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Hepatitis B screening among Chinese Americans: a structural equation modeling analysis

BACKGROUND: Hepatitis B Virus (HBV) disproportionately affects new immigrants from endemic regions such as China. Untreated infections increase health risks for liver diseases including cancer. Yet most of those infected are unaware of their disease limiting prevention and early treatment options. T...

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Autores principales: Ma, Grace X, Zhang, Guo Yolanda, Zhai, Shumenghui, Ma, Xiang, Tan, Yin, Shive, Steven E, Wang, Min Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357149/
https://www.ncbi.nlm.nih.gov/pubmed/25880870
http://dx.doi.org/10.1186/s12879-015-0854-7
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author Ma, Grace X
Zhang, Guo Yolanda
Zhai, Shumenghui
Ma, Xiang
Tan, Yin
Shive, Steven E
Wang, Min Qi
author_facet Ma, Grace X
Zhang, Guo Yolanda
Zhai, Shumenghui
Ma, Xiang
Tan, Yin
Shive, Steven E
Wang, Min Qi
author_sort Ma, Grace X
collection PubMed
description BACKGROUND: Hepatitis B Virus (HBV) disproportionately affects new immigrants from endemic regions such as China. Untreated infections increase health risks for liver diseases including cancer. Yet most of those infected are unaware of their disease limiting prevention and early treatment options. The purpose of this community based study was to evaluate a heuristic model identifying factors contributing to Hepatitis B (HBV) screening among Chinese Americans. METHODS: A cross-sectional design included a sample of 924 Chinese men and women 18 years of age and older of which 718 had complete data for final analysis. Confirmatory factor analysis verified conceptual indicators including access/satisfaction with health care and enabling, predisposing, cultural, and health belief factors. Structural equation modeling was used to identify direct and indirect predictors of Hepatitis B screening. RESULTS: Bivariate analysis revealed that Chinese respondents who were never screened for HBV were significantly more likely to be below age 40 (69.8%), male (69.2%), had less than a high school education (76.4%), with less than 6 years living in the US (72.8%) and had no health insurance (79.2%). The final model identified enabling factors (having health insurance, a primary health care provider to go to when sick and more frequent visits to a doctor in the last year) as the strongest predictor of HBV screening (coefficient = 0.470, t = 7.618, p < .001). Predisposing factors (education variables) were also significantly related to HBV screening. Cultural factors and Satisfaction with Health care were associated with HBV screening only through their significant relationships with enabling factors. CONCLUSIONS: The tested theoretical model shows promise in predicting HBV testing among Chinese Americans. Increasing access to health care by expanding insurance options and improving culturally sensitivity in health systems are critical to reach new immigrants like Chinese for HBV screening. Yet such strategies are consistent with DHHS Action plan for the Prevention and Treatment of Viral Hepatitis. Implementing community-based strategies like partnering with relevant Community-Based Organizations are important for meeting HBV policy targets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-015-0854-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-43571492015-03-13 Hepatitis B screening among Chinese Americans: a structural equation modeling analysis Ma, Grace X Zhang, Guo Yolanda Zhai, Shumenghui Ma, Xiang Tan, Yin Shive, Steven E Wang, Min Qi BMC Infect Dis Research Article BACKGROUND: Hepatitis B Virus (HBV) disproportionately affects new immigrants from endemic regions such as China. Untreated infections increase health risks for liver diseases including cancer. Yet most of those infected are unaware of their disease limiting prevention and early treatment options. The purpose of this community based study was to evaluate a heuristic model identifying factors contributing to Hepatitis B (HBV) screening among Chinese Americans. METHODS: A cross-sectional design included a sample of 924 Chinese men and women 18 years of age and older of which 718 had complete data for final analysis. Confirmatory factor analysis verified conceptual indicators including access/satisfaction with health care and enabling, predisposing, cultural, and health belief factors. Structural equation modeling was used to identify direct and indirect predictors of Hepatitis B screening. RESULTS: Bivariate analysis revealed that Chinese respondents who were never screened for HBV were significantly more likely to be below age 40 (69.8%), male (69.2%), had less than a high school education (76.4%), with less than 6 years living in the US (72.8%) and had no health insurance (79.2%). The final model identified enabling factors (having health insurance, a primary health care provider to go to when sick and more frequent visits to a doctor in the last year) as the strongest predictor of HBV screening (coefficient = 0.470, t = 7.618, p < .001). Predisposing factors (education variables) were also significantly related to HBV screening. Cultural factors and Satisfaction with Health care were associated with HBV screening only through their significant relationships with enabling factors. CONCLUSIONS: The tested theoretical model shows promise in predicting HBV testing among Chinese Americans. Increasing access to health care by expanding insurance options and improving culturally sensitivity in health systems are critical to reach new immigrants like Chinese for HBV screening. Yet such strategies are consistent with DHHS Action plan for the Prevention and Treatment of Viral Hepatitis. Implementing community-based strategies like partnering with relevant Community-Based Organizations are important for meeting HBV policy targets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12879-015-0854-7) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-08 /pmc/articles/PMC4357149/ /pubmed/25880870 http://dx.doi.org/10.1186/s12879-015-0854-7 Text en © Ma et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ma, Grace X
Zhang, Guo Yolanda
Zhai, Shumenghui
Ma, Xiang
Tan, Yin
Shive, Steven E
Wang, Min Qi
Hepatitis B screening among Chinese Americans: a structural equation modeling analysis
title Hepatitis B screening among Chinese Americans: a structural equation modeling analysis
title_full Hepatitis B screening among Chinese Americans: a structural equation modeling analysis
title_fullStr Hepatitis B screening among Chinese Americans: a structural equation modeling analysis
title_full_unstemmed Hepatitis B screening among Chinese Americans: a structural equation modeling analysis
title_short Hepatitis B screening among Chinese Americans: a structural equation modeling analysis
title_sort hepatitis b screening among chinese americans: a structural equation modeling analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4357149/
https://www.ncbi.nlm.nih.gov/pubmed/25880870
http://dx.doi.org/10.1186/s12879-015-0854-7
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