Impact of upper and lower gastrointestinal blood loss on healthcare utilization and costs: a systematic review
Bibliographic record
Abstract
OBJECTIVES: Gastrointestinal (GI) blood loss is a common medical condition which can have serious morbidity and mortality consequences and may pose an enormous burden on healthcare utilization. The purpose of this study was to conduct a systematic review to evaluate the impact of upper and lower GI blood loss on healthcare utilization and costs. METHODS: We performed a systematic search of peer-reviewed English articles from MEDLINE published between 1990 and 2010. Articles were limited to studies with patients ≥18 years of age, non-pregnant women, and individuals without anemia of chronic disease, renal disease, cancer, congestive heart failure, HIV, iron-deficiency anemia or blood loss due to trauma or surgery. Two reviewers independently assessed abstract and article relevance. RESULTS: Eight retrospective articles were included which used medical records or claims data. Studies analyzed resource utilization related to medical care although none of the studies assessed indirect resource use or costs. All but one study limited assessment of healthcare utilization to hospital use. The mean cost/hospital admission for upper GI blood loss was reported to be in the range $3180-8990 in the US, $2500-3000 in Canada and, in the Netherlands, the mean hospital cost/per blood loss event was €11,900 for a bleeding ulcer and €26,000 for a bleeding and perforated ulcer. Mean cost/ hospital admission for lower GI blood loss was $4800 in Canada, and $40,456 for small bowel bleeding in the US. CONCLUSIONS: Our findings suggest that the impact of GI blood loss on healthcare costs is substantial but studies are limited. Additional investigations are needed which examine both direct and indirect costs as well as healthcare costs by source of GI blood loss focusing on specific populations in order to target treatment pathways for patients with GI blood loss.
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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 | 0.008 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.011 | 0.015 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".