Mageda Kihulya, Kulemba Khamis, Katalambula Leornard K, Kapologwe Ntuli, Petrucka Pammla
School of Nursing and Public Health, University of Dodoma, Dodoma, Tanzania.
Simiyu Regional Commissioners Office, Bariadi, Tanzania.
Data Brief. 2023 Oct 10;51:109655. doi: 10.1016/j.dib.2023.109655. eCollection 2023 Dec.
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) 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.
使用经过验证的儿童及照料者调查问卷，收集了关于基于孔加社区干预的整群随机临床试验的数据。原始数据和分析后的数据包括82名参与者的以下信息：社会人口统计学特征（照料者的年龄、性别、教育程度、收入及婚姻状况）以及儿童的临床特征（体重、基线及随访6个月后的CD4细胞计数和病毒载量）。该数据集中包含的其他数据有体重、药物依从性和机会性感染。使用基线病毒载量进行协方差分析（ANCOVA）。结果变量是干预结束时的病毒载量。此外，使用欧米伽平方（ω）来计算效应量，以估计干预的强度。这些数据将帮助研究人员分析来自类似研究的数据，并评估基于社区的干预措施对抑制病毒载量的有效性。
