Clinical effectiveness, cost effectiveness and acceptability of community-based treatment of hepatitis C virus infection: A mixed method systematic review

Several community-based models for treating hepatitis C virus (HCV) infection have been implemented to improve treatment accessibility and health outcomes. However, there is a lack of knowledge regarding how well these models achieve the desired goals. We conducted a mixed-method systematic review of quantitative and qualitative evidence about clinical effectiveness, cost effectiveness and acceptability of community-based HCV treatment models. Seventeen databases were researched for published and unpublished studies. Methodological quality was assessed using The Joanna Briggs Institute Critical Appraisal tools. Quantitative findings were synthesized in narrative form and qualitative findings were synthesized using meta-synthesis. Forty-two quantitative and six qualitative studies were included. No relevant cost effectiveness studies were found. Five categories of community-based models were identified: telehealth, integration of HCV and addiction services, integration of HCV and HIV services, integration of HCV and primary care, and implementation by a home care and health care management company. The range of reported outcomes included; end of treatment response: 48.7% to 96%, serious side effects: 3.3% to 27.8%, sustained virological response: 22.3% to 95.5%, relapse: 2.2% to 16.7%, and treatment completion: 33.4% to 100%. Inconsistent measures of uptake and adherence were used; uptake ranged from 8.3% to 92%, and 68.4% to 100% of patients received ≥80% of prescribed doses. Patient reported experiences included trusted and supportive care providers, safe and trusted services, easily accessible care, and positive psychological and behavioural changes. The clinical effectiveness and acceptability reported from the included studies are similar to or better than reported outcomes from systematic reviews of studies in tertiary settings. Studies of the cost effectiveness of community-based models for treating HCV are needed.