排除文章的Excel文件

神经退行性疾病处方影响因素快速综述中排除文章的Excel列表

Figshare
2025-05-06 更新
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表格three independent reviewersrapid review aimspatients &# 8217optimise treatment choiceg .levelg .lackfamily members ).influence healthcare professionalshealthcare system groupsoptimising prescribing practicesfactors primarily relatedbehaviour change techniques
Excel file of Excluded articles.

基本信息

模态
表格
大小
0.000840041 GB
许可
CC BY 4.0
创建/更新时间
2025-05-06
版本
v1

资源简介

排除文章的Excel文件

【数据集背景】

本数据集源站标题为《Excel file of Excluded articles.》。源站首次发布:2025-05-06。

【数据内容】

源站原始描述:Background The incidence and prevalence of neurodegenerative diseases (NDs) are growing worldwide. In an environment where healthcare resources are already stretched, it is important to optimise treatment choice to help alleviate healthcare burden. This rapid review aims to consolidate evidence on factors that influence healthcare professionals (HCPs) to prescribe medication for NDs and map them to theoretical models of behaviour change to identify the behavioural determinants that may support i…

【数据结构与技术规格】

文件数 1 个,合计 840.04 KB。pone.0322324.s006.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,840.04 KB。数据集 DOI:10.1371/journal.pone.0322324.s006。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Pharmacology、Ecology、Sociology、Biological Sciences not elsewhere classified。主题标签:three independent reviewers、rapid review aims、patients &# 8217、optimise treatment choice、g ., level、g ., lack、family members ).、influence healthcare professionals、healthcare system groups、optimising prescribing practices。

【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/Excel_file_of_Excluded_articles_/28940497

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

规范引用:Begley, Emma; Thomas, Jason; Senior, Carl (2025). Excel file of Excluded articles.. PLOS ONE. Dataset

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下载信息

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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。

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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)

命令行下载

curl -L -o "pone.0322324.s006.xlsx" "https://ndownloader.figshare.com/files/54250945"

文件清单

  • pone.0322324.s006.xlsx(840.04 KB)

文件总体积 840.04 KB(源站 API 实测)。

数据说明

Background
The incidence and prevalence of neurodegenerative diseases (NDs) are growing worldwide. In an environment where healthcare resources are already stretched, it is important to optimise treatment choice to help alleviate healthcare burden. This rapid review aims to consolidate evidence on factors that influence healthcare professionals (HCPs) to prescribe medication for NDs and map them to theoretical models of behaviour change to identify the behavioural determinants that may support in optimising prescribing.
Methods and findings
Embase and Ovid MEDLINE were used to identify relevant empirical research studies. Screening, data extraction and quality assessment were carried out by three independent reviewers to ensure consistency. Factors influencing prescribing were mapped to the Theoretical Domains Framework (TDF) and key behavioural determinants were described using the Capability, Opportunity, Motivation – Behaviour (COM-B) model. An initial 3,099 articles were identified, of which 53 were included for data extraction. Fifty-six factors influencing prescribing were identified and categorised into patient, HCP or healthcare system groups, then mapped to TDF and COM-B domains. Prescribing was influenced by capability of HCPs, namely factors mapped to decision making (e.g., patient age or symptom burden) and knowledge (e.g., clinical understanding) behavioural domains. However, most factors were influenced by HCP opportunity, underpinned by factors mapped to social (e.g., prescribing support or culture) and contextual (e.g., lack of resources or medication availability) domains. Less evidence was available on factors influencing the motivation of HCPs, where evident; factors primarily related to HCP belief about consequences (e.g., side effects) and professional identify (e.g., level of specialism) were often described.
Conclusions
This systematic analysis of the literature provides an in-depth understanding of the behavioural determinants that may support in optimising prescribing practices (e.g., drug costs or pressure from patients’ family members). Understanding these approaches provides an opportunity to identify relevant intervention functions a

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0322324.s006(source: https://plos.figshare.com/articles/dataset/Excel_file_of_Excluded_articles_/28940497)。

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