老挝人民民主共和国HIV护理高额自付费用导致受影响患者灾难性支出的证据
老挝HIV/AIDS患者自付费用调查数据,评估灾难性支出及其社会经济影响因素。

基本信息
资源简介
老挝人民民主共和国HIV护理高额自付费用导致受影响患者灾难性支出的证据
【数据集背景】
本数据集源站标题为《Evidence of High Out of Pocket Spending for HIV Care Leading to Catastrophic Expenditure for Affected Patients in Lao People''s Democratic Republic》。配套论文《Evidence of High Out of Pocket Spending for HIV Care Leading to Catastrophic Expenditure for Affected Patients in Lao People''s Democratic Republic》发表于 PLOS ONE(2015),DOI:10.1371/journal.pone.0136664。源站首次发布:2015-09-01。
【数据内容】
源站原始描述:Background The scaling up of antiviral treatment (ART) coverage in the past decade has increased access to care for numerous people living with HIV/AIDS (PLWHA) in low-resource settings. Out-of-pocket payments (OOPs) represent a barrier for healthcare access, adherence and ART effectiveness, and can be economically catastrophic for PLWHA and their family. We evaluated OOPs of PLWHA attending outpatient and inpatient care units and estimated the financial burden for their households in the Lao Pe…
【数据结构与技术规格】
文件数 3 个,合计 137.86 KB。S1_Dataset.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,110.30 KB。S1_Table.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,15.03 KB。S2_Table.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,12.53 KB。数据集 DOI:10.1371/journal.pone.0136664。
【主题与分类】
源站学科分类:Uncategorised。主题标签:plwha、Lao People、coef、Democratic Republic BackgroundThe、Multivariate analysis、health insurance coverage.MethodsWe、spending、ci、outpatient、inpatient care units。
【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/_Evidence_of_High_Out_of_Pocket_Spending_for_HIV_Care_Leading_to_Catastrophic_Expenditure_for_Affected_Patients_in_Lao_People_s_Democratic_Republic_/1532464
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Barennes, Hubert; Frichittavong, Amphonexay; Gripenberg, Marissa; Koffi, Paulin (2016). Evidence of High Out of Pocket Spending for HIV Care Leading to Catastrophic Expenditure for Affected Patients in Lao People''s Democratic Republic. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,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:Evidence of High Out of Pocket Spending for HIV Care Leading to Catastrophic Expenditure for Affected Patients in Lao People’'s Democratic Republic
- DOI:10.1371/journal.pone.0136664
- 发布日期:2015-09-01
- 文件数:3 个
- 文件总体积:137.86 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_Evidence_of_High_Out_of_Pocket_Spending_for_HIV_Care_Leading_to_Catastrophic_Expenditure_for_Affected_Patients_in_Lao_People_s_Democratic_Republic_/1532464
命令行下载
curl -L -o "S1_Dataset.xlsx" "https://ndownloader.figshare.com/files/2249162"
curl -L -o "S1_Table.docx" "https://ndownloader.figshare.com/files/2249163"
curl -L -o "S2_Table.docx" "https://ndownloader.figshare.com/files/2249164"
文件清单
S1_Dataset.xlsx(110.30 KB)S1_Table.docx(15.03 KB)S2_Table.docx(12.53 KB)
文件总体积 137.86 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
The scaling up of antiviral treatment (ART) coverage in the past decade has increased access to care for numerous people living with HIV/AIDS (PLWHA) in low-resource settings. Out-of-pocket payments (OOPs) represent a barrier for healthcare access, adherence and ART effectiveness, and can be economically catastrophic for PLWHA and their family. We evaluated OOPs of PLWHA attending outpatient and inpatient care units and estimated the financial burden for their households in the Lao People’'s Democratic Republic. We assumed that such OOPs may result in catastrophic health expenses in this context with fragile economical balance and low health insurance coverage.
Methods
We conducted a cross-sectional survey of a randomized sample of routine outpatients and a prospective survey of consecutive new inpatients at two referral hospitals (Setthathirat in the capital city, Savannaket in the province). After obtaining informed consent, PLWHA were interviewed using a standardized 82-item questionnaire including information on socio-economic characteristics, disease history and coping strategies. All OOPs occurring during a routine visit or a hospital stay were recorded. Household capacity-to-pay (overall income minus essential expenses), direct and indirect OOPs, OOPs per outpatient visit and per inpatient stay as well as catastrophic spending (greater than or equal to 40% of the capacity-to-pay) were calculated. A multivariate analysis of factors associated with catastrophic spending was conducted.
Results
A total of 320 PLWHA [280 inpatients and 40 outpatients; 132 (41.2%) defined as poor, and 269 (84.1%) on ART] were enrolled. Monthly median household income, essential expenses and capacity-to-pay were US$147.0 (IQR: 86–242), $126 (IQR: 82–192) and $14 (IQR: 19–80), respectively. At the provincial hospital OOPs were higher during routine visits, but three fold lower during hospitalization than in the central hospital ($21.0 versus $18.5 and $110.8 versus $329.8 respectively (pConclusion
PLWHA’s households face catastrophic OOPs that are not directly attributable to the cost of ART or to follow-up tests, particularly during a hospitalization period. Transporta
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0136664(source: https://plos.figshare.com/articles/dataset/_Evidence_of_High_Out_of_Pocket_Spending_for_HIV_Care_Leading_to_Catastrophic_Expenditure_for_Affected_Patients_in_Lao_People_s_Democratic_Republic_/1532464)。
数据缺失?
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