Drug utilization and cost associated with inflammatory bowel disease management in Saudi Arabia
Bibliographic record
Abstract
Abstract Background There has been an increase in incidence and prevalence of inflammatory bowel disease (IBD) outside the western countries. Treatment costs are an essential component for healthcare planning and priority setting. The utilization patterns and annual administration and cost of IBD medications are largely unknown in countries with an increasing incidence of disease, Saudi Arabia being an example. Aim To evaluate the use of non-biologic and biologic agents and their associated annual administration costs in a sample of patients with Crohn’s disease (CD) and ulcerative colitis (UC) in Saudi Arabia. Methods Single-center retrospective chart review was performed to determine the use of biologic and non-biologic medications among IBD patients in a tertiary care hospital in Riyadh, Saudi Arabia. Daily and the annual acquisition cost of different IBD therapeutic agents was calculated. The utilization rates and cost of each type of medication by CD and UC patients were compared. Results Data of 258 CD patients and 249 UC patients were analyzed. Infliximab and adalimumab were the most commonly prescribed biologics among the study sample, however, their utilization rates were significantly higher among CD than UC patients (36.82% vs. 11.24%, and 20.54% vs. 9.64%, respectively, P < 0. 01). Azathioprine utilization rate was also higher among CD patients compared to their UC counterparts (71.71% vs. 40.16%, respectively, P < 0.01). However, the utilization rate of mesalazine in the UC patients was significantly higher than their CD counterparts (85.53% vs. 14.34% for CD, P < 0.01). The annual cost of biologics (including administration and lab test cost) ranged from 5572 USD for ustekinumab to 18,424 USD for vedolizumab. On the other hand, the annual cost of non-biologics ranged from 16 USD for prednisone to 527 USD for methotrexate. Conclusion Biologics are extensively used in the management of IBD, particularly CD, and their utilization costs are significantly higher than non-biologics. Future studies should examine the cost effectiveness of IBD medications especially in countries with increasing incidence such as Saudi Arabia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".