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Record W4385697632 · doi:10.1097/sga.0000000000000776

Older Adults With Inflammatory Bowel Disease in Canada

2023· article· en· W4385697632 on OpenAlexafffundabout
Noelle Rohatinsky, Usha Chauhan, Barbara Currie, Shelley Peacock, K Phalen-Kelly, Brooke Russell, Natasha Tooke

Bibliographic record

VenueGastroenterology Nursing · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of SaskatchewanHamilton Health SciencesNova Scotia Health AuthorityHamilton General Hospital
FundersCrohn's and Colitis Canada
KeywordsInflammatory bowel diseaseMedicineDiseaseQuality of life (healthcare)Health careCross-sectional studyFamily medicinePopulationGerontologyPatient satisfactionNursingInternal medicineEnvironmental healthPathology

Abstract

fetched live from OpenAlex

Literature exploring the health-related quality of life and care experiences of older adults with inflammatory bowel disease is limited despite the increasing prevalence in this population. The purpose of this study was to explore the perceived health-related quality of life and care experiences in older adults with inflammatory bowel disease in Canada. This study used a mixed-methods convergent design consisting of a descriptive, cross-sectional survey and qualitative descriptive interviews. Fifty-eight participants completed the survey and 24 participants completed interviews. Older adults reported satisfaction with inflammatory bowel disease-related care, high levels of disease control, moderate health-related quality of life, and low levels of patient-healthcare team interactions. Themes identified were (1) Experiences of inflammatory bowel disease in daily life; (2) Accessibility of inflammatory bowel disease-related health services; and (3) Communication and relationships to facilitate inflammatory bowel disease care. Ultimately, quality inflammatory bowel disease care for older adults is contingent upon communication between patients and providers, access to multidisciplinary clinics, and support networks. By ensuring these factors are present, providers and patients can work together collectively toward positive patient outcomes, enhanced satisfaction with care, and greater perceived quality of care.

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)0.000
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 score0.407
Threshold uncertainty score0.901

Codex and Gemma teacher scores by category

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

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 head0.003
GPT teacher head0.196
Teacher spread0.194 · 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

Citations6
Published2023
Admission routes3
Has abstractyes

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