使用共同设计程序的数字健康二级预防:与医疗保健提供者和心肌梗死患者的焦点小组研究。

Q2 Medicine
JMIR Cardio Pub Date : 2023-10-30 DOI:10.2196/49892
Melissa Louise Pelly, Farhad Fatehi, Danny Liew, Antonio Verdejo-Garcia
{"title":"使用共同设计程序的数字健康二级预防:与医疗保健提供者和心肌梗死患者的焦点小组研究。","authors":"Melissa Louise Pelly, Farhad Fatehi, Danny Liew, Antonio Verdejo-Garcia","doi":"10.2196/49892","DOIUrl":null,"url":null,"abstract":"Background Myocardial infarction (MI) is a debilitating condition and a leading cause of morbidity and mortality worldwide. Digital health is a promising approach for delivering secondary prevention to support patients with a history of MI and for reducing risk factors that can lead to a future event. However, its potential can only be fulfilled when the technology meets the needs of the end users who will be interacting with this secondary prevention. Objective We aimed to gauge the opinions of patients with a history of MI and health professionals concerning the functions, features, and characteristics of a digital health solution to support post-MI care. Methods Our approach aligned with the gold standard participatory co-design procedures enabling progressive refinement of feedback via exploratory, confirmatory, and prototype-assisted feedback from participants. Patients with a history of MI and health professionals from Australia attended focus groups over a videoconference system. We engaged with 38 participants across 3 rounds of focus groups using an iterative co-design approach. Round 1 included 8 participants (4 patients and 4 health professionals), round 2 included 24 participants (11 patients and 13 health professionals), and round 3 included 22 participants (14 patients and 8 health professionals). Results Participants highlighted the potential of digital health in addressing the unmet needs of post-MI care. Both patients with a history of MI and health professionals agreed that mental health is a key concern in post-MI care that requires further support. Participants agreed that family members can be used to support postdischarge care and require support from the health care team. Participants agreed that incorporating simple games with a points system can increase long-term engagement. However, patients with a history of MI emphasized a lack of support from their health care team, family, and community more strongly than health professionals. They also expressed some openness to using artificial intelligence, whereas health professionals expressed that users should not be aware of artificial intelligence use. Conclusions These results provide valuable insights into the development of digital health secondary preventions aimed at supporting patients with a history of MI. Future research can implement a pilot study in the population with MI to trial these recommendations in a real-world setting.","PeriodicalId":14706,"journal":{"name":"JMIR Cardio","volume":"7 ","pages":"e49892"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644192/pdf/","citationCount":"0","resultStr":"{\"title\":\"Digital Health Secondary Prevention Using Co-Design Procedures: Focus Group Study With Health Care Providers and Patients With Myocardial Infarction.\",\"authors\":\"Melissa Louise Pelly, Farhad Fatehi, Danny Liew, Antonio Verdejo-Garcia\",\"doi\":\"10.2196/49892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Myocardial infarction (MI) is a debilitating condition and a leading cause of morbidity and mortality worldwide. Digital health is a promising approach for delivering secondary prevention to support patients with a history of MI and for reducing risk factors that can lead to a future event. However, its potential can only be fulfilled when the technology meets the needs of the end users who will be interacting with this secondary prevention. Objective We aimed to gauge the opinions of patients with a history of MI and health professionals concerning the functions, features, and characteristics of a digital health solution to support post-MI care. Methods Our approach aligned with the gold standard participatory co-design procedures enabling progressive refinement of feedback via exploratory, confirmatory, and prototype-assisted feedback from participants. Patients with a history of MI and health professionals from Australia attended focus groups over a videoconference system. We engaged with 38 participants across 3 rounds of focus groups using an iterative co-design approach. Round 1 included 8 participants (4 patients and 4 health professionals), round 2 included 24 participants (11 patients and 13 health professionals), and round 3 included 22 participants (14 patients and 8 health professionals). Results Participants highlighted the potential of digital health in addressing the unmet needs of post-MI care. Both patients with a history of MI and health professionals agreed that mental health is a key concern in post-MI care that requires further support. Participants agreed that family members can be used to support postdischarge care and require support from the health care team. Participants agreed that incorporating simple games with a points system can increase long-term engagement. However, patients with a history of MI emphasized a lack of support from their health care team, family, and community more strongly than health professionals. They also expressed some openness to using artificial intelligence, whereas health professionals expressed that users should not be aware of artificial intelligence use. Conclusions These results provide valuable insights into the development of digital health secondary preventions aimed at supporting patients with a history of MI. Future research can implement a pilot study in the population with MI to trial these recommendations in a real-world setting.\",\"PeriodicalId\":14706,\"journal\":{\"name\":\"JMIR Cardio\",\"volume\":\"7 \",\"pages\":\"e49892\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644192/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR Cardio\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/49892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Cardio","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/49892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

背景:心肌梗死(MI)是一种使人衰弱的疾病,也是全球发病率和死亡率的主要原因。数字健康是一种很有前途的方法,可以提供二级预防,以支持有MI病史的患者,并减少可能导致未来事件的风险因素。然而,只有当该技术满足将与这种二次预防互动的最终用户的需求时,才能发挥其潜力。目的:我们旨在评估有心肌梗死病史的患者和卫生专业人员对数字健康解决方案的功能、特点和特点的意见,以支持心肌梗死后的护理。方法:我们的方法与金标准的参与式共同设计程序相一致,通过参与者的探索性、验证性和原型辅助反馈,能够逐步完善反馈。有MI病史的患者和来自澳大利亚的卫生专业人员通过视频会议系统参加了焦点小组。我们采用迭代联合设计方法,在三轮焦点小组中与38名参与者进行了互动。第一轮包括8名参与者(4名患者和4名卫生专业人员),第二轮包括24名参与者(11名患者和13名卫生专业人士),第三轮包括22名参与者(14名患者和8名卫生专业人才)。结果:参与者强调了数字健康在解决MI后护理未满足需求方面的潜力。有心肌梗死病史的患者和卫生专业人员都认为,心理健康是心肌梗死后护理的一个关键问题,需要进一步的支持。参与者一致认为,家庭成员可以用来支持出院后的护理,并需要医疗团队的支持。参与者一致认为,将简单的游戏与积分系统结合起来可以提高长期参与度。然而,有MI病史的患者比卫生专业人员更强调缺乏医疗团队、家庭和社区的支持。他们还表示对使用人工智能持开放态度,而卫生专业人员表示,用户不应意识到人工智能的使用。结论:这些结果为数字健康二级预防的发展提供了宝贵的见解,旨在支持有心肌梗死史的患者。未来的研究可以在心肌梗死人群中进行试点研究,在现实世界中试验这些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Health Secondary Prevention Using Co-Design Procedures: Focus Group Study With Health Care Providers and Patients With Myocardial Infarction.
Background Myocardial infarction (MI) is a debilitating condition and a leading cause of morbidity and mortality worldwide. Digital health is a promising approach for delivering secondary prevention to support patients with a history of MI and for reducing risk factors that can lead to a future event. However, its potential can only be fulfilled when the technology meets the needs of the end users who will be interacting with this secondary prevention. Objective We aimed to gauge the opinions of patients with a history of MI and health professionals concerning the functions, features, and characteristics of a digital health solution to support post-MI care. Methods Our approach aligned with the gold standard participatory co-design procedures enabling progressive refinement of feedback via exploratory, confirmatory, and prototype-assisted feedback from participants. Patients with a history of MI and health professionals from Australia attended focus groups over a videoconference system. We engaged with 38 participants across 3 rounds of focus groups using an iterative co-design approach. Round 1 included 8 participants (4 patients and 4 health professionals), round 2 included 24 participants (11 patients and 13 health professionals), and round 3 included 22 participants (14 patients and 8 health professionals). Results Participants highlighted the potential of digital health in addressing the unmet needs of post-MI care. Both patients with a history of MI and health professionals agreed that mental health is a key concern in post-MI care that requires further support. Participants agreed that family members can be used to support postdischarge care and require support from the health care team. Participants agreed that incorporating simple games with a points system can increase long-term engagement. However, patients with a history of MI emphasized a lack of support from their health care team, family, and community more strongly than health professionals. They also expressed some openness to using artificial intelligence, whereas health professionals expressed that users should not be aware of artificial intelligence use. Conclusions These results provide valuable insights into the development of digital health secondary preventions aimed at supporting patients with a history of MI. Future research can implement a pilot study in the population with MI to trial these recommendations in a real-world setting.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JMIR Cardio
JMIR Cardio Computer Science-Computer Science Applications
CiteScore
3.50
自引率
0.00%
发文量
25
审稿时长
12 weeks
×
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