Factors Influencing Recruitment, Retention, and Adherence Rates in Exercise Interventions in ESKD: A Scoping Review
Bibliographic record
Abstract
Rational & Objective: Majority of people with end-stage kidney disease (ESKD) are sedentary, which increases risk for decreased quality and quantity of life. Development of exercise programs with characteristics that address individual preferences may increase interest in participating and completing exercise programs. We evaluated which exercise intervention characteristics affect exercise program recruitment, adherence, and completion in people with ESKD receiving dialysis. Study Design: Scoping review of randomized controlled trials (RCTs) with searching of Medline, Embase, Cochrane, and CINAHL databases through May 12, 2023. Setting & Study Populations: Adults with ESKD receiving dialysis. Selection Criteria: RCTs with exercise interventions of ≥12 weeks that included more than 10 people with ESKD receiving dialysis in each study arm. Data Extraction: One individual extracted data and the second author checked for accuracy. Analytical Approach: Data were synthesized qualitatively. Associations between intervention characteristics and recruitment, retention and adherence rates were assessed through one-way analysis of variance tests. Risk of bias was assessed using the Cochrane Risk of Bias 1.0 tool. Results: Of 7,396 studies identified, 55 studies with 3,269 trial participants were included. The majority of participants were male (63.2%) and treated with hemodialysis (89.1%). Mean age was 56 ± 11.5 years. Average recruitment, retention and adherence rates were 77.4%, 81.2%, and 76.0%, respectively. Only 27% of studies reported adherence rates. No significant associations were found between intervention characteristics (ie, exercise type, duration, frequency, setting, and supervision) and recruitment, adherence, and retention rates. Limitations: Data were limited by small sample size, suboptimal risk of bias, selective recruiting methods, and variability in definitions of adherence rates. Conclusion: Average recruitment, retention, and adherence rates in exercise interventions for patients receiving dialysis were high although less than 1 in 4 studies reported adherence rates. These results call for standardized reporting of recruitment, retention, and adherence rates in exercise interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.045 | 0.187 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.013 |
| Bibliometrics | 0.015 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".