Recent Hepatitis C Virus Testing Patterns Among Baby Boomers

2017 ◽  
Vol 53 (1) ◽  
pp. e31-e33 ◽  
Author(s):  
Ahmedin Jemal ◽  
Stacey A. Fedewa
2017 ◽  
Vol 132 (5) ◽  
pp. 579-584 ◽  
Author(s):  
Janna Manjelievskaia ◽  
Derek Brown ◽  
Craig D. Shriver ◽  
Kangmin Zhu

2018 ◽  
Vol 78 (2) ◽  
pp. 214-220 ◽  
Author(s):  
Wilson Ly ◽  
Jennifer Cocohoba ◽  
Alexander Chyorny ◽  
Jodi Halpern ◽  
Colette Auerswald ◽  
...  

2016 ◽  
Vol 34 (6) ◽  
pp. 1108-1111 ◽  
Author(s):  
Erik S. Anderson ◽  
Sarah K. Pfeil ◽  
Laura J. Deering ◽  
Tamara Todorovic ◽  
Suzanne Lippert ◽  
...  

2021 ◽  
pp. JNM-D-19-00089
Author(s):  
Mehmet Türegün ◽  
Humberto Reinoso

Background and PurposeThe purpose of this study was to evaluate Mishel Uncertainty in Illness Scale—Community (MUIS-C), used to gauge level of uncertainty among baby boomers with hepatitis C virus (HCV) infection, as a reliable two-factor instrument.MethodsA CFA was conducted to test MUIS-C. There were minor deviations from normality. Subsequently, 130 participants were used to examine the factor structure and the model fit. A robust maximum likelihood (ML) estimation using the Wishart distribution was implemented in R version 3.3.1.ResultsA very good model fit was obtained (𝜒2(101) = 118.32, p = .115, TLI = 0.977, CFI = 0.983, RMSEA = 0.036, 90%CI(0.000, 0.061), and SRMR = 0.057). All indicators showed significant positive factor loadings, with standardized coefficients ranging from 0.511 to 0.868.ConclusionsThe MUIS-C was a reliable two-factor instrument and suitable for use as such in baby boomer population with HCV.


2019 ◽  
Vol 24 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Theresa Watts ◽  
Lauren Stockman ◽  
Justin Martin ◽  
Sheila M. Guilfoyle ◽  
James M. Vergeront ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document