Abstract
BackgroundHepatitis C virus (HCV) infection is one of the main causes of liver cancer and imposes an enormous social and economic burden. The blood-borne virus screening policy for preventing iatrogenic infections renders hospitals important for identifying individuals infected with hepatitis C. Therefore, we aimed to investigate the establishment of a multi-disciplinary cooperation model in medical institutions to leverage the screening results of patients with hepatitis C. Our objective is to ensure that patients receive timely and effective diagnosis and treatment, thereby enabling the elimination of hepatitis C by 2030.MethodA multi-disciplinary cooperation model was established in October 2021. This retrospective study was based on the establishment of antibody-positive and HCV RNA-positive patient databases. A Chi-square test was used to compare the HCV RNA confirmation rate in anti-HCV-positive patients, as well as the hepatitis C diagnosis rate and treatment rate in RNA-positive patients before and after the multi-disciplinary cooperation. A multivariable logistic regression was used to analyse the factors affecting the treatment of patients with hepatitis C. In addition, we examined changes in the level of hepatitis C knowledge among medical staff.ResultsAfter the implementation of the multi-disciplinary cooperation model, the RNA confirmation rate of hepatitis C antibody-positive patients increased from 36.426% to 88.737%, the diagnostic accuracy rate of RNA-positive patients increased from 67.456% to 98.113%, and the treatment rate of patients with hepatitis C increased from 12.426% to 58.491%. Significant improvements were observed among the clinicians regarding their ability to understand the characteristics of hepatitis C (93.711% vs. 58.861%), identify people at high risk (94.340% vs. 53.797%), manage patients with hepatitis C after diagnosis (88.679% vs. 67.089%), and effectively treat hepatitis C (84.277% vs. 51.899%). Multi-disciplinary cooperation in medical institutions was the most important factor for patients to undergo HCV treatment (odds ratio: 0.024, 95% confidence interval: 0.007–0.074).ConclusionsThis study showed that the use of a multi-disciplinary cooperation model to utilise the results of HCV antibody screening fully in patients through further tracking, referral, and treatment may facilitate the detection and treatment of patients with hepatitis C and accelerate the elimination of HCV in China.
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