Honoring Heritage, Managing Health: A Mobile Diabetes Self-Management App for Native Americans with Cultural Sensitivity and Local Factors

W. Hasan, Juan Li, Shadi Alian, Tianyi Liang, Vikram Pandey, Kimia Tuz Zaman, Jun Kong, Cui Tao
{"title":"Honoring Heritage, Managing Health: A Mobile Diabetes Self-Management App for Native Americans with Cultural Sensitivity and Local Factors","authors":"W. Hasan, Juan Li, Shadi Alian, Tianyi Liang, Vikram Pandey, Kimia Tuz Zaman, Jun Kong, Cui Tao","doi":"10.1109/ISCC58397.2023.10218192","DOIUrl":null,"url":null,"abstract":"Diabetes has a disproportionate impact on Native Americans (NAs) as a chronic health condition, yet there is a dearth of mobile apps specifically designed for this population. In this paper, we present the design and development of a culturally tailored mobile app for NAs, taking into account their cultural traditions. Our app incorporates NA's traditional foods, food availability, the importance of family and community, cultural practices and beliefs, local resources, and heritage heroes into the app interface and self-management design. The app includes personalized nutrition guidance, family and community-based support, seamless connection to tribal health providers, access to local resources, and integration of cultural elements. By considering the cultural context of NAs, the developed app has the potential to provide culturally sensitive and relevant features that address the unique needs and preferences of NA users, facilitating effective self-management of diabetes.","PeriodicalId":265337,"journal":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","volume":"767 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Symposium on Computers and Communications (ISCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC58397.2023.10218192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Diabetes has a disproportionate impact on Native Americans (NAs) as a chronic health condition, yet there is a dearth of mobile apps specifically designed for this population. In this paper, we present the design and development of a culturally tailored mobile app for NAs, taking into account their cultural traditions. Our app incorporates NA's traditional foods, food availability, the importance of family and community, cultural practices and beliefs, local resources, and heritage heroes into the app interface and self-management design. The app includes personalized nutrition guidance, family and community-based support, seamless connection to tribal health providers, access to local resources, and integration of cultural elements. By considering the cultural context of NAs, the developed app has the potential to provide culturally sensitive and relevant features that address the unique needs and preferences of NA users, facilitating effective self-management of diabetes.
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
尊重传统,管理健康:一个具有文化敏感性和当地因素的美国原住民移动糖尿病自我管理应用程序
作为一种慢性健康状况,糖尿病对美国原住民(NAs)造成了不成比例的影响,但却缺乏专门为这一人群设计的移动应用程序。在本文中,我们提出了一个文化定制的移动应用程序的设计和开发,考虑到他们的文化传统。我们的应用程序将NA的传统食物,食物可用性,家庭和社区的重要性,文化习俗和信仰,当地资源和遗产英雄纳入应用程序界面和自我管理设计。该应用程序包括个性化营养指导、家庭和社区支持、与部落医疗服务提供者的无缝连接、获取当地资源以及文化元素的整合。通过考虑NA的文化背景,开发的应用程序有可能提供文化敏感和相关的功能,以满足NA用户的独特需求和偏好,促进糖尿病的有效自我管理。
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
自引率
0.00%
发文量
0
期刊最新文献
(POSTER) Advanced LTCC-Integrated Technologies for mmWave 5G/Satellite Communication Antennas Multiple Information Extraction and Interaction for Emotion Recognition in Multi-Party Conversation A GRASP-Based Algorithm for Virtual Network Embedding Designing Healthcare Relational Agents: A Conceptual Framework with User-Centered Design Guidelines Analysis of One-Bit DAC for RIS-Assisted MU Massive MIMO Systems with Efficient Autoencoder Based Deep Learning
×
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:481959085
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