Reducing Routine Bloodwork in Home Dialysis Patients: A Quality Improvement Initiative
Bibliographic record
Abstract
Background: There is a paucity of evidence for routine bloodwork frequency in maintenance dialysis patients to assess and manage complications such as anemia and mineral bone disease (MBD). Recent studies showed that decreasing the frequency in conventional in-center hemodialysis (ICHD) patients had no negative impacts. Given the strain on lab services from the COVID-19 pandemic, Alberta Kidney Care-South (AKC-S) decreased the frequency of routine labs from monthly to every 2 months in home hemodialysis (HHD) and peritoneal dialysis (PD) patients. We studied the effect of this change on patient outcomes. Methods: We retrospectively compared prevalent home dialysis patients (>3 months) in AKC-S over two 6-month periods: a) Pre-pandemic May-Oct 2019 and b) Pandemic May-Oct 2020. Primary outcomes were number of routine bloodwork days and percentage of patients within target for anemia (hemoglobin, iron saturation) and MBD (calcium, phosphorus, parathyroid hormone). We also compared hospitalizations, mortality, technique failure (defined as transition to ICHD for >60days), and cost. Results: There were 366 home dialysis patients in 2019 (270 PD, 96 HHD) and 400 in 2020 (296 PD, 104 HHD). The number of routine bloodwork days decreased in 2020 compared to 2019 (p<0.01) (Fig 1). The proportion of patients who achieved anemia (33% vs 35%, p=0.44) and MBD (34% vs 28%, p=0.1) targets was similar. There was no difference in the number of hospitalizations (155 vs 141, p=0.34), deaths (13 vs 17, p=0.71) or technique failure (8% vs 5%, p=0.06). Projected cost savings were $102 per patient year from reduced labs.Figure 1.: Distribution of the number of routine bloodwork days Home Dialysis patients had during the pre-pandemic (blue) and pandemic (orange) periods.Conclusions: AKC-S reduced the frequency of routine labs during the pandemic in home dialysis without negative consequences on patient biomarkers or outcomes. Our study suggests that bloodwork frequency in home dialysis patients may be safely reduced.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".