Gamification: An Innovative Way to Enhance Health Behaviors for people Living with HIV/AIDs Via Mobile Health Appliacations

10.28971/142020sc135 ◽

2020 ◽

Author(s):

Chan Sreypouv

Keyword(s):

Rhode Island ◽

Mobile Health ◽

Hiv Care ◽

People Living With Hiv ◽

Digital Platforms ◽

Ryan White ◽

Mobile Health Applications ◽

Living With Hiv ◽

Health Applications ◽

Hiv Aids

Mobile health applications are known as any wireless technology in medical care and have been considered as one of innovative ways to assist and engage patients in care. This project focused on mobile health applications that were designed specifically for HIV medication adherence and to serve People Living with HIV/AIDs (PLWHA) with their HIV care in Rhode Island (RI) Ryan White Part B program, a federal program that provide HIV care to PLWHA (HRSA,2019). RI-Ryan White program partnered with 360 Medlink, Inc. (a software development company) developed and delivered two advanced digital platforms called TAVIE-HIV (an application with no gamification) and TAVIE-RED (an application with gamification) to Ryan White’s clients in RI.

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HIV and Aging: Multimorbidity in Older People Living with HIV in One Non-Urban Southeastern Ryan White HIV/AIDS Program Clinic

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa584 ◽

2020 ◽

Author(s):

Elizabeth C Arant ◽

Ceshae Harding ◽

Maria Geba ◽

Paul V Targonski ◽

Kathleen A McManus

Keyword(s):

Private Insurance ◽

Female Gender ◽

Hiv Care ◽

People Living With Hiv ◽

Medical Visit ◽

Age Related ◽

Ryan White ◽

Aids Program ◽

Living With Hiv ◽

Hiv Aids

Abstract Background Age-related chronic conditions are becoming more concerning for people living with HIV (PLWH). We aimed to identify characteristics associated with multimorbidity and evaluate for association between multimorbidity and HIV outcomes. Methods Cohorts included PLWH aged 45-89 with >1 medical visit at one Ryan White HIV/AIDS Program (RWHAP) Southeastern HIV clinic in 2006 (Cohort 1) or 2016 (Cohort 2). Multimorbidity was defined as >2 chronic diseases. We used multivariable logistic regression to assess for associations between characteristics and multimorbidity and between multimorbidity and HIV outcomes. Results Multimorbidity increased from Cohort 1 (n=149) to Cohort 2 (n=323) (18.8% vs 29.7%, p<0.001). Private insurance was associated with less multimorbidity than Medicare (Cohort 1: adjusted Odds Ratio [aOR] 0.15, 95% Confidence Interval [CI] 0.02-0.63; Cohort 2: aOR 0.53, 95% CI 0.27-1.00). In Cohort 2, multimorbidity was associated with female gender (aOR 2.57, 95% CI 1.22-5.58). In Cohort 1, Black participants were less likely to be engaged in care compared to non-Black participants (aOR 0.72, 95% CI 0.61-0.87) Cohort 2, participants with rural residences were more likely to be engaged in care compared to those with urban residences (aOR 1.23, 95% CI 1.10-1.38). Multimorbidity was not associated with differences in HIV outcomes. Conclusions While PLWH have access to RWHAP HIV care, PLWH with private insurance had lower rates of multimorbidity, which may reflect better access to preventative non-HIV care. In 2016, multimorbidity was higher for women. The RWHAP and RWHAP Part D could invest in addressing these disparities related to insurance and gender.

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The Use of Mobile Health Applications Among Youth and Young Adults Living with HIV: Focus Group Findings

AIDS Patient Care and STDs ◽

10.1089/apc.2016.0044 ◽

2016 ◽

Vol 30 (6) ◽

pp. 254-260 ◽

Cited By ~ 37

Author(s):

Parya Saberi ◽

Robert Siedle-Khan ◽

Nicolas Sheon ◽

Marguerita Lightfoot

Keyword(s):

Young Adults ◽

Focus Group ◽

Mobile Health ◽

Youth And Young Adults ◽

Mobile Health Applications ◽

Living With Hiv ◽

Health Applications

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The Validity of the Substance Abuse and Mental Illness Symptom Screener (SAMISS) in People Living with HIV/AIDS in Primary HIV Care in Cape Town, South Africa

AIDS and Behavior ◽

10.1007/s10461-014-0698-y ◽

2014 ◽

Vol 18 (6) ◽

pp. 1133-1141 ◽

Cited By ~ 16

Author(s):

Erica Breuer ◽

Kevin Stoloff ◽

Landon Myer ◽

Soraya Seedat ◽

Dan J. Stein ◽

...

Keyword(s):

South Africa ◽

Substance Abuse ◽

Mental Illness ◽

Cape Town ◽

Hiv Care ◽

People Living With Hiv ◽

Living With Hiv ◽

Hiv Aids

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Reasons for Disclosure of HIV Status by People Living with HIV/AIDS and in HIV Care in Uganda: An Exploratory Study

AIDS Patient Care and STDs ◽

10.1089/apc.2010.0062 ◽

2010 ◽

Vol 24 (10) ◽

pp. 675-681 ◽

Cited By ~ 50

Author(s):

Sarah N. Ssali ◽

Lynn Atuyambe ◽

Christopher Tumwine ◽

Eric Segujja ◽

Nicolate Nekesa ◽

...

Keyword(s):

Exploratory Study ◽

Hiv Care ◽

People Living With Hiv ◽

Hiv Status ◽

Living With Hiv ◽

Hiv Aids

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Social capital and networks and retention to HIV care among people living with HIV/AIDS (PLWH) in Tanzania

Annals of Global Health ◽

10.1016/j.aogh.2016.04.640 ◽

2016 ◽

Vol 82 (3) ◽

pp. 391

Author(s):

S. Jong ◽

L. Thompson ◽

H. Siril ◽

D. Urassa

Keyword(s):

Social Capital ◽

Hiv Care ◽

People Living With Hiv ◽

Living With Hiv ◽

Hiv Aids

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Medicaid Expansion’s Impact on HIV Outcomes in a Non-urban Southeastern Ryan White HIV/AIDS Program Clinic

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa595 ◽

2020 ◽

Author(s):

Kathleen A McManus ◽

Karishma Srikanth ◽

Samuel D Powers ◽

Rebecca Dillingham ◽

Elizabeth T Rogawski McQuade

Keyword(s):

Private Insurance ◽

Hiv Care ◽

People Living With Hiv ◽

Insurance Status ◽

Engagement In Care ◽

Poverty Level ◽

Medicaid Enrollment ◽

Ryan White ◽

Aids Program ◽

Hiv Aids

Abstract Background While the Ryan White HIV/AIDS Program (RWHAP) supports high-quality HIV care, Medicaid enrollment provides access to non-HIV care. People living with HIV (PLWH) with Medicaid historically have low viral suppression (VS) rates. In a state with previously high Qualified Health Plan coverage of PLWH, we examined HIV outcomes by insurance status during the first year of Medicaid expansion (ME). Methods Participants were PLWH ages 18-63 who attended ≥1 HIV medical visit/year in 2018 and 2019. We estimated associations of sociodemographic characteristics with ME enrollment prevalence and associations between insurance status and engagement in care and VS. Results Among 577 patients, 151 (33%) were newly eligible for Medicaid, and 77 (51%) enrolled. Medicaid enrollment was higher for those with incomes <100% Federal Poverty Level (adjusted prevalence ratio [aPR] 1.67; 95% confidence interval [CI] 1.00-1.86) compared to others. Controlling for age, income, and 2018 engagement, those with employment-based private insurance (adjusted risk difference [aRD] -8.5%, 95% CI -16.9-0.1) and Medicare (aRD -12.5%, 95% CI -21.2- -3.0) had lower 2019 engagement than others. For those with VS data (n=548), after controlling for age and baseline VS, those with Medicaid (aRD -4.0%, 95% CI -10.3-0.3) and with Medicaid due to ME (aRD -6.2%, 95% CI -14.1- -0.8) were less likely to achieve VS compared with others. Conclusions Given that PLWH who newly enrolled in Medicaid had high engagement in care, the finding of lower VS is notable. The discordance may be due to medication access gaps associated with changes in medication procurement logistics.

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