马拉维新生儿气泡CPAP使用评估与定性分析

数据集获取（Figshare）

• 源站标题：Facility assessment and qualitative analysis of health worker perspectives on the use of bubble continuous positive airway pressure for neonatal health in Malawi
• DOI：10.6084/m9.figshare.12380480.v1
• 发布日期：2020-06-02
• 文件数：3 个
• 文件总体积：184.19 KB
• 源站页面：https://springernature.figshare.com/articles/dataset/Facility_assessment_and_qualitative_analysis_of_health_worker_perspectives_on_the_use_of_bubble_continuous_positive_airway_pressure_for_neonatal_health_in_Malawi/12380480

命令行下载

curl -L -o "Qualitative dataset.csv" "https://ndownloader.figshare.com/files/22814450"
curl -L -o "Facility assessment.xlsx" "https://ndownloader.figshare.com/files/22814447"
curl -L -o "Detailed description of methodology.docx" "https://ndownloader.figshare.com/files/24702287"

文件清单

• Qualitative dataset.csv（100.54 KB）
• Facility assessment.xlsx（44.63 KB）
• Detailed description of methodology.docx（39.02 KB）

文件总体积 184.19 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

Summary
This dataset consists of one .xlsx, one .docx and one .csv file relating to the “Integrating a neonatal healthcare package for Malawi” project. This project is conducting mixed-methods to understand capacity of quality newborn care and implementation factors for the scale-up of newborn health innovations at health facilities in Malawi. The data are the outputs of a facility assessment tool called the Integrated Maternal, Neonatal and Child Quality of Care Assessment and Improvement Tool (version April 2014) is a standardized facility assessment tool developed by the World Health Organization (WHO) that examines both quality of care as well as quantity and availability. Modules related to neonatal care were used in delivery of the facility survey in four health facilities including three district-level hospitals (two government district hospitals and one private mission hospital)and one primary health centre in southern Malawi in November 2017.
These data could be used by other researchers to understand barriers and facilitators to implementing innovative technologies in resource constrained settings and as a baseline for the scale up of neonatal care packages in Malawi.

Data description

• Facility assessment.xlsx contains the survey outputs of the Integrated Maternal, Neonatal and Child Quality of Care Assessment and Improvement Tool. Variables assessed included infrastructure, ward layout, organisation of care including staffing, emergency care, in patient care, infection control and supportive care, essential drugs, equipment and supplies, case management, and monitoring and follow up. Dimensions of the dataset are by facility, which will be described by type and linked with the qualitative dataset by number of health facility.

• Qualitative dataset.csv contains health worker perspectives on barriers and facilitators to implementation of bubble continuous positive airway pressure (CPAP) and includes the following variables: training, initiation, monitoring, perceptions of health care workers, perceptions of mothers and guardians, daily living activities for neonates, infrastructure and supplies. Dimensions of the dataset are by facility type and heal

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12380480.v1（source: https://springernature.figshare.com/articles/dataset/Facility_assessment_and_qualitative_analysis_of_health_worker_perspectives_on_the_use_of_bubble_continuous_positive_airway_pressure_for_neonatal_health_in_Malawi/12380480）。