Latent Class Analysis of Syndemic Factors Associated with Sustained Viral Suppression among Ryan White HIV/AIDS Program Clients in Miami, 2017

2021 ◽  
Author(s):  
Rahel Dawit ◽  
Mary Jo Trepka ◽  
Semiu O. Gbadamosi ◽  
Sofia B. Fernandez ◽  
Sikeade O. Caleb-Adepoju ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Viral Suppression ◽  
Latent Class ◽  
Class Analysis ◽  
Factors Associated ◽  
Sustained Viral Suppression ◽  
Ryan White ◽  
Aids Program ◽  
Hiv Aids

scholarly journals Toward understanding the impact of mHealth features for people with HIV: a latent class analysis of PositiveLinks usage

2019 ◽  
Author(s):  
Chelsea E Canan ◽  
Tabor E Flickinger ◽  
Marika Waselewski ◽  
Alexa Tabackman ◽  
Logan Baker ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Clinical Outcomes ◽  
Viral Suppression ◽  
Latent Class ◽  
Class Analysis ◽  
Ryan White ◽  
Usage Patterns ◽  
Community Board ◽  
Living With Hiv ◽  
The Impact

Abstract PositiveLinks (PL) is a multi-feature smartphone-based platform to improve engagement-in-care and viral suppression (VS) among clinic patients living with HIV. Features include medication reminders, mood/stress check-ins, a community board, and secure provider messaging. Our goal was to examine how PL users interact with the app and determine whether usage patterns correlate with clinical outcomes. Patients (N = 83) at a university-based Ryan White clinic enrolled in PL from June 2016 to March 2017 and were followed for up to 12 months. A subset (N = 49) completed interviews after 3 weeks of enrollment to explore their experiences with and opinions of PL. We differentiated PL members based on 6-month usage of app features using latent class analysis. We explored characteristics associated with class membership, compared reported needs and preferences by class, and examined association between class and VS. The sample of 83 PL members fell into four classes. “Maximizers” used all app features frequently (27%); “Check-in Users” tended to interact only with daily queries (22%); “Moderate All-Feature Users” used all features occasionally (33%); and “As-Needed Communicators” interacted with the app minimally (19%). VS improved or remained high among all classes after 6 months. VS remained high at 12 months among Maximizers (baseline and 12-month VS: 100%, 94%), Check-in Users (82%, 100%), and Moderate All-Feature Users (73%, 94%) but not among As-Needed Communicators (69%, 60%). This mixed-methods study identified four classes based on PL usage patterns that were distinct in characteristics and clinical outcomes. Identifying and characterizing mHealth user classes offers opportunities to tailor interventions appropriately based on patient needs and preferences as well as to provide targeted alternative support to achieve clinical goals.

scholarly journals High Rates of Retention and Viral Suppression in the US HIV Safety Net System: HIV Care Continuum in the Ryan White HIV/AIDS Program, 2011

2014 ◽  
Vol 60 (1) ◽  
pp. 117-125 ◽  
Author(s):  
R. K. Doshi ◽  
J. Milberg ◽  
D. Isenberg ◽  
T. Matthews ◽  
F. Malitz ◽  
...  
Keyword(s):  
Viral Suppression ◽  
Safety Net ◽  
Hiv Care ◽  
Hiv Care Continuum ◽  
Care Continuum ◽  
Ryan White ◽  
The Us ◽  
Aids Program ◽  
Hiv Aids

scholarly journals Identifying patterns of retention in care and viral suppression using latent class analysis among women living with HIV in Florida 2015–2017

AIDS Care ◽  
2020 ◽  
Vol 33 (1) ◽  
pp. 131-135
Author(s):  
Rahel Dawit ◽  
Diana M. Sheehan ◽  
Semiu O. Gbadamosi ◽  
Kristopher P. Fennie ◽  
Tan Li ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Viral Suppression ◽  
Latent Class ◽  
Retention In Care ◽  
Class Analysis ◽  
Women Living With Hiv ◽  
Living With Hiv

A latent class analysis of modifiable risk factors associated with child maltreatment re-reporting and recurrence

2021 ◽  
Vol 120 ◽  
pp. 105249
Author(s):  
Jeffrey Waid ◽  
N. Jeanie Santaularia ◽  
Kristine Piescher ◽  
Traci LaLiberte
Keyword(s):  
Risk Factors ◽  
Child Maltreatment ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Modifiable Risk Factors ◽  
Class Analysis ◽  
Factors Associated

For Many Served By The Ryan White HIV/AIDS Program, Disparities In Viral Suppression Decreased, 2010–14

2017 ◽  
Vol 36 (1) ◽  
pp. 116-123 ◽  
Author(s):  
Rupali K. Doshi ◽  
John Milberg ◽  
Theresa Jumento ◽  
Tracy Matthews ◽  
Antigone Dempsey ◽  
...  
Keyword(s):  
Viral Suppression ◽  
Ryan White ◽  
Aids Program ◽  
Hiv Aids

Differential factors associated with challenge-proven food allergy phenotypes in a population cohort of infants: a latent class analysis

2015 ◽  
Vol 45 (5) ◽  
pp. 953-963 ◽  
Author(s):  
R. L. Peters ◽  
K. J. Allen ◽  
S. C. Dharmage ◽  
C. J. Lodge ◽  
J. J. Koplin ◽  
...  
Keyword(s):  
Food Allergy ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Factors Associated ◽  
Population Cohort

scholarly journals 1030. Medicaid Expansion: How Does it Impact HIV Outcomes in One Non-urban Southeastern Ryan White HIV/AIDS Program Clinic?

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S544-S546
Author(s):  
Kathleen A McManus ◽  
Karishma R Srikanth ◽  
Samuel D Powers ◽  
Rebecca Dillingham ◽  
Elizabeth T Rogawski McQuade
Keyword(s):  
Viral Suppression ◽  
Hiv Care ◽  
Baseline Viral Load ◽  
Medicaid Expansion ◽  
Engagement In Care ◽  
Medicaid Enrollment ◽  
Ryan White ◽  
Aids Program ◽  
Research Grant ◽  
Hiv Aids

Abstract Background People living with HIV (PLWH) with Medicaid historically have lower viral suppression (VS) rates than those with other insurance. VS rates with Medicaid expansion (ME) are unknown. We examined HIV outcomes (engagement in care, VS) by insurance status for a non-urban Southeastern Ryan White HIV/AIDS Program (RWHAP) Clinic cohort for year after ME. Methods Participants were PLWH ages 18-63 who attended > 1 HIV medical visit/year in 2018 and 2019. Log-binomial models were used to estimate the association of characteristics with Medicaid enrollment prevalence and one-year risks of engagement in care and VS in 2019. Results Among 577 patients, 241 (42%) were newly eligible for Medicaid due to ME and 79 (33%) enrolled (Figure 1a). For those without Medicare, Medicaid enrollment was higher for those with incomes < 100% FPL (adjusted prevalence ratio [aPR] 1.67; 95% confidence interval [CI] 1.00-1.86) compared to those with incomes > 101% FPL. Those enrolled in Medicaid due to ME had 87% engagement in care compared to 80-92% for other insurance plans (Figure 1b). Controlling for 2018 engagement, older age (adjusted risk ratio [aRR] for 10 years 1.03, 95% CI 1.00-1.05; Table 1) was associated with being engaged in 2019. Engagement was lower for those with employment-based insurance (aRR 0.91, 95% CI 0.83-0.99) and Medicare (aRR 0.87, 95% CI 0.78-0.96). Of those with viral loads in 2018 and 2019 (n=549), those who newly enrolled in Medicaid due to ME had 85% VS compared to 87-99% for other insurance plans (Figure 1c). In univariate analysis, age, income, and baseline viral load status were associated with viral suppression (Table 2), and those with Medicaid due to ME (aRR 0.90, 95% CI 0.81-1.00) were less likely to achieve VS compared with others. Figure 1 Table 1 Table 2 Conclusion The low uptake of ME was likely influenced by many PLWH already having Medicare. While the RWHAP supports high quality HIV care, Medicaid enrollment improves access to non-HIV care and should be supported by RWHAP. Given that engagement in care was high for PLWH who newly enrolled in Medicaid, the finding of lower VS is surprising. The discordance may be due to medication access gaps associated with changes in pharmacy logistics. Future studies with larger cohorts will need to examine how ME contributes to PLWH’s overall health and to ending the HIV epidemic. Disclosures Kathleen A. McManus, MD, MSCR, Gilead Sciences, Inc (Research Grant or Support, Shareholder) Rebecca Dillingham, MD, MPH, Gilead Sciences, Inc (Research Grant or Support)Warm Health Technologies, Inc (Consultant)

scholarly journals Activity Profiles among Older Adults: Latent Class Analysis Using the Korean Time Use Survey

2021 ◽  
Vol 18 (16) ◽  
pp. 8786
Author(s):  
Yungsoo Lee
Keyword(s):  
Older Adults ◽  
Latent Class Analysis ◽  
Time Use ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Well Being ◽  
Class Analysis ◽  
Factors Associated ◽  
Wide Range ◽  
Time Use Survey

This study empirically explored the activity profiles of Korean older adults by considering a wide range of activities simultaneously and further investigated the socioeconomic factors associated with activity profiles. Gender differences in activity profiles were examined in-depth. Latent class analysis (LCA) was used to identify activity profiles based on a nationally representative sample of older adults from the most recent two waves of the Korean Time Use Survey (n = 3034 for 2014 and n = 3960 for 2019). Multinomial logistic regression analysis was employed to further examine the factors associated with the activity profiles. The findings revealed four distinct activity groups, although there were differences in activity profiles between the two waves. Several sociodemographic factors, such as gender, age, assets and income, were significantly associated with the activity profiles. Findings from this study can inform policy makers seeking interventions that enhance the overall well-being of older adults through activity engagement.

A Latent Class Analysis of Factors Associated with Levels of Aggression among Low-Income African American Youth in Chicago

2019 ◽  
Vol 46 (4) ◽  
pp. 452-461 ◽  
Author(s):  
Sarah M. Bassett ◽  
Dong Ha Kim ◽  
Lois Takahashi ◽  
Sonya Mathies Dinizulu ◽  
Royce Lee ◽  
...  
Keyword(s):  
African American ◽  
Latent Class Analysis ◽  
Low Income ◽  
Latent Class ◽  
African American Youth ◽  
Class Analysis ◽  
Factors Associated
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