Cheryl Wisseh

Dr. Cheryl Wisseh


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 October 2020 in Journal of Racial and Ethnic Health Disparities
Verified
Journal Article
Open access
PDF file
CWCheryl Wisseh
Cheryl Wisseh
KHKristin Hildreth
Kristin Hildreth
JMJazalene Marshall
Jazalene Marshall
ATAshton Tanner
Ashton Tanner
MBMohsen Bazargan
Mohsen Bazargan
PRPaul Robinson
Paul Robinson
As medications are commonly used to prevent and mitigate chronic diseases and their associated complications and outcomes, limited geographic access to medications in communities that are already plagued with health inequity is a growing concern. This is especially important because low-income urban minority communities often have high prevalence and incidence of cardiometabolic and respiratory chronic conditions. Community pharmacy deserts have been established in Chicago, New York, and other locales. In part because the definition was originally adapted from the concept of food deserts, existing studies have either utilized the distance of 1 mile or greater to the nearest community pharmacy solely, or used distance along with the same predefined social indicator thresholds that define food deserts (i.e., income and vehicle ownership), to define and identify areas as pharmacy deserts. No full analysis has been conducted of the social determinants that define and characterize medication shortage areas within a given locale, even though medication and food are usually accessed independently. Therefore, to address this gap in the literature, this study was designed to identify all potential “pharmacy deserts” in Los Angeles County based on distance alone and then characterize them by their social determinants of health (SDOH) indicators. Geographic pharmacy deserts were identified as census tracts where the nearest community pharmacy was 1 mile or more away from a tract centroid. K-means clustering was applied to group pharmacy deserts based on their composition of social determinants of health indicators. Twenty-five percent (571/2323) of LA County census tracts were pharmacy deserts and 75% (1752/2323) were pharmacy non-deserts. Within the desert areas, two statistically distinct groups of pharmacy deserts (type one and type two) emerged from the analysis. In comparison to type two pharmacy deserts, type one pharmacy deserts were characterized by a denser population, had more renters, more residents that speak English as a second language, less vehicle ownership, more residents living under the federal poverty level, more Black and Hispanic residents, more areas with higher crime against property and people, and less health professionals to serve the area. Residing in type one desert areas, potentially compounds the geographic shortage of pharmacies and pharmacy services. As such, residents in Los Angeles County pharmacy deserts might benefit greatly from equitable, innovative, community-based interventions that increase access to medications, pharmacy services, and pharmacists.

13 November 2022 in Journal of the American Pharmacists Association
Verified
Journal Article
Open access
DNDing Quan Ng
Ding Quan Ng
SJStanley Jia
Stanley Jia
CWCheryl Wisseh
Cheryl Wisseh
CCChristine Cadiz
Christine Cadiz
MNMegan Nguyen
Megan Nguyen
KHKeri Hurley-Kim
Keri Hurley-Kim
The National Institutes of Health All of Us (AoU) Research Program is currently building a database of 1million+ adult subjects. With it, we describe the characteristics of those with documented vaccinations. To describe the sociodemographic, health status, and lifestyle factors associated with vaccinations. This is a retrospective study involving data from the AoU program (R2020Q4R2, N = 315,297). Five vaccine cohorts [influenza, hepatitis B (HBV), pneumococcal <65 years old, pneumococcal ≥65 years old, and human papillomavirus (HPV)] were generated based on vaccination history. The influenza cohort comprised participants with documented influenza vaccinations in electronic health records (EHRs) from September 2017 to May 2018. Other vaccine cohorts comprised participants with ≥1 lifetime record(s) of vaccination documented in the EHR by December 2018. The vaccine cohorts were compared to the overall AoU cohort. Descriptive statistics were generated using EHR- and survey-based sociodemographic, health, and lifestyle information. The SAMBA (0.9.0) R package was utilized to adjust for EHR selection and outcome misclassification biases to infer sources of disparity for pneumococcal vaccinations in older adults. Cohort counts were as follows: influenza (n = 15,346), HBV (n = 6323), pneumococcal <65 (n = 15,217), pneumococcal ≥65 (n = 15,100), and HPV (n = 2125). All vaccine cohorts had higher proportions of White and non-Hispanic/Latino participants compared to the overall AoU cohort. The largest differences were found in pneumococcal age ≥65, with 80.2% White participants compared to 52.9% in the overall study population. Multivariable analysis revealed that race/ethnic disparities in pneumococcal vaccination among older adults were explained by biological sex, income, health insurance, and education-related variables. Racial, ethnic, education, and income characteristics differ across the vaccine cohorts among AoU participants. These findings inform future utilization of large health databases in vaccine epidemiology research and emphasize the need for more targeted interventions that address differences in vaccine uptake.

9 June 2022 in JACCP: Journal of the American College of Clinical Pharmacy
Verified
Journal Article
Closed access
AOAya F. Ozaki
Aya F. Ozaki
CCChristine L. Cadiz
Christine L. Cadiz
KHKeri Hurley‐Kim
Keri Hurley‐Kim
CWCheryl Wisseh
Cheryl Wisseh
EKErin D. Knox
Erin D. Knox
ACAlexandre Chan
Alexandre Chan

26 May 2024 in Pharmacy
Verified
Journal Article
Open access
PDF file
CWCheryl Wisseh
Cheryl Wisseh
Edward AdinkrahEdward Adinkrah
Edward Adinkrah
LOLinda Opara
Linda Opara
SMSheila Melone
Sheila Melone
EUEmem Udott
Emem Udott
Magda ShaheenMagda Shaheen
Magda Shaheen
Type 2 diabetes mellitus (T2DM) management and glycemic control in underserved non-Hispanic Black adults presents with multifaceted challenges: balancing the optimal complexity of antihyperglycemic medications prescribed, limited medication access due to socioeconomic status, medication nonadherence, and high prevalence of cardiometabolic comorbidities. This single-center, cross-sectional, retrospective chart analysis evaluated the association of Medication Regimen Complexity (MRC) with cardiometabolic outcomes (glycemic, atherogenic cholesterol, and blood pressure control) among non-Hispanic Black adults with type 2 diabetes. Utilizing 470 independent patient electronic health records, MRC and other covariates were examined to determine their associations with cardiometabolic outcomes. Chi-square tests of independence and multiple logistic regression were performed to identify associations between MRC and cardiometabolic outcomes. Our findings indicate significant negative and positive associations between MRC and glycemic control and atherogenic cholesterol control, respectively. However, there were no associations between MRC and blood pressure control. As diabetes MRC was shown to be associated with poor glycemic control and improved atherogenic cholesterol control, there is a critical need to standardize interdisciplinary diabetes care to include pharmacists and to develop more insurance policy interventions that increase access to newer, efficacious diabetes medications for historically marginalized populations.

21 September 2026 in Journal of Immigrant and Minority Health
Verified
Journal Article
Open access
PDF file
CWCheryl Wisseh
Cheryl Wisseh
JLJaylen Lee
Jaylen Lee
MLMargarita Loeza
Margarita Loeza
LOLinda Opara
Linda Opara
LLLoan T. Le
Loan T. Le
Latino adults in South Los Angeles living with type 2 diabetes mellitus (T2DM) experience disproportionate cardiometabolic complications alongside structural barriers that influence medication regimen complexity (MRC) and medication access. During 2017–2022, diabetes treatment guidelines increasingly emphasized cardioprotective antihyperglycemic medications while concurrent federal and state policy changes influenced health coverage continuity and pharmacy access for underserved populations. The present study evaluated the association between diabetes specific MRC (DM MRC) and cardiometabolic outcomes (glycemic, atherogenic cholesterol and blood pressure control) among underserved Latino adults living with T2DM and examined the implications of these relationships for pharmacoequity within the context of medication access and health system design. A single-center, cross-sectional retrospective chart review was conducted among 342 adults receiving primary care at a federally qualified health center in South Los Angeles between January 2017 and October 2022. Logistic regression analyses revealed a significant association between higher DM MRC and lower likelihood of glycemic control. Participants with moderate and high DM MRC were less likely to achieve glycemic control compared to those with low DM MRC. No associations were observed between diabetes specific MRC and atherogenic cholesterol and blood pressure control. There was a low uptake of cardioprotective medications such as sodium glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists among the study population. Insurance status was also negatively and independently associated with glycemic control, highlighting the role of structural determinants and coverage related barriers in diabetes management. These findings suggest that DM MRC operates within a policy and pharmacoequity context in which insurance transitions, formulary restrictions, and administrative barriers may negatively impact access to evidence-based antihyperglycemic medications in structurally vulnerable populations. Pharmacist-integrated care models and policies that improve continuity of medication access and uptake of optimal diabetes medications may help reduce inequities in diabetes outcomes.

20 November 2025 in Journal of Interprofessional Education & Practice
Verified
Journal Article
Open access
SAStephanie Au
Stephanie Au
CWCheryl Wisseh
Cheryl Wisseh
Alisa WrayAlisa Wray
Alisa Wray
TNTiffany Nielsen
Tiffany Nielsen
NENana Entsuah-Boateng
Nana Entsuah-Boateng
CWCandice Whealon
Candice Whealon