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1.
Harm Reduct J ; 17(1): 64, 2020 09 18.
Article in English | MEDLINE | ID: mdl-32948189

ABSTRACT

BACKGROUND: Most people diagnosed with hepatitis C virus (HCV) have not linked to care, despite the availability of safe and effective treatment. We aimed to understand why people diagnosed with HCV have not pursued care in the non-urban Southern United States. METHODS: We conducted a survey and semi-structured interview with participants referred to an HCV clinic who did not attend an appointment between 2014 and 2018. Our clinic is located in a non-urban region of Virginia at a university hospital. Qualitative data collection was guided by the Health Belief Model (HBM). Data was analyzed using qualitative content analysis to identify key factors influencing patient perceptions regarding HCV and pursuit of care. RESULTS: Over half of previously referred patients (N = 200) could not be reached by phone. Eleven participants enrolled, including 7 men and 4 women. Based on survey responses, unreliable transportation, unstable housing, substance use, and lack of insurance were common. Participants demonstrated good knowledge of HCV disease, complications, and treatment. On qualitative analysis of semi-structured interviews, final themes emerged from within and between HBM constructs. Emerging themes influencing patient perceptions included (1) structural barriers, (2) stigma, (3) prior experiences of HCV disease and treatment, (4) discordance between the recognized severity of HCV and expected impacts on one's own health, and (5) patient-provider relationship. Substance use was not identified to be a barrier to care. CONCLUSIONS: Participants perceived individual and structural barriers to linking to care. A strong HCV knowledge base was not sufficient to motivate pursuit of care. Efforts to improve linkage to care must address barriers at multiple levels, and system-level changes are needed. As the majority of previously referred patients could not be contacted by phone, current approaches to patient engagement are not effective for reaching these populations. Expansion of HCV care to primary care settings with an established patient-provider relationship or co-located treatment within substance use treatment programs may serve to increase access to HCV treatment.


Subject(s)
Health Knowledge, Attitudes, Practice , Health Services Accessibility , Hepacivirus , Hepatitis C , Patient Acceptance of Health Care , Social Stigma , Aged , Female , Health Belief Model , Hepatitis C/psychology , Hepatitis C/therapy , Humans , Interviews as Topic , Male , Medicare , Qualitative Research , Referral and Consultation , Suburban Population , United States
2.
Front Public Health ; 7: 362, 2019.
Article in English | MEDLINE | ID: mdl-31828056

ABSTRACT

Background: Direct acting antivirals (DAAs) have simplified and expanded access to Hepatitis C virus (HCV) treatment. Only 17% of the 2.4 million Americans with HCV have linked to HCV care. We aimed to evaluate linkage to care (LTC) in a non-urban HCV referral clinic with a nurse navigator model and identify disparities in LTC. Methods: A single-center retrospective cohort analysis was performed among all patients referred to an infectious diseases HCV clinic between 2014 and 2018. The primary outcome was LTC, defined as attendance at a clinic appointment. A multivariable Poisson regression model estimated the association of variables with LTC. Results: Among 824 referred patients, 624 (76%) successfully linked to care and 369 (45%) successfully achieved sustained virologic response. Forty-six percent of those referred were uninsured. On multivariable analysis, LTC rates were higher among women (Incidence Rate Ratio [IRR] 1.11, 95% CI 1.03-1.20, p-value = 0.01) and people with cirrhosis (IRR 1.20, 95% CI 1.11-1.30, p-value < 0.001). Lower LTC rates were found for young people (<40 years; IRR 0.88, 95% CI 0.79-0.98, p-value = 0.02) and uninsured people (IRR 0.85, 95% CI 0.77-0.94, p-value = 0.002). Among those without LTC, 10% were incarcerated. Race, proximity to care, substance use, and HIV status were not associated with LTC. Conclusions: Using an embedded nurse navigator model, high LTC rates were achieved despite the prevalence of barriers, including a high uninsured rate. Disparities in LTC based on age, sex, and insurance status are present. Substance use was not associated with LTC. Future interventions to improve care should include expanded access to insurance and programs bridging care for incarcerated populations.

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