A Proof-of-Concept Investigation of an Energy Management Education Program to Improve Fatigue and Life Participation in Adults on Chronic Dialysis
Bibliographic record
Abstract
Background:Fatigue and its negative impact on life participation are top research priorities of people on chronic dialysis therapy. Energy management education (EME) is a fatigue management approach that teaches people to use practical strategies (eg, prioritizing, using efficient body postures, organizing home environments) to manage their energy expenditure during everyday life.Objective:The aim of this study is to explore whether EME is associated with improvements in fatigue and life participation in adults on chronic dialysis.Design:Five single-case interrupted time-series AB studies, and follow-up qualitative interviews.Setting:The hemodialysis and peritoneal dialysis units at an academic hospital in Toronto, Canada.Patients:In total, 5 patients on chronic dialysis therapy were purposively selected to represent diversity in age, gender, and modality.Measurements:Brief questionnaires assessing fatigue and life participation were administered weekly during the baseline and intervention periods. Additional validated questionnaires (the Fatigue Impact Scale, 36-Item Short-Form Health Survey [SF-36] Vitality Scale, and Canadian Occupational Performance Measure) were also administered at baseline and post-intervention.Methods:All participants underwent “The PEP Program,” a personalized, web-supported EME program designed to meet the needs of people on dialysis. During the program, participants complete 2 brief web modules about energy management, and then use energy management principles and a problem-solving framework to work on 3 life participation goals during sessions with a trained program administrator. Data were analyzed using visual analysis and the Tau-<i>U</i> statistic for the weekly time-series data, and thematic analysis for the qualitative interviews.Results:Three of 5 participants displayed a consistently positive response to the Personal Energy Planning (PEP) program across multiple measures of fatigue and life participation. Tau-<i>U</i> effect size estimates ranged from small to moderate, according to the time-series data. All 5 participants expressed that the program had benefited them in qualitative follow-up interviews, with the most common reported benefit being that the program made day-to-day activities easier. The format of the program was also said to be feasible and convenient.Limitations:An exploratory, proof-of-concept study that used a small set of participants and lacked an active control comparison.Conclusions:The PEP program might have potential for improving fatigue-related outcomes in people on chronic dialysis. Larger, controlled studies of the program are 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".