关节炎患者的不同护理轨迹：两年状态序列分析数据表

数据集获取（Figshare）

• 源站标题：Datasheet1_Distinct care trajectories among persons living with arthritic conditions: A two-year state sequence analysis.pdf
• DOI：10.3389/fpain.2022.1014793.s001
• 发布日期：2022-11-12
• 文件数：1 个
• 文件总体积：374.94 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Datasheet1_Distinct_care_trajectories_among_persons_living_with_arthritic_conditions_A_two-year_state_sequence_analysis_pdf/21545604

命令行下载

curl -L -o "Datasheet1_Distinct care trajectories among persons living with arthritic conditions: A two-year state sequence analysis.pdf" "https://ndownloader.figshare.com/files/38189268"

文件清单

• Datasheet1_Distinct care trajectories among persons living with arthritic conditions: A two-year state sequence analysis.pdf（374.94 KB）

文件总体积 374.94 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

ObjectivesDeveloping solutions to optimize care trajectories (CareTs) requires examining patient journeys through the health care system. This study aimed to describe CareTs among people living with arthritis and evaluate their association with self-reported health outcomes.
MethodsAnalyses were conducted using the TorSaDE Cohort (n = 102,148), which connects the 2007 to 2016 Canadian Community Health Surveys (CCHS) with Quebec administrative databases (longitudinal claims). CareTs of participants living with arthritis according to CCHS (n = 16,631), over the two years before CCHS completion, were clustered using state sequence analysis (months as a time unit). CareT group membership was then put in association with self-reported outcomes (pain intensity and interference, self-perceived general and mental health).
ResultsThe analysis revealed five CareT groups characterized predominantly by: (1) arthritis-related visits to a specialist (n = 2,756; 16.6%), (2) arthritis-related emergency department visits (n = 2,928; 17.6%), (3) very high all-cause health care utilization and arthritis-related hospitalizations (n = 1,570; 9.4%), (4) arthritis-related medical visits to general practitioners and specialists (n = 2,708; 16.3%), (5) low all-cause health care utilization (n = 6,669; 40.1%). Multivariable results revealed that CareT group membership was associated with higher levels of pain interference (CareT group #3 vs. #5: OR: 1.4, 95%CI: 1.1–1.8) and fair/poor self-perceived general health (CareT group #1 vs. #5: OR: 1.551, 95%CI: 1.319–1.824; #2 vs. #5: OR: 1.244, 95%CI: 1.062–1.457; #3 vs. #5: OR: 1.771, 95%CI: 1.451–2.162; #4 vs. #5: OR: 1.481, 95%CI: 1.265–1.735).
DiscussionSate sequence analysis is an innovative method of studying CareTs and valuable for making evidence-based decisions taking into account inter- and intra-individual variability.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpain.2022.1014793.s001（source: https://frontiersin.figshare.com/articles/dataset/Datasheet1_Distinct_care_trajectories_among_persons_living_with_arthritic_conditions_A_two-year_state_sequence_analysis_pdf/21545604）。