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Record W4241525895 · doi:10.1093/ibd/izy393.010

P007 GAPS IN COMMUNICATION BETWEEN PATIENTS WITH ULCERATIVE COLITIS AND HEALTHCARE PROVIDERS: RESULTS OF A GLOBAL ULCERATIVE COLITIS NARRATIVE SURVEY

2019· article· en· W4241525895 on OpenAlexaboutno aff
David T. Rubin, Ailsa Hart, Cem Kayhan, Michele Rubin, Marla C. Dubinsky, Laurie Keefer, Gil Melmed, Jean‐Frédéric Colombel, Stefan Schreiber

Bibliographic record

VenueInflammatory Bowel Diseases · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUlcerative colitisMedical prescriptionInternal medicineSpecialtyColectomyFamily medicineHealth careDisease

Abstract

fetched live from OpenAlex

The Ulcerative Colitis (UC) Narrative is a global survey of patients (pts) and gastroenterology physicians (GIs) aimed at identifying the impact of UC and comparing and contrasting perceptions of UC burden and management approaches. Here, we present data from 2100 pts and 1254 GIs in Australia, Canada, Finland, France, Germany, Italy, Japan, Spain, the UK, and the USA. Surveys were conducted online and by phone by The Harris Poll between August 2017 and February 2018. Eligible adult pts with UC (confirmed by endoscopy) were those who had visited a GI in the previous 12 months and had ever received prescription medication. Self-reported medication history was used as a proxy for disease severity, with pts with moderate to severe UC defined as pts who had ever taken immunosuppressants, tumor necrosis factor inhibitors, other biologics, or corticosteroids for >4 of the past 12 months. Pts who had only ever taken 5-aminosalicylates or had a colectomy were excluded. Eligible GIs were those who saw ≥10 UC pts each month (≥5 in Japan), of whom ≥10% were taking a biologic and did not practice in a long-term care facility or hospice. Data are presented from all respondents who consented and completed the survey. The UC pt sample was 53% male, and 82% (n=1731) had moderate to severe UC; 67% (n=1415) described their UC to be controlled with few to no symptoms. Pt characteristics are summarized in the Table. GIs had been in specialty practice for a mean of 16.4 (standard deviation 8.35) years and saw a mean of 40 pts with UC each month. Overall, only 30% of pts were very satisfied with their current treatment, in comparison to GIs’ mean estimation of 43% of pts to be somewhat satisfied. In total, approximately three-quarters of pts (76%) wished they had more medication choices to treat their UC. Approximately half of pts (54%) wished that their GI had discussed all available treatment options with them earlier so they had a better idea of their choices, and 74% of GIs wished that they had more time to do so. The top two indicators for considering changing medications were similar for pts and GIs: continued flares (45% of pts; 60% of GIs) and continued symptoms (34% of pts; 53% of GIs). In this global survey, most pts were not very satisfied with their current treatment, and expressed a desire for greater medication choices. Pts and GIs were in agreement regarding the symptoms leading to the consideration of changes in medication, suggesting that these symptoms are central to optimizing UC management. These findings suggest that time should be allowed to discuss UC treatment options earlier during the course of disease in order to improve the experience of both pts and GIs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.009
GPT teacher head0.255
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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