| Literature DB >> 30223796 |
Dafne Piersma1, Anselm B M Fuermaier2, Dick De Waard2, Ragnhild J Davidse3, Jolieke De Groot3, Michelle J A Doumen2, Rudolf W H M Ponds4, Peter P De Deyn5, Wiebo H Brouwer2,5, Oliver Tucha2.
Abstract
BACKGROUND: Driving is related to social participation; therefore older drivers may be reluctant to cease driving. Continuation of driving has also been reported in a large proportion of patients with cognitive impairment. The aim of this study is to investigate whether patients with cognitive impairment adhere to driving cessation advice after a fitness-to-drive assessment and what the consequences are with regard to mobility.Entities:
Keywords: Adherence to driving cessation advice; Alternative transportation; Dementia; Driving cessation; Mobility
Mesh:
Year: 2018 PMID: 30223796 PMCID: PMC6142418 DOI: 10.1186/s12877-018-0910-4
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Driving continuation and cessation by patients with cognitive impairment per recommendation given after the fitness-to-drive assessment
| Recommendation | Driving at follow-up | |
|---|---|---|
| Yes | No | |
| Continue driving ( | 73 (92.4%) | 6 (7.6%) |
| Driving lessons ( | 18 (58.1%) | 13 (41.9%) |
| Cease driving ( | 13 (21.0%) | 49 (79.0%) |
| Total ( | 104 (60.5%) | 68 (39.5%) |
Fig. 1Percentages of reported reasons for driving cessation by patients with cognitive impairment who ceased driving (multiple answers possible, n = 68)
Comparison of current and retired drivers with cognitive impairment on predictor variables
| Group | |||
|---|---|---|---|
| Current drivers ( | Retired drivers ( | ||
| Intrapersonal factors | |||
| Age in years, mean (SD), y | 70.2 (8.7) | 73.0 (8.7) | .032 (171)a* |
| Male sex, No. (%) | 83 (79.8%) | 45 (66.2%) | .051 (1)b |
| Diagnosis of AD, No. (%) | 53 (51.0%) | 40 (58.8%) | .035 (1)b* |
| CDR-score, No. (%) | |||
| 0 | 15 (14.4%) | 1 (1.5%) | <.001 (2)c* |
| 0.5 | 86 (82.7%) | 44 (64.7%) | |
| 1 | 3 (2.9%) | 23 (33.8%) | |
| MMSE-score, mean (SD) | 24.9 (3.5) | 22.4 (4.2) | <.001 (171)a* |
| Health decline, No. (%) | |||
| No | 76 (73.1%) | 33 (49.2%) | .004 (2)c* |
| To some extent | 7 (6.7%) | 5 (7.5%) | |
| Yes | 21 (20.2%) | 29 (43.3%) | |
| Visual acuity (0–1), mean (SD) | .88 (0.21) | .84 (0.21) | .181 (169)a |
| Contrast sensitivity (0–16), mean (SD) | 12.84 (0.68) | 12.55 (0.96) | .022 (170)a* |
| Importance of driving, mean (SD) | 1.57 (0.73) | 1.78 (0.83) | .091 (171)a |
| Patient’s judgement of driving safety, No. (%) | |||
| Safe | 88 (85.4%) | 52 (76.5%) | .136 (2)c |
| Less safe than when middle-aged | 15 (14.6%) | 16 (23.5%) | |
| Unsafe | 0 (0.0%) | 0 (0.0%) | |
| Interpersonal factors | |||
| Recommendation given after fitness-to-drive assessment, No. (%) | |||
| Continue driving | 73 (92.4%) | 6 (7.6%) | <.001 (2)c* |
| Driving lessons | 18 (58.9%) | 13 (41.9%) | |
| Cease driving | 13 (21.0%) | 49 (79.0%) | |
| Authority figure recommended driving cessation, No. (%) | 1 (1.0%) | 12 (17.6%) | <.001 (1)b* |
| Informant’s judgement of driving safety, No (%) | |||
| Safe | 68 (66.6%) | 42 (64.6%) | .190 (2)c |
| Less safe than when middle-aged | 32 (31.4%) | 18 (27.7%) | |
| Unsafe | 2 (2.0%) | 5 (7.7%) | |
| Environmental factors | |||
| Passenger of other drivers, No. (%) | 90 (86.5%) | 65 (95.6%) | .067 (1)b |
| Sum of modes of transport used other than the private car, mean (SD) | 2.48 (0.83) | 2.12 (1.04) | .013 (168)a* |
| Car accidents, mean (SD) | 0.10 (0.33) | 0.16 (0.51) | .484 (171)a |
| Process of driving cessation | |||
| Driving reduction, mean (SD) | −1.49 (1.49) | − 1.83 (1.72) | .151 (168)a |
| Driving restriction, mean (SD) | 1.85 (1.77) | 2.34 (2.30) | .343 (170)a |
aMann-Whitney U test
bFisher’s Exact test
cχ2 test
Statistical significance (p < .05) is indicated by*
Abbreviations: AD Alzheimer’s disease, CDR-score Clinical Dementia Rating Total Score, MMSE-score Mini Mental State Examination Total Score
Summary of binary logistic regression analysis for the prediction of driving continuation (n = 101) versus driving cessation (n = 66) in patients with cognitive impairment
| Predictor variable | B | Wald | P | Odds ratio | |
|---|---|---|---|---|---|
| Age | 0.002 | 0.002 | 0.800 | .371 | 1.002 |
| Gender | −1.149 | 0.575 | 3.991 | .046* | 0.317 |
| CDR-score | −4.512 | 1.498 | 9.075 | .003* | 0.011 |
| MMSE-score | −0.026 | 0.070 | .137 | .712 | 0.975 |
| Health decline | −0.658 | 0.288 | 5.211 | .022* | 0.518 |
| Contrast sensitivity | 0.201 | 0.340 | .348 | .555 | 1.222 |
| Authority figure recommended driving cessation | −2.149 | 1.249 | 2.961 | .085 | 0.117 |
| Recommendation after fitness-to-drive assessment | 1.748 | 0.321 | 29.724 | <.001* | 5.743 |
| Sum of other used modes of transport | −0.234 | .290 | .649 | .420 | 0.792 |
| Constant | −1.101 | 5.568 | .039 | .843 | 0.333 |
| Total R2 = 0.466* |
Statistical significance (p < .05) is indicated by *
Fig. 2Percentages of patients indicating the importance to continue to use certain modes of transportation (multiple answers possible, n = 170). *Driving included both being a driver and being a passenger of a private car. **Other included motorised quadricycles, a motorcycle, and a transportation service of day care
Modes of transportation used by current and retired drivers with cognitive impairment (multiple answers possible)
| Mode of transportation | Current drivers ( | Retired drivers ( |
|---|---|---|
| Passenger of other driver(s) | 86.5% | 95.6% |
| Walking | 91.1% | 79.4% |
| Cycling | 84.5% | 58.8% |
| Public transport | 52.0% | 35.3% |
| Taxis | 10.7% | 25.0% |
| Other modesa | 11.7% | 13.2% |
aOther modes included an airplane, a boat, moped, motorcycle, motorised quadricycle, mobility scooter, buggy at a golf court, and transportation service of day care
Fig. 3Percentages of current and retired drivers with cognitive impairment who increased, did not change, or decreased their frequency of walking (n = 134), cycling (n = 125), and use of public transport (n = 77) after a fitness-to-drive assessment
Fig. 4Percentages of reported reasons for not walking (n = 23), not cycling (n = 44), and not using public transport (n = 93) (multiple answers possible). *Other included for cycling: feeling insecure on a bicycle, bicycle got stolen, a cycling accident, being hospitalized, and passiveness, and for public transport: costs, being hospitalized, partner dislikes public transport, experience with severe delay, feels nauseous in public transport, cannot take mobility scooter along, and maintaining driving skills