A SWOT Analysis of the Updated National HIV/AIDS Strategy for the U.S., 2015–2020

Holtgrave, David R.; Greenwald, Robert A.

doi:10.1007/s10461-015-1193-9

Cited by 74 publications

(97 citation statements)

References 10 publications

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“…We also assessed whether participants were prescribed any medication (other than methadone) in the past 30 days, and for those who were, we assessed medication adherence (range: 0 – 100) with a self-reported, validated three-item scale [45]. …”

Section: Methodsmentioning

confidence: 99%

Examining the Acceptability of mHealth Technology in HIV Prevention Among High-Risk Drug Users in Treatment

et al. 2016

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Despite promising trends of the efficacy of mobile health (mHealth) based strategies to a broad range of health conditions, very few if any studies have been done in terms of the examining the use of mHealth in HIV prevention efforts among people who use drugs in treatment. Thus, the goal of this study was to gain insight into the real-world acceptance of mHealth approaches among high-risk people who use drugs in treatment. A convenience sample of 400 HIV-negative drug users, who reported drug- and/or sex-related risk behaviors, were recruited from a methadone clinic in New Haven, Connecticut. Participants completed standardized assessments of drug- and sex-related risk behaviors, neurocognitive impairment (NCI), and measures of communication technology access and utilization, and mHealth acceptance. We found a high prevalence of current ownership and use of mobile technologies, such as cell phone (91.5%) including smartphone (63.5%). Participants used mobile technologies to communicate mostly through phone calls (M = 4.25, SD = 1.24), followed by text messages (M = 4.21, SD = 1.29). Participants expressed interest in using mHealth for medication reminders (72.3%), receive information about HIV (65.8%), and to assess drug-related (72.3%) and sex-related behaviors (64.8%). Furthermore, participants who were neurocognitively impaired were more likely to use cell phone without internet and show considerable interest in using mHealth as compared to those without NCI. The findings from this study provide empirical evidence that mHealth-based programs, specifically cell phone text messaging-based health programs, may be acceptable to this high-risk population.

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Section: Methodsmentioning

confidence: 99%

Examining the Acceptability of mHealth Technology in HIV Prevention Among High-Risk Drug Users in Treatment

et al. 2016

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“…All participants are provided a primary incentive to participate and additional incentives for each recruit who participates in the project. Each wave of participants subsequently recruits the next wave of participants until the recruitment goal is reached (Johnston et al, 2016a). …”

Section: Methodsmentioning

confidence: 99%

“…First, we sought information on Burmese refugees in Buffalo related to potential for exposure to Great Lakes contaminants, including sociodemographic characteristics, residential history, the amounts and patterns of Great Lakes fish consumption, awareness of fish advisories, and other lifestyle factors. Secondly, we aimed to assess the effectiveness of RDS for recruiting Burmese refugees for biomonitoring and exposure assessment surveys using measures suggested in the RDS literature (Johnston et al, 2016a, 2008; Lansky et al, 2012; Montealegre et al, 2013; Townsend et al, 2010). …”

Section: Introductionmentioning

confidence: 99%

Respondent driven sampling in a biomonitoring study of refugees from Burma in Buffalo, New York who eat Great Lakes fish

Liu

McCann

Lewis-Michl

et al. 2018

International Journal of Hygiene and Environmental Health

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Background: Refugees from Burma who consume fish caught from local waterbodies have increased risk of exposure to environmental contaminants. We used respondent driven sampling (RDS) to sample this hard-to- reach population for the first Biomonitoring of Great Lakes Populations program. In the current study, we examined the interview data and assessed the effectiveness of RDS to sample the unique population. Methods: In 2013, we used RDS to sample 205 Burmese refugees and immigrants residing in Buffalo, New York who consumed fish caught from Great Lakes waters. RDS-adjusted population estimates of sociodemographic characteristics, residential history, fish consumption related behaviors, and awareness of fish advisories were obtained. We also examined sample homophily and equilibrium to assess how well the RDS assumptions were met in the study. Results: Our sample was diverse with respect to sex, age, years residing in Buffalo, years lived in a refugee camp, education, employment, and fish consumption behaviors, and each of these variables reached equilibrium by the end of recruitment. Burmese refugees in Buffalo consumed Great Lakes fish throughout the year; a majority of them consumed the fish more than two times per week during summer, and about one third ate local fish more than once per week in winter. An estimated 60% of Burmese refugees in Buffalo had heard about local fish advisories. Conclusions: RDS has the potential to be an effective methodology for sampling refugees and immigrants in conducting biomonitoring and environmental exposure assessment. Due to high fish consumption and limited awareness and knowledge of fish advisories, some refugee and immigrant populations are more susceptible to environmental contaminants. Increased awareness on local fish advisories is needed among these populations.

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“…Continue to embrace the National HIV/AIDS Strategy as an evidence-based plan for minimizing the impact of HIV on the health of Americans [2]. This will require that we maintain and even expand and extend the 2020 goals of the National HIV/AIDS Strategy (NHAS) [2][3][4]. 2.…”

Section: Recommitment To Key National Hiv/aids Goalsmentioning

confidence: 99%

“…4. Invest in HIV-related services at the level necessary to achieve (at least) the goals of the NHAS (wherein doing so would appear to be not only impactful for public health but also potentially cost-saving or costeffective) [3,4]. 5.…”

Section: Recommitment To Key National Hiv/aids Goalsmentioning

confidence: 99%

Presidential Elections and HIV-Related National Policies and Programs

2017

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The November 2016 general election and subsequent voting of the Electoral College resulted in the selection of Donald Trump as President of the United States. The incoming Administration ran a campaign that indicated a desire for substantial change in health policy, including the repeal of the Affordable Care Act (ACA). President Trump has said very little directly about HIV programs and policies, but some campaign positions (such as the repeal of the ACA) would clearly and substantially impact the lives of persons living with HIV. In this editorial, we highlight important HIV-related goals to which we must recommit ourselves, and we underscore several key points about evidence-based advocacy that are important to revisit at any time (but most especially when there is a change in Administration).Resumen La elección nacional de Noviembre de 2016 y el voto subsecuente del Colegio Electoral resultaron en la selección de Donald Trump como Presidente de los Estados Unidos. La nueva Administración hizo campaña que indicaba el deseo para un cambio considerable en la polí-tica de la salud, incluyendo la revocación de la Ley del Cuidado de Salud Asequible (ACA). El Presidente Trump ha dicho muy poco directamente con respecto a sus políticas y programas para el VIH, pero algunas posiciones de la campaña (como la revocación de la ACA) tendrían un impacto claro y sustancial en las vidas de las personas que viven con el VIH. En este editorial, destacamos metas importantes relacionadas al VIH a las que debemos reafirmarnos, y subrayamos varios puntos claves sobre el apoyo basado en evidencia que son importantes a revisar en cualquier momento (pero especialmente cuando ha sucedido un cambio de Administración).

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A SWOT Analysis of the Updated National HIV/AIDS Strategy for the U.S., 2015–2020

Cited by 74 publications

References 10 publications

Examining the Acceptability of mHealth Technology in HIV Prevention Among High-Risk Drug Users in Treatment

Examining the Acceptability of mHealth Technology in HIV Prevention Among High-Risk Drug Users in Treatment

Respondent driven sampling in a biomonitoring study of refugees from Burma in Buffalo, New York who eat Great Lakes fish

Presidential Elections and HIV-Related National Policies and Programs

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