Uncovering the Experience of Determining Readiness to Increase Self-Management Responsibility in Canadian Adolescents Living with Type 1 Diabetes
Bibliographic record
Abstract
Although previous research has examined adolescents’ general experiences of living with type 1 diabetes (T1D), there is a paucity of research, especially in Canada, exploring perceived adolescent readiness to assume self-management responsibility from their parents. Utilizing Charmaz’s (2014) constructivist grounded theory methodology, this study aimed to: 1) explore, from the perspective of adolescents, parents, and diabetes nurse educators, the underlying processes in determining adolescent readiness to increase their independence and self-management responsibility of diabetes, and 2) gain a greater understanding of the barriers and facilitators associated with being ready to transfer diabetes management responsibility from the parent to the adolescent. Fifteen semi-structured interviews were completed with three diabetes nurse educators, seven parents of adolescents living with T1D, and five adolescents living with T1D. Five major categories emerged from the data, including: 1) aging through adolescence with diabetes, 2) ready or not here it comes, 3) letting go is a process, 4) encouraging optimal diabetes management, and 5) “it’s not easy having diabetes”.\nThis study provides new insight into the processes used to determine adolescent readiness, from the perspective of adolescents, parents, and diabetes nurse educators. Findings revealed that determining adolescent readiness for increasing their diabetes management responsibility is a complex and tedious process that requires active participation from adolescents, parents, and diabetes nurse educators. It highlights teamwork, communication, and collaboration between the adolescent and their parent(s) and between families and diabetes management teams as pivotal for success. This study emphasizes the need to support adolescents, encouraging them to be independent, building their confidence and growing their diabetes knowledge. With the results from this study, families and diabetes management teams can continue to improve the transfer of care process, including adolescents’ ability to independently manage their diabetes, which will help to successfully prepare teens for the critical transition from pediatric focused to adult oriented medical care.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".