Preferences for a self-management e-health tool for patients with chronic kidney disease: results of a patient-oriented consensus workshop
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Electronic health (e-health) tools may support patients' self-management of chronic kidney disease. We aimed to identify preferences of patients with chronic kidney disease, caregivers and health care providers regarding content and features for an e-health tool to support chronic kidney disease self-management. METHODS: A patient-oriented research approach was taken, with 6 patient partners (5 patients and 1 caregiver) involved in study design, data collection and review of results. Patients, caregivers and clinicians from across Canada participated in a 1-day consensus workshop in June 2018. Using personas (fictional characters) and a cumulative voting technique, they identified preferences for content for 8 predetermined topics (understanding chronic kidney disease, diet, finances, medication, symptoms, travel, mental and physical health, work/school) and features for an e-health tool. RESULTS: There were 24 participants, including 11 patients and 6 caregivers, from across Canada. The following content suggestions were ranked the highest: basic information about kidneys, chronic kidney disease and disease progression; reliable information on diet requirements for chronic kidney disease and comorbidities, renal-friendly foods; affordability of medication, equipment, food, financial resources and planning; common medications, adverse effects, indications, cost and coverage; symptom types and management; travel limitations, insurance, access to health care, travel checklists; screening and supports to address mental health, cultural sensitivity, adjusting to new normal; and support to help integrate at work/school, restrictions. Preferred features included visuals, the ability to enter and track health information and interact with health care providers, "on-the-go" access, links to resources and access to personal health information. INTERPRETATION: A consensus workshop developed around personas was successful for identifying detailed subject matter for 8 predetermined topic areas, as well as preferred features to consider in the codevelopment of a chronic kidney disease self-management e-health tool. The use of personas could be applied to other applications in patient-oriented research exploring patient preferences and needs in order to improve care and relevant outcomes.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it