Development and effectiveness evaluation of an interactive e-learning environment to enhance digital health literacy in cancer patients: study protocol for a randomized controlled trial.

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2025-01-24 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1455143
Lukas Lange-Drenth, Hellena Willemer, Mirjam Banse, Anke Ernst, Anne Daubmann, Anja Holz, Christiane Bleich, Susanne Weg-Remers, Holger Schulz
{"title":"Development and effectiveness evaluation of an interactive e-learning environment to enhance digital health literacy in cancer patients: study protocol for a randomized controlled trial.","authors":"Lukas Lange-Drenth, Hellena Willemer, Mirjam Banse, Anke Ernst, Anne Daubmann, Anja Holz, Christiane Bleich, Susanne Weg-Remers, Holger Schulz","doi":"10.3389/fdgth.2025.1455143","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Internet allows cancer patients to access information about their disease at any time. However, the quality of online information varies widely and is often inaccurate or does not provide all the details patients need to make informed decisions. Additionally, patients' often limited ability to find and evaluate cancer-related online information can lead to misinformation.</p><p><strong>Objective: </strong>An interactive e-learning environment to promote digital health literacy will be developed and evaluated for effectiveness.</p><p><strong>Primary hypothesis: </strong>Cancer patients who use the e-learning environment (IG1.1-IG1.3) or the content of the environment as a non-interactive PDF file (IG2) will show greater improvement in their digital health literacy from baseline to 8 weeks after baseline compared to patients who receive no such intervention, but are referred to a standard information brochure.</p><p><strong>Methods: </strong>The hypothesis will be tested in a stratified randomized controlled superiority trial with five parallel groups and the primary endpoint of digital health literacy. In an e-learning environment, patients will learn strategies to use when searching for reliable cancer-related online information. During development, a prototype will be refined through focus groups and tested for usability by experts and patients. 660 cancer patients will be recruited using convenience sampling and randomly assigned in a 3:1:1 ratio to IG1.1-IG1.3 (three variants of the environment), IG2, or the control group. Two thirds of the 660 participants will be recruited through the German Cancer Information Service (CIS) and one third through non-CIS routes. Allocation will follow stratified randomization, accounting for recruitment route (CIS vs. non-CIS) and cancer type (breast cancer vs. other cancers), with variable block length. The primary outcome, digital health literacy, will be measured at baseline, 2 weeks, and 8 weeks after baseline.</p><p><strong>Conclusion: </strong>If the results support the primary hypothesis, then the e-learning environment could empower patients to retrieve more reliable information about their disease. Concerns about the generalizability of the results, since a disproportionate number of inquiries to the CIS come from breast cancer patients, are addressed by a proportionally stratified randomization strategy and diversified recruitment routes.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1455143"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802532/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fdgth.2025.1455143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The Internet allows cancer patients to access information about their disease at any time. However, the quality of online information varies widely and is often inaccurate or does not provide all the details patients need to make informed decisions. Additionally, patients' often limited ability to find and evaluate cancer-related online information can lead to misinformation.

Objective: An interactive e-learning environment to promote digital health literacy will be developed and evaluated for effectiveness.

Primary hypothesis: Cancer patients who use the e-learning environment (IG1.1-IG1.3) or the content of the environment as a non-interactive PDF file (IG2) will show greater improvement in their digital health literacy from baseline to 8 weeks after baseline compared to patients who receive no such intervention, but are referred to a standard information brochure.

Methods: The hypothesis will be tested in a stratified randomized controlled superiority trial with five parallel groups and the primary endpoint of digital health literacy. In an e-learning environment, patients will learn strategies to use when searching for reliable cancer-related online information. During development, a prototype will be refined through focus groups and tested for usability by experts and patients. 660 cancer patients will be recruited using convenience sampling and randomly assigned in a 3:1:1 ratio to IG1.1-IG1.3 (three variants of the environment), IG2, or the control group. Two thirds of the 660 participants will be recruited through the German Cancer Information Service (CIS) and one third through non-CIS routes. Allocation will follow stratified randomization, accounting for recruitment route (CIS vs. non-CIS) and cancer type (breast cancer vs. other cancers), with variable block length. The primary outcome, digital health literacy, will be measured at baseline, 2 weeks, and 8 weeks after baseline.

Conclusion: If the results support the primary hypothesis, then the e-learning environment could empower patients to retrieve more reliable information about their disease. Concerns about the generalizability of the results, since a disproportionate number of inquiries to the CIS come from breast cancer patients, are addressed by a proportionally stratified randomization strategy and diversified recruitment routes.

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
交互式电子学习环境的开发和有效性评估,以提高癌症患者的数字健康素养:随机对照试验的研究方案。
背景:互联网允许癌症患者在任何时间访问他们的疾病信息。然而,网上信息的质量参差不齐,往往不准确,或者不能提供患者做出明智决定所需的所有细节。此外,患者查找和评估癌症相关在线信息的能力往往有限,这可能导致错误信息。目的:将开发一个互动式电子学习环境,以促进数字卫生素养,并评估其有效性。主要假设:使用电子学习环境(IG1.1-IG1.3)或环境内容作为非交互式PDF文件(IG2)的癌症患者在基线后至基线后8周内,与未接受此类干预但参考标准信息手册的患者相比,其数字健康素养的改善更大。方法:采用分层随机对照优势试验,以数字健康素养为主要终点,共设5个平行组。在电子学习环境中,患者将学习在搜索可靠的癌症相关在线信息时使用的策略。在开发过程中,原型将通过焦点小组进行完善,并由专家和患者进行可用性测试。660名癌症患者将采用方便抽样的方式被招募,并按3:1:1的比例随机分配到IG1.1-IG1.3(三种环境变量)、IG2或对照组。660名参与者中的三分之二将通过德国癌症信息服务中心(CIS)招募,三分之一将通过非CIS途径招募。分配将遵循分层随机化,考虑到招募途径(CIS vs.非CIS)和癌症类型(乳腺癌vs.其他癌症),区块长度可变。将在基线、基线后2周和基线后8周测量主要结局——数字卫生素养。结论:如果结果支持最初的假设,那么电子学习环境可以使患者获得更可靠的疾病信息。由于对CIS的大量询问来自乳腺癌患者,因此对结果的普遍性的担忧通过比例分层随机化策略和多样化的招募途径得到解决。
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 去求助
来源期刊
CiteScore
4.20
自引率
0.00%
发文量
0
审稿时长
13 weeks
期刊最新文献
How hospital accreditation requirements bridge enablers for AI readiness: interpretative analysis of intersections in framework standards. Correction: Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes. Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA. From inferring preferences to enabling choice: potentials of digital tools to improve substitute decision-making. Ethical integration of patient-reported outcomes and digital biomarkers in AI healthcare models: an expert consensus framework.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1