2020
DOI: 10.1097/fch.0000000000000253
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Case Management and Capacity Building to Enhance Hepatitis C Treatment Uptake at Community Health Centers in a Large Urban Setting

Abstract: An estimated 4.1 million people in the United States are infected with hepatitis C virus (HCV). In 2014, the Hepatitis C Community Alliance to Test and Treat (HepCCATT) collaborative was formed to address hepatitis C in Chicago. From 2014 to 2017, the HepCCATT Case Management Program case managed 181 HCV-infected people and performed on-site capacity building at a 6-site community health center (CHC) that produced codified protocols, which were translated into a telehealth program to build capacity within CHCs… Show more

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Cited by 4 publications
(2 citation statements)
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“…Models commonly used to explain individual variation in risky behavior have included factors such as knowledge, beliefs, attitudes, and behavioral skills as predictors (Bandura, 1994;Fishbein & Middlestadt, 1989;Fisher, Fisher, & Harman, 2003). Environmental and contextual factors are also important (Boodram, Golub, & Ouellet, 2010;Boodram, Hotton, Shekhtman, Gutfraind, & Dahari, 2018;Boodram, Mackesy-Amiti, & Latkin, 2015;German, Davey, & Latkin, 2007;Hotton & Boodram, 2017;Roy et al, 2011), especially in relation to planning public health responses, including harm reduction, increased testing, linkage to care, and availability of curative direct-acting antiviral (DAA) HCV therapy (Boodram et al, 2020;National Academies of Sciences Engineering and Medicine, 2016;Platt et al, 2018). The role of affect and emotion regulation in determining injection risk behavior, on the other hand, has received little attention.…”
mentioning
confidence: 99%
“…Models commonly used to explain individual variation in risky behavior have included factors such as knowledge, beliefs, attitudes, and behavioral skills as predictors (Bandura, 1994;Fishbein & Middlestadt, 1989;Fisher, Fisher, & Harman, 2003). Environmental and contextual factors are also important (Boodram, Golub, & Ouellet, 2010;Boodram, Hotton, Shekhtman, Gutfraind, & Dahari, 2018;Boodram, Mackesy-Amiti, & Latkin, 2015;German, Davey, & Latkin, 2007;Hotton & Boodram, 2017;Roy et al, 2011), especially in relation to planning public health responses, including harm reduction, increased testing, linkage to care, and availability of curative direct-acting antiviral (DAA) HCV therapy (Boodram et al, 2020;National Academies of Sciences Engineering and Medicine, 2016;Platt et al, 2018). The role of affect and emotion regulation in determining injection risk behavior, on the other hand, has received little attention.…”
mentioning
confidence: 99%
“…Models commonly used to explain individual variation in risky behavior have included factors such as knowledge, beliefs, attitudes, and behavioral skills as predictors (Bandura, 1994; Fishbein & Middlestadt, 1989; Fisher, Fisher, & Harman, 2003). Environmental and contextual factors are also important (Boodram, Golub, & Ouellet, 2010; Boodram, Hotton, Shekhtman, Gutfraind, & Dahari, 2018; Boodram, Mackesy-Amiti, & Latkin, 2015; German, Davey, & Latkin, 2007; Hotton & Boodram, 2017; Roy et al, 2011), especially in relation to planning public health responses, including harm reduction, increased testing, linkage to care, and availability of curative direct-acting antiviral HCV therapy (Boodram et al, 2020; National Academies of Sciences Engineering and Medicine, 2016; Platt et al, 2018). The role of affect and emotion regulation in determining injection risk behavior, on the other hand, has received little attention.…”
mentioning
confidence: 99%