Liver cancer (LC) continues to rise, partially due to limited resources for prevention. To test the precision public health (PPH) hypothesis that fewer areas in need of LC prevention could be identified by combining existing surveillance data, we compared the sensitivity/specificity of standard recommendations to target geographic areas using U.S. Census demographic data only (percent (%) Hispanic, Black, and those born 1950–1959) to an alternative approach that couples additional geospatial data, including neighborhood socioeconomic status (nSES), with LC disease statistics. Pennsylvania Cancer Registry data from 2007-2014 were linked to 2010 U.S. Census data at the Census tract (CT) level. CTs in the top 80th percentile for 3 standard demographic variables, %Hispanic, %Black, %born 1950–1959, were identified. Spatial scan statistics (SatScan) identified CTs with significantly elevated incident LC rates (p-value<0.05), adjusting for age, gender, diagnosis year. Sensitivity, specificity, and positive predictive value (PPV) of a CT being located in an elevated risk cluster and/or testing positive/negative for at least one standard variable were calculated. nSES variables (deprivation, stability, segregation) significantly associated with LC in regression models (p < 0.05) were systematically evaluated for improvements in sensitivity/specificity. 9,460 LC cases were diagnosed across 3,217 CTs. 1,596 CTs were positive for at least one of 3 standard variables. 5 significant elevated risk clusters (CTs = 402) were identified. 324 CTs were positive for a high risk cluster AND standard variable (sensitivity = 92%; specificity = 37%; PPV = 17.4%). Incorporation of 3 new nSES variables with one standard variable (%Black) further improved sensitivity (93%), specificity (62.9%), and PPV (26.3%). We introduce a quantitative assessment of PPH by applying established sensitivity/specificity assessments to geospatial data. Coupling existing disease cluster and nSES data can more precisely identify intervention targets with a liver cancer burden than standard demographic variables. Thus, this approach may inform prioritization of limited resources for liver cancer prevention.

Background: Hepatitis B virus (HBV) infection disproportionately affects Asian Americans in the United States, while this population faces low adherence to HBV treatment. Using the information–motivation–behavioral skills model (IMB), the study aims to examine medication adherence and persistence among Chinese and Vietnamese people with HBV. Methodology: Study participants were recruited between March 2019 and March 2020 and were enrolled through multiple recruitment approaches in the Greater Philadelphia Area and New York City. The study is an assessment of the baseline data on medication adherence, HBV-related knowledge, motivation of HBV medication treatment, self-efficacy about HBV medication treatment, and socioeconomic status. Results: Among 165 participants, 77.6% were Chinese and 22.4% were Vietnamese Americans. HBV-related knowledge/information, motivation, and self-efficacy were all positively associated with having medium/high medication adherence. Multilevel mixed-effects generalized linear regression revealed that living more than 10 years in the U.S. (OR = 4.24; p = 0.028) and greater information–knowledge about HBV (OR = 1.46; p = 0.004) were statistically associated with higher odds of medium/high medication adherence. Moreover, greater HBV-related knowledge/information (OR = 1.49; p = 0.023) and greater motivation towards HBV treatment adherence (OR = 1.10; p = 0.036) were both associated with a higher likelihood of medication persistence. Conclusion: Our findings provided significant implications in designing behavioral interventions focused on self-efficacy, information, and motivation to promote better medication adherence among Asian Americans living with HBV.

Background: Although Asian Americans make up 6% of the U.S. population, they account for 58% of Americans with chronic hepatitis B (CHB). Yet, adherence to monitoring and antiviral treatment guidelines among Asian American CHB patients remains suboptimal. Methods: The purpose of this study was to evaluate the efficacy of a multicomponent intervention on adherence to CHB monitoring among Asian Americans with CHB. The intervention components included virtual patient education, patient navigation, and mobile health reminders delivered by bilingual community health educators. Chi-square test and t-test were used to compare demographic characteristics and two CHB measures: CHB clinical follow-up and CHB laboratory monitoring by the time of the 12-month follow-up assessment. A generalized linear mixed-effects model (GLMM) was fitted to assess the effectiveness of the intervention. Results: The study sample consisted of 358 Chinese and Vietnamese Americans living with CHB, including 181 in the intervention group and 177 in the control group. The intervention group had a significantly higher rate of CHB clinical follow-up (86.2%) and CHB laboratory monitoring (79.0%) than did the control group (54.2% and 45.2%, respectively). Results of the GLMM showed significant intervention effects on CHB clinical follow-up (odds ratio = 7.35, 95% confidence interval = 4.06–13.33) and CHB laboratory monitoring (odds ratio = 6.60, 95% confidence interval = 3.77–11.56) at the 12-month follow-up assessment. Conclusion: The multicomponent intervention was effective in improving adherence to CHB monitoring among Asian Americans. Additional implementation research is needed to better understand and apply effective interventions to other underserved populations.

Many neighborhood socioeconomic index measures (nSES) that capture neighborhood deprivation exist but the impact of measure selection on liver cancer (LC) geographic disparities remains unclear. We introduce a Bayesian geoadditive modeling approach to identify clusters in Pennsylvania (PA) with higher than expected LC incidence rates, adjusted for individual-level factors (age, sex, race, diagnosis year) and compared them to models with 7 different nSES index measures to elucidate the impact of nSES and measure selection on LC geospatial variation. LC cases diagnosed from 2007–2014 were obtained from the PA Cancer Registry and linked to nSES measures from U.S. census at the Census Tract (CT) level. Relative Risks (RR) were estimated for each CT, adjusted for individual-level factors (baseline model). Each nSES measure was added to the baseline model and changes in model fit, geographic disparity and state-wide RR ranges were compared. All 7 nSES measures were strongly associated with high risk clusters. Tract-level RR ranges and geographic disparity from the baseline model were attenuated after adjustment for nSES measures. Depending on the nSES measure selected, up to 60% of the LC burden could be explained, suggesting methodologic evaluations of multiple nSES measures may be warranted in future studies to inform LC prevention efforts.

Background: Compared to non-Hispanic whites, Asian Americans are 60% more likely to die from the disease. Doctor visitation for chronic hepatitis B (CHB) infection every six months is an effective approach to preventing liver cancer. Methods: This study utilized baseline data from an ongoing randomized controlled clinical trial aimed at improving long-term adherence to CHB monitoring/treatment. Guided by the information-motivation-behavioral skills (IMB) model, we examined factors associated with CHB monitoring adherence among Asian Americans with CHB. Multivariable logistic regression was conducted to test the associations. Results: The analysis sample consisted of 382 participants. Multivariable logistic regression showed that HBV knowledge (OR = 1.24, p < 0.01) and CHB-management motivation (OR = 1.06, p < 0.05) are significant predictors of having a doctor’s visit in the past six months. Both factors were positively associated with the likelihood of having had blood tests for HBV in the past six months. Conclusion: We found that greater HBV-related knowledge and CHB-management motivation are significantly associated with performing CHB-monitoring behaviors in the past six months. The findings have critical implications for the development and implementation of evidence-based interventions for CHB monitoring and liver cancer prevention in the Asian American community.

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.