya, Susan L. Abend

Bibliographic record

VenueFrontiers in Health Services · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsHealth equityEquity (law)Health careBusinessInformation transferHealth informationIntellectual disabilityPublic relationsInternet privacyMedicineNursingPublic healthEconomic growthComputer sciencePolitical scienceTelecommunicationsPsychiatry

Abstract

fetched live from OpenAlex

Persons with intellectual and developmental disabilities (IDD) live 20 fewer years than the average person and almost 40% of their deaths are from preventable causes. They suffer from well-documented disparities in health and healthcare, and much of this inequity is rooted in information transfer failures between patients, their caregivers, and their healthcare providers. Tools to improve communication between these stakeholders, such as health checks and hand-held health records, or health passports, have been implemented in Europe, Australia and Canada with mixed results, and there are no standard information tools currently in widespread use in the U.S. We review the evidence of the effectiveness of these tools, as well as their barriers to adoption, to inform proposed development of next-generation information transfer tools most useful to patients with IDD and their healthcare providers. The repair of health information transfer failures will be a major step toward achieving health equity for this population.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
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 head0.058
GPT teacher head0.414
Teacher spread0.356 · 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.

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

Citations10
Published2022
Admission routes1
Has abstractyes

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