The intersection of digital health platforms and refugee health in the context of the novel 2019 coronavirus disease (COVID-19) has not yet been explored. We discuss the ability of a novel mobile health (mhealth) platform to be effectively adapted to improve health access for vulnerable displaced populations. In a preliminary analysis of 200 Syrian refugee women, we found positive user feedback and uptake of an mhealth application to increase access to preventive maternal and child health services for Syrian refugees under temporary protection in Turkey. Rapid adaptation of this application was successfully implemented during a global pandemic state to perform symptomatic assessment, disseminate health education, and bolster national prevention efforts. We propose that mhealth interventions can provide an innovative, cost-effective, and user-friendly approach to access the dynamic needs of refugees and other displaced populations, particularly during an emerging infectious disease outbreak.
BackgroundMobile health (mhealth) technology presents an opportunity to address many unique challenges refugee populations face when accessing healthcare. A robust body of evidence supports the use of mobile phone-based reminder platforms to increase timely and comprehensive access to health services. Yet, there is a dearth of research in their development for displaced populations, as well as refugee perspectives in design processes to improve effective adoptions of mhealth interventions.ObjectiveThis study aimed to explore healthcare barriers faced by Syrian refugee women in Turkey, and their perceptions of a maternal-child health mobile application designed to provide antenatal care and vaccine services. These findings guided development of a framework for enhancing acceptability of mobile health applications specific to refugee end-users.MethodsSyrian refugee women who were pregnant or had at least one child under the age of 2 years old at the time of recruitment (n = 14) participated in semi-structured in-depth interviews. Participants had the opportunity to directly interact with an operational maternal-child health mobile application during the interview. Using a grounded theory approach, we identified critical factors and qualities mhealth developers should consider when developing user-friendly applications for refugees.ResultsIt was observed that a refugee's perception of the mobile health application's usability was heavily influenced by past healthcare experiences and the contextual challenges they face while accessing healthcare. The in-depth interviews with refugee end-users identified that data security, offline capability, clear-user directions, and data retrievability were critical qualities to build into mobile health applications. Among the features included in the maternal-child health application, participants most valued the childhood vaccination reminder and health information features. Furthermore, the application's multi-lingual modes (Arabic, Turkish, and English) strengthened the application's usability among Syrian refugee populations living in Turkey.ConclusionsThe inclusion of refugee perceptions in mhealth applications offers unique developer insights for building more inclusive and effective tools for vulnerable populations. Basic upfront discussions of the mobile application's health goals and its personal value to the user may improve their long-term use. Further prospective research is needed on retention and use of mobile health applications for refugee women and other displaced populations.
Background/aim: COVID-19 has now become a global pandemic. Understanding the routes of transmission is vital in the mitigation and suppression of the disease. Istanbul has become one of the disease's epicenters. This study aims to describe the first COVID-19 case and contact tracing efforts around it in Istanbul. Materials and Methods:The descriptive study was conducted in Istanbul, Turkey. First and associated COVID-19 cases were investigated with contact tracing and described primary and secondary cases. Results:The source case was an individual who returned to Turkey from international travel at the beginning of March and tested PCR (-). The index case is the brother of the source case and is considered the first PCR (+) case diagnosed in Istanbul. Contact tracing revealed 23 PCR (+) cases, 14 of which resulted in hospitalization and three deaths. Conclusions:This study described cases of the first COVID-19 cluster in Istanbul. Also, contact tracing was used in this first cluster. This contributed to contact tracing algorithms in Turkey.
Turkey hosts the largest proportion of Syrian refugees worldwide. Although Syrian refugees enjoy similar rights to health as Turkish citizens, some barriers can limit access to healthcare in practice. The healthcare needs of the Syrian population led to the emergence of "informal" clinics operated by Syrian healthcare professionals whom the Ministry of Health does not authorize to practice in Turkey. This qualitative study explores the views of 22 healthcare professionals working in such clinics about health provision for Syrian refugees. Focus groups and in‐depth interviews were transcribed and thematically coded. Language and cultural barriers, ill‐effects of immigration, insecurity concerning living conditions and expected lawful contribution to health services emerged as themes. Participants suggested that formal authorization to practice in Turkey for the Syrian healthcare workforce would be a good step towards caring for the Syrian population in Turkey.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.