映射TDF领域到COM-B模型

基于访谈数据,利用TDF和COM-B模型分析公众对无人机递送AED用于心脏骤停的态度与干预措施。

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2025-12-03 更新
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文本theoretical domains frameworkincreases patient survivalidentified several issueshospital cardiac arrestfive key themesexisting training programmesconducted 14 remoteautomated external defibrillatorssalient potential interventioncomprehensive intervention frameworkidentify perceived barriersbystanders &# 8217
Mapping the TDF domains to the COM-B model

基本信息

模态
文本
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2025-12-03
版本
v1

资源简介

映射TDF领域到COM-B模型

【数据集背景】

本数据集源站标题为《Mapping the TDF domains to the COM-B model.》。源站首次发布:2025-12-03。

【数据内容】

源站原始描述:Background Early cardiopulmonary resuscitation (CPR) and defibrillation with Automated External Defibrillators (AEDs) by the public at an out-of-hospital cardiac arrest (OHCA) increases patient survival, but AEDs are infrequently used. Using drones to deliver AEDs may be one way to increase uptake, but there is limited understanding about what members of the public think about this. The aim of the study was to explore public attitudes towards drone AED delivery for OHCA. Methods We conducted 14…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0337082.t001。

【主题与分类】

源站学科分类:Cell Biology、Neuroscience、Pharmacology、Biotechnology、Evolutionary Biology、Sociology。主题标签:theoretical domains framework、increases patient survival、identified several issues、hospital cardiac arrest、five key themes、existing training programmes、conducted 14 remote、automated external defibrillators、salient potential intervention、comprehensive intervention framework。

【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/Mapping_the_TDF_domains_to_the_COM-B_model_/30778845

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

规范引用:Bernstein, Celia J.; Smith, Christopher M.; Powell, Carl; O’Sullivan, Mary; Holt, Mark; Couper, Keith; et al. (2025). Mapping the TDF domains to the COM-B model.. PLOS ONE. Dataset

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/60079893"

文件清单

  • Table 1.xls(5.63 KB)

文件总体积 5.63 KB(源站 API 实测)。

数据说明

Background
Early cardiopulmonary resuscitation (CPR) and defibrillation with Automated External Defibrillators (AEDs) by the public at an out-of-hospital cardiac arrest (OHCA) increases patient survival, but AEDs are infrequently used. Using drones to deliver AEDs may be one way to increase uptake, but there is limited understanding about what members of the public think about this. The aim of the study was to explore public attitudes towards drone AED delivery for OHCA.
Methods
We conducted 14 remote, semi-structured interviews with real-life OHCA bystanders. Participants were recruited via social media, a UK cardiac arrest survivor charity and the Welsh Ambulance Services University NHS Trust. We analysed data using the Theoretical Domains Framework and mapped findings to the Capability, Opportunity and Motivation model of Behaviour (COM-B) to identify perceived barriers and facilitators to the retrieval and use of drone-delivered AEDs. We used The Behaviour Change Wheel to identify potential interventions to optimise use of drone-delivered AEDs.
Results
Participants experienced varying levels of physical and social opportunities in relation to (un)available AEDs and (in)appropriate support from the call-handler, affecting the likelihood of them performing CPR and/or using an AED effectively. Most participants were unsure about how to use an AED, and none knew how a drone-delivered AED system would work in practice. Many participants questioned whether they would possess sufficient capability and motivation to retrieve and/or operate a drone-delivered AED during a time-critical emergency. There were five key themes for potential interventions: incorporating information about drone-delivered AED use into pre-existing training programmes and materials; ensuring drone use complies with specific regulatory and/or legislative requirements; making the drone-delivered AED easy to identify and access; optimising call-handler scripts to incorporate drone-delivered AED use; providing social support via a robust co-responder model to complement drone-delivered AED use.
Conclusions
Participants accepted drone-delivered AEDs for OHCA, but were unsure if it would be effecti

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0337082.t001(source: https://plos.figshare.com/articles/dataset/Mapping_the_TDF_domains_to_the_COM-B_model_/30778845)。

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