Dual strategy involving hospital-based study and community-based screening to eliminate hepatitis C in remote areas.

Chien-Hung Chen,Nien-Tzu Hsu, I-Chun Chen,Te-Sheng Chang, Shing Cheng, Shi-Yann Cheng, Hung-Ming Chen, Ming-Rong Harn, Chen-Kou Liu, Mao-Ting Yang, Shih-Lung Lu, Chun-Mei Tseng,Sheng-Nan Lu

Journal of the Formosan Medical Association = Taiwan yi zhi(2024)

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摘要
BACKGROUND:/Purpose: To achieve the World Health Organization goal of eliminating viral hepatitis by 2030, a key strategy in resource-limited areas is to identify the areas with high prevalence and to prioritize screening and treatment intervention. We hypothesized that a hospital-based laboratory database could be used to estimate the township- and village-specific anti-hepatitis C virus (HCV) prevalence. METHODS:Yunlin County Public Health Bureau has been collecting anti-HCV test data from eight major hospitals. Township- and village-specific screening testing rates and anti-HCV prevalence were calculated for residents 40 years or older. A township with a wide range of anti-HCV prevalence rates was selected for outreach universal screening and for validating the village-specific prevalence of anti-HCV in the analysis of the data from the hospitals. RESULTS:The overall anti-HCV screening testing rate in Yunlin County was 30.4 %, whereas the anti-HCV prevalence rate for persons 40 years or older was 15.4 %. The village-specific anti-HCV prevalence rates ranged from 3.8 % to 85.8 %. Community-based screening was conducted in Kouhu Township. The village-specific anti-HCV prevalence rates ranged from 0 % to 18.8 %. Three of the four villages had the highest village-specific anti-HCV prevalence in the community-based study and the hospital-based study. Additionally, 95.8 % of the new HCV cases detected by universal screening received anti-HCV therapy. CONCLUSION:The hospital-based database provided a framework for identifying the villages with high anti-HCV prevalence. Additionally, community-based universal screening should be prioritized for villages with high prevalence in hospital-based databases.
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