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Record W4417123394 · doi:10.1177/23743735251406346

Patient and Family Experiences and Support Needs in Pediatric Oral Immunotherapy Decision Making: A Multi-Stakeholder Qualitative Study in Japan

2025· article· en· W4417123394 on OpenAlexaboutno aff
Junko Hayama, Kanako Yamamoto, Kota Hirai, Koichi Yamaguchi, Hiroyuki Mochizuki, Kazuhiro Nakayama

Bibliographic record

VenueJournal of Patient Experience · 2025
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsnot available
FundersJapan Society for the Promotion of Science
KeywordsQualitative researchSociocultural evolutionContext (archaeology)Grounded theoryConceptual frameworkCultural diversityHealth careCultural competenceQuality (philosophy)Emotional support

Abstract

fetched live from OpenAlex

Oral immunotherapy (OIT) is an emerging treatment for pediatric food allergies; however, decision support strategies in Japan remain underdeveloped and culturally nuanced. This qualitative descriptive study explored the OIT decision-making experiences and support needs of children, their parents, and healthcare professionals. Fourteen participants were recruited from 2 tertiary medical centers in Tokyo and Kanagawa. Individual semi-structured interviews were conducted and thematically analyzed. Three core themes emerged: navigating complex choices by balancing safety, burden, and values; centering on the child's voice through participation, emotional awareness, and autonomy; and bridging gaps in informational, emotional, and peer support to enable shared decision making (SDM). A conceptual model grounded in the Ottawa Decision Support Framework and the Japanese cultural context illustrates how stakeholder-specific needs interact to shape the quality of decisions. This study highlights the rarely examined intersection of pediatric autonomy, clinical uncertainty, and sociocultural context. These findings underscore the need for culturally responsive and child-inclusive SDM strategies and tailored decision aids to support families navigating pediatric OIT.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.068
GPT teacher head0.408
Teacher spread0.339 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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