动脉瘤性蛛网膜下腔出血后结局测量优先级：患者、医疗服务提供者和研究人员的Q-sort调查数据表1

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_Prioritizing outcome measures after aneurysmal subarachnoid hemorrhage: A q-sort survey of patients, health care providers and researchers.PDF
• DOI：10.3389/fneur.2022.1068499.s001
• 发布日期：2022-11-25
• 文件数：1 个
• 文件总体积：1.26 MB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Prioritizing_outcome_measures_after_aneurysmal_subarachnoid_hemorrhage_A_q-sort_survey_of_patients_health_care_providers_and_researchers_PDF/21620742

命令行下载

curl -L -o "Data_Sheet_1_Prioritizing outcome measures after aneurysmal subarachnoid hemorrhage: A q-sort survey of patients, health care providers and researcher.PDF" "https://ndownloader.figshare.com/files/38316783"

文件清单

• Data_Sheet_1_Prioritizing outcome measures after aneurysmal subarachnoid hemorrhage: A q-sort survey of patients, health care providers and researcher.PDF（1.26 MB）

文件总体积 1.26 MB（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

ObjectiveTo understand which outcome measures patients and their families, health care providers, and researchers prioritize after aneurysmal subarachnoid hemorrhage (aSAH).
MethodsWe conducted a cross-sectional q-sort survey with participants from three key stakeholder groups. Potential outcomes were identified from interviews and focus groups. Participants were purposively sampled to achieve diversity based on stakeholder group, geography, and profession. Respondents sorted 27 outcomes in a quasi-normally distributed grid (Q-Sort) from most to least important. Principal components analysis was used to determine similarities in the way participants sorted the outcome measures resulting in distinct groupings. Overall rankings were also reported.
Results112 participants were invited. 70 responded and 64 participants from 25 different countries completed a Q-sort. Balanced stakeholder representation was achieved. Five distinct patterns were identified based on survival, pathophysiological, psychological, resource use, and functional outcome measures. Quality of life as reported by the patient was the highest ranked outcome measure followed by independence and functional measures. Survival and biomedical outcomes were ranked in the middle and cost measures last.
ConclusionsIn this diverse sample of key stakeholders, we characterized several distinct perspectives with respect to outcome measure selection in aSAH. We did not identify a clear pattern of opinion based on stakeholder group or other participant characteristics. Patient-reported measure of quality of life was ranked the most important overall with function and independence also highly rated. These results will assist study design and inform efforts to improve outcome selection in aSAH research.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2022.1068499.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Prioritizing_outcome_measures_after_aneurysmal_subarachnoid_hemorrhage_A_q-sort_survey_of_patients_health_care_providers_and_researchers_PDF/21620742）。