Unwillingness to prescribe PrEP by health care professionals of specialized HIV/AIDS services in Northeastern Brazil

数据集获取（Figshare）

• 源站标题：Unwillingness to prescribe PrEP by health care professionals of specialized HIV/AIDS services in Northeastern Brazil
• DOI：10.6084/m9.figshare.23648223.v1
• 发布日期：2023-07-08
• 文件数：5 个
• 文件总体积：51.64 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Unwillingness_to_prescribe_PrEP_by_health_care_professionals_of_specialized_HIV_AIDS_services_in_Northeastern_Brazil/23648223

命令行下载

curl -L -o "ffc0862759f943733f5488a1cc41b59e3bdff65a.jpg" "https://ndownloader.figshare.com/files/41496099"
curl -L -o "baf4f9659c315ced47049ec786bdd2002d563214.jpg" "https://ndownloader.figshare.com/files/41496102"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/41496105"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/41496108"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/41496111"

文件清单

• ffc0862759f943733f5488a1cc41b59e3bdff65a.jpg（17.84 KB）
• baf4f9659c315ced47049ec786bdd2002d563214.jpg（4.61 KB）
• Table_1.xls（9.73 KB）
• Table_2.xls（9.73 KB）
• Table_3.xls（9.73 KB）

文件总体积 51.64 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

This study aimed to analyze factors associated with the unwillingness to prescribe pre-exposure prophylaxis (PrEP) by health care professionals of specialized HIV/AIDS services. This is a cross-sectional study with 252 health care professionals in 29 specialized care services (SCSs) in HIV/AIDS in 21 municipalities in the state of Bahia, Brazil. The inclusion criterion was that the professional had worked for at least six months in the service. Sociodemographic, occupational, and behavioral data were collected using a questionnaire. Logistic regression was performed with an estimation of crude and adjusted odds ratio (OR) and respective 95% confidence intervals (95%CI). The unwillingness to prescribe PrEP was 15.2% (95%CI: 10.8-19.6). The factors associated with unwillingness to prescribe PrEP were non-prescription of HIV self-tests for key populations (adjustedOR = 5.4; 95%CI: 1.3-22.4) nor post-exposure prophylaxis (adjustedOR = 2.00; 95%CI: 1.3-3.1), location of the SCS in the state capital (adjustedOR = 3.9; 95%CI: 1.4-10.2), and SCSs without PrEP offer (adjustedOR = 1.7; 95%CI: 1.1-2.8); professionals who have not reported the need to conduct training and courses (adjustedOR = 1.3; 95%CI: 1.1-1.8), or training with more experienced professionals (adjustedOR = 1.8; 95%CI: 1.1-3.8), was associated with a lower proportion of unwillingness to prescribe PrEP. Our results indicate that health care professionals’ contextual, organizational, and training factors can contribute to PrEP indication. We suggest expanding ongoing training in combined HIV prevention among health care professionals and increasing the availability of PrEP in health services.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.23648223.v1（source: https://scielo.figshare.com/articles/dataset/Unwillingness_to_prescribe_PrEP_by_health_care_professionals_of_specialized_HIV_AIDS_services_in_Northeastern_Brazil/23648223）。