Improving Timely Linkage to Care among Newly Diagnosed HIV-Infected Youth: Results of SMILE

Miller, Robin Lin; Chiaramonte, Danielle; Strzyzykowski, Trevor; Sharma, Dhruv; Anderson-Carpenter, Kaston D.; Fortenberry, J. Dennis

doi:10.1007/s11524-019-00391-z

Cited by 13 publications

(13 citation statements)

References 29 publications

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“…Corresponding to similar studies on linkage to care (Miller et al, 2019; Sanga et al, 2019), the current literature revealed that HIV‐related stigma is a very important barrier to timely linkage to care. Given the significant mediating function of social support on HIV stigma in our study and echoing evidence from previous studies (Brener et al, 2020), it can be summarized that social support from peers, families, healthcare providers, and other interpersonal social networks supports MSM in more positively coping with their HIV diagnosis and further facilitates linkage to HIV care (Li et al, 2017).…”

Section: Discussionsupporting

confidence: 58%

“…To our knowledge, prior studies have seldom focused on multidimensional variables associated with linkage to care and have not explored their interactive influence among MSM diagnosed with HIV. At the same time, addressing structural and individual obstacles is necessary to attain national goals for the timely linkage of newly diagnosed MSM to HIV continuum care (Miller et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Timely linkage to care among men who have sex with men newly diagnosed with HIV: A structural equation model adapted from the HIV‐related stigma framework

Zhao

Sheng

2022

Nursing & Health Sciences

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HIV prevalence among men who have sex with men in China has increased dramatically, and timely linkage to care after being diagnosed with HIV is important to treatment success. This cross-sectional study aims to utilize structural equation modeling to test a hypothesized model of timely linkage to care adapted from the HIV-related stigma framework. Data were collected from 257 men who have sex with men living with HIV. The proportion of participants with timely linkage to care within 1 month was 63.42%. The model result showed a good fit. Higher HIV-related stigma was significantly associated with a lower level of social support, mental health, maladaptive coping (three mechanism variables), and attitude toward linkage to care. Higher CD4 + T-cell count, disclosure of HIV positivity to sexual partners, and greater convenience of accessing care were related to timely linkage to care (p < 0.05). These model results suggest that enhancing attention to family reactions and social support are needed for further research and interventions to accelerate newly diagnosed people's access to HIV care in China.

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Section: Discussionsupporting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Timely linkage to care among men who have sex with men newly diagnosed with HIV: A structural equation model adapted from the HIV‐related stigma framework

Zhao

Sheng

2022

Nursing & Health Sciences

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“…Only one study among all those reviewed reflected on how a potential MNAR mechanism might affect its results. 26 However, no sensitivity analysis was performed, by any study, to consider the impact that a possible MNAR mechanism could have on the final estimates. 27 Considering that most of the ITS studies are based on routinely collected data, the control that researchers can have over missing data is minimal; thus, a thorough evaluation/reflection on the missingness mechanisms is the only action that is viable in practice.…”

Section: Discussionmentioning

confidence: 99%

Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research

Bazo‐Alvarez

Morris

Carpenter

et al. 2021

CLEP

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Objective Missing data can produce biased estimates in interrupted time series (ITS) analyses. We reviewed recent ITS investigations on health topics for determining 1) the data management strategies and statistical analysis performed, 2) how often missing data were considered and, if so, how they were evaluated, reported and handled. Study Design and Setting This was a scoping review following standard recommendations from the PRISMA Extension for Scoping Reviews. We included a random sample of all ITS studies that assessed any intervention relevant to health care (eg, policies or programmes) with individual-level data, published in 2019, with abstracts indexed on MEDLINE. Results From 732 studies identified, we finally reviewed 60. Reporting of missing data was rare. Data aggregation, statistical tools for modelling population-level data and complete case analyses were preferred, but these can lead to bias when data are missing at random. Seasonality and other time-dependent confounders were rarely accounted for and, when they were, missing data implications were typically ignored. Very few studies reflected on the consequences of missing data. Conclusion Handling and reporting of missing data in recent ITS studies performed for health research have many shortcomings compared with best practice.

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“…The importance of using text messages and social media platforms and apps for engaging and retaining youth is increasing [50][51][52][53][54]. Recent community mobilization programs, focused on addressing structural-level factors to improve HIV testing and prevention, yielded mixed results [55][56][57].…”

Section: Innovative Strategies To Engage Youth In Hiv Treatment and Pmentioning

confidence: 99%

Research Priorities to End the Adolescent HIV Epidemic in the United States: Viewpoint

et al. 2021

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Youth represent 21% of new HIV diagnoses in the United States. Gay, bisexual, and transgender (GBT) youth, particularly those from communities of color, and youth who are homeless, incarcerated, in institutional settings, or engaging in transactional sex are most greatly impacted. Compared with adults, youth have lower levels of HIV serostatus awareness, uptake of antiretroviral therapy (ART), and adherence. Widespread availability of ART has revolutionized prevention and treatment for both youth at high risk for HIV acquisition and youth living with HIV, increasing the need to integrate behavioral interventions with biomedical strategies. The investigators of the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN) completed a research prioritization process in 2019, focusing on research gaps to be addressed to effectively control HIV spread among American youth. The investigators prioritized research in the following areas: (1) innovative interventions for youth to increase screening, uptake, engagement, and retention in HIV prevention (eg, pre-exposure prophylaxis) and treatment services; (2) structural changes in health systems to facilitate routine delivery of HIV services; (3) biomedical strategies to increase ART impact, prevent HIV transmission, and cure HIV; (4) mobile technologies to reduce implementation costs and increase acceptability of HIV interventions; and (5) data-informed policies to reduce HIV-related disparities and increase support and services for GBT youth and youth living with HIV. ATN's research priorities provide a roadmap for addressing the HIV epidemic among youth. To reach this goal, researchers, policy makers, and health care providers must work together to develop, test, and disseminate novel biobehavioral interventions for youth.

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Improving Timely Linkage to Care among Newly Diagnosed HIV-Infected Youth: Results of SMILE

Cited by 13 publications

References 29 publications

Timely linkage to care among men who have sex with men newly diagnosed with HIV: A structural equation model adapted from the HIV‐related stigma framework

Timely linkage to care among men who have sex with men newly diagnosed with HIV: A structural equation model adapted from the HIV‐related stigma framework

Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research

Research Priorities to End the Adolescent HIV Epidemic in the United States: Viewpoint

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