Promoting medication adherence from the perspective of adolescent and young adult kidney transplant recipients, parents, and health care professionals: A TAKE‐IT TOO study
Bibliographic record
Abstract
Medication non-adherence is an important factor limiting allograft survival after kidney transplantation in AYA. Some interventions, including the TAKE-IT, showed some success in promoting adherence but the potential for scalability and use in routine clinical practice is limited. We applied user-centered design to gather the perspectives of recipients, parents, and health professionals concerning their needs, challenges, and potential intervention strategies to design an optimal, multi-component medication adherence intervention. The qualitative study was conducted at four Canadian and three American kidney transplant programs. Separate focus groups for recipients, parents, and health professionals were convened to explore these stakeholders' perspectives. Directed content analysis was employed to identify themes that were shared vs distinct across stakeholders. All stakeholder groups reported challenges related to taking medications on time in the midst of their busy schedules and the demands of transitioning toward independence during adolescence. The stakeholders also made suggestions for the multi-component behavioral intervention, including an expanded electronic pillbox and companion website, education materials, and customized digitized features to support shared responsibility and communication among recipients, parents, and health professionals. Several suggestions regarding the functionality and features of the potential intervention reported in this early stage will be explored in more depth as the iterative process unfolds. Our approach to actively involve all stakeholders in the process increases the likelihood of designing an adherence intervention that is truly user-informed and fit for the clinical setting.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".