埃塞俄比亚下背痛医疗利用决定因素测量工具开发与验证数据集

数据集获取（Figshare）

• 源站标题：The development and validation of a measurement instrument to investigate determinants of health care utilisation for low back pain in Ethiopia
• DOI：10.1371/journal.pone.0227801
• 发布日期：2020-01-16
• 文件数：3 个
• 文件总体积：300.02 KB
• 源站页面：https://plos.figshare.com/articles/dataset/The_development_and_validation_of_a_measurement_instrument_to_investigate_determinants_of_health_care_utilisation_for_low_back_pain_in_Ethiopia/11631114

命令行下载

curl -L -o "pone.0227801.s001.sav" "https://ndownloader.figshare.com/files/21090699"
curl -L -o "pone.0227801.s002.docx" "https://ndownloader.figshare.com/files/21090702"
curl -L -o "pone.0227801.s003.docx" "https://ndownloader.figshare.com/files/21090705"

文件清单

• pone.0227801.s001.sav（153.20 KB）
• pone.0227801.s002.docx（70.56 KB）
• pone.0227801.s003.docx（76.27 KB）

文件总体积 300.02 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

Introduction and objectives
Low back pain (LBP) is a highly prevalent and disabling public health problem globally. However, little is known about factors affecting health care utilisation for optimal management of the pain, and there is no validated instrument to derive epidemiological data for a better understanding of these factors. The aim of this study was to develop and validate an instrument used to measure determinants of health care utilisation for LBP in Ethiopia.
Methods
The relevant domains of potential determinants of health care utilisation for LBP were identified following a comprehensive review of the literature. Items relating to each domain were then generated by considering the context of Ethiopia, and where necessary, existing items were adapted. The instrument was then translated, and an expert panel reviewed the instrument for content validity, clarity and any other suggestions. Using the data collected from 1303 adults with LBP, factorial validity was assessed by conducting principal component and parallel analyses. Internal consistency reliability was also assessed using Cronbach’s alpha. Intraclass correlation coefficient (ICC) and Cohen Kappa statistic were calculated to evaluate temporal stability of the instrument.
Results
Parallel analysis showed that there were six components with Eigenvalues (obtained from principal component analysis) exceeding the corresponding criterion values for a randomly generated data matrix of the same size. Cronbach’s alpha for the internal consistency reliability ranged from 0.65 to 0.82. In assessing temporal stability, ICC ranged from 0.60, 95% CI: 0.23–0.98 to 0.95, 95% CI: 0.81–1.00 while Cohen Kappa ranged from 0.72, 95% CI: 0.49–0.94 to 0.93, 95% CI: 0.85–1.00.
Conclusions
This study demonstrated that the newly developed instrument has an overall good level of content and factorial validity, internal consistency reliability, and temporal stability. In this way, this instrument is appropriate for measuring determinants of health care utilisation among people with LBP in Ethiopia.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0227801（source: https://plos.figshare.com/articles/dataset/The_development_and_validation_of_a_measurement_instrument_to_investigate_determinants_of_health_care_utilisation_for_low_back_pain_in_Ethiopia/11631114）。