Interactive Computer-Adaptive Chronic Kidney Disease (I-C-CKD) Education for Hospitalized African American Patients: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: End-stage kidney disease (ESKD) or kidney failure is a condition where the kidneys lose the ability to function. African American individuals are 4 times as likely to develop ESKD compared to White American individuals. In addition, African American patients are less likely to have an optimal dialysis start and to choose renal replacement therapy modalities that align with their goals and values. Our prior work shows that culturally tailored, in-person education improves patient outcomes. This is the foundation for our innovative intervention using an African American virtual patient educator as an option for hospitalized patients with chronic kidney disease (CKD). OBJECTIVE: The Interactive Computer-Adaptive Chronic Kidney Disease (I-C-CKD) study will determine whether the computerized adaptive education and usual hospital care impact the health literacy of African American patients with kidney disease. It will also assess how patients' lifestyle and commitment to health goals are impacted by the method of health literacy education. METHODS: We will screen, recruit, and enroll hospitalized patients who self-identify as African American and have advanced CKD based on their estimated glomerular filtration rate. Eligible patients who verbally consented will be randomly assigned into either the computerized adaptive education intervention group or the control group (usual hospital care). Patients in the intervention group will receive a culturally tailored, adaptive education module. To analyze pretest, posttest, and follow-up survey results on patient CKD knowledge, ESKD treatment options, and health goals, we will use a paired, 2-tailed t test with a Bonferroni adjustment for multiple comparisons. RESULTS: Recruitment for the I-C-CKD study began on May 2, 2023. We are currently recruiting and have enrolled 96 patients who completed both pretest and posttest surveys as of December 2024. This includes 50 patients in the control group and 46 patients in the intervention group. Data analysis has not occurred. CONCLUSIONS: African American individuals often receive less patient education about self-care and treatment options for CKD. We hope this study provides a solution to increase hospitalized African American patients' knowledge of CKD and motivation for CKD self-care through computerized adaptive education, reduce disparities, and improve patient outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT06364358; https://clinicaltrials.gov/study/NCT06364358. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/66846.
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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 | 0.025 | 0.025 |
| Meta-epidemiology (narrow) | 0.006 | 0.003 |
| Meta-epidemiology (broad) | 0.012 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.078 | 0.010 |
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".