新西兰公共与私人医疗乳腺癌生存差异:哪些因素起作用?

新西兰两个健康地区约1.4万名原发性乳腺癌女性患者的数据,比较公共与私人医疗的生存差异,分析人口、疾病和治疗等因素。

Figshare
2016-04-08 更新
浏览 18
表格health care facilitiesNew ZealandNew Zealand womentreatment factorsBreast Cancer SurvivalCIbreast cancercancer care serviceshealth careMay 2013. PatientsCox regression modelling
Differences in Breast Cancer Survival between Public and Private Care in New Zealand: Which Factors Contribute?

基本信息

模态
表格
大小
0.000030387 GB
许可
CC BY 4.0
创建/更新时间
2016-04-08
版本
v1

资源简介

新西兰公共与私人医疗乳腺癌生存差异:哪些因素起作用?

【数据集背景】

本数据集源站标题为《Differences in Breast Cancer Survival between Public and Private Care in New Zealand: Which Factors Contribute?》。配套论文《Differences in Breast Cancer Survival between Public and Private Care in New Zealand: Which Factors Contribute?》发表于 PLOS ONE(2016),DOI:10.1371/journal.pone.0153206。源站首次发布:2016-04-07。

【数据内容】

源站原始描述:Background Patients who received private health care appear to have better survival from breast cancer compared to those who received public care. This study investigated if this applied to New Zealand women and identified factors that could explain such disparities. Methods This study involved all women who were diagnosed with primary breast cancer in two health regions in New Zealand, covering about 40% of the national population, between June 2000 and May 2013. Patients who received public ca…

【数据结构与技术规格】

文件数 2 个,合计 30.39 KB。S1 Table.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,15.84 KB。S2 Table.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.55 KB。数据集 DOI:10.1371/journal.pone.0153206。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Biotechnology、Developmental Biology、Cancer、Science Policy。主题标签:health care facilities、New Zealand、New Zealand women、treatment factors、Breast Cancer Survival、CI、breast cancer、cancer care services、health care、May 2013. Patients。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Differences_in_Breast_Cancer_Survival_between_Public_and_Private_Care_in_New_Zealand_Which_Factors_Contribute_/3164698

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Tin Tin, Sandar; Mark Elwood, J.; Lawrenson, Ross; Campbell, Ian; Harvey, Vernon; Seneviratne, Sanjeewa (2016). Differences in Breast Cancer Survival between Public and Private Care in New Zealand: Which Factors Contribute?. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-03,引用时请注意版本时效。

下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "S1 Table.DOCX" "https://ndownloader.figshare.com/files/4928158"
curl -L -o "S2 Table.DOCX" "https://ndownloader.figshare.com/files/4928176"

文件清单

  • S1 Table.DOCX(15.84 KB)
  • S2 Table.DOCX(14.55 KB)

文件总体积 30.39 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

Background
Patients who received private health care appear to have better survival from breast cancer compared to those who received public care. This study investigated if this applied to New Zealand women and identified factors that could explain such disparities.
Methods
This study involved all women who were diagnosed with primary breast cancer in two health regions in New Zealand, covering about 40% of the national population, between June 2000 and May 2013. Patients who received public care for primary treatment, mostly surgical treatment, were compared with those who received private care in terms of demographics, mode of presentation, disease factors, comorbidity index and treatment factors. Cox regression modelling was performed with stepwise adjustments, and hazards of breast cancer specific mortality associated with the type of health care received was assessed.
Results
Of the 14,468 patients, 8,916 (61.6%) received public care. Compared to patients treated in private care facilities, they were older, more likely to be Māori, Pacifika or Asian and to reside in deprived neighbourhoods and rural areas, and less likely to be diagnosed with early staged cancer and to receive timely cancer treatments. They had a higher risk of mortality from breast cancer (hazard ratio: 1.95; 95% CI: 1.75, 2.17), of which 80% (95% CI: 63%, 100%) was explained by baseline differences, particularly related to ethnicity, stage at diagnosis and type of loco-regional therapy. After controlling for these demographic, disease and treatment factors, the risk of mortality was still 14% higher in the public sector patients.
Conclusions
Ethnicity, stage at diagnosis and type of loco-regional therapy were the three key contributors to survival disparities between patients treated in public and private health care facilities in New Zealand. The findings underscore the need for more efforts to improve the quality, timeliness and equitability of public cancer care services.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0153206(source: https://plos.figshare.com/articles/dataset/Differences_in_Breast_Cancer_Survival_between_Public_and_Private_Care_in_New_Zealand_Which_Factors_Contribute_/3164698)。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托三甲直采网络,提供合规、去标识化、支持注册级质控的专病数据集交易服务。