Cargando…

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 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,...

Descripción completa

Detalles Bibliográficos
Autores principales: Mageda, Kihulya, Kulemba, Khamis, Katalambula, Leornard K., Kapologwe, Ntuli, Petrucka, Pammla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590862/
https://www.ncbi.nlm.nih.gov/pubmed/37876740
http://dx.doi.org/10.1016/j.dib.2023.109655
_version_ 1785124091609481216
author Mageda, Kihulya
Kulemba, Khamis
Katalambula, Leornard K.
Kapologwe, Ntuli
Petrucka, Pammla
author_facet Mageda, Kihulya
Kulemba, Khamis
Katalambula, Leornard K.
Kapologwe, Ntuli
Petrucka, Pammla
author_sort Mageda, Kihulya
collection PubMed
description 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 (ω(2)) 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.
format Online
Article
Text
id pubmed-10590862
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-105908622023-10-24 Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania Mageda, Kihulya Kulemba, Khamis Katalambula, Leornard K. Kapologwe, Ntuli Petrucka, Pammla Data Brief Data Article 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 (ω(2)) 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. Elsevier 2023-10-10 /pmc/articles/PMC10590862/ /pubmed/37876740 http://dx.doi.org/10.1016/j.dib.2023.109655 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Mageda, Kihulya
Kulemba, Khamis
Katalambula, Leornard K.
Kapologwe, Ntuli
Petrucka, Pammla
Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania
title Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania
title_full Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania
title_fullStr Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania
title_full_unstemmed Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania
title_short Dataset evaluating the effectiveness of the Konga model to address factors contributing to a low viral load suppression among children with HIV in Tanzania
title_sort dataset evaluating the effectiveness of the konga model to address factors contributing to a low viral load suppression among children with hiv in tanzania
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590862/
https://www.ncbi.nlm.nih.gov/pubmed/37876740
http://dx.doi.org/10.1016/j.dib.2023.109655
work_keys_str_mv AT magedakihulya datasetevaluatingtheeffectivenessofthekongamodeltoaddressfactorscontributingtoalowviralloadsuppressionamongchildrenwithhivintanzania
AT kulembakhamis datasetevaluatingtheeffectivenessofthekongamodeltoaddressfactorscontributingtoalowviralloadsuppressionamongchildrenwithhivintanzania
AT katalambulaleornardk datasetevaluatingtheeffectivenessofthekongamodeltoaddressfactorscontributingtoalowviralloadsuppressionamongchildrenwithhivintanzania
AT kapologwentuli datasetevaluatingtheeffectivenessofthekongamodeltoaddressfactorscontributingtoalowviralloadsuppressionamongchildrenwithhivintanzania
AT petruckapammla datasetevaluatingtheeffectivenessofthekongamodeltoaddressfactorscontributingtoalowviralloadsuppressionamongchildrenwithhivintanzania