Preintervention Profiles of Information, Motivational, and Behavioral Self-Efficacy for Methamphetamine Use and HIV Medication Adherence Among Gay and Bisexual Men

Starks, Tyrel J.; Millar, Brett M.; Lassiter, Jonathan Mathias; Parsons, Jeffrey T.

doi:10.1089/apc.2016.0196

Cited by 19 publications

(12 citation statements)

References 48 publications

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“…Our findings are consistent with previous research suggesting that YSMM use these substances (e.g. alcohol, marijuana, poppers) more frequently than other illicit drugs, particularly compared to methamphetamine use, which tends to increase among SMM between the ages of 30 and 40 (Halkitis et al, 2005; Halkitis et al, 2007; Hegazi et al, 2017; Lee et al, 2004; Newcomb et al, 2014; Starks, Millar, Lassiter, & Parsons, 2017; Thiede et al, 2003).…”

Section: Discussionsupporting

confidence: 92%

Sexualised drug use among sexual minority young adults in the United States: The P18 cohort study

Ristuccia

LoSchiavo

Halkitis

et al. 2018

International Journal of Drug Policy

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Multivariable analyses indicated that engaging in sex while high on any drug was associated with increased condomless sexual behaviour, but that sexualised drug use was associated with particularly elevated condomless anal sex. These findings provide insight for understanding the co-occurrence of substance use and condomless sex, and suggest a need for HIV/STI risk reduction strategies that address the role of sexualised drug use.

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Section: Discussionsupporting

confidence: 92%

Sexualised drug use among sexual minority young adults in the United States: The P18 cohort study

Ristuccia

LoSchiavo

Halkitis

et al. 2018

International Journal of Drug Policy

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“…The Information-Motivation-Behavioural Skills (IMB) model of ART adherence, for example, is widely used to understand the dynamics of ART adherence and to intervene with patients to promote better adherence [31]. This model has been effectively tested across diverse populations worldwide [32][33][34][35] and has often been used to guide the development of interventions to promote HIV-related healthy behaviour, such as ART adherence, retention and safe sex [36][37][38][39]. According to the IMB model, information on HIV and ART interacts with an individual's motivation to take ART medication, thereby influencing the development of behavioural skills related to adherence; in other words, wellinformed and motivated patients with adequate skills for enacting adherence-related behaviours will exhibit better adherence [40].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of smartphone APP-based case-management services among antiretroviral treatment-naïve HIV-positive men who have sex with men: a randomized controlled trial protocol

et al. 2020

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Background: Men who have sex with men (MSM) are disproportionally affected by HIV in China. 'Treatment as Prevention' is a promising strategy for HIV prevention but requires adequate adherence. Mobile health (mHealth) may be an acceptable and feasible approach for service delivery, but there is little evidence supporting mHealth intervention for improving antiretroviral treatment adherence among HIV-infected MSM in low-and middle-income countries, including China. This study will aim to develop a smartphone application-based case-management service and compare its efficacy to standard care with regards to adherence, CD4, HIV viral load and psychosocial outcomes among MSM patients in Guangzhou, China.Methods: A non-blinded 1:1 parallel-group randomised controlled trial will be conducted in Guangzhou Eighth People's Hospital, with 300 MSM enrolled in each arm. Eligible MSM who are newly initiating ART will be randomly assigned to an intervention group (standard-of-care case management plus mHealth intervention) or a control group (standard-of-care case management). The development of the mHealth intervention will be based on the information-motivation-behavioural skills theory of ART adherence, and comprise four components: educational articles, one-to-one online communication with case managers, support-service information and hospital-visit reminders. Outcome measures will be collected at baseline and at months 1, 3, 6, and 12. The primary outcomes will be ART adherence and CD4 count at month 6. Secondary outcomes include HIV RNA, sexual behaviours, mental health status, illness perceptions, and quality of life. χ 2 test and t-test will be used for between-group comparisons. Intervention effects will be evaluated using General estimating equation performed by SAS 9.0, on the principle of intention-to-treat. Structural equation modelling will be used to test potential mechanisms of intervention effect.

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“…These studies have largely focused on characterizing substance using populations in both San Diego and Tijuana, identifying distinct classes of PWID with varying HIV risk profiles (36, 37, 40). Additionally, LCA has been utilized to identify PLWHA classes and predict their ART adherence (41, 42). In this study, we apply LCA to classify and characterize Latino sub-populations of PLWHA receiving HIV care in clinics in Tijuana and San Diego for the purpose of identifying present classes and to assess the barriers to adhering to and remaining in care the members of these classes face.…”

Section: Introductionmentioning

confidence: 99%

CAM Practices and Treatment Adherence Among Key Subpopulations of HIV+ Latinos Receiving Care in the San Diego-Tijuana Border Region: A Latent Class Analysis

Marks

Zúñiga²

2019

Front. Public Health

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Latinos living in the United States-Mexico border region bear a disproportionate HIV/AIDS burden compared to individuals living in the interior of both nations and face a constellation of barriers that determine their ability to access and adhere to HIV care. Use of complementary and alternative medicine (CAM) may be associated with suboptimal treatment adherence. Sociodemographic factors, health practices, and social determinants of health unique to the border region may further contribute to health disparities that undermine care engagement and continuity. Improved understanding of HIV-positive Latino subgroups and their risk profiles can lead to more effective, targeted clinical and public health interventions. We undertook this study to identify and characterize distinct classes of HIV-positive Latinos in the San Diego-Tijuana border region, differentiated by HIV and border-related factors, utilizing latent class analysis. We investigated relationships between class membership and CAM utilization and self-reported antiretroviral therapy (ART) adherence. Five distinct classes were identified with unique demographic, HIV risk, and border mobility profiles. CAM was recently used by nearly half of each class, though there were significant differences in the proportion of CAM use by class ranging from 44.4 to 90.9%. As well, all classes were currently receiving ART at similarly high rates and ART adherence outcomes were not significantly different based on class. Findings highlight the significant use of CAM by all HIV-positive Latinos in the border region and imply the need for a research framework which appropriately acknowledges the heterogeneous nature of this population, such as intersectionality. Further research is recommended into understanding how patients integrate CAM into HIV treatment and the risks and benefits of incorporating CAM into HIV treatment.

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Preintervention Profiles of Information, Motivational, and Behavioral Self-Efficacy for Methamphetamine Use and HIV Medication Adherence Among Gay and Bisexual Men

Cited by 19 publications

References 48 publications

Sexualised drug use among sexual minority young adults in the United States: The P18 cohort study

Sexualised drug use among sexual minority young adults in the United States: The P18 cohort study

Evaluation of smartphone APP-based case-management services among antiretroviral treatment-naïve HIV-positive men who have sex with men: a randomized controlled trial protocol

CAM Practices and Treatment Adherence Among Key Subpopulations of HIV+ Latinos Receiving Care in the San Diego-Tijuana Border Region: A Latent Class Analysis

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