最终数据集
尼泊尔高血压患者健康保险登记与药物依从性关联的横断面调查数据。

基本信息
资源简介
最终数据集
【数据集背景】
本数据集源站标题为《Final data set.》。源站首次发布:2025-09-19。
【数据内容】
源站原始描述:Introduction Noncompliance of medication among patients with chronic disease is a major challenge for the health system. Expanding of national health insurance among patients might increase their access to health care services, reduce out of pocket expenditures, and improve health outcomes. This study aimed to determine the association between enrollment in health insurance and medication adherence among hypertensive patients in Nepal. Methods A cross-sectional study was conducted among 402 pati…
【数据结构与技术规格】
文件数 1 个,合计 69.39 KB。pone.0332602.s001.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,69.39 KB。数据集 DOI:10.1371/journal.pone.0332602.s001。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Sociology、Cancer、Science Policy、Mental Health。主题标签:25 &# 8211、improve health outcomes、health professionals also、health care services、91 ); compared、xlink "> overall、xlink "> noncompliance、national health insurance、tikapur hospital located、secondary level education。
【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/Final_data_set_/30167411
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Dangaura, Nripa Raj; Khanal, Pratik; Kuikel, Bihari Sharan; Marasini, Sabina; Timilsina, Ashish; Joshi, Prakash Chandra; et al. (2025). Final data set.. PLOS ONE. Dataset
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。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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。
使用方式
数据集获取(Figshare)
- 源站标题:Final data set.
- DOI:10.1371/journal.pone.0332602.s001
- 发布日期:2025-09-19
- 文件数:1 个
- 文件总体积:69.39 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Final_data_set_/30167411
命令行下载
curl -L -o "pone.0332602.s001.xlsx" "https://ndownloader.figshare.com/files/58101029"
文件清单
pone.0332602.s001.xlsx(69.39 KB)
文件总体积 69.39 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
Introduction
Noncompliance of medication among patients with chronic disease is a major challenge for the health system. Expanding of national health insurance among patients might increase their access to health care services, reduce out of pocket expenditures, and improve health outcomes. This study aimed to determine the association between enrollment in health insurance and medication adherence among hypertensive patients in Nepal.
Methods
A cross-sectional study was conducted among 402 patients visiting the outpatient department of Tikapur Hospital located in Kailali, Nepal. Data was collected by face-to-face interviews using a structured questionnaire. Adherence to hypertensive medication was assessed using the Hill Bone Medication Adherence Scale (HB-MAS). A multivariable logistic regression model was constructed to ascertain the association between enrollment in health insurance and medication adherence.
Results
Overall, 52.7% (60.2% of uninsured and 45.3% of insured) of the patients was medication adherence. Enrollment in health insurance was not significantly associated with medication adherence. The participants among those who had reported more than secondary level education was higher odds of medication adherence (AOR = 3.30; 95% CI: 1.25–8.73); those who reported more than five minutes of interaction with doctors (AOR = 2.97; 95% CI: 1.56–5.65); those on medication for more than 10 years had higher odds of adherence (AOR:2.56; 95% CI:1.35-4.86); aged group 50-59 years was lower odds of medicatio n (AOR = 0.46; 95% CI: 0.23-0.91); compared to patients with no formal education;those who reported less than or equal to 5 minutes of interaction with doctors; those who had less than 5 years of medication; participants younger than 50 years respectively.
Conclusion
Our study showed that enrollment in health insurance was not associated with medication adherence among patients with hypertension. Health system interventions such as improving counseling, patient education, and follow-up, and ensuring availability of medicines might improve medication adherence among patients. Health professionals also should set up education, and interventions aimed at incre
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0332602.s001(source: https://plos.figshare.com/articles/dataset/Final_data_set_/30167411)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




