A Health Belief Model Examination of Factors Related to Hepatitis B Screening Among African Immigrants in Philadelphia.
J Racial Ethn Health Disparities
; 2023 Oct 25.
Article
em En
| MEDLINE
| ID: mdl-37878235
ABSTRACT
Chronic hepatitis B infection is a leading cause of liver cancer worldwide. In the USA, African immigrants (AI) have high hepatitis B virus (HBV) infection rates but low HBV knowledge and screening rates. Research about HBV among AI living in Philadelphia is particularly limited. This study aims to assess barriers to and factors influencing HBV screening in the Philadelphia AI population. African and Caribbean-born adults in Greater Philadelphia were recruited for phone interviews at community health fairs hosted by the African Cultural Alliance of North America (ACANA) and the African Family Health Organization (AFAHO) in partnership with the Hepatitis B Foundation. Seventeen interviews were recorded, transcribed, and coded independently by two members of the research team using NVivo software. Themes and subthemes were created by analysis of the codes and arranged under Health Belief Model (HBM) concepts. Major perceived barriers included lack of HBV knowledge and awareness and cultural challenges related to health care access, preventive care, fear, and stigma. Participants recommended using community organizations and programs to spread awareness about HBV and serve as cues to action. In-person education was emphasized due to lack of access to and knowledge of technology such as Zoom. While HBV educational sessions have been implemented in this population, they have not been consistent or far-reaching. The results of this study can contribute to the implementation of a comprehensive AI-specific HBV education and screening program through partnerships with community organizations to ensure that all high-risk individuals in the Philadelphia area are screened.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
Base de dados:
MEDLINE
Idioma:
En
Revista:
J Racial Ethn Health Disparities
Ano de publicação:
2023
Tipo de documento:
Article