Counting Costs under Severe Financial Constraints: A Cost-of-Illness Analysis of Spondyloarthropathies in a Tertiary Hospital in Greece
Bibliographic record
Abstract
OBJECTIVE: To investigate the total annual direct cost of patients with spondyloarthritis (SpA) in Greece. METHODS: Retrospective study with 156 patients diagnosed and followed up in the rheumatology clinic of the University Hospital of Ioannina. Sixty-four had ankylosing spondylitis (AS) and 92 had psoriatic arthritis (PsA). Health resource use for each patient was elicited through a retrospective chart review that documented the use of monitoring visits, medications, laboratory/diagnostic tests, and inpatient stays for the previous year from the date that the review took place. Costs were calculated from a third-party payer perspective and are reported in 2014 euros. RESULTS: The mean ± SD annual direct cost for the patients with SpA reached €8680 ± 6627. For the patients with PsA and AS, the cost was estimated to be €8097 ± 6802 and €9531 ± 6322, respectively. The major cost was medication, which represented 88.9%, 88.2%, and 89.3% of the mean total direct cost for SpA, AS, and PsA, respectively. The annual amount of the scheduled tests for all patients corresponded to 7.5%, and for those performed on an emergency basis, 1.1%. Further, the cost for scheduled and emergency hospitalization, as well as the cost of scheduled visits to an outpatient clinic, corresponded to 2.5% of the mean total annual direct cost for the patients with SpA. CONCLUSION: SpA carries substantial financial cost, especially in the era of new treatment options. Adequate access and treatment for patients with SpA remains a necessity, even in times of fiscal constraint. Thus, the recommendations of the international scientific organizations should be considered when administering high-cost drugs such as biological treatments.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".