Literature DB >> 30654067

Outcomes of treatment for hepatitis C in prisoners using a nurse-led, statewide model of care.

Timothy Papaluca1, Lucy McDonald1, Anne Craigie1, Annabelle Gibson1, Paul Desmond1, Darren Wong1, Rebecca Winter2, Nick Scott3, Jessica Howell4, Joseph Doyle5, Alisa Pedrana2, Andrew Lloyd6, Mark Stoove3, Margaret Hellard3, David Iser7, Alexander Thompson8.   

Abstract

BACKGROUND & AIMS: Treatment programs for people who inject drugs (PWID), including prisoners, are important for achieving hepatitis C elimination targets. There are multiple barriers to treatment of hepatitis C in prisons, including access to specialist physicians, testing and antiviral therapy, short prison sentences, and frequent inter-prison transfer. We aimed to assess the effectiveness of a nurse-led model of care for the treatment of prisoners with hepatitis C.
METHODS: A statewide program for assessment and management of hepatitis C was developed in Victoria, Australia to improve access to care for prisoners. This nurse-led model of care is supported by telemedicine to provide decentralized care within all prisons in the state. We prospectively evaluated the feasibility and efficacy of this nurse-led model of care for hepatitis C within the 14 adult prisons over a 13-month period. The primary endpoint was sustained virological response at post-treatment week 12 (SVR12) using per protocol analysis.
RESULTS: There were 416 prisoners included in the analysis. The median age was 41 years, 90% were male, 50% had genotype 3 and 44% genotype 1 hepatitis C and 21% had cirrhosis. Injecting drug use was reported by 68% in the month prior to prison entry, 54% were receiving opioid substitution therapy, and 86% reported never previously engaging with specialist HCV care. Treatment duration was 8 weeks in 24%, 12 weeks in 59%, and 24 weeks in 17% of treatment courses. The SVR12 rate was 96% (301/313) per protocol. Inter-prison transfer occurred during 26% of treatment courses but was not associated with lower SVR12 rates. No treatment-related serious adverse events occurred.
CONCLUSION: Hepatitis C treatment using a decentralized, nurse-led model of care is highly effective and can reach large numbers of prisoners. Large scale prison treatment programs should be considered to support hepatitis C elimination efforts. LAY
SUMMARY: There is a high burden of hepatitis C infection among prisoners worldwide. Prisoners who continue to inject drugs are also at risk of developing new infections. For this reason, the prison setting provides an opportunity to treat those people at greatest risk of infection and to stop transmission to others. We developed a new method of providing hepatitis C treatment to prisoners, in which nurses rather than doctors assessed prisoners locally at each prison site. Treatment was safe and most prisoners were cured. Such programs will contribute greatly to achieving the World Health Organization's hepatitis C elimination goals. Crown
Copyright © 2019. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Direct acting antiviral; Elimination; Hepatitis C; People who inject drugs; Prisoner

Year:  2019        PMID: 30654067     DOI: 10.1016/j.jhep.2019.01.012

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  22 in total

Review 1.  Prisons: ignore them at our peril.

Authors:  Adeeba Kamarulzaman; Annette Verster; Frederick L Altice
Journal:  Curr Opin HIV AIDS       Date:  2019-09       Impact factor: 4.283

2.  Disparities in hepatitis C care across Canadian provincial prisons: Implications for hepatitis C micro-elimination.

Authors:  Nadine Kronfli; Camille Dussault; Sofia Bartlett; Dennaye Fuchs; Kelly Kaita; Kate Harland; Brandi Martin; Cindy Whitten-Nagle; Joseph Cox
Journal:  Can Liver J       Date:  2021-08-09

Review 3.  Can Telemedicine Optimize the HCV Care Cascade in People Who Use Drugs? Features of an Innovative Decentralization Model and Comparison with Other Micro-Elimination Strategies.

Authors:  Riccardo Nevola; Valerio Rosato; Vincenza Conturso; Pasquale Perillo; Teresa Le Pera; Ferdinando Del Vecchio; Davide Mastrocinque; Annalisa Pappalardo; Simona Imbriani; Augusto Delle Femine; Alessia Piacevole; Ernesto Claar
Journal:  Biology (Basel)       Date:  2022-05-24

Review 4.  Telemedicine and Health Disparities.

Authors:  Jennifer C Price; Dinee C Simpson
Journal:  Clin Liver Dis (Hoboken)       Date:  2022-01-28

5.  The Hepatitis C Continuum of Care Among HIV-Positive Persons with Heavy Alcohol Use in St. Petersburg, Russia.

Authors:  Maria A Corcorran; Natasha Ludwig-Baron; Debbie M Cheng; Dmitry Lioznov; Natalia Gnatienko; Gregory Patts; Kaku So-Armah; Elena Blokhina; Sally Bendiks; Evgeny Krupitsky; Jeffrey H Samet; Judith I Tsui
Journal:  AIDS Behav       Date:  2021-03-17

6.  Telemedicine: An Evolving Field in Hepatology.

Authors:  Cindy Piao; Norah A Terrault; Souvik Sarkar
Journal:  Hepatol Commun       Date:  2019-03-25

7.  Telemedicine and specialised consultations in prisons. The example of HCV chronic hepatitis.

Authors:  C Fernández Rodríguez; G Jiménez Galán
Journal:  Rev Esp Sanid Penit       Date:  2019

8.  Hepatitis C virus infection in EU/EEA and United Kingdom prisons: opportunities and challenges for action.

Authors:  Aya Olivia Nakitanda; Linda Montanari; Lara Tavoschi; Antons Mozalevskis; Erika Duffell
Journal:  BMC Public Health       Date:  2020-11-09       Impact factor: 3.295

Review 9.  Chronic Viral Hepatitis: Current Management and Future Directions.

Authors:  Albert Do; Nancy S Reau
Journal:  Hepatol Commun       Date:  2020-01-20

10.  Non-invasive fibrosis algorithms are clinically useful for excluding cirrhosis in prisoners living with hepatitis C.

Authors:  Timothy Papaluca; Anne Craigie; Lucy McDonald; Amy Edwards; Michael MacIsaac; Jacinta A Holmes; Matthew Jarman; Tanya Lee; Hannah Huang; Andrew Chan; Mark Lai; Vijaya Sundararajan; Joseph S Doyle; Margaret Hellard; Mark Stoove; Jessica Howell; Paul Desmond; David Iser; Alexander J Thompson
Journal:  PLoS One       Date:  2020-11-18       Impact factor: 3.240

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