Patient and Care Partner Burden in CKD Patients With and Without Anemia: A US-Based Survey
Bibliographic record
Abstract
Rationale & Objective: Chronic kidney disease (CKD) has a far-reaching impact on both patients and care partners, which can be further compounded by frequent complications such as anemia. This study assessed the burden experienced by patients with CKD and the care partners of patients with CKD, with and without anemia. Study Design: Online survey. Setting & Participants: Adult patients with CKD and the care partners of adult patients with CKD living in the United States were recruited through the American Association of Kidney Patients and a third-party online panel (January 9, 2020-March 12, 2020). Outcomes: Patient and care partner characteristics, care received or provided; health-related quality of life, and work productivity. Analytical Approach: Descriptive statistics were reported separately based on the presence or absence of anemia. Results: In total, 410 patients (anemia: n=190, no anemia: n=220) and 258 care partners (anemia: n=110, no anemia: n=148) completed the survey. Most patients reported receiving paid or unpaid care because of their health condition (anemia: 58.9%, no anemia: 50.9%), with an overall average of 14.2 and 11.3 h/wk among the anemia and no anemia patients, respectively. The care partners also reported providing numerous hours of care (anemia: 33.6 h/wk, no anemia: 38.0 h/wk), especially care partners living with their care recipient (anemia: 52.6 h/wk, no anemia: 42.8 h/wk). Among the patients, those with anemia reported a numerically lower average health-related quality of life (Functional Assessment of Cancer Therapy-Anemia score, anemia: 110.1; no anemia: 121.6). Most care partners reported a severe or very severe burden (Burden Scale for Family Caregivers-Short Version score≥15, anemia: 69.1%; no anemia: 58.8%). The work productivity impairment was substantial among employed patients (anemia: 44.9%, no anemia: 35.4%) and employed care partners (anemia: 47.9%, no anemia: 40.7%). Limitations: The survey results may have been subject to selection and recall biases; moreover, the observational nature of the study does not allow for causal inferences. Conclusions: Patients with CKD and the care partners of patients with CKD experience a considerable burden, especially when anemia is present.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".