卫生专业人员心脏骤停知识相关因素数据集

数据集获取（Figshare）

• 源站标题：Factors Associated to the Knowledge of Cardiac Arrest by Health Professionals
• DOI：10.6084/m9.figshare.12094863.v1
• 发布日期：2020-04-08
• 文件数：4 个
• 文件总体积：22.53 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Factors_Associated_to_the_Knowledge_of_Cardiac_Arrest_by_Health_Professionals/12094863

命令行下载

curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/22241571"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/22241577"
curl -L -o "Table_3.xls" "https://ndownloader.figshare.com/files/22241580"
curl -L -o "Table_4.xls" "https://ndownloader.figshare.com/files/22241583"

文件清单

• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）
• Table_3.xls（5.63 KB）
• Table_4.xls（5.63 KB）

文件总体积 22.53 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

Abstract Background: Knowledge of cardiac arrest by health professionals is associated with sociodemographic, occupational and training characteristics. Objectives: To evaluate the factors associated with the knowledge of health professionals on Cardiac Arrest. Methods: A cross-sectional study conducted in a large public hospital in the countryside of Bahia - Brazil. The sample consisted of 18 doctors, 32 nurses and 50 nursing technicians. To evaluate the knowledge of the professionals, a questionnaire was constructed according to the current guidelines for resuscitation of the American Heart Association of 2015, and after that, it was submitted to three judges with expertise in PCR to verify content validity. Data were analyzed through descriptive statistics with univariate, bivariate and multivariate analyses using the logistic regression model. A value of p < 0.05 was adopted as level of significance. Results: The prevalence of insufficient knowledge of cardiac arrest among health professionals was 78%. After logistic regression, belonging to the professional category of nursing technician (p = 0.003) and nurse (p = 0.001) and working in the form of on-call duty for 24h (p = 0.005) was associated to insufficient knowledge. Conclusions: Insufficient knowledge of cardiac arrest among health professionals is high, which is a problem that requires urgent interventions in order to guarantee the quality of care. These actions should be based on realistic scenarios involving theoretical and practical activities. The periodicity of training should be short, given the deterioration of knowledge. The creation and validation of the data collection instrument allows for its applicability in other studies.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12094863.v1（source: https://scielo.figshare.com/articles/dataset/Factors_Associated_to_the_Knowledge_of_Cardiac_Arrest_by_Health_Professionals/12094863）。