Using an IT-Based Algorithm for Health Promotion in Temporary Settlements to Improve Migrant and Refugee Health.
Elena RizaAchilleas LazarouPania KarnakiDina ZotaMargarita NassiMaria KantzanouAthena LinosPublished in: Healthcare (Basel, Switzerland) (2021)
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.
Keyphrases
- healthcare
- mental health
- health promotion
- health information
- primary care
- quality improvement
- weight loss
- type diabetes
- machine learning
- public health
- data analysis
- deep learning
- metabolic syndrome
- physical activity
- climate change
- randomized controlled trial
- mental illness
- insulin resistance
- study protocol
- body mass index
- clinical trial
- emergency department
- genome wide
- smoking cessation
- middle aged
- pulmonary hypertension
- chronic pain
- pregnant women
- social media
- glycemic control
- hepatitis c virus
- adipose tissue