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Background: Estimating the demand for HCV care cascade plays an important role in planning, monitoring, and assessing the performance of introducing a new community-based hepatitis C virus (HCV) elimination program but such an analytic and systematic approach has been barley addressed., Methods: A new collaborative care program for HCV elimination in the Changhua Community of Taiwan has been offered to a total of 895,353 residents since 2018. To grasp the variation of demand for HCV care cascade across demographic and geographic features in the planning stage, we applied the age-period-cohort spatial model to the antecedent anti-HCV survey enrolling 123,617 participants aged 30 years or older between 2005 and 2018. Based on this precise denominator, we then employed a "before-and-after" study design to routinely evaluate whether the WHO criteria of 90% RNA positive diagnosis and 80% successful treatments could be reached., Results: The overall demand for HCV care cascade was 4.28% (HCV infection) of the underlying population but a declining trend was noted. The early cohort had a higher demand, whereas the demand of the young cohort decreased with each passing year. The demand also differed by township. The demand, allowing for these variations, for antiviral treatment was 22,362, yielding the WHO target of 12,880 for achieving HCV elimination. With 11,844 successful treatments, the effectiveness of elimination has already reached 92% (11,844/12,880) by the end of 2022., Conclusions: The demand for HCV care cascade allows health care decision-makers to timely and properly assess the performance of a novel community-based collaborative care program in achieving HCV elimination., (© 2023. The Author(s).)

Background: Treating marginalized populations with HCV infection for elimination is faced with the challenge for the integration of HCV screening service offered for patients often moving across multiple settings. We envisaged a novel collaborative care approach to identify to what extent HCV patients overlapped between and within these multiple institutions and reported the findings of treatment coverage of these marginalized populations after HCV care cascades., Methods: We enrolled 7765 patients residing in the Changhua County, Taiwan offered with HCV screening from correctional institutions, HIV clinics, methadone clinics, and the existing HIV surveillance program (four subgroups including police-arrested people, probationers, non-injection drug user, and high-risk behavior people) between 2019 and 2020. The collaborative care and information were integrated through a teamwork of gastroenterologists, psychologists, infectious disease specialists, and nursing coordinators under the auspices of local health authority., Results: The overall participation rate in HCV screening was 92.65% (7194/7765). The prevalence rate was the highest in methadone clinics (90.17%) followed by correctional institutions (37.67%), HIV clinics (34.60%), and the surveillance program (18.14%). We found 25.41% (77/303) of methadone clinic patients, 17.65% (129/731) of HIV clinic patients, and various proportions for 44.09% (41/93) of deferred prosecuted or probationers under surveillance program were also recruited into other settings. Individuals' patient flow within setting was more frequent than that between setting. After calibrating the overlap of patient flow, a total of 1700 anti-HCV positives out of 4074 after screening were traced with available follow-up information to complete 92.52% treatment coverage of 1177 RNA-positives (77.23%) diagnosed from 1524 undergoing RNA testing with similar findings across multiple settings., Conclusion: A new collaborative integrated care was adopted for elucidating patient flow between and within multiple settings in order to calibrate the accurate demand for HCV care cascades and enhance HCV treatment coverage in marginalized populations., Competing Interests: Declaration of Competing Interest In the absence of conflicts for any author, we state that there are none to declare., (Copyright © 2023. Published by Elsevier Ltd.)

Rationale & Objective: Hemodialysis facilities are high-risk environments for the spread of hepatitis C virus (HCV). Eliminating HCV from all dialysis facilities in a community may be achieved more effectively under a collaborative care model., Study Design: Quality improvement study of multidisciplinary collaborative care teams including nephrologists, gastroenterologists, and public health practitioners., Setting & Participants: All dialysis patients in Changhua County, Taiwan were treated using an interdisciplinary collaborative care model implemented within a broader Changhua-Integrated Program to Stop HCV Infection (CHIPS-C)., Quality Improvement Activities: Provision of an HCV care cascade to fill 3 gaps, including screening and testing, diagnosis, and universal direct-acting antiviral (DAA) treatment implemented by collaborating teams of dialysis practitioners and gastroenterologists working under auspices of Changhua Public Health Bureau., Outcome: Outcome measures included quality indicators pertaining to 6 steps in HCV care ranging from HCV screening to treatment completion to cure., Analytical Approach: A descriptive analysis., Results: A total of 3,657 patients from 31 dialysis facilities were enrolled. All patients completed HCV screening. The DAA treatment initiation rate and completion rate were 88.9% and 94.0%, respectively. The collaborative care model achieved a cure rate of 166 (96.0%) of 173 patients. No virologic failure occurred. The cumulative treatment ratios for patients with chronic HCV infection increased from 5.3% before interferon-based therapy (2017) to 25.6% after restricted provision of DAA (2017-2018), and then to 89.1% after universal access to DAA (2019)., Limitations: Unclear impact of this collaborative care program on incident dialysis patients entering dialysis facilities each year and on patients with earlier stages of chronic kidney disease., Conclusions: A collaborative care model in Taiwan increased the rates of diagnosis and treatment for HCV in dialysis facilities to levels near those established by the World Health Organization., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)