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Pediatricians Overestimate Importance of Physical Symptoms Upon Children’s Health Concerns

2002· article· en· W2079785626 on OpenAlexaff
Hester J. van der Zaag–Loonen, Bert Derkx, Anne M. Griffiths

Bibliographic record

VenueMedical Care · 2002
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineFamily medicineDiseasePsychiatryPediatrics

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the importance of issues of concern ranked by physicians and children with inflammatory bowel disease (IBD). MATERIALS AND METHODS: An item list consisting of 96 items-of-concern, identified by individual interviews and focus group sessions with 81 children with IBD, was administered to a second group of children with IBD (n = 117) asking them to rate the importance of each item to their lives on a 7-point scale. Twenty-one pediatric gastroenterologists experienced with treating children with IBD were asked to mark on the same questionnaire how important they thought each item was to their patients. RESULTS: Of the top 10 most important items identified by children with IBD only two were ranked in the top 10 by physicians. Most striking was the item: "having to take medication," which was scored number 3 by the children and did not appear in the top 50 of physicians. Physicians significantly overestimated the importance of four IBD symptoms (bothered by diarrhea, embarrassed by bad odor, worried about having accident in pants, and worries about passing gas) whereas they underestimated the importance of three other items (bothered by having to take medicines, worries about future health problems, and worries about weight). CONCLUSIONS: Physicians' views of what issues and concerns are most important to children with IBD differ from those stated by the children themselves. Physicians overestimate the importance of physical symptoms. Children should be included in the development phase of instruments assessing health perceptions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.332
Teacher spread0.310 · 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 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

Citations35
Published2002
Admission routes1
Has abstractyes

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