32 research outputs found

    Interventions for families affected by HIV

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    Family-based interventions are efficacious for human immunodeficiency virus (HIV) detection, prevention, and care, but they are not broadly diffused. Understanding intervention adaptation and translation processes can support evidence-based intervention (EBI) diffusion processes. This paper provides a narrative review of a series of EBI for families affected by HIV (FAH) that were adapted across five randomized controlled trials in the US, Thailand, and South Africa over 15 years. The FAH interventions targeted parents living with HIV and their children or caregiver supports. Parents with HIV were primarily mothers infected through sexual transmission. The EBIs for FAH are reviewed with attention to commonalities and variations in risk environments and intervention features. Frameworks for common and robust intervention functions, principles, practice elements, and delivery processes are utilized to highlight commonalities and adaptations for each location, time period, and intervention delivery settings. Health care, housing, food, and financial security vary dramatically in each risk environment. Yet, all FAH face common health, mental health, transmission, and relationship challenges. The EBIs efficaciously addressed these common challenges and were adapted across contexts with fidelity to robust intervention principles, processes, factors, and practices. Intervention adaptation teams have a series of structural decision points: mainstreaming HIV with other local health priorities or not; selecting an optimal delivery site (clinics, homes, community centers); and how to translate intervention protocols to local contexts and cultures. Replication of interventions with fidelity must occur at the level of standardized functions and robust principles, processes, and practices, not manualized protocols. Adopting a continuous quality improvement paradigm will enhance rapid and global diffusion of EBI for FAH

    Ghrelin

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    This work was supported by grants from the NIH (DP2DK105570-01 and 2P30DK046200 to MLA, DK21397 to HJG, K01DK098319 to KMH, K01MH091222 to LH, DK093848 to RJS, R01DK082590 to LS, R01DK097550 to JT, RO1 DK 076037 to MOT, R01DA024680 and R01MH085298 to JMZ, R01AG019230 and R01AG029740 to RGS) The Wellcome Trust (MK), Science Foundation Ireland (12/YI/B2480 to CWL), the Alexander von Humboldt Foundation (MHT), the Deutsches Zentrum für Diabetesforschung (MHT), the Helmholtz Alliance ICEMED e Imaging and Curing Environmental Metabolic Diseases, through the Initiative and Networking Fund of the Helmholtz Association (MHT), and the Helmholtz cross-program topic “Metabolic Dysfunction” (MHT). Allan Geliebter was sponsored by NIH grants R01DK80153; R01DK074046; R03DK068603; P30DK26687
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