应用计划行为理论理解基层医疗机构医生与急性呼吸道感染患者的共享决策：一项横断面研究——数据表1（PDF）

数据集获取（Figshare）

• 源站标题：DataSheet1_Applying Theory of Planned Behavior to Understand Physicians’ Shared Decision-Making With Patients With Acute Respiratory Infections in Primary Care: A Cross-Sectional Study.PDF
• DOI：10.3389/fphar.2021.785419.s001
• 发布日期：2022-01-27
• 文件数：1 个
• 文件总体积：119.54 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet1_Applying_Theory_of_Planned_Behavior_to_Understand_Physicians_Shared_Decision-Making_With_Patients_With_Acute_Respiratory_Infections_in_Primary_Care_A_Cross-Sectional_Study_PDF/19075064

命令行下载

curl -L -o "DataSheet1_Applying Theory of Planned Behavior to Understand Physicians’ Shared Decision-Making With Patients With Acute Respiratory Infections in Pri.PDF" "https://ndownloader.figshare.com/files/33901760"

文件清单

• DataSheet1_Applying Theory of Planned Behavior to Understand Physicians’ Shared Decision-Making With Patients With Acute Respiratory Infections in Pri.PDF（119.54 KB）

文件总体积 119.54 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: To understand the physicians’ shared decision-making behavior (SDM) with patients with acute respiratory infections (ARIs) based on the theory of planned behavior (TPB) and identify barriers to the implementation of SDM in primary care.
Methods: A cross-sectional study of 617 primary care physicians was conducted in primary facilities in Hubei province, China from December 2019 to January 2020. A self-administered questionnaire based on TPB theory was applied for measuring the physicians’ SDM behavior with patients presenting with ARIs.
Results: The proposed TPB model revealed that attitude and subjective norms predicted behavior intention, and behavior intention was one significant predictor of SDM behavior (p Conclusion: The TPB theory provides insights for understanding physicians’ SDM behavior with patients with ARIs in primary care. Since attitudes, subjective norms, and behavior intention were demonstrated as significant predictors of SDM behavior, these may be a promising focus of SDM interventions based on TPB theory. The results of the TPB model and potential barriers of SDM behavior would help determine future directions for SDM training and educating the public.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fphar.2021.785419.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet1_Applying_Theory_of_Planned_Behavior_to_Understand_Physicians_Shared_Decision-Making_With_Patients_With_Acute_Respiratory_Infections_in_Primary_Care_A_Cross-Sectional_Study_PDF/19075064）。