RISK OF MOTOR-VEHICLE ACCIDENTS INCREASES WITH MULTIMORBIDITY
Author(s)
Fortin Y1, Crispo JA1, McNair DS2, Cohen D3, Dahrouge S4, Mattison DR5, Krewski D5
1University of Ottawa, Ottawa, ON, Canada, 2Cerner Corporation, Kansas City, MO, USA, 3Canadian Institute for Health Information, Ottawa, ON, Canada, 4Bruyère Research Institute, Ottawa, ON, Canada, 5Risk Sciences International, Ottawa, ON, Canada
OBJECTIVES: Health conditions including epilepsy, multiple sclerosis, cardiovascular diseases, diabetes, and psychiatric disorders are known risk factors for motor-vehicle accidents (MVAs). Yet, few studies have investigated if the co-occurrence of such conditions compounds the risk of MVAs. We examined the relationship between multimorbidity and MVAs with additional stratification by age and sex. METHODS: The Cerner Health Facts® U.S. electronic health record database [2002 to 2012] was used to identify driver-related MVA cases in persons 16 years and older. Cases were matched to controls [1:5] receiving care from the same health facility on age and sex. Multimorbidity assessment was based on the prevalence of 13 predefined common health conditions retrospectively assessed over 2 years of patient history. MVA risk for individuals with increasing multimorbidty [1, 2, 3, 4, 5, 6+ conditions], relative to no morbidity, was estimated using conditional logistic regression adjusting for confounders that included alcohol abuse and socioeconomic status. RESULTS: The 74,167 MVA cases identified were matched to 370,835 controls. Males (59.1%) and those under 44 years of age (68.2%) were more frequently involved in MVAs than their counterparts. Multimorbidity, 2 or more health conditions, was more common in cases (8.0%) than controls (5.3%), χ (1, N = 445,002) = 585.9, p<.0001. The relationship between multimorbidity and MVAs followed a positive monotonic dose–response curve. Compared to no morbidity, adjusted odds ratios increased from 1.12 (95% CI 1.07-1.16 ) to 1.37 (95% CI 1.23-1.52) to 3.65 (95% CI 2.78-4.79) with two, four, and six or more concurrent health conditions, respectively. The latter relationship was duplicated in the stratified analyses by sex and age. CONCLUSIONS: Greater multimorbidity was associated with intensifying MVA risk. Given the demographic change involving population aging and its associated increase in multimorbidity, results of this study should be replicated in a population controlled for driving exposure.
Conference/Value in Health Info
2016-10, ISPOR Europe 2016, Vienna, Austria
Value in Health, Vol. 19, No. 7 (November 2016)
Code
PHS149
Topic
Epidemiology & Public Health
Disease
Diabetes/Endocrine/Metabolic Disorders, Multiple Diseases, Neurological Disorders, Oncology