表2_低资源环境下住院儿童家庭辅助疾病严重程度监测——双臂干预可行性研究.DOCX

数据集获取（Figshare）

• 源站标题：Table_2_Family-Assisted Severity of Illness Monitoring for Hospitalized Children in Low-Resource Settings—A Two-Arm Interventional Feasibility Study.DOCX
• DOI：10.3389/fped.2022.804346.s002
• 发布日期：2022-05-23
• 文件数：1 个
• 文件总体积：80.39 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_2_Family-Assisted_Severity_of_Illness_Monitoring_for_Hospitalized_Children_in_Low-Resource_Settings_A_Two-Arm_Interventional_Feasibility_Study_DOCX/19822618

命令行下载

curl -L -o "Table_2_Family-Assisted Severity of Illness Monitoring for Hospitalized Children in Low-Resource Settings—A Two-Arm Interventional Feasibility Study.DOCX" "https://ndownloader.figshare.com/files/35230942"

文件清单

• Table_2_Family-Assisted Severity of Illness Monitoring for Hospitalized Children in Low-Resource Settings—A Two-Arm Interventional Feasibility Study.DOCX（80.39 KB）

文件总体积 80.39 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

IntroductionPediatric mortality remains unacceptably high in many low-resource settings, with inpatient deaths often associated with delayed recognition of clinical deterioration. The Family-Assisted Severe Febrile Illness ThERapy (FASTER) tool has been developed for caregivers to assist in monitoring their hospitalized children and alert clinicians. This study evaluates feasibility of implementation by caregivers and clinicians.
MethodsRandomized controlled feasibility study at Kenyatta National Hospital, Kenya. Children hospitalized with acute febrile illness with caregivers at the bedside for 24 h were enrolled. Caregivers were trained using the FASTER tool. The primary outcome was the frequency of clinician reassessments between intervention (FASTER) and standard care arms. Poisson regression with random intercept for grouping by patient was used, adjusting for admission pediatric early warning score, age, gender. Secondary outcomes included survey assessments of clinician and caregiver experiences with FASTER.
ResultsOne hundred and fifty patient/caregiver pairs were enrolled, 139 included in the analysis, 74 in the intervention, 65 in the control arm. Patients’’ median age was 0.9 (range 0.2–10) and 1.1 years (range 0.2–12) in intervention vs. control arms. The most common diagnoses were pneumonia (80[58%]), meningitis (58[38%]) and malaria (34 [24%]). 134 (96%) caregivers were patients’’ mothers. Clinician visits/hour increased with patients’’ illness severity in both arms, but without difference in frequency between arms (point estimate for difference −0.9%, p = 0.97). Of the 16 deaths, 8 (four/arm) occurred within 2 days of enrollment. Forty clinicians were surveyed, 33 (82%) reporting that FASTER could improve outcomes of very sick children in low-resource settings; 26 (65%) rating caregivers as able to adequately capture patients’’ severity of illness. Of 70 caregivers surveyed, 63 (90%) reported that FASTER training was easy to understand; all (100%) agreed that the intervention would improve care of hospitalized children and help identify sick children in their community.
DiscussionWe observed no difference in recorded frequency of clinician visits with

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fped.2022.804346.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_2_Family-Assisted_Severity_of_Illness_Monitoring_for_Hospitalized_Children_in_Low-Resource_Settings_A_Two-Arm_Interventional_Feasibility_Study_DOCX/19822618）。