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Record W4391886463 · doi:10.1093/jcag/gwad061.117

A117 WORK PRODUCTIVITY IMPAIRMENT IN PERSONS WITH INFLAMMATORY BOWEL DISEASES: A SYSTEMATIC REVIEW AND META-ANALYSIS

2024· review· en· W4391886463 on OpenAlexaff
Michael Youssef, Nariman Hossein‐Javaheri, Teuta Hoxha, C Mallouk, Parul Tandon

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity Health NetworkUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsMeta-analysisWork productivityProductivityInflammatory Bowel DiseasesInflammatory bowel diseaseMedicineWork (physics)Internal medicineEngineeringEconomicsDiseaseMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel diseases (IBD), which include Crohn’s disease (CD) and ulcerative colitis (UC), are chronic disorders that affect approximately 6.8 million people globally. IBD often develops at an early age and can have a significant impact on employment outcomes and work productivity. Individuals with IBD have higher rates of unemployment, sick leave, and work disability compared to the general population. Nevertheless, there remains a paucity of standardized reporting on work productivity impairment and the associated indirect costs in patients with IBD. Aims In this systematic review and meta-analysis, we evaluate work-related outcomes and employment data among patients with IBD. This may inform clinical and policy decisions to facilitate workplace accomodations for patients with IBD and improve their work productivity. Methods A systematic literature search was conducted in MEDLINE, EMBASE, and the Cochrane library, in addition to Scopus, ProQuest, and clinicaltrials.gov from inception to February 2023. We included full-texts and abstracts of observational and clinical trials that reported work-related outcomes in patients with IBD aged ampersand:003E18 years. We collected work-related data as described by the Work Productivity and Activity Impairment (WPAI) tool, in addition to other outcomes including employment, sick leaves, disability pensions, and indirect costs due to productivity loss. Pooled effect analysis was conducted using a random-effects model for pooled estimates of continuous and proportional data with 95% confidence intervals (CIs). Odds ratios (ORs) and mean differences were used to compare data between patients with active disease vs. remission. Results We included 134 studies (96 full-text articles and 38 abstracts). Among all patients with IBD, the pooled estimates were 16.41% [13.89-18.93] for absenteeism, 35.91% [31.11-40.72] for presenteeism, 39.41% [33.93-44.88] for overall productivity loss, and 45.96% [39.46-52.46] for non-work related activity impairment. Indirect costs were estimated at 1,813.9, 3,562.49, and 5,131.09 euros/patient/year for absenteeism, presenteeism, and overall work impairment respectively. For other non-WPAI outcomes, the pooled estimate for employment was 65.6%, 39.5% of patients reported sick days, 21.3% reported disability at work due to IBD directly, 12.3% received disability pensions, and 29.6% had lost jobs due to IBD. Overall, patients with active disease had worse WPAI and employment outcomes than those in remission. Conclusions IBD may result in significant work productivity impairment, lower employment, and significant indirect costs due to productivity loss. Larger studies with standardized definitions for work outcomes are needed to better evaluate the impact of IBD on work productivity. Funding Agencies Mount Sinai Resident Research Funding

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)0.012
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.029
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.045
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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