Evidence map›Paper›PMID 37112808›Full record

ArticleViruses2023

Collaborative Referral Model for Hepatitis C Screening and Treatment in a Remote Mountainous Region of Taiwan during the COVID-19 Pandemic.

Chi-Ming Tai, Ming-Jong Bair, Tzu-Haw Chen, Cheng-Hao Tseng, Chih-Cheng Chen, Hung Lam, Ming-Lung Yu

Abstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chi-Ming TaiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 824, Taiwan.ORCID 0000-0002-1605-3516
Ming-Jong BairDivision of Gastroenterology, Department of Internal Medicine, Taitung Mackay Memorial Hospital, Taitung 950408, Taiwan.
Tzu-Haw ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung 824, Taiwan.
Cheng-Hao TsengDivision of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Cancer Hospital, I-Shou University, Kaohsiung 824, Taiwan.
Chih-Cheng ChenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Cancer Hospital, I-Shou University, Kaohsiung 824, Taiwan.
Hung LamLiouguei District Public Health Center, Kaohsiung 844, Taiwan.
Ming-Lung YuSchool of Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung 804, Taiwan.ORCID 0000-0001-8145-1900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-based screening for the hepatitis C virus (HCV) decreased during the COVID-19 pandemic. We developed a collaborative referral model between a primary clinic (Liouguei District Public Health Center, LDPHC) and a tertiary referral center to increase HCV screening and treatment uptake in a mountainous region of Taiwan. Once-in-a-lifetime hepatitis B and C screening services established by the Taiwan National Health Insurance were performed at LDPHC. Antibody-to-HCV (anti-HCV)-seropositive patients received scheduled referrals and took a shuttle bus to E-Da hospital for HCV RNA testing on their first visit. Direct-acting antiviral agents (DAAs) were prescribed for HCV-viremic patients on their second visit. From October 2020 to September 2022, of 3835 residents eligible for HCV screening in Liouguei District, 1879 (49%) received anti-HCV testing at LDPHC. The overall HCV screening coverage rate increased from 40% before referral to 69.4% after referral. Of the 79 anti-HCV-seropositive patients, 70 (88.6%) were successfully referred. Of the 38 HCV-viremic patients, 35 (92.1%) received DAA therapy, and 32 (91.4%) achieved sustained virological response. The collaborative referral model demonstrates a good model for HCV screening and access to care and treatment in a Taiwan mountainous region, even during the COVID-19 pandemic. Sustained referral is possible using this routine referral model.

Indexed as

COVID-19Hepatitis CHepatitis C, ChronicAntiviral AgentsHepacivirusHumansPandemicsReferral and ConsultationTaiwanAntiviral Agentsdirect-acting antiviraleliminationhepatitis Cprimary carereferral modelscreeningviral hepatitis

Identifiers

PMID37112808
PMCPMC10142212

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.