biostudies-literatureUnknown24(1)He C<h4>Objectives</h4>The purpose of this study was to investigate the preferred modes of transportation to the hospital among patients with acute stroke and acute myocardial infarction (AMI), as well as to identify the factors that influence the utilization of ambulances.<h4>Methods</h4>We conducted a cross-sectional study, including patients who were diagnosed with acute stroke and AMI, at the people's hospital of Zhongjiang, from September 30th, 2022 to August 30th, 2023. All patients were divided into emergency medical service (EMS)-activation group and self-transportation group. Chi-square and t-tests were utilized to discern differences between groups at baseline. To screen relevant variables, we employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis usBMC emergency medicine113https://www.ebi.ac.uk/biostudies/studies/S-EPMC11234688biostudies-literatureAnalysis of barriers associated with emergency medical service activation in patients with acute stroke and acute myocardial infarction from Zhongjiang County of Sichuan Province in China.PMC11234688He CTang MZhang YHuang WLuo MTang CZhou DLi LYou XAi XZhou JShi YfalseAnalysis of barriers associated with emergency medical service activation in patients with acute stroke and acute myocardial infarction from Zhongjiang County of Sichuan Province in China.<h4>Objectives</h4>The purpose of this study was to investigate the preferred modes of transportation to the hospital among patients with acute stroke and acute myocardial infarction (AMI), as well as to identify the factors that influence the utilization of ambulances.<h4>Methods</h4>We conducted a cross-sectional study, including patients who were diagnosed with acute stroke and AMI, at the people's hospital of Zhongjiang, from September 30th, 2022 to August 30th, 2023. All patients were divided into emergency medical service (EMS)-activation group and self-transportation group. Chi-square and t-tests were utilized to discern differences between groups at baseline. To screen relevant variables, we employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis us2024-01-01T00:00:00Z2024 Jul2025-04-05T15:48:17.327Z2025-04-05T15:48:17.327ZS-EPMC112346883898234310.1186/s12873-024-01035-5