Increasing Accessibility to Intradialytic Cycling in Rural and Remote Settings: Program Report
Bibliographic record
Abstract
Purpose of program: Access to exercise and rehabilitation is often lower in rural or remote areas and hemodialysis (HD) dependence imposes additional barriers. Intradialytic cycling (IDC) can improve HD-related symptoms, such as leg cramping, restless legs, and symptoms of depression, as well as physical function and fitness, but access to exercise professionals with this expertise is limited. To promote access to IDC in rural and remote HD units, we describe the implementation and initial evaluation of a novel IDC program using virtual assessment to safely prescribe and individualize IDC. Sources of information: We developed and piloted a protocol for virtual IDC assessment and prospectively collected metrics informed by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to support future quality improvement activities. Methods: Rural HD units were defined as per Alberta Kidney Care North (AKC-N)'s operations. The virtual IDC program components were: HD unit education sessions, support and interest from local unit staff and those receiving HD, a bike, a supervising kinesiologist, a stable Internet connection, a nurse present during the 25-minute initial virtual assessment, and virtual follow-up every 3 to 4 weeks with the kinesiologist. The initial assessment consists of a virtual bike test where the participant performs a graded, symptom-limited cycling trial with documentation of vital signs and rating of self-perceived exertion (relative intensity). The data are used to prescribe IDC (frequency, intensity, time). The HD unit staff learn participant and bike set-up, confirm safe exercise parameters for that day, adjust the bike intensity, and take vital signs. Outcomes for evaluating the impact of the IDC program using the RE-AIM health framework were selected. Key findings: Out of the 24 HD units in AKC-N, 18 units were defined as either remote or rural (75%). Four of the units (22%) adopted the program, which was less than our target of 30% of units. Individual-level participation (Reach) within those units ranged widely (1-67%) with only one unit reaching the target of at least 30% individual-level participation. Reasons for starting IDC were intradialytic cramping, restless legs, deconditioning, and boredom during HD. Reasons for non-participation were lack of interest and a desire to sleep. Routine exercise program questionnaires on health-related quality of life for program effectiveness were not consistently completed by participants. All virtual assessments were completed as per protocol with a nurse (100% fidelity); however, tests often needed to be re-scheduled due to technical issues with Wi-Fi, limited unit staffing, operational demands, and/or safety concerns. At 1 year, all 4 units continued to participate with 2 additional HD units starting the following year. Limitations: Reach could be improved by introducing intradialytic exercise to individuals at HD initiation, prior to moving to their local satellite HD unit. Existing measures of program effectiveness may not be relevant to program participants or feasible to implement without an on-site exercise professional. Technical issues and navigating the busy schedules of unit staff were limitations to completing tests as scheduled. Implications: Implementing a protocolized approach with virtual support can increase accessibility to an evidence-based treatment in HD units without exercise professionals. For people requiring HD, reach may be improved with early education and exposure at HD start and with orientation sessions for staff. Adding a virtual IDC assessment day for staff as part of their routine monthly task schedule may promote institutionalization. Formalized follow-up sessions for kinesiologists and nurses to discuss program concerns would benefit the program in the future. Completion of program effectiveness measures may be improved by selecting more individualized options, for example, person-reported measures related to the individual's reason for referral.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".