Automated Digital Counseling Program (ODYSSEE-Kidney Health): A Pilot Study on Health-Related Quality of Life
Bibliographic record
Abstract
Key Points Feasibility of implementing an automated, scalable, digital self-care program for patients with CKD was established. The primary outcome of improvement in health-related quality of life improved with the ODYSSEE-Kidney Health program. A dose relationship was shown between program engagement tertile and improvement in 4-month outcomes. Background In-person counseling programs promote self-care behavior and health-related quality of life (HRQoL). ODYSSEE-Kidney Health (pr O moting health with D igitall Y based coun S eling for S elf-care b E havior and quality of lif E ; ODYSSEE-KH) is an automated, scalable, digital counseling program for patients with CKD. This open-label, single-arm pilot study tested the efficacy potential of the ODYSSEE-KH program to improve HRQoL in patients with CKD. Methods Adults with categories G3b to 5d CKD were recruited from nephrology clinics in Toronto, Canada. Patients ( N =29) received access to the ODYSSEE-KH program in conjunction with usual care. Generalized linear models and pairwise comparisons of mean change scores were conducted to assess the primary outcome: Mental Component Score (MCS) of the Kidney Disease Quality of Life–Short Form instrument. Secondary outcomes included the MCS Mental Health Scale, 36-Item Kidney Disease Quality of Life–Short Form, Generalized Anxiety Disorder Scale, Patient Health Questionnaire for depression, Enhancing Recovery in Coronary Heart Disease Social Support Instrument, and 3-Item Revised University of California, Los Angeles (UCLA) Loneliness Scale. Results The mean age of the patients was 53.5 years (SD=18.3); 35% were women; 56% were White; 93% had completed ≥postsecondary education; patients came from the Multi-Care Kidney Clinic ( n =9), Home Peritoneal Dialysis Unit ( n =12), and Home Hemodialysis Unit ( n =8); and 24 participants completed the 4-month end-of-study questionnaires. Outcomes were assessed according to tertiles of program log-on minutes: median (range)=67 (62–108), 212 (119–355), and 500 (359–1573) minutes, respectively. Patients in the highest tertile of engagement showed significant improvements on the MCS versus the moderate tertile group ( P = 0.01). Significant dose-response associations were observed for the MCS Mental Health Scale ( P < 0.05), KDQoL Burden on Kidney Disease ( P < 0.01), KDQoL Effect of Kidney Disease on Everyday Life ( P < 0.01), aggregated KDQoL Summary Scale ( P < 0.05), Generalized Anxiety Disorder Scale ( P < 0.01), Patient Health Questionnaire for Depression ( P < 0.05), Enhancing Recovery in Coronary Heart Disease Social Support Instrument ( P < 0.01), and 3-Item Revised UCLA Loneliness Scale ( P < 0.01). Conclusion The ODYSSEE-KH program demonstrated feasibility as an automated, scalable, digital self-care program for patients with CKD. There is evidence of its efficacy potential to improve HRQoL. Further evaluation with a larger sample is warranted.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".