| Literature DB >> 33026148 |
Lana J Sargent1,2,3, Marissa Mackiewicz2,3,4, Youssef Roman2,4, Ana Diallo1,3, Sally Russell1, Katherine Falls1, Kristin M Zimmerman2,4,5, Dave L Dixon4,5, Elizabeth Prom-Wormley3,6, Sarah Hobgood7, Sarah K Lageman8, Faika Zanjani3,9, Elvin T Price2,3,4.
Abstract
Older adults (i.e., 60 years and older), are the leading consumers of medications, and consequently are suffering the most from medication-related adverse events. Not only are older adults the largest consumers of medications, they are more likely to experience an adverse drug event contributing to increased hospitalization, utilization of emergency medical services, and mortality. Translational Approaches to Personalized Health (TAPH) is a transdisciplinary team of researchers conducting community-engaged participatory research focused on the discovery and translation of pharmacogenomic (PGx) data to improve health outcomes. Underserved and ethnically diverse older adults living in urban settings are significantly under-represented in PGx studies. To address the issue of under-representation, our study enrolls older African American adults into a community-based PGx study. Therefore, we will characterize the frequency of actionable PGx genotypes and identify novel PGx response genes in our cohort of older community dwelling African Americans. The translational component of our work is to use the PGx findings to improve therapeutic outcomes for medication management in older adults. Such findings will serve as a foundation for translational PGx studies aimed at improving medication efficacy and safety for older adults. In this article, we describe the process for launching the TAPH collaborative group, which includes the transdisciplinary team, community-engaged participatory research model, study measures, and the evaluation of PGx genes.Entities:
Mesh:
Year: 2020 PMID: 33026148 PMCID: PMC7993264 DOI: 10.1111/cts.12885
Source DB: PubMed Journal: Clin Transl Sci ISSN: 1752-8054 Impact factor: 4.689
Figure 1Translational approach to personalized health (TAPH) collaborative process. PGx, pharmacogenomic; RHWP, Richmond Health and Wellness Program. The T.A.P.H. research team works synergistically with iCubed, health service delivery and community partners to engage older adults in sustainable programs of research. T.A.P.H. oversees the engagement of providers and community members in education and participation in PGx research.
Figure 2Richmond Health and Wellness Program participant self‐report of medication management.
Figure 3Richmond Health and Wellness Program participant use of wellness center for medication management.
Figure 4US Food and Drug Administration (FDA) required cytochrome P450 pharmacogenomic (PGx) statements. Note: A large percentage of FDA mandated PGx statements with medication labels are related to CYP450 genetics.
Study instruments and collection
| Participant baseline visit | Participant follow‐up visit | Healthcare professional enrollment |
|---|---|---|
| PGx saliva sample collection | Participant PGx counseling | Provider PGx counseling |
| Demographics | Participant interest in PGx | Healthcare professional PGx survey |
| Medication history | ||
| PHQ‐4 | ||
| Frailty index | ||
| Substance use profile | ||
| MMSE‐2 | ||
| NIH cognitive toolbox | ||
| Patient‐provider satisfaction | ||
| Participant knowledge in PGx |
Study instruments included baseline assessment, taking 60–90 minutes to complete. Study includes two time points, initial data collection and follow‐up education.
NIH, National Institutes of Health; MMSE‐2, Mini‐Mental State Exam‐2; PGx, pharmacogenomic; PHQ‐4, Patient Health Questionnaire‐4.
TAPH participant characteristics
| Age (mean, range, SD*) | 69 (60–80) | 5.9 |
|---|---|---|
| Sex | Total N | % |
| Male | 35 | 44.3 |
| Female | 44 | 55.7 |
| Marital status | ||
| Married | 3 | 3.8 |
| Single‐never married | 28 | 35.4 |
| Divorced or separated | 30 | 38.0 |
| Partnered‐living together | 1 | 1.3 |
| Widowed | 17 | 21.5 |
| Race | ||
| American Indian or Alaska Native | 1 | 1.3 |
| Black or African American | 56 | 70.9 |
| White | 17 | 21.5 |
| Asian | 0 | 0 |
| Unknown or not reported | 1 | 1.3 |
| Other | 4 | 5.1 |
| Ethnicity | ||
| Hispanic or Latino/a | 3 | 3.8 |
| Non‐Hispanic or Latino/a | 76 | 96.2 |
| Education | Total N | % |
| < 8 grade | 6 | 7.6 |
| High school graduate (not GED) or less | 38 | 48.1 |
| Started or completed college | 35 | 44.3 |
| Income | ||
| < $10,000 | 40 | 50.6 |
| Between $10,000 and $14,999 | 30 | 38.0 |
| Between $15,000 and $29,999 | 5 | 6.3 |
| Between $30,000 and $44,999 | 0 | 0 |
| Declined | 1 | 1.3 |
| Smoking | ||
| Current | 28 | 35.4 |
| Never | 26 | 32.9 |
| Former smoker | 25 | 31.6 |
GED, General Educational Development; TAPH, Translational Approaches to Personalized Health.