坦桑尼亚北部HIV感染者抗逆转录病毒治疗不依从性预测因素

数据集获取（Figshare）

• 源站标题：Predictors of non-adherence to antiretroviral therapy among HIV infected patients in northern Tanzania
• DOI：10.1371/journal.pone.0189460
• 发布日期：2017-12-18
• 文件数：2 个
• 文件总体积：211.94 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Predictors_of_non-adherence_to_antiretroviral_therapy_among_HIV_infected_patients_in_northern_Tanzania/5712361

命令行下载

curl -L -o "S1 Data.xls" "https://ndownloader.figshare.com/files/10030429"
curl -L -o "S1 Questionnaire.docx" "https://ndownloader.figshare.com/files/10030432"

文件清单

• S1 Data.xls（128.51 KB）
• S1 Questionnaire.docx（83.42 KB）

文件总体积 211.94 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Background
Antiretroviral therapy (ART) has been shown to reduce HIV-related morbidity and mortality amongst those living with HIV and reduce transmission of the virus to those who are yet to be infected. However, these outcomes depend on maximum ART adherence, and HIV programs around the world make efforts to ensure optimal adherence. Predictors of ART non-adherence vary considerably across populations and settings with respect to demographic, psychological, behavioral and economic factors. The objective of this study is to investigate risk factors that predict non-adherence to antiretroviral treatment among HIV-infected individuals in northern Tanzania.
Methods
At Kilimanjaro Christian Medical Centre (KCMC), a tertiary and referral hospital in northern Tanzania, we used an existing ART database to randomly select HIV-infected patients above 18 years of age who have been on triple ART for at least two years. We used interviewer administered structured questionnaires to cross-sectionally determine predictors of ART non-adherence. We determined non-adherence through retrospective review of pharmacy drug refill (PDR) records of the interviewed participants using a pharmacy database.
Results
Non-adherence was defined as collecting less than 95% of expected monthly refills in the previous 2 years. Multivariable logistic regression model was used to determine the predictors of non-adherence. Of the 256 patients enrolled mean age was 44 years (SD ± 11) and median CD4 count was 499 cells per microliter (IQR 332–690). Median PDR adherence was 71% (IQR 58%–75%). Non-adherence was associated with younger age and unemployment.
Conclusion
In this setting, adherence strategies could be adapted to address issues facing young adults, and those with household challenges such as unemployment. Further research is required to better understand the potential roles of these factors in suboptimal adherence.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0189460（source: https://plos.figshare.com/articles/dataset/Predictors_of_non-adherence_to_antiretroviral_therapy_among_HIV_infected_patients_in_northern_Tanzania/5712361）。