Self-care strategies used by disaster responders after the 2023 earthquake in Turkey and Syria: a mixed methods study
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Disaster responders are exposed to several physical and mental health risks. This study aimed to describe self-care strategies used by disaster responders after the earthquake in Syria and eastern Turkey in February 2023. METHODS: A study specific web-based questionnaire survey was used to collect quantitative and qualitative data according to a convergent mixed methods approach. Data from 252 disaster responders responding to the earthquakes in Turkey and Syria were analyzed using both descriptive and analytical statistics and summative content analysis of free-text answers. Data were collected in March to July, 2023. RESULTS: The most used self-care strategies included resting, social support from colleagues in the field, extra intake of food or drink, and intake of medicines. The recovery strategies varied due to previous disaster response experience, indicating that supportive self-care strategies can be developed or learned. CONCLUSION: Given the extreme conditions and limited possibilities of external support, sufficient self-care is an essential competence among disaster responders. Self-care strategies can be both external processed such as intake of medicines, social support from others, and internal processes such as personal reflection. Providing oneself with self-care activities seems to be a skill developed with increasing experience supported by pre-deployment training. Therefore, to enhance resilience, self-care strategies should be encompassed in pre-disaster response training.
Source: BMC Emergency Medicine
Authors: Karin Blomberg, Jason Murphy, Karin Hugelius
Institutions: Örebro University, Röda Korsets Högskola, Umeå University
Language: English
Subfield: Emergency Medical Services
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,590
Funder: Örebro Universitet
OpenAlex ID: W4403487831
