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Record W4213096438 · doi:10.1093/jcag/gwab049.161

A162 CHRONIC OPIOID THERAPY IS ASSOCIATED WITH INCREASED HEALTH SERVICES UTILIZATION AND DIRECT HEALTHCARE COSTS: A POPULATION-BASED STUDY

2022· article· en· W4213096438 on OpenAlexaffabout
M Ellen Kuenzig, Joyce Mason, Çharles N. Bernstein, Tara Gomes, David N. Juurlink, Gilaad G. Kaplan, Juan Nicolás Peña-Sánchez, Laura E. Targownik, Simone N. Vigod, Jahan Ara Begum, Zoann Nugent, Eric I. Benchimol

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsWomen's College HospitalUniversity of SaskatchewanUniversity of CalgaryUniversity of ManitobaCentre for Addiction and Mental HealthUniversity of TorontoSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineHealth careOpioidInflammatory bowel diseaseDiagnosis codePopulationPoisson regressionAmbulatory careDiseaseInternal medicineEmergency medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background Opioid use is more common among people living with Inflammatory bowel disease (IBD). Aims Investigate the associations between receiving chronic opioid therapy and health services utilization and direct healthcare costs among IBD patients receiving chronic opioid therapy. Methods We identified prevalent cases of IBD in Ontario (7/2012–3/2017) from population-based health administrative data using previously validated algorithms. Patients with ongoing opioid use for >90 days (chronic opioid recipients) were matched based on age, sex, IBD type, and disease duration with up to 5 IBD patients with no period of chronic opioid use. For the year after becoming a chronic opioid recipient (i.e., from the 91st day of chronic opioid therapy), we determined: 1) the mean (SD) number of IBD-specific, IBD-related, and all-cause outpatient visits, emergency department (ED) visits, and hospitalizations; and 2) total, hospitalization, ED, and outpatient healthcare costs. IBD-specific visits had a diagnostic code for Crohn’s disease or ulcerative colitis; IBD-related visits additionally included diagnostic codes for signs, symptoms, and extra-intestinal manifestations of IBD. Patients were censored at the time of a new cancer diagnosis or upon initiation of palliative care. We used Poisson models to compare the number of healthcare encounters in chronic opioid recipients and patients with no period of chronic opioid therapy then used generalized linear models with a gamma distribution and log-link to compare direct healthcare costs in the two groups. Regression models accounted for matching and were adjusted for income, rural/urban household, and comorbidities (resource intensity using the John Hopkins ACG Index). Results We identified 9913 IBD patients with at least one period of chronic opioid therapy matched to 44,274 without chronic opioid therapy (mean 43 y at chronic opioid use, 43% male, 58% Crohn’s). Patients receiving chronic opioid therapy had significantly more health care encounters (Figure A). Annual per capita total health care cost among chronic opioid recipients was $13,452 (SD 33,777) compared to $5140 (SD 28,999) among patients with no chronic opioid therapy (Figure B). After adjustment, healthcare costs were approximately double in chronic opioid recipients and was consistent for all cost types (overall, hospitalization, ED, and outpatient). Conclusions IBD patients who were chronic opioid users had significantly more health services utilization and direct healthcare costs compared to patients without periods of chronic opioid use. These associations persisted after adjusting for the resource intensity of any co-occurring conditions. Health services utilization (A) and direct healthcare costs (B) among people with inflammatory bowel disease (IBD) who are chronic opioid users compared to those without a period of chronic opioid use. Funding Agencies American College of Gastroenterology

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)0.000
metaresearch head score (Gemma)0.002
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 score0.270
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.335
Teacher spread0.311 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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