The present proposal focuses on the medication adherence behaviors of rheumatoid and osteoarthritis patients. Although available medications cannot cure either form of arthritis, they do slow disease progression, decrease pain, and may even prevent disability. Thus, adherence behaviors are important to understand. Estimates of nonadherence to medications for arthritis patients are alarmingly high- as much as 60%. Until the recent advent of microelectronic monitoring devices, the measurement of adherence behaviors was unreliable and based on verbal estimates or pill counts. In addition to problems with unreliable measurement, little attention had been paid to the relationship of cognitive ability factors to nonadherence. This is surprising, because it is likely that problems in understanding and remembering a medication regimen contribute to nonadherence, particularly in elderly adults who may experience age-related declines in comprehension and memory processes. The general goal of this proposal is to understand the contribution of age-related comprehension and memory problems to medication nonadherence and to determine effective forms of cognitive interventions to improve adherence.
The specific aims of the proposal are as follows: (1) Novel microelectronic devices will be used to record adherence behaviors accurately in arthritis patients for the first time and compared to more traditional measures. (Year 1-2); (2) A complete theoretical framework for understanding adherence behaviors in rheumatoid and osteoarthritis patients will be developed, using the model proposed by Leventhal and Cameron (1987). The model will focus on cognitive ability variables in addition to variables suggested by Leventhal and Cameron which include age, patient beliefs, social support and disease factors, using structural equation models (Years 3-5). (3) A range of cognitive prostheses or interventions will be developed and tested that are designed to (a) improve comprehension of medication information; (b) provide memory support for the medication information; (c) provide prospective memory assistance--remembering to take medication at the right time (Year 3-5). (4) Detailed, specific adherence data will be collected for two months from each subject, which will permit the description of nonadherence patterns, the differentiation of these patterns for drug type, disease state, dosage schedules, as well as the relationship of these valuables to cognitive ability variables and belief variables--information of great use to practicing clinicians (Year 3-5). (5) Finally, the relationship between adherence to a medication regimen and subjective well-being for rheumatoid and osteoarthritis patients will be investigated directly (Year 2-3)--an important but neglected topic.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
7R01AG009868-05
Application #
2051131
Study Section
Human Development and Aging Subcommittee 3 (HUD)
Project Start
1992-02-01
Project End
1997-01-31
Budget Start
1995-09-01
Budget End
1996-01-31
Support Year
5
Fiscal Year
1995
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Other Health Professions
Type
Schools of Medicine
DUNS #
791277940
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Brown, Scott C; Park, Denise C (2003) Theoretical models of cognitive aging and implications for translational research in medicine. Gerontologist 43 Spec No 1:57-67
Martin, Mike; Park, Denise C (2003) The Martin and Park Environmental Demands (MPED) Questionnaire: psychometric properties of a brief instrument to measure self-reported environmental demands. Aging Clin Exp Res 15:77-82
Brown, Scott C; Glass, Jennifer M; Park, Denise C (2002) The relationship of pain and depression to cognitive function in rheumatoid arthritis patients. Pain 96:279-84
Watkins, K W; Shifren, K; Park, D C et al. (1999) Age, pain, and coping with rheumatoid arthritis. Pain 82:217-28
Park, D C; Hertzog, C; Leventhal, H et al. (1999) Medication adherence in rheumatoid arthritis patients: older is wiser. J Am Geriatr Soc 47:172-83
Shifren, K; Park, D C; Bennett, J M et al. (1999) Do cognitive processes predict mental health in individuals with rheumatoid arthritis? J Behav Med 22:529-47