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Record W2586506770 · doi:10.1093/ecco-jcc/jjx002.366

P241 Defining patient-centered outcomes for IBD – an international, cross-disciplinary consensus

2017· article· en· W2586506770 on OpenAlexaff
A. Kim, Charles Roberts, Brian G. Feagan, Rupa Banerjee, Willem A. Bemelman, Keith Bodger, Marc Derieppe, Axel Dignaß, Richard Driscoll, Ray Fitzpatrick, Peter Higgins, Paulo Gustavo Kotze, Jillian Meissner, M. O'Connor, Zhi Hua Ran, Corey A. Siegel, Helen Terry, Welmoed K. van Deen, C. Janneke van der Woude, A. Weaver, S K Yang, Bruce E. Sands, Séverine Vermeire, Simon Travis

Bibliographic record

VenueJournal of Crohn s and Colitis · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsWestern University
Fundersnot available
KeywordsPromMedicineHealth careOutcomes researchDelphi methodQuality of life (healthcare)Family medicineMEDLINEMultidisciplinary approachPatient-reported outcomeAlternative medicineNursing

Abstract

fetched live from OpenAlex

Background: Value-based healthcare aims to achieve the best possible health outcomes for the lowest cost. Key to its success involves measuring outcomes that matter most to patients. Currently for inflammatory bowel disease (IBD), registries and clinical trials lack a unifying set of well-defined outcomes, making comparisons between populations difficult. Our goal was to develop a minimum Standard Set of patient-centered outcomes for IBD to provide a common language for outcomes that can be tracked systematically in a variety of healthcare settings. Methods: An international, multidisciplinary working group (n=25) from 12 countries within Europe, North America, Asia, Australia, and South America representing patients, gastroenterologists, surgeons, specialist nurses, IBD registries, patient-reported outcome measure (PROM) methodologists, and patient organisations participated in a series of teleconferences incorporating a modified Delphi process. Systematic review of existing literature, registry data, patient focus groups and open review periods were used to reach consensus on a minimum set of standard outcome measures, the best validated tools for measurement and baseline risk-adjustment variables. Results: A minimum Standard Set of outcomes (Figure 1), preferred tools and measurement frequency was defined by the Working Group for patients (aged ≥16) with IBD. Outcome domains included patient reported outcomes (including quality of life, symptom score, nutritional status and impact of fistulae); survival and disease control (survival, disease activity/remission, colorectal cancer, and anaemia); disutility of care (treatment-related complications); and healthcare utilisation (IBD-related admissions and emergency room visits), all measured at baseline and 6 or 12 month intervals. A single, accessible PROM (IBD-Control questionnaire) was recommended. A core set of patients' baseline characteristics including demographics, baseline clinical and condition factors, and treatment factors were further defined for collection at baseline and tracking annually to enable meaningful comparisons of outcomes between centres, regions, or countries. Figure 1. ICHOM standard set for inflammatory bowel disease. Conclusions: An international, multidisciplinary IBD Working Group that included patients has defined a minimum set of patient-centred outcomes, tools and PROMs for collection in patients with IBD based on evidence, patient input, and specialist consensus. The Standard Set provides a template for meaningful, comparable and easy-to-interpret measures as a step towards achieving value-based healthcare in IBD.

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)0.239
metaresearch head score (Gemma)0.260
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.761
Threshold uncertainty score0.938

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2390.260
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0090.007
Science and technology studies0.0040.009
Scholarly communication0.0120.014
Open science0.0100.019
Research integrity0.0100.019
Insufficient payload (model declined to judge)0.0040.002

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 head0.145
GPT teacher head0.485
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
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

Citations1
Published2017
Admission routes1
Has abstractyes

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