## 5 Methods
A total of 979 search results from EBSCOhost were imported into Covidence software ([[https://app.covidence.org/reviews/490239](https://app.covidence.org/reviews/490239)]([https://app.covidence.org/reviews/490239](https://app.covidence.org/reviews/490239)) (accessed on 4 March 2025)) and duplicate articles were removed, resulting in a total of 306 articles. Titles and abstracts were independently screened by three researchers, and articles that did not meet the inclusion criteria were excluded, resulting in 164 articles for the full-text review. The main reasons for exclusion were titles and abstracts that were not in English, did not relate to driving, or did not involve participants with cognitive deficits. Before completing the full-text review, three researchers spent one hour independently reviewing 10 articles chosen at random, cross-checking them for accuracy on whether the article was included or excluded based on the predetermined criteria. Researchers did not proceed with the full-text review until a benchmark of 80% agreement on inclusion-exclusion rate was reached. A 90% agreement was met following the first cross-check, which demonstrated consistency among the researchers. A total of 164 articles then went through a full-text review for inclusion in data extraction. This was completed independently by two members of our team, with disagreements discussed and resolved with an additional team member. During the full-text review, articles were further excluded under the following circumstances: the study focused only on participants without cognitive deficits; the participants had comorbidities; the results did not specifically report on individuals with cognitive deficits; no on-road risks were identified; or no full-text version \begin{table}
\begin{tabular}{c c} \hline \hline
**Title** & **PMID** \\ \hline Predictors of accidents in people with mild cognitive & \\ impairment, mild dementia due to Alzheimer’s disease & 32249449 \\ and healthy controls in simulated driving & \\ \hline Occupational Therapy Interventions to Improve Driving & \\ Performance in older people with mild cognitive & 34780644 \\ impairment or early-stage dementia: A systematic review & \\ \hline Driving cessation and self-reported car crashes in older & \\ drivers: The impact of cognitive impairment and dementia & 18503033 \\ in a population-based study & \\ \hline Impact of cognitive impairment on driving behaviour and & 38898026 \\ route choices of older drivers: A real-world driving study & 29802093 \\ \hline Computer-Based Driving in Dementia Decision Tool With & \\ Mail Support: Cluster Randomized Controlled Trial & 29802093 \\ \hline Development of a decision-making tool for reporting & \\ drivers with mild dementia and mild cognitive impairment & 28325164 \\ to transportation administrators & \\ \hline Driving Ability Evaluation and Rehabilitation for People & 35984740 \\ With Alzheimer’s Disease and Related Dementias & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: MESH search articles. \begin{table}
\begin{tabular}{c c} \hline \hline Line 1 & dementia\({}^{\star}\) OR alzheimer\({}^{\star}\) OR mild cognitive impairment \\  & OR cognitive disorder \\ Line 2 & driving OR [driving technology] OR driving cessation OR \\  & driving behaviors OR driving simulator \\ Line 3 & safety OR accident* OR injur\({}^{\star}\) OR risk factors OR decision \\  & making OR limitations \\ Line 4 & AND Older adults \\ \hline \hline \end{tabular}
\end{table} 
Table 3: EBSCOhost Boolean search operator string. of the articles were found. After exclusion, 68 articles proceeded to the data extraction phase. The extracted data included study region, date of publication, study focus, setting, method, design, diagnosis, number of participants, gender, participant perspective, key findings, and on-road risks. The researchers independently completed data extraction on the same ten articles selected at random and then cross-checked to ensure consistency among the extracted data.