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Electronic Dose Monitoring Device Patterns in Youth Living With HIV Enrolled in an Adherence Intervention Clinical Trial.
Lindsey, Jane C; Hudgens, Michael; Gaur, Aditya H; Horvath, Keith J; Dallas, Ronald; Heckman, Barbara; Mueller Johnson, Megan; Amico, K Rivet.
Afiliação
  • Lindsey JC; Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA.
  • Hudgens M; Department of Biostatistics, Collaborative Studies Coordinating Center, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC.
  • Gaur AH; Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN.
  • Horvath KJ; Department of Psychology, San Diego State University, San Diego, CA.
  • Dallas R; Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN.
  • Heckman B; Frontier Science and Technology Research Foundation, Inc., Amherst, NY; and.
  • Mueller Johnson M; Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Amico KR; Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI.
J Acquir Immune Defic Syndr ; 92(3): 231-241, 2023 03 01.
Article em En | MEDLINE | ID: mdl-36730762
ABSTRACT

INTRODUCTION:

Youth living with HIV in the US have low rates of viral suppression, in part because of challenges with antiretroviral therapy adherence.

METHODS:

Daily dosing in the Adolescent Medicine Trials Network for HIV/AIDS Interventions 152 study, a randomized controlled trial of a 12-week adherence intervention (triggered escalating real-time adherence intervention) for viremic youth, compared with standard of care (SOC), was measured by electronic dose monitoring (EDM) throughout 48 weeks of follow-up. EDM data collected over the first 24 weeks were used to characterize patterns of antiretroviral therapy adherence with group-based trajectory models.

RESULTS:

Four trajectory groups were identified among the 85 participants included in the analysis during the intervention phase of the study (Worst) no interaction with EDM, (Declining) initially moderate EDM-based adherence followed by steep declines, (Good) initially high EDM-based adherence with modest declines, and (Best) consistently high EDM-based adherence. Being in the SOC arm, not being in school, higher evasiveness and panic decision-making scores, and lower adherence motivation were associated with higher odds of being in a worse trajectory group ( P < 0.05). A general decline in dosing was observed in the 12 weeks postintervention, when all participants were managed using SOC.

CONCLUSIONS:

Use of group-based trajectory models allowed a more nuanced understanding of EDM-based adherence over time compared with collapsed summary measures. In addition to the study intervention, other factors influencing EDM-based adherence included being in school, decision-making styles, and adherence-related motivation. This information can be used to design better intervention services for youth living with HIV.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / Fármacos Anti-HIV Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Adolescent / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções por HIV / Fármacos Anti-HIV Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Adolescent / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article