Using the Driving and Dementia Roadmap (DDR) to address the emotional impact of driving cessation and dementia
Bibliographic record
Abstract
Abstract Background The emotional impact of driving cessation for people living with dementia (PWD) and their family/friend carers (FCs) can be significant, often contributing to their avoidance of this issue. In addition to the grief and anger associated with PWD’s loss of identity and independence, feelings of fear and distress can accompany PWD’s and FC’s lack of knowledge about driving cessation. In this study, we conducted an implementation evaluation of the Driving and Dementia Roadmap (DDR). The DDR is a web‐based collection of resources and tools to support PWD and FCs through the decision‐making process and transition to non‐driving, including information on managing the oft‐neglected emotional implications of stopping to drive. Method Semi‐structured interviews were conducted with 19 Alzheimer Society (AS) staff after a three to six month period of delivering the DDR to their clients in six AS sites in four Canadian provinces. Eight PWD and 13 FCs who engaged with the DDR were also interviewed. Participants were asked about their experiences of delivering or using the DDR. An inductive thematic analysis of the data was conducted. Result According to study participants, the DDR had both a direct and indirect impact on the emotional aspects of driving cessation for FCs and PWD. FCs described how the emotion content gave them insight about the grief and loss the PWD was experiencing. This understanding helped them to attend to the emotional ramifications of driving cessation and to initiate conversations about driving with compassion, empathy and patience. Indirectly, the DDR also helped PWD and FCs feel that they are not alone, thus “normalizing” driving cessation. They reported being reassured that the actions they had taken and decisions made to stop driving were appropriate. Strategies about remaining mobile also brought relief and hope that PWDs’ quality of life could be maintained once driving ceased. Conclusion By providing resources and tools that not only directly address the emotional impact of driving cessation, but also attend to other aspects of managing the decision‐making and transition to non‐driving, the DDR has the potential to lessen the associated grief, fear and distress often experienced by PWD and FCs.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".