Abstract PO-035: Knowledge, motivation, and mental health: Factors associated with adherence to Hepatitis B medication among underserved Asian Americans

Autor: Aisha Bhimla, Lin Zhu, Wenyue Lu, Sarit Golub, Chibuzo Enemchukwu, Elizabeth Handorf, Yin Tan, Minhhuyen T. Nguyen, Min Qi Wang, Grace X Ma
Rok vydání: 2022
Předmět:
Zdroj: Cancer Epidemiology, Biomarkers & Prevention. 31:PO-035
ISSN: 1538-7755
1055-9965
Popis: Introduction: Chronic Hepatitis B (CHB) Virus disproportionately affects Asian Americans, where they represent 6% of the total United States (U.S.) population but make up 58% of Hepatitis B Virus (HBV)-linked hepatocellular carcinoma (HCC) cases. HBV is the leading risk factor for developing HCC. Vietnamese and Chinese Americans suffer from disproportionate amounts of HBV infections as they represent foreign born immigrants that have come from countries with endemic HBV levels. The consequences of non-adherence to medication among is increased virological failure and a higher risk of disease progression to CHB leading to conditions such as cirrhosis as well as HCC. Understanding what factors contribute to medication adherence can be crucial for providing appropriate support for maintaining long-term treatment adherence and sustaining a virological response through interventions and strategies for high-risk populations affected by HBV. This study aims to examine the sociodemographic and psychosocial predictors of low versus medium/high adherence to medication among a community-based sample of Chinese and Vietnamese HBV infected patients. Methods: Study participants were comprised of 382 Asian American CHB patients, including 298 (78.01%) Chinese Americans and 84 (21.99%) Vietnamese Americans. Study participants were recruited between March 2019 to March 2020 and were enrolled through multiple recruitment approaches in the Greater Philadelphia Area and New York City regions. This presentation reports data from the study baseline survey with measures that included medication adherence measured by the Morisksy Medication Adherence Scale, knowledge regarding HBV diagnosis, prevention and treatment, motivation of HBV medication treatment, self-efficacy about HBV medication treatment, depression, and socioeconomic status. Multivariable logistic regression model was used, controlling for recruitment source and clustering by site. Results: Multivariable logistic regression analysis revealed that with regards to sociodemographic predictors, living longer in the U.S. (OR=4.46; 95% CI: 1.23, 16.14; p=0.023), and greater English proficiency characterized as speaking English well or very well were associated with greater odds of medium/high medication adherence (OR=0.31; 95% CI: 0.10, 0.89; p=0.030). With regards to psychosocial predictors, greater knowledge about HBV diagnosis, prevention, and treatment was associated with greater odds of medication adherence (OR=1.46; 95% CI: 1.16, 1.83, p=0.025). Additionally, greater depression score was associated with lower odds of medium/high medication adherence (OR=0.88; 95% CI: 0.78, 0.98, p=0.025). Conclusion: The study findings suggested a need for intervention regarding medication treatment and tertiary prevention and management of CHB among underserved Asian Americans. Furthermore, the association between depression and medication adherence suggests the need for psychological interventions to enhance mental health outcomes and quality of life to potentially improve or maintain medication adherence. Citation Format: Aisha Bhimla, Lin Zhu, Wenyue Lu, Sarit Golub, Chibuzo Enemchukwu, Elizabeth Handorf, Yin Tan, Minhhuyen T. Nguyen, Min Qi Wang, Grace X Ma. Knowledge, motivation, and mental health: Factors associated with adherence to Hepatitis B medication among underserved Asian Americans [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-035.
Databáze: OpenAIRE
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