Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?

IF 2 Q3 HEALTH POLICY & SERVICES
Iman Hesso , Reem Kayyali , Lithin Zacharias , Andreas Charalambous , Maria Lavdaniti , Evangelia Stalika , Tarek Ajami , Wanda Acampa , Jasmina Boban , Shereen Nabhani Gebara
{"title":"Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?","authors":"Iman Hesso ,&nbsp;Reem Kayyali ,&nbsp;Lithin Zacharias ,&nbsp;Andreas Charalambous ,&nbsp;Maria Lavdaniti ,&nbsp;Evangelia Stalika ,&nbsp;Tarek Ajami ,&nbsp;Wanda Acampa ,&nbsp;Jasmina Boban ,&nbsp;Shereen Nabhani Gebara","doi":"10.1016/j.jcpo.2023.100457","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Cancer poses significant challenges for healthcare professionals across the disease pathway including cancer imaging. This study constitutes part of the user requirement definition of INCISIVE EU project. The project has been designed to explore the full potential of artificial intelligence (AI)-based technologies in cancer imaging to streamline diagnosis and management. The study aimed to map cancer care pathways (breast, prostate, colorectal and lung cancers) across INCISIVE partner countries, and identify bottle necks within these pathways.</p></div><div><h3>Methods</h3><p>Email interviews were conducted with ten oncology specialised healthcare professionals representing INCISIVE partner countries: Greece, Cyprus, Spain, Italy, Finland, the United Kingdom (UK) and Serbia. A purposive sampling strategy was employed for recruitment and data was collected between December 2020 and April 2021. Data was entered into Microsoft Excel spreadsheet to allow content examination and comparative analysis.</p></div><div><h3>Results</h3><p>The analysed pathways all shared a common characteristic: inequalities in relation to delays in cancer diagnosis and treatment. All the studied countries, except the UK, lacked official national data about diagnostic and therapeutic delays. Furthermore, a considerable variation was noted regarding the availability of imaging and diagnostic services across the seven countries. Several concerns were also noted for inefficiencies/inequalities with regards to national screening for the four investigated cancer types.</p></div><div><h3>Conclusions</h3><p>Delays in cancer diagnosis and treatment are an ongoing challenge and a source for inequalities. It is important to have systematic reporting of diagnostic and therapeutic delays in all countries to allow the proper estimation of its magnitude and support needed to address it. Our findings also support the orientation of the current policies towards early detection and wide scale adoption and implementation of cancer screening, through research, innovation, and technology. Technologies involving AI can have a great potential to revolutionise cancer care delivery.</p></div><div><h3>Policy summary</h3><p>This study highlights the widespread delay in cancer diagnosis across Europe and supports the need for, systematic reporting of delays, improved availability of imaging services, and optimised national screening programs. The goal is to enhance cancer care delivery, encourage early detection, and implement research, innovation, and AI-based technologies for improved cancer imaging.</p></div>","PeriodicalId":38212,"journal":{"name":"Journal of Cancer Policy","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213538323000747/pdfft?md5=afd536d2a53d02f52f743a571937652a&pid=1-s2.0-S2213538323000747-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cancer Policy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213538323000747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Cancer poses significant challenges for healthcare professionals across the disease pathway including cancer imaging. This study constitutes part of the user requirement definition of INCISIVE EU project. The project has been designed to explore the full potential of artificial intelligence (AI)-based technologies in cancer imaging to streamline diagnosis and management. The study aimed to map cancer care pathways (breast, prostate, colorectal and lung cancers) across INCISIVE partner countries, and identify bottle necks within these pathways.

Methods

Email interviews were conducted with ten oncology specialised healthcare professionals representing INCISIVE partner countries: Greece, Cyprus, Spain, Italy, Finland, the United Kingdom (UK) and Serbia. A purposive sampling strategy was employed for recruitment and data was collected between December 2020 and April 2021. Data was entered into Microsoft Excel spreadsheet to allow content examination and comparative analysis.

Results

The analysed pathways all shared a common characteristic: inequalities in relation to delays in cancer diagnosis and treatment. All the studied countries, except the UK, lacked official national data about diagnostic and therapeutic delays. Furthermore, a considerable variation was noted regarding the availability of imaging and diagnostic services across the seven countries. Several concerns were also noted for inefficiencies/inequalities with regards to national screening for the four investigated cancer types.

Conclusions

Delays in cancer diagnosis and treatment are an ongoing challenge and a source for inequalities. It is important to have systematic reporting of diagnostic and therapeutic delays in all countries to allow the proper estimation of its magnitude and support needed to address it. Our findings also support the orientation of the current policies towards early detection and wide scale adoption and implementation of cancer screening, through research, innovation, and technology. Technologies involving AI can have a great potential to revolutionise cancer care delivery.

Policy summary

This study highlights the widespread delay in cancer diagnosis across Europe and supports the need for, systematic reporting of delays, improved availability of imaging services, and optimised national screening programs. The goal is to enhance cancer care delivery, encourage early detection, and implement research, innovation, and AI-based technologies for improved cancer imaging.

欧洲七个国家的癌症治疗途径:目前的障碍是什么?人工智能又能提供什么帮助呢?
背景:癌症对包括癌症成像在内的整个疾病途径的医疗保健专业人员提出了重大挑战。本研究构成了INCISIVE EU项目用户需求定义的一部分。该项目旨在探索基于人工智能(AI)的癌症成像技术的全部潜力,以简化诊断和管理。该研究旨在绘制INCISIVE合作伙伴国家的癌症治疗途径(乳腺癌、前列腺癌、结直肠癌和肺癌),并确定这些途径中的瓶颈。方法:通过电子邮件采访了10位来自INCISIVE合作伙伴国家的肿瘤学专业医疗保健专业人员:希腊、塞浦路斯、西班牙、意大利、芬兰、英国和塞尔维亚。采用有目的的抽样策略进行招募,并在2020年12月至2021年4月期间收集数据。将数据输入到Microsoft Excel电子表格中进行内容检查和比较分析。结果:分析的途径都有一个共同的特点:在癌症诊断和治疗延迟的不平等。除英国外,所有被研究的国家都缺乏关于诊断和治疗延误的官方国家数据。此外,在成像和诊断服务的可得性方面,7个国家差别很大。委员会还注意到在对四种被调查的癌症类型进行全国筛查方面的效率低下/不平等现象。结论:癌症诊断和治疗的延迟是一个持续的挑战,也是不平等的来源。重要的是对所有国家的诊断和治疗延误进行系统报告,以便适当估计其严重程度和解决延误所需的支持。我们的研究结果还支持当前政策的方向,即通过研究、创新和技术,早期发现和大规模采用和实施癌症筛查。涉及人工智能的技术有可能彻底改变癌症治疗的方式。政策总结:这项研究强调了整个欧洲癌症诊断的普遍延迟,并支持系统报告延迟,改善成像服务的可用性和优化国家筛查计划的必要性。目标是加强癌症护理服务,鼓励早期发现,并实施研究、创新和基于人工智能的技术,以改善癌症成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Cancer Policy
Journal of Cancer Policy Medicine-Health Policy
CiteScore
2.40
自引率
7.70%
发文量
47
审稿时长
65 days
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信