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P050 Work Disability, Indirect Costs and Risk Factors in Patients With Crohn’s Disease in a Rio De Janeiro Tertiary Care Center

2020· article· en· W3111990686 on OpenAlexaboutno aff
Fróes Renata, Moreira Andre, Carneiro Antônio José, M. Herrera Jessica, Luiz Ronir, Moreira Adriana, Monnerat Camila, Heitor de Souza, Pugas de Carvalho Ana

Bibliographic record

VenueThe American Journal of Gastroenterology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiseaseReferralCrohn's diseaseSocial securityIndirect costsDemographyIncidence (geometry)Disability pensionMedical historyYoung adultRisk factorGerontologyEnvironmental healthSurgeryFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Crohn's disease (CD) is considered one of the most expensive disorders in Europe and the prevalence and incidence of CD is increasing in Brazil in the last decades. During flares, CD can lead to the inability to work with social and economic impact. This study aimed to assess the indirect costs, prevalence and risk factors for work disability in the state of Rio de Janeiro (RJ) and in a tertiary care referral center of the state (UERJ). METHODS: Analysis was performed using the database of the Single System of Social Security Benefits Information (SUIBE), with a crosscheck for aid pension and disability retirement from 2010 to 2018 in RJ state. Demographic characteristics included sex, age, work status, geographic region, days off work, average monthly benefit, and ICD-10 K50 with all subdivisions. A sub-analysis was performed on CD patients from UERJ during the same study period using prospectively collected data from the database, analyzed retrospectively to investigate potential risk factors associated with absence from work among CD patients. Additional demographic and clinical characteristics including sex, age, disease duration, disease location, predominant disease phenotype, perianal disease, extraintestinal manifestations, smoking history, prior medications (steroids, immunosuppressants and biologics), duration of biologic use, history of abdominal surgery (defined as the need for bowel resection), prior spontaneous abdominal abscess, previous appendectomy, and Montreal classification were analyzed. RESULTS: In RJ state, the estimated prevalence of CD was 26.05 per 100,000 inhabitants, while the associated work disability was 16.6%, with indirect costs (focusing on losses related to employment) of US$ 8,562,195.86. Permanent disability occurred more frequently in CD patients aged 40 to 49 years. In UERJ, the prevalence of work disability was 16.7% and the risk factors for absence from work were predominantly disease duration, the A2 profile of the Montreal classification, abdominal surgery and rectovaginal fistulas. Mood disorders were observed in 19% of these UERJ patients, with a mean interval of 3 years between diagnosis of CD and the first benefit. CONCLUSION: The prevalence of work disability in UERJ CD patients is similar to RJ state and may reflect other regions from Brazil. The risk factors are associated with disease duration and complications of disability. The prevalence of psychiatric manifestations has called attention to potentially neglected aspects of CD, and the need to incorporate specialized multidisciplinary care. Rehabilitation programs are still deficient in the country. The increase in the prevalence of CD in Brazil and the resultant socioeconomic impact of a chronic disease affecting relatively young patients, emphasizes the importance of providing quality medical care in order to mitigate the burden of CD. Early diagnosis and full medical therapy might prevent most of the complications that lead to repeat hospitalizations and surgical interventions and the consequent incremental direct and indirect costs associated with CD.

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 score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.201
Teacher spread0.198 · 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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Citations1
Published2020
Admission routes1
Has abstractyes

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