Healthcare Resource Use and Costs of Allogeneic Hematopoietic Stem Cell Transplantation Complications: A Scoping Review
Bibliographic record
Abstract
Allogeneic hematopoietic stem cell transplant (allo-HSCT) is an expensive and resource intensive procedure. This study aims to review the literature pertaining to healthcare resource utilization (HRU) and costs associated with allo-HSCT complications. The review followed the Joanna Briggs Institute methodology for scoping reviews. The PubMed, EMBASE, and Health Business Elite were searched in addition to the grey literature. Eligibility criteria included studies that reported HRU and/or costs associated with adult (≥18 years) allo-HSCT. Studies were categorized according to complications of allo-HSCT including graft-versus-host disease (acute and chronic GVHD) and infections (fungal, cytomegalovirus, virus-associated hemorrhagic cystitis, and acute respiratory tract infection). Commonly reported HRU and cost measures were extracted, including those associated with the direct management of allo-HSCT complications and intensive care unit (ICU) admissions. Reported costs were standardized to 2022 United States Dollars. Patients who experienced GVHD or infection post-transplant had an overall greater HRU including higher rates of hospitalization, hospital readmission, ICU admission, and longer length of stay compared to those patients who did not. Patients with severe or refractory GVHD and/or infection following allo-HSCT required greater healthcare intervention. This scoping review synthesizes the current literature on HRU and costs associated with post allo-HSCT complications. Patients who experienced post allo-HSCT complications had higher HRU and incurred higher costs overall, noting the variability across studies in their clinical context, reporting of HRU, and cost measures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".