减少医疗环境中HIV相关污名和歧视:定量证据的系统评价
收录减少医疗环境中HIV相关污名和歧视干预措施的系统评价定量证据,包括干预分类和效果数据。

基本信息
资源简介
减少医疗环境中HIV相关污名和歧视:定量证据的系统评价
【数据集背景】
本数据集源站标题为《Reducing HIV-related stigma and discrimination in healthcare settings: A systematic review of quantitative evidence》。配套论文《Reducing HIV-related stigma and discrimination in healthcare settings: A systematic review of quantitative evidence》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0211298。源站首次发布:2019-01-25。
【数据内容】
源站原始描述:Introduction Stigma and discrimination (SAD) related to HIV compromise access and adherence to treatment and support programs among people living with HIV (PLHIV). The ambitious goal of ending the epidemic of HIV by 2030 set by the United Nations Joint Program of HIV/AIDS (UNAIDS) will thus only be achieved if HIV-related stigma and discrimination are reduced. The objective of this review was to locate, appraise and describe international literature reporting on interventions that addressed HIV-…
【数据结构与技术规格】
文件数 5 个,合计 203.63 KB。pone.0211298.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,22.39 KB。pone.0211298.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,28.80 KB。pone.0211298.s003.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,91.59 KB。数据集 DOI:10.1371/journal.pone.0211298。
【主题与分类】
源站学科分类:Medicine、Sociology、Cancer、Science Policy、Infectious Diseases。主题标签:attitude、opinion leaders、SAD、Joanna Briggs Institute、professionally-assisted peer group interventions、HIV-related stigma.Further Randomized Controlled Trials、precaution、HIV-related stigma、EMBASE、PLHIV。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Reducing_HIV-related_stigma_and_discrimination_in_healthcare_settings_A_systematic_review_of_quantitative_evidence/7632797
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Feyissa, Garumma Tolu; Lockwood, Craig; Woldie, Mirkuzie; Munn, Zachary (2019). Reducing HIV-related stigma and discrimination in healthcare settings: A systematic review of quantitative evidence. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,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:Reducing HIV-related stigma and discrimination in healthcare settings: A systematic review of quantitative evidence
- DOI:10.1371/journal.pone.0211298
- 发布日期:2019-01-25
- 文件数:5 个
- 文件总体积:203.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Reducing_HIV-related_stigma_and_discrimination_in_healthcare_settings_A_systematic_review_of_quantitative_evidence/7632797
命令行下载
curl -L -o "pone.0211298.s001.docx" "https://ndownloader.figshare.com/files/14179946"
curl -L -o "pone.0211298.s002.docx" "https://ndownloader.figshare.com/files/14179949"
curl -L -o "pone.0211298.s003.docx" "https://ndownloader.figshare.com/files/14179952"
curl -L -o "pone.0211298.s004.docx" "https://ndownloader.figshare.com/files/14179955"
curl -L -o "pone.0211298.s005.docx" "https://ndownloader.figshare.com/files/14179958"
文件清单
pone.0211298.s001.docx(22.39 KB)pone.0211298.s002.docx(28.80 KB)pone.0211298.s003.docx(91.59 KB)pone.0211298.s004.docx(39.69 KB)pone.0211298.s005.docx(21.16 KB)
文件总体积 203.63 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
Stigma and discrimination (SAD) related to HIV compromise access and adherence to treatment and support programs among people living with HIV (PLHIV). The ambitious goal of ending the epidemic of HIV by 2030 set by the United Nations Joint Program of HIV/AIDS (UNAIDS) will thus only be achieved if HIV-related stigma and discrimination are reduced. The objective of this review was to locate, appraise and describe international literature reporting on interventions that addressed HIV-related SAD in healthcare settings.
Methods
The databases searched were: Cumulative Index to Nursing and Allied Health (CINAHL), Excerpta Medica Database from Elsevier (EMBASE), PubMed and Psychological Information (PsycINFO) database. Two individuals independently appraised the quality of the papers using appraisal instruments from the Joanna Briggs Institute (JBI). Data were extracted from papers included in the review using the standardized data extraction tool from JBI. Quality of evidence for major outcomes was assessed using Grading of Recommendations, Assessment, Development and Evaluation (GRADE).
Results
We retained 14 records reporting on eight studies. Five categories of SAD reduction (information-based, skills building, structural, contact-based and biomedical interventions) were identified. Training popular opinion leaders (POLs) resulted in significantly lower mean avoidance intent scores (MD = -1.87 [95% CI -2.05 to -1.69]), mean prejudicial attitude scores (MD = -3.77 [95% CI -5.4 to -2.09]) and significantly higher scores in mean compliance to universal precaution (MD = 1.65 [95% CI 1.41 to 1.89]) when compared to usual care (moderate quality evidence). The Summary of Findings table (SOF) is shown in Table 1.
Conclusions
Evidence of moderate quality indicates that training popular opinion leaders is effective in reducing avoidance intent and prejudicial attitude and improving compliance to universal precaution. Very low quality evidence indicates that professionally-assisted peer group interventions, modular interactive training, participatory self-guided assessment and intervention, contact strategy combined with information giving and empowerment are ef
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0211298(source: https://plos.figshare.com/articles/dataset/Reducing_HIV-related_stigma_and_discrimination_in_healthcare_settings_A_systematic_review_of_quantitative_evidence/7632797)。
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。
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