Online Program

Using Community-Based Data Collection to Augment HBV Prevalence Estimates in Asian and Pacific Islander Communities in Philadelphia

Tuesday, November 3, 2015 : 5:30 p.m. - 5:50 p.m.

Chari Cohen, DrPH, MPH, Department of Public Health Research, Hepatitis B Foundation, Doylestown, PA
Kuan-Lung Daniel Chen, MPH, CPH, Department of Public Health Research, Hepatitis B Foundation, Doylestown, PA
Pavitri Dwivedi, MPH, Hepatitis B Foundation, Doylestown, PA
Joan Block, RN, BSN, Hepatitis B Foundation, Doylestown, PA
A.a. Evans, ScD, School of Public Health, Drexel University, Philadelphia, PA
Background/Significance: Chronic hepatitis B (CHB) is a serious liver infection caused by the hepatitis B virus (HBV). Two million people in the US have CHB, of which 50% are of API descent, and 25% will die prematurely of cirrhosis or liver cancer if unmanaged. Up to 75% of infected APIs in the U.S. remain unaware of their CHB, putting them at greater risk of morbidity and mortality. Due to the lack of systematic surveillance, and the lack of API inclusion in surveillance, CHB infection rates among APIs remain dramatically underestimated.

Purpose: This study proposes community-based data collection to augment existing surveillance. We collected individual-level, disaggregated CHB data on APIs in Philadelphia to provide community-based estimates of prevalence with critical information on associated risk factors.

Methods: Community-based HBV screenings were conducted in high-risk neighborhoods. An IRB-approved survey collected information on demographics, healthcare usage, and past/family history of CHB. Blood samples confirmed HBV infection status. Data were analyzed using SAS 9.3. Descriptive statistics, frequency analysis, and logistic regression were used to describe the participant population and determine risk factors associated with HBV infection, susceptibility and linkage to care.

Results: Of 2,322 people, 58% were female; 97% were foreign-born; 87% were limited-English proficient; 36% had health insurance; 3% knew of a family member having HBV; 19% reported being previously screened; 7% tested positive for infection; and 66% were protected. A final risk model was built based using logistic regression.

Discussion: Data collected at community events, in addition to routinely-collected surveillance data, can help understand the picture of local disease prevalence and healthcare usage among APIs. These data will help us develop more successful targeted interventions to address the needs of the community. The data can also be used for local and national advocacy, to help prioritize API health disparities for the future.

Learning Areas:

Protection of the public in relation to communicable diseases including prevention or control
Public health or related research

Learning Objectives:
Describe how to use a community approach to collecting individual-level data in order to augment local disease prevalence estimates. Identify risk factors associated with chronic hepatitis B infection in Asian and Pacific Islander communities in Philadelphia.

Keyword(s): Asian and Pacific Islanders, Hepatitis B

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been conducting health disparities and community-based research in Asian and Pacific Islander communities for over 15 years, and I served as the principal investigator on this project.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.