Self-help measures as determinants of emergency department utilization among people with and without a migration history in Germany

Abstract

We analyzed whether there were differences between people with and without migration history in their implementation of self-help measures before they accessed the services of an emergency department and if there was an association between self-help measures and an appropriate utilization of emergency departments. The data basis of this secondary analysis is the EUMaR study, which was conducted from July 2018 to July 2019 and aimed to identify causes contributing to inappropriate and frequent use of emergency departments by migrants. Our study aimed to analyze the differences in self-help measures carried out by the population groups using several multiple logistic regressions. The association between self-help measures implemented and appropriate emergency department utilization was quantified using a multiple logistic regression as well as interactions. The odds of first-generation migrants visiting an emergency department on their own initiative (OR=1.28; 95% CI, 1.01-1.61) was high compared to people without migrant history. Furthermore, the odds of their doing something by themselves against their complaints (OR=0.70; 95% CI, 0.56-0.86) were low. The odds of appropriate utilization of emergency services by respondents who self-initiated a visit to an emergency department were lower (OR=0.41; 95% CI, 0.34-0.50). The odds of appropriate utilization of emergency department services by respondents who had previously measured vital signs (e. g., blood pressure) were higher (OR=1.28; 95% CI, 1.02-1.59). Barriers to the health care system as well as to general practitioners, medicines or medical aids among first-generation migrants could explain the increased odds of their visiting an emergency department on their own and the lower odds of their doing something by themselves about their complaints. A hypothesis of our study is that measuring vital signs may help to better assess individual health status.