Traffic Tech #301: Literature Review of Polypharmacy and Older Drivers: Identifying Strategies to Study Drug Usage and Driving Functioning Among Older Drivers |
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As the population of the
Medication/Polypharmacy Effects on Older People
The first section examines recent literature on medication use in community-dwelling older people (those not living in nursing homes or other institutions) in the
Measuring Medication Usage
Since conclusions cannot be made about the effects of medications on driving behavior if the medication is not taken, or more or less of the medication is taken than prescribed, the second section of this review examines the measuring/monitoring of medication usage. This section begins with a discussion of methods used to measure compliance, including the pros and cons of each method. These methods include: clinical judgment, patient’s self-report, clinical response, biochemical measures, pill counts, pharmacy records, and electronic medication monitoring devices. This section also examines the factors affecting compliance with medication regimes. Medication-related factors are when there is a decrease in compliance associated with increases in the complexity, cost, and duration of medication regime, the number of prescribed medications, and the severity of side effects. Patient-related factors that correlate with low compliance include: limited access to health care; financial problems; communication barriers; and lack of social support. The prescriber-related factors that correlate with low compliance include: a poor prescriber-patient relationship; poor prescriber communication skills; a mismatch between the prescriber and patient regarding health beliefs; and a lack of positive reinforcement from the health care provider. In addition, this section examines several factors that affect older persons’ willingness to participate in research and offers some lessons learned to help in recruitment of elderly patients into studies.
Measuring Driving Performance
This document concludes with a section that reviews the literature on methods to measure driving performance. This includes discussing the pros and cons of on-road testing and driving simulation to measures driving performance. The advantages and disadvantages of naturalistic studies (driving in traffic) and controlled driving (driving on a closed course) are presented along with reviews of the different levels of driving simulation measures that range from noninteractive, computer graphic, or digital video visuals with no motion, to interactive, computer graphic visuals with full motion. This section highlights methods that appear to hold the greatest promise for evaluating the effects of drugs on driving performance while also acknowledging shortcomings and limitations that have been reported in the literature.
A bibliography containing over 200 citations is included, plus an appendix identifying potentially inappropriate medications commonly prescribed for older, community-dwelling individuals.
How To Order
For a copy of Literature Review of Polypharmacy and Older Drivers: Identifying Strategies to Collect Drug Usage and Driving Functioning Among Older Drivers, prepared by TransAnalytics, LLC, write to the Office of Research and Technology, NHTSA, NTI-130, 400 Seventh Street SW., Washington, DC 20590, fax 202-366-7096 or download from www.nhtsa.dot.gov. Suzanne Feldman, Ph.D., and John Siegler, Ph.D., were the contract managers.
One notable finding that provides perspective on the issue of polypharmacy and older adults was a cohort study of nearly 28,000 Medicare+Choice enrollees cared for by a multispecialty practice (an ambulatory clinic setting) during a 12-month study period between 1999 and 2000. Researchers found that 75 percent of the sample received prescriptions for 6 or more prescription drugs (Gurwitz, Field, Harrold, Rothchild, Debellis, Seger, Cadoret, Fish, Garber, Kelleher, and Bates, 2003). Residents of long-term care facilities were excluded from the study. The average age of the subjects in the sample was 74.7 (sd=6.7). The age and gender distribution of the sample were similar to that of the
Cardiovascular (53.2%)
| Sedatives/hypnotics (12.9%)
| Osteoporosis (5.3%)
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Antibiotics/anti-infectives (44.5%)
| Nutrients/supplements (12.3%)
| Antiseizure (3.4%)
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Diuretics (29.5%)
| Hypoglycemics (11.5%)
| Antigout (3.2%)
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Opioids (21.9%)
| Steroids (9.7%)
| Antineiplastics (2.8%)
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Antihyperlipidemic (21.7%)
| Ophthalmics (9.6%)
| Antiplatelets (1.3%)
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Nonopioid analgesics (19.8%)
| Thyroid (9.4%)
| Antipsychotics (1.2%)
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Gastrointestinal tract (19.0%)
| Antihistamines (9.2%)
| Antiparkinsonians (0.9%)
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Respiratory tract (15.6%)
| Hormones (9.1%)
| Alzheimer disease (0.9%)
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Dermatologic (14.8%)
| Anticoagulants (7.0%)
| Immunomodulators (0.04%)
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Antidepressants (13.2%)
| Muscle relaxants (5.4%)
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TRAFFIC TECH is a publication to disseminate information about traffic safety programs, including evaluations, innovative programs, and new publications. Feel free to copy it as you wish. If you would like to receive a copy, contact Patricia Ellison Potter, Ph.D., Editor, fax 202-366-7096, e-mail: patricia.Ellison-potter@nhtsa.dot.gov.