Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania

Data Brief. 2023 Oct 10:51:109655. doi: 10.1016/j.dib.2023.109655. eCollection 2023 Dec.

Abstract

Data were collected for a cluster-randomized clinical trial of the Konga community-based intervention using a validated questionnaire for children and caregivers. The raw and analyzed data include 82 participants with the following information: sociodemographic characteristics (caregiver's age, sex, and level of education, income, and caregiver's marital status) and clinical characteristics of the children (weight, CD4 cell count, and viral load at baseline and after 6 months of follow-up. The other data included in this dataset were weight, medication adherence, and opportunistic infections. Analysis of covariance (ANCOVA) was performed using the baseline VL. The outcome was viral load at the end of the intervention. Additionally, Omega squared (ω2) was used to calculate the effect size as an estimation of the strength of the intervention. These data will help researchers analyze data from similar studies and evaluate the effectiveness of community-based interventions for viral load suppression.

Keywords: Antiretroviral therapy; Community-based intervention; HIV-positive children; Viral load suppression.

Associated data

  • figshare/10.6084/m9.figshare.22141400.v2