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Assessing Direct and Spillover Effects of Intervention Packages in Network-randomized Studies.
Buchanan, Ashley L; Hernández-Ramírez, Raúl U; Lok, Judith J; Vermund, Sten H; Friedman, Samuel R; Forastiere, Laura; Spiegelman, Donna.
Afiliación
  • Buchanan AL; From the Department of Pharmacy Practice and Clinical Research, College of Pharmacy, University of Rhode Island, Kingston, RI.
  • Hernández-Ramírez RU; Department of Biostatistics, Center for Methods in Implementation and Prevention Science, and Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT.
  • Lok JJ; Department of Mathematics and Statistics, Boston University, Boston, MA.
  • Vermund SH; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT.
  • Friedman SR; Department of Population Health, New York University Grossman School of Medicine, New York, NY.
  • Forastiere L; Department of Biostatistics, Yale School of Public Health, New Haven, CT.
  • Spiegelman D; Department of Biostatistics, Center for Methods in Implementation and Prevention Science, and Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT.
Epidemiology ; 35(4): 481-488, 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38709023
ABSTRACT

BACKGROUND:

Intervention packages may result in a greater public health impact than single interventions. Understanding the separate impact of each component on the overall package effectiveness can improve intervention delivery.

METHODS:

We adapted an approach to evaluate the effects of a time-varying intervention package in a network-randomized study. In some network-randomized studies, only a subset of participants in exposed networks receive the intervention themselves. The spillover effect contrasts average potential outcomes if a person was not exposed to themselves under intervention in the network versus no intervention in a control network. We estimated the effects of components of the intervention package in HIV Prevention Trials Network 037, a Phase III network-randomized HIV prevention trial among people who inject drugs and their risk networks using marginal structural models to adjust for time-varying confounding. The index participant in an intervention network received a peer education intervention initially at baseline, then boosters at 6 and 12 months. All participants were followed to ascertain HIV risk behaviors.

RESULTS:

There were 560 participants with at least one follow-up visit, 48% of whom were randomized to the intervention, and 1,598 participant visits were observed. The spillover effect of the boosters in the presence of initial peer education training was a 39% rate reduction (rate ratio = 0.61; 95% confidence interval = 0.43, 0.87).

CONCLUSIONS:

These methods will be useful for evaluating intervention packages in studies with network features.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Infecciones por VIH Límite: Adult / Female / Humans / Male Idioma: En Revista: Epidemiology Asunto de la revista: EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Infecciones por VIH Límite: Adult / Female / Humans / Male Idioma: En Revista: Epidemiology Asunto de la revista: EPIDEMIOLOGIA Año: 2024 Tipo del documento: Article