Yaşlıları Günlük Yaşamlarında Destekleyici Mobil Sağlık Uygulaması Geliştirilmesi

Yıl 2022, , 601 - 609, 31.03.2022

Ismael Thomas Cissé Özgün Yılmaz

https://doi.org/10.31590/ejosat.1083647

Öz

Uzayan insan ömrüyle birlikte, dünya üzerindeki yaşlıların sayısı gün geçtikçe artmaktadır. Öte yandan, bilişim teknolojileri günlük yaşantımızı temelden etkilemiş ve aynı zamanda sağlık endüstrisinin insanlara daha iyi sağlık hizmeti sunmasını sağlamıştır. Bu çalışmada, yaşlılara günlük yaşamlarında destek olacak ve sağlık verilerini hekimlere iletecek bir mobil sağlık uygulaması olan MMALI mobil uygulaması anlatılmaktadır. Bu uygulamada, yaşlılarda görülebilecek unutkanlık sorununa çözüm olarak hatırlatma özelliği vardır. İlaç alma, tıbbi ölçümler yapma ve günlük yaşam aktiviteleri ile ilgili diğer görevler için hatırlatıcılar tanımlanabilmektedir. Yaşlılar yaşadıkları sağlık sorunlarını ve tıbbi ölçümleri merkezi sunucuya bildirebilmektedir. Bu sayede büyük bir kullanıcı grubunun sağlık verileri düzenli olarak toplanabilir ve bu veri üzerinde veri madenciliği ve veri analizi yapılarak yeni bilgiler elde edilebilir. Yaşlı bireyin yakınları, bireyin kaybolması durumunda konum takibi de yapabilmektedir. Ayrıca merkezi sunucuda bulunan anketler yaşlılara uygulanabilmektedir. Bu sayede kağıt, baskı, posta masrafı olmadan ve bireyin sağlık merkezlerine gitmesine gerek kalmadan çok fazla sayıda kullanıcıdan geri bildirim alınabilmesi planlanmıştır. Yaşlı bireylere sunulan bu uygulama ile bireylerin kendilerini daha özgür ve özgüvenli hissedecekleri düşünülmektedir.

Anahtar Kelimeler

Mobil sağlık, Yaşlı bakımı, Ortam zekası, Ortam destekli yaşam, Bağlam farkındalık

Destekleyen Kurum

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Proje Numarası

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Teşekkür

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Development of a Mobile Health Application Supporting the Elderly in Their Daily Lives

Öz

As a result of increased human lifespan, the number of elderly people in the world is increasing day by day. On the other hand, information technologies have fundamentally affected our daily lives and enabled the healthcare industry to provide better healthcare to people. In this paper, the MMALI mobile application, which is a mobile health application that supports the elderly in their daily lives and transmit health data to physicians, is described. As a solution to the forgetfulness problem that can be seen in the elderly, reminders can be defined for taking medication, making medical measurements, and other tasks related to daily activities. The elderly can report their health problems and medical measurements to the central server. Thus, health data of a large user group can be collected regularly, and new information can be obtained by data mining and data analysis on this data. Relatives of the elderly can also track the elderly’s location in case of disappearance because of the wandering behavior encountered in some elderlies. In addition, the questionnaires on the central server can be applied to the elderly. In this way, it is planned to receive feedback from many users without the expense of paper, printing, postage and without the need for the individual to go to health centers. By using the mobile application proposed in this paper, it is considered that elderly will feel more free and self-confident.

Anahtar Kelimeler

mHealth, Elderly care, Ambient intelligence, Ambient assisted living, Context-awareness

Proje Numarası

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Kaynakça

• Abel, D., Gavidi, B., Rollings, N., & Chandra, R. (2015). Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji. ArXiv.
• Alhejaili, A. D. (2021). M-health Concept, Services and Issues. İçinde 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA) (ss. 18-22). https://doi.org/10.1109/CAIDA51941.2021.9425262
• Android for Developers, (2021, Ekim 27). Save data using SQLite. https://developer.android.com/training/data-storage/sqlite
• AppBrain. (2020, Ağustos 12). Number of Android applications on the Google Play store. https://www.appbrain.com/stats/number-of-android-apps
• Banskota, S., Healy, M., & Goldberg, E. M. (2020). 15 Smartphone Apps for Older Adults to Use While in Isolation During the COVID-19 Pandemic. Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, 21(4). https://doi.org/10.5811/westjem.2020.4.47372
• Bhuvaneswari, N., Latha, M., & Ranjith, E. (2017). Doctor Patient Interaction System for Android. https://www.semanticscholar.org/paper/Doctor-Patient-Interaction-System-for-Android-Bhuvaneswari-Latha/e77c1d2be33dfa9b547f296006e613ea922c9705
• Cortez, N. G., Cohen, I. G., & Kesselheim, A. (2014). FDA regulation of mobile health technologies. /paper/FDA-regulation-of-mobile-health-technologies.-Cortez-Cohen/3e4a4b35d50e76d71daa3e458977e7b67d8686e9
• Cottone, P., Maida, G., & Morana, M. (2014). User Activity Recognition via Kinect in an Ambient Intelligence Scenario. IERI Procedia, 7, 49-54. https://doi.org/10.1016/j.ieri.2014.08.009
• Eisenmann, T. R., Parker, G., & Van Alstyne, M. W. (2010). Platform Envelopment (SSRN Scholarly Paper, ID 1496336). Rochester, NY: Social Science Research Network. https://doi.org/10.2139/ssrn.1496336
• Firebase. (2022, Şubat 12). Firebase Realtime Database | Firebase Documentation. https://firebase.google.com/docs/database?hl=fr
• Freedman, V. A., & Spillman, B. C. (2014). Disability and care needs among older Americans. The Milbank Quarterly, 92(3), 509-541. https://doi.org/10.1111/1468-0009.12076
• GMinsights. (2021, Nisan). mHealth Market Growth Statistics 2021-2030 Global Projections Report. https://www.gminsights.com/industry-analysis/mhealth-market
• Grossman, J. T., Frumkin, M. R., Rodebaugh, T. L., & Lenze, E. J. (2020). mHealth Assessment and Intervention of Depression and Anxiety in Older Adults. Harvard review of psychiatry, 28(3), 203-214. https://doi.org/10.1097/HRP.0000000000000255
• Hanayli, M. C., Serbest, S., & Ürekli, T. (2015). Otizmli Çocukların Sosyal Becerilerini Geliştirmeye Yönelik Android Uygulaması, 5.
• Haris, M., Jadoon, B., & Khan, F. (2017). Evolution of Android Operating System: A Review.
• Jaana, M., & Paré, G. (2020). Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey. JMIR mHealth and uHealth, 8(11), e24718. https://doi.org/10.2196/24718
• Klasnja, P., Hartzler, A., Powell, C., Phan, G., & Pratt, W. (2010). Health Weaver Mobile: Designing a Mobile Tool for Managing Personal Health Information during Cancer Care. AMIA Annual Symposium Proceedings, 2010, 392-396.
• Kumar, D. A. (2019). A Study of Mobile Technology with reference to Wireless Data. LAP LAMBERT Academic Publishing. https://www.morebooks.de/store/es/book/a-study-of-mobile-technology-with-reference-to-wireless-data/isbn/978-3-659-20365-7
• Lathia, N., Pejovic, V., Rachuri, K. K., Mascolo, C., Musolesi, M., & Rentfrow, P. J. (2013). Smartphones for Large-Scale Behavior Change Interventions. IEEE Pervasive Computing, 12(3), 66-73. https://doi.org/10.1109/MPRV.2013.56
• Maier, E., & Kempter, G. (2010). ALADIN - a Magic Lamp for the Elderly? Içinde H. Nakashima, H. Aghajan, & J. C. Augusto (Ed.), Handbook of Ambient Intelligence and Smart Environments (ss. 1201-1227). Boston, MA: Springer US. https://doi.org/10.1007/978-0-387-93808-0_44
• Marzano, S. (2010). People as a Source of Breakthrough Innovation. Design Management Review, 16, 23-29. https://doi.org/10.1111/j.1948-7169.2005.tb00189.x
• McGarrigle, L., & Todd, C. (2020). Promotion of Physical Activity in Older People Using mHealth and eHealth Technologies: Rapid Review of Reviews. Journal of Medical Internet Research, 22(12), e22201. https://doi.org/10.2196/22201
• Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., … Markowetz, A. (2015). Smartphone usage in the 21st century: who is active on WhatsApp? BMC Research Notes, 8, 331. https://doi.org/10.1186/s13104-015-1280-z
• Morey, S. A., Stuck, R. E., Chong, A. W., Barg-Walkow, L. H., Mitzner, T. L., & Rogers, W. A. (2019). Applications mobiles de santé : amélioration de la convivialité pour les utilisateurs âgés. Ergonomics in Design, 27(4), 4-13. https://doi.org/10.1177/1064804619840731
• Paiva, J. O. V., Andrade, R. M. C., de Oliveira, P. A. M., Duarte, P., Santos, I. S., Evangelista, A. L. de P., Barreto, I. C. de H. C. (2020). Mobile applications for elderly healthcare: A systematic mapping. PLoS ONE, 15(7), e0236091. https://doi.org/10.1371/journal.pone.0236091
• Portenhauser, A. A., Terhorst, Y., Schultchen, D., Sander, L. B., Denkinger, M. D., Stach, M., … Messner, E.-M. (2021). Mobile Apps for Older Adults: Systematic Search and Evaluation Within Online Stores. JMIR Aging, 4(7), e23313. https://doi.org/10.2196/23313
• Quinn, C. C., Staub, S., Barr, E., & Gruber-Baldini, A. (2019). Mobile Support for Older Adults and Their Caregivers: Dyad Usability Study. JMIR Aging, 2(2). https://doi.org/10.2196/12276
• Remagnino, P., & Foresti, G. L. (2005). Ambient Intelligence: A New Multidisciplinary Paradigm. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 35(1), 1-6. https://doi.org/10.1109/TSMCA.2004.838456
• Rocha, N. P., Rodrigues dos Santos, M., Cerqueira, M., & Queirós, A. (2019). Mobile Health to Support Ageing in Place: A Systematic Review of Reviews and Meta-Analyses. International Journal of E-Health and Medical Communications (IJEHMC), 10(3), 1-21. https://doi.org/10.4018/IJEHMC.2019070101
• Roda, C., Rodriguez Cobo, A., López-Jaquero, V., González, P., & Navarro, E. (2015). A Multi-Agent System in Ambient Intelligence for the Physical Rehabilitation of Older People (C. 372). https://doi.org/10.1007/978-3-319-19629-9_13
• Şimşek, M. A., Erdemli, T., & Taşdelen, K. (2013). Android Cihazlarda Konum Tespiti ve Aktarılması, 3.
• Wearesocial, (2021, Ocak). Digital 2021. https://wearesocial.com/digital-2021