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Record W2875128623 · doi:10.1177/2050640618787648

Understanding symptom burden and attitudes to irritable bowel syndrome with diarrhoea: Results from patient and healthcare professional surveys

2018· article· en· W2875128623 on OpenAlexaboutno aff
Hans Törnblom, Richard Goosey, Gwen Wiseman, Stephen Baker, Anton Emmanuel

Bibliographic record

VenueUnited European Gastroenterology Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsnot available
FundersAllergan
KeywordsMedicineIrritable bowel syndromeQuality of life (healthcare)Likert scaleHealth professionalsFamily medicineHealth careInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Irritable bowel syndrome with diarrhoea (IBS-D) comprises multiple troublesome symptoms and negatively impacts patients' quality of life. OBJECTIVE: The objective of this article is to assess IBS-D patient burden and patient and healthcare professional (HCP) attitudes towards IBS. METHODS: Patients and HCPs from Australia, Canada, France, Germany, Italy, Spain and the United Kingdom completed internet-based surveys via market research panels. Attitudes to IBS-D-related statements were scored using seven-point Likert scales. RESULTS: The patient survey included 513 patients (70% female, mean age 40.9 years). Faecal urgency was reported as the most troublesome symptom (27%) and fatigue occurred on the most days per month (mean: 18); 61% of patients used ≥3 types of treatment daily or intermittently; 19% used antidepressants daily. Thirty-three per cent thought HCPs should listen and provide more support and 46% reported willingness to 'try anything' to help manage their IBS-D. The HCP survey included 366 primary care physicians and 313 gastroenterologists: A total of 70% and 65%, respectively, agreed it was important that IBS-D patients feel listened to and supported; 73% agreed their main aim was to improve quality of life; ∼30% expressed frustration at managing IBS-D. CONCLUSION: IBS-D imposes a substantial burden on patients and HCPs. These findings point towards a need for improved patient-HCP communication.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.042
GPT teacher head0.262
Teacher spread0.220 · 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 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

Citations40
Published2018
Admission routes1
Has abstractyes

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