HIV陈述偏好研究:范围综述
HIV领域陈述偏好研究(DCE、CA、BWS)的范围综述数据集,汇总57项研究,涵盖预防、检测、服务及治疗主题。

基本信息
资源简介
HIV陈述偏好研究:范围综述
【数据集背景】
本数据集源站标题为《Stated-preference research in HIV: A scoping review》。配套论文《Stated-preference research in HIV: A scoping review》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0224566。源站首次发布:2019-10-30。
【数据内容】
源站原始描述:Discrete choice experiments (DCE), conjoint analysis (CA), and best-worst scaling (BWS) are quantitative techniques for estimating consumer preferences for products or services. These methods are increasingly used in healthcare research, but their applications within the field of HIV research have not yet been described. The objective of this scoping review was to systematically map the extent and nature of published DCE, CA, and BWS studies in the field of HIV and identify priority areas where…
【数据结构与技术规格】
文件数 3 个,合计 162.92 KB。pone.0224566.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,109.67 KB。pone.0224566.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,38.24 KB。pone.0224566.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,15.01 KB。数据集 DOI:10.1371/journal.pone.0224566。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。主题标签:future stated-preference research、scoping review Discrete choice experiments、DCE、CA、stated-preference research methods、IQR、HIV、BWS studies、scoping review。
【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/Stated-preference_research_in_HIV_A_scoping_review/10085981
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Humphrey, John M.; Naanyu, Violet; MacDonald, Katherine R.; Wools-Kaloustian, Kara; Zimet, Gregory D. (2019). Stated-preference research in HIV: A scoping review. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,引用时请注意版本时效。
下载信息
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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:Stated-preference research in HIV: A scoping review
- DOI:10.1371/journal.pone.0224566
- 发布日期:2019-10-30
- 文件数:3 个
- 文件总体积:162.92 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Stated-preference_research_in_HIV_A_scoping_review/10085981
命令行下载
curl -L -o "pone.0224566.s001.docx" "https://ndownloader.figshare.com/files/18184847"
curl -L -o "pone.0224566.s002.docx" "https://ndownloader.figshare.com/files/18184853"
curl -L -o "pone.0224566.s003.xlsx" "https://ndownloader.figshare.com/files/18184862"
文件清单
pone.0224566.s001.docx(109.67 KB)pone.0224566.s002.docx(38.24 KB)pone.0224566.s003.xlsx(15.01 KB)
文件总体积 162.92 KB(源站 API 实测)。
数据说明
Discrete choice experiments (DCE), conjoint analysis (CA), and best-worst scaling (BWS) are quantitative techniques for estimating consumer preferences for products or services. These methods are increasingly used in healthcare research, but their applications within the field of HIV research have not yet been described. The objective of this scoping review was to systematically map the extent and nature of published DCE, CA, and BWS studies in the field of HIV and identify priority areas where these methods can be used in the future. Online databases were searched to identify published HIV-related DCE, CA and BWS studies in any country and year as the primary outcome. After screening 1,496 citations, 57 studies were identified that were conducted in 26 countries from 2000–2017. The frequency of published studies increased over time and covered HIV themes relating to prevention (n = 25), counselling and testing (n = 10), service delivery (n = 10), and antiretroviral therapy (n = 12). Most studies were DCEs (63%) followed by CA (37%) and BWS (4%). The median [IQR] sample size was 288 [138–496] participants, and 74% of studies used primary qualitative data to develop attributes. Only 30% of studies were conducted in sub-Saharan Africa where the burden of HIV is highest. Moreover, few studies surveyed key populations including men who have sex with men, transgender people, pregnant and postpartum women, adolescents, and people who inject drugs. These populations represent priorities for future stated-preference research. This scoping review can help researchers, policy makers, program implementers, and health economists to better understand the various applications of stated-preference research methods in the field of HIV.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0224566(source: https://plos.figshare.com/articles/dataset/Stated-preference_research_in_HIV_A_scoping_review/10085981)。
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