Turkish adaptation of the Mishel uncertainty in illness scale‐community form

2021 ◽  
Author(s):  
Ayse Cal ◽  
Ilknur Aydin Avci
Keyword(s):  
Uncertainty In Illness

Confirmatory Factor Analysis of MUIS-C Scale Among Baby Boomers With Hepatitis C

2021 ◽  
pp. JNM-D-19-00089
Author(s):  
Mehmet Türegün ◽  
Humberto Reinoso
Keyword(s):  
Factor Analysis ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
Baby Boomers ◽  
Wishart Distribution ◽  
Model Fit ◽  
Ml Estimation ◽  
Uncertainty In Illness ◽  
Confirmatory Factor ◽  
Positive Factor

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.

Illness Uncertainty in Patients Awaiting Liver Transplant

2020 ◽  
pp. 019394592095205
Author(s):  
Donald E. Bailey ◽  
Jia Yao ◽  
Qing Yang
Keyword(s):  
Linear Regression ◽  
Liver Transplant ◽  
Self Efficacy ◽  
Regression Models ◽  
Well Being ◽  
Linear Regression Models ◽  
Illness Uncertainty ◽  
Negatively Associated ◽  
Uncertainty In Illness ◽  
Uncertainty Score

Illness uncertainty is prevalent in patients awaiting liver transplant. We described high levels of illness uncertainty in these patients and examined relationships between uncertainty and person factors and the antecedents of uncertainty. Mishel uncertainty in illness scale was used to measure illness uncertainty. We used modes and interquartile range (IQR) to describe illness uncertainty levels in 115 patients. Multiple logistic and linear regression models estimated the associations of uncertainty with hypothesized antecedents. High total illness uncertainty score was reported by 15.6% of the patients. After adjusting for all variables, illness uncertainty was associated with two antecedents of uncertainty, low social well-being (OR = 0.816; p = .025) and low self-efficacy (OR = 0.931; p = .013). Complexity was negatively associated with social well-being; ambiguity and inconsistency were negatively associated with self-efficacy. One in seven patients experienced high illness uncertainty. Social well-being and self-efficacy were negatively related to illness uncertainty.

Uncertainty in Illness

1988 ◽  
Vol 20 (4) ◽  
pp. 225-232 ◽  
Author(s):  
Merle H. Mishel
Keyword(s):  
Uncertainty In Illness
Sign in / Sign up

Export Citation Format

Share Document