南非夸祖鲁-纳塔尔省uThukela地区成人抗逆转录病毒治疗失约相关影响因素

数据集获取（Figshare）

• 源站标题：Determining factors associated with missed appointments among adults on anti-retroviral therapy in the uThukela District of KwaZulu-Natal
• DOI：10.25403/UPresearchdata.26999788.v1
• 发布日期：2024-11-19
• 文件数：2 个
• 文件总体积：1.90 MB
• 源站页面：https://researchdata.up.ac.za/articles/dataset/Determining_factors_associated_with_missed_appointments_among_adults_on_anti-retroviral_therapy_in_the_uThukela_District_of_KwaZulu-Natal/26999788

命令行下载

curl -L -o "Dlamini_Factors_2024_Data set.pdf" "https://ndownloader.figshare.com/files/49139848"
curl -L -o "Dlamini_Factors_2024_Questionnaire.pdf" "https://ndownloader.figshare.com/files/49139857"

文件清单

• Dlamini_Factors_2024_Data set.pdf（1.41 MB）
• Dlamini_Factors_2024_Questionnaire.pdf（490.85 KB）

文件总体积 1.90 MB（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

The dataset underpinned a study titled "Factors associated with missed appointments among adults on anti-retroviral therapy in the uThukela District of KwaZulu-Natal, South Africa. A comparative descriptive study using a cross-sectional survey was conducted. Using the convenience sampling technique, 104 adults on ART (missed appointment group = 52, adherent group = 52) were recruited for the study. Data were collected using a structured and validated survey questionnaire. Statistical Package for the Social Sciences (SPSS) version 20 was used for data analysis. Descriptive statistics such as frequencies were used to summarise the results. Inferential statistics namely, Chi-square, Mann-Whitney and Fisher’s exact tests, were used to compare the responses between the groups.

Three (n=3) demographic, seven (n=7) patient-related and eight (n=8) health-related factors were significantly associated with missed appointments (p<0.05). The factors are gender, employment status, HIV status disclosure, stigma, discrimination or isolation, lack of adequate nutrition, side effects of ARVs, mistreatment by the clinic staff, lack of counselling regarding ARVs, use of traditional medicine, lack of transport or transport fare, unacceptable facility setting, unacceptable rendering of HIV services, lack of nutritional support, inadequately prepared clinic staff, lack of comprehensive HIV care package, staff attitudes, dissatisfaction with the quality of services and being turned back without receiving health care services

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.25403/UPresearchdata.26999788.v1（source: https://researchdata.up.ac.za/articles/dataset/Determining_factors_associated_with_missed_appointments_among_adults_on_anti-retroviral_therapy_in_the_uThukela_District_of_KwaZulu-Natal/26999788）。