Riza Elena, Lazarou Achilleas, Karnaki Pania, Zota Dina, Nassi Margarita, Kantzanou Maria, Linos Athena
Department of Hygiene, Epidemiology & Medical Statistics, Medical School National and Kapodistrian University of Athens, 11527 Athens, Greece.
Prolepsis Institute for Preventive Medicine and Environmental and Occupational Health, 15121 Marousi, Greece.
Healthcare (Basel). 2021 Sep 28;9(10):1284. doi: 10.3390/healthcare9101284.
The application of the electronic algorithm developed by the Mig-Healthcare project was pilot tested in a sample of migrants and refugees in 2 Reception and Identification Centres (RICs), temporary settlements, in Greece using portable devices. The questions relate to health literacy issues, to mental health, to vaccination history, to lifestyle habits such as smoking, alcohol intake, diet, to the presence of diseases such as heart disease or diabetes, to the use of prevention services and to dental care. A total of 82 adults, 50 women and 32 men, participated. Data analysis showed that 67.1% (55) of the respondents had difficulty in understanding medical information and 57.3% (47) did not know where to seek medical help for a specific health problem. Four main areas of health problems were identified and further action is required: (A) mental health concerns, (B) vaccinations, (C) obesity, and (D) dental hygiene. Direct linkage with the "Roadmap and Toolbox" section of the project's website gave the respondents access to many sources and tools, while through the use of the interactive map, specific referral points of healthcare delivery in their area were identified. IT-based intervention in migrant and refugee populations in Greece are effective in increasing health literacy levels and identifying areas for health promotion interventions in these groups. Through linkage with the project's database, access to healthcare provision points and action to seek appropriate healthcare when necessary are encouraged. Given the attenuated vulnerability profile of people living in temporary settlements, this algorithm can be easily used in primary care settings to improve migrant and refugee health.
由Mig-Healthcare项目开发的电子算法在希腊两个临时安置点(接待与识别中心)的移民和难民样本中,使用便携式设备进行了试点测试。这些问题涉及健康素养问题、心理健康、疫苗接种史、吸烟、饮酒、饮食等生活方式习惯、心脏病或糖尿病等疾病的存在、预防服务的使用以及牙科护理。共有82名成年人参与,其中50名女性和32名男性。数据分析表明,67.1%(55人)的受访者在理解医疗信息方面存在困难,57.3%(47人)不知道针对特定健康问题应去哪里寻求医疗帮助。确定了四个主要健康问题领域,需要进一步采取行动:(A)心理健康问题,(B)疫苗接种,(C)肥胖,以及(D)口腔卫生。与项目网站的“路线图和工具箱”部分直接链接,使受访者能够获取许多资源和工具,同时通过使用交互式地图,确定了他们所在地区医疗服务的具体转诊点。在希腊的移民和难民群体中基于信息技术的干预措施在提高健康素养水平以及确定这些群体中健康促进干预领域方面是有效的。通过与项目数据库的链接,鼓励人们获取医疗服务提供点的信息,并在必要时采取行动寻求适当的医疗保健。鉴于居住在临时安置点的人们的脆弱性有所减轻,该算法可轻松用于初级保健环境中,以改善移民和难民的健康状况。