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Record W2027841069 · doi:10.1002/ibd.21363

Information needs and preferences of recently diagnosed patients with inflammatory bowel disease

2010· article· en· W2027841069 on OpenAlexafffund
K Bernstein, Stephen Promislow, Rachel Carr, Patricia Rawsthorne, John R. Walker, Çharles N. Bernstein

Bibliographic record

VenueInflammatory Bowel Diseases · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsUniversity of Manitoba
FundersAbbott Canada
KeywordsMedicineInflammatory bowel diseaseDiseaseMedical informationInformation needsUlcerative colitisFeelingFamily medicineInternal medicineWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this study was to assess the information needs and experiences of patients who were recently diagnosed with inflammatory bowel disease (IBD). METHODS: Seventy-four patients, diagnosed with Crohn's disease or ulcerative colitis, 3-24 months previously were recruited from gastroenterology practices and completed the information needs survey. RESULTS: The most frequent sources of information in the first 2 months after diagnosis were the gastroenterologist and the Internet. In all, 24% of patients reported feeling dissatisfied with the information they were given at the time of their diagnosis, 31% were moderately satisfied, and 45% were very satisfied. There were many areas of information about the disease, its treatment, and self management that patients considered to be important and received little or no information about. When patients described how they would prefer to receive information if they were considering a new treatment in the future, 68% indicated that they preferred information from a medical specialist. CONCLUSIONS: Given the large number of topics judged by patients to be important and the complexity of the information required, it would be very difficult to communicate this information in oral discussion during typical consultation visits. Supplementing physician-patient consultations with well-designed written information or a Website recommendation may produce more effective communication and education. Patients rated these sources of information as having a high level of acceptability.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.951

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 studies0.0010.000
Scholarly communication0.0000.005
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 head0.013
GPT teacher head0.309
Teacher spread0.295 · 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 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

Citations136
Published2010
Admission routes2
Has abstractyes

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