The Impact of a Digital Cancer Survivorship Patient Engagement Toolkit on Older Cancer Survivors' Health Outcomes.

IF 1.3 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Eun-Shim Nahm, Mary McQuaige, Katarina Steacy, Shijun Zhu, Hohyun Seong
{"title":"The Impact of a Digital Cancer Survivorship Patient Engagement Toolkit on Older Cancer Survivors' Health Outcomes.","authors":"Eun-Shim Nahm, Mary McQuaige, Katarina Steacy, Shijun Zhu, Hohyun Seong","doi":"10.1097/CIN.0000000000001199","DOIUrl":null,"url":null,"abstract":"<p><p>Cancer predominantly affects older adults. An estimated 62% of the 15.5 million American cancer survivors are 65 years or older. Provision of supportive care is critical to this group; however, limited resources are available to them. As older survivors increasingly adopt technology, digital health programs have significant potential to provide them with longitudinal supportive care. Previously, we developed/tested a digital Cancer Survivorship Patient Engagement Toolkit for older adults, Cancer Survivorship Patient Engagement Toolkit Silver. The study examined the preliminary impact of the Cancer Survivorship Patient Engagement Toolkit Silver on older survivors' health outcomes. This was a 2-arm randomized controlled trial with two observations (baseline, 8 weeks) on a sample of 60 older cancer survivors (mean age, 70.1 ± 3.8 years). Outcomes included health-related quality of life, self-efficacy for coping with cancer, symptom burden, health behaviors, and patient-provider communication. Data were analyzed using descriptive statistics, linear mixed models, and content analysis. At 8 weeks, the Cancer Survivorship Patient Engagement Toolkit Silver group showed more improved physical health-related quality of life (P < .001, effect size = 0.64) and symptom burden (P = .053, effect size = -0.41) than the control group. Self-efficacy (effect size = 0.56), mental health-related quality of life (effect size = 0.26), and communication (effect size = 0.40) showed clinically meaningful effect sizes of improvement. Most participants reported benefits on health management (mean, 19.41 ± 2.6 [3-21]). Further research is needed with larger and more diverse older cancer populations.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cin-Computers Informatics Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CIN.0000000000001199","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Cancer predominantly affects older adults. An estimated 62% of the 15.5 million American cancer survivors are 65 years or older. Provision of supportive care is critical to this group; however, limited resources are available to them. As older survivors increasingly adopt technology, digital health programs have significant potential to provide them with longitudinal supportive care. Previously, we developed/tested a digital Cancer Survivorship Patient Engagement Toolkit for older adults, Cancer Survivorship Patient Engagement Toolkit Silver. The study examined the preliminary impact of the Cancer Survivorship Patient Engagement Toolkit Silver on older survivors' health outcomes. This was a 2-arm randomized controlled trial with two observations (baseline, 8 weeks) on a sample of 60 older cancer survivors (mean age, 70.1 ± 3.8 years). Outcomes included health-related quality of life, self-efficacy for coping with cancer, symptom burden, health behaviors, and patient-provider communication. Data were analyzed using descriptive statistics, linear mixed models, and content analysis. At 8 weeks, the Cancer Survivorship Patient Engagement Toolkit Silver group showed more improved physical health-related quality of life (P < .001, effect size = 0.64) and symptom burden (P = .053, effect size = -0.41) than the control group. Self-efficacy (effect size = 0.56), mental health-related quality of life (effect size = 0.26), and communication (effect size = 0.40) showed clinically meaningful effect sizes of improvement. Most participants reported benefits on health management (mean, 19.41 ± 2.6 [3-21]). Further research is needed with larger and more diverse older cancer populations.

数字癌症幸存者患者参与工具包对老年癌症幸存者健康结果的影响》(The Impact of a Digital Cancer Survivorship Patient Engagement Toolkit on Older Cancer Survivors' Health Outcomes.
癌症主要影响老年人。据估计,在 1550 万美国癌症幸存者中,62% 是 65 岁或以上的老年人。提供支持性护理对这一群体至关重要;然而,向他们提供的资源有限。随着老年幸存者越来越多地采用技术,数字健康项目在为他们提供纵向支持性护理方面具有巨大潜力。此前,我们开发/测试了一款针对老年人的数字癌症幸存者患者参与工具包--癌症幸存者患者参与工具包 Silver。这项研究考察了 "癌症幸存者患者参与工具包银色版 "对老年幸存者健康结果的初步影响。这是一项双臂随机对照试验,对 60 名老年癌症幸存者(平均年龄为 70.1 ± 3.8 岁)进行了两次观察(基线、8 周)。研究结果包括与健康相关的生活质量、应对癌症的自我效能、症状负担、健康行为和患者与医护人员的沟通。数据采用描述性统计、线性混合模型和内容分析法进行分析。8 周后,癌症幸存者患者参与工具包银色组比对照组在身体健康相关生活质量(P < .001,效应大小 = 0.64)和症状负担(P = .053,效应大小 = -0.41)方面有更大改善。自我效能(效应大小 = 0.56)、心理健康相关生活质量(效应大小 = 0.26)和沟通(效应大小 = 0.40)的改善效应大小具有临床意义。大多数参与者表示在健康管理方面受益匪浅(平均值为 19.41 ± 2.6 [3-21])。还需要对更大规模、更多样化的老年癌症患者群体进行进一步研究。
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
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
期刊介绍: For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.
×
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