Reactions of Older Adults Driving After Cannabis Exposure

The proposed study is a prospective repeated measures experimental study designed to test medical marijuana use as the exposure variable in adults age 50 and older and driving errors in response time, attention, and executive functions as the primary outcome. Secondary outcomes include: unwanted effects. Participants will complete 3 assessments over a 3-month time period. The 3 assessment time points are: baseline (T1) prior to starting medical marijuana, 1 month post-medical marijuana initiation (T2), and 3 months post-medical marijuana initiation (T3). Electronic Medical Review (EMR) will be conducted at baseline, 1 and 3 months. In addition, potentially confounding disease, treatment, and sociodemographic characteristics will be examined. Data will be collected in a manner that is consistent with transparent reporting as mandated by CONSORT guidelines. Finite mixture modeling and generalized linear modeling accounting for individual and group level outcomes will be used to test the study hypotheses. Participants will be N=60 adults ages 50 and older who have newly registered with the state of Florida to obtain medical marijuana (n=30) or age, race, sex matched non-marijuana user controls (n=30). Intervention Group Recruitment. Participants will be recruited from Medical Marijuana Treatment Clinics of Florida's (MMTC) Gainesville location. Recruitment for this study begins pre-medical marijuana exposure. To obtain medical marijuana in the state of Florida there are four steps: * Step 1: Determine Eligibility: Eligibility for medical marijuana use must be determined by a qualified physician. A patient must first seek treatment from a qualified physician. MMTC has qualified physicians who determine patient eligibility. * Step 2: Medical Marijuana Registration: Once the MMTC physician determines the patient is eligible for medical marijuana, the physician then inputs the patient's information and the medical marijuana order information into the Medical Marijuana Use Registry. MMTC physicians complete this process during the eligibility appointment. Recruitment for the current project begins at step 2 which is prior to any exposure to medical marijuana. Participants will undergo a brief screen during their visit with the MMTC physician to determine if they meet eligibility criteria (See Eligibility Criteria in Human Study Record 1 per new National Institute of Health (NIH) guidelines). Eligibility screening procedures will be institution review board (IRB)-approved and will not collect any identifying information. Self-report questionnaires will be use to discern eligibility. Eligibility will be confirmed using medical records at enrollment. If MMTC patients meet eligibility criteria, they will be given the opportunity to meet with the study research assistant (RA) to learn more about the project. Participants will be provided a detailed description of the study, and the research assistant will obtain permission to follow up with the patient (by phone or text) in order to track their progress on obtaining their registry identification card. * Step 3: Medical Marijuana Use Registry Identification Card: Once a physician has input the patient's information into the Medical Marijuana Use Registry (i.e. step 2), the patient is able to apply for a medical marijuana card. This process takes approximately 10-14 days. Participants will be instructed to schedule their baseline study visit prior to obtaining their first dose of medical marijuana. At the baseline appointment the study staff will obtain informed consent and complete the biobehavioral assessment measures, and participants will complete their first drive. * Step 4: Dispensation of Medical Marijuana: Once the patient receives the medical marijuana card, the patient is then able to fill their first order for medical marijuana at a dispensary. The Medical Marijuana Use Registry will track patients' dose, frequency, type of medical marijuana received, and route of administration. After obtaining their medical marijuana card and filling their first dispensation, the investigators will track patients through MMTC and follow patients for 3 months post medical marijuana initiation. Control Group Recruitment. Control participants will be age, race, and sex matched adults 50 and older with a diagnosis of chronic or severe pain recruited from the community using flyers/handouts; newspaper/Internet advertisements; in-person lectures and events; and contact via mail, e-mail, and the infrastructure and support of Oak Hammock at the University of Florida (UF), a residential retirement community. The investigators will also phone individuals enrolled in the UF HealthStreet and Clinical and Translational Science Institute's (CTSI) Integrated Data Repository, a database organizing clinical information across UF Health's clinical and research programs. Attrition is a large concern in an observational trial of this rigor. Within the lab, based on prior experience the investigators anticipate between 15-20% dropout by time point 3. Therefore, the investigators anticipate recruiting 72 participants (62+20%) in order to achieve our goal. However, there are numerous strategies that the investigators have used in the past and will put in place to increase retention. Test of Aim 1 (Driving Simulator) Driving Simulator Data will be collected via the kinematic functionality of the high-fidelity driving simulator (e.g. speed in mph, braking, swerving, lateral lane positioning, etc.) and also through observing the performance of the driver via a trained evaluator who will use the playback function of the simulator to scrutinize the errors. The drive will begin with a 5-minute acclimation scenario which is designed to train drivers on aspects of simulator operation and help them adjust to driving in a simulator. The simulator acclimation drive addresses lane keeping on straight and curved roads, braking, changing lanes, use of side and rear-view mirrors, and stopping. After the 5-minute acclimation scenario, the driver will drive the main drive for 10 minutes. Three scripted events will be randomly presented to the drivers to control for learning effects. * Event 1. To assess response time, during the drive a vehicle is pulling out in front of the driver and the driver's behavior is measured via braking milliseconds (ms) and swerving (standard deviation {SD} of lateral deviation from center lane). * Event 2. Next, using an established protocol, during the course of the drives four divided attention tasks (being aware of the traffic and surrounding while focusing on critical stimulus) are assessed via a triangle appearing on the screen and the participant needing to press a button (i.e. respond) as soon as they see it (measured in ms and number of omissions and commissions). * Event 3. Lastly, executive functions are measured by providing the driver with instructions before the drive (i.e. to turn into an onscreen Kentucky Fried Chicken (KFC), pull into a parking bay, and when it is safe to do so, exit the lot and merge into the flow of traffic (measured via visual scanning (yes/no) speed regulation (mph over or under the speed limit), adjustment to stimuli (notice the KFC (yes/no), slow down (mph), signaling (yes/no), vehicle positioning (buffer around the vehicle yes/no), and gap acceptance (narrow or tight via ms)69, 70,121-122. Participants will be scored on number of tasks completed correctly. Within Subject Analysis. To answer the primary question of this proposal, "Does medical marijuana use affect driving performance?," the investigators will use repeated measures ANOVA. The investigators will examine within subject differences on measures at all 3 time points in order to answer the question of whether medical marijuana impacts response time, divided attention, and executive functions. Using a repeated measures ANOVA, time will serve as the independent variable and continuous measures of driving errors (as defined above) as the outcomes. Power Analysis: The investigators computed the power to detect a medium effect size of 0.5 standard deviations across groups. Assuming a correlation of 0.2 across the repeated measures at three time points, the standard deviation of the average of three measures is 0.683 times the standard deviation of one measure. Therefore, with 30 per group the investigators can detect a difference in this average of 0.5 times the standard deviation of one measure, using a two-sided test with 80% power. The investigators calculated Cohen's d using Dr. Classen's prior work that examined total driving errors and specific errors (lane maintenance) in healthy controls (M=24.08 SD=12.38) and (M=5.78 SD=4.26) versus Parkinson's patients (M=31.99 SD=22.01) and (M=10.23 SD=9.26), which yielded a Cohen's d of .46-.65 (medium effect size)59; therefore, the investigators will be powered to detect this medium effect size. Between Group Analyses Comparisons between medical marijuana users and control group participants will be examined using independent samples t-test (controlling for unequal variances using Levene's test) or Mann-Whitney U tests if the data are nonparametric in order to rule out change over time as an explanation of findings. No difference is hypothesized between groups at baseline. At time 2 and 3 the control group is hypothesized to have higher average response time, divided attention reaction time, and scores on divided attention tasks completed correctly than medical marijuana users. Test of Aim 2 (Unwanted Effects) Adverse Effects. In this study, adverse effects are defined as undesired effects that occur when medication is administered. The investigators will use Scripted Prompting, a proactive form of adverse effect capture recognized in the field. This method is designed to elicit adverse effects without biasing the patient; it is a standardized question that allows participants to report important symptoms without being influenced by suggestion. For this study the investigators will ask: "Since initiating medical marijuana, are you having any problems related to use?" To describe factors associated with adverse effects, the investigators will report the number of adverse effects reported by participants at time points 2 and 3. Unwanted Effects will be defined as both a count variable and a binary variable such that absence or presence of adverse effects will be coded as 0/1 respectively. The investigators will then use Poisson and Logistic regression methods to examine analyze the bivariate association between dosage, frequency of use, route of administration (pills, vape, etc.), and type of product (THC v. CBD). Power Statement: The goal of aim 2 is to examine the strength of the association between factors of medical marijuana use and adverse effects. Currently, the literature does not contain data regarding the strength of the association between medical marijuana use and adverse effects or how dosage, frequency of use, and route of administration are associated with adverse effects. As there may be insufficient power for statistical significance using the proposed analyses above, effect size estimates will be used to examine the strength of the association between variables. With 30 per group, the investigators can detect a difference of 0.73 standard deviations using a two-sided test with 80% power. Exploratory Aim: Examine factors associated with study feasibility (enrollment and retention) for development of a future R01. The investigators will describe the association between socio-demographic factors (i.e. gender, race, and education) and enrollment and retention in the intervention condition in order to identify ways to improve study feasibility. The investigators will use chi-square for dichotomous variables and Pearson correlations for continuous variables to examine associations between sociodemographic factors and study enrollment (number screened who meet criteria versus number enrolled) and retention (number enrolled versus number completing all 3 time points). This method will allow us to identify candidate predictors of enrollment and attrition to inform the investigative team about strengthening recruitment/retention efforts for specific subgroups.