Analysis of causes for an excessive prehospitalization delay in patients with acute myocardial infarction in Teruel (Spain)

Background. To analyze the delay of patients who come to the hospital and are diagnosed with acute myocardial infarction, its causes and the variables with determine it. Patients, material and methods. Prospective study of 115 patients (79 male and 36 female). The pre-hospital delay time was measured as the time which passed from the moment when the patient feels the first symptoms "chest pain", until his arrival and registration at the Emergency Service. This time was divided into three subdivisions: decision time, medical time and transport time. We determined: place of origin, indications and means of transport used to reach the hospital, diagnosis and treatment given by the general practitioner before arrival at the hospital, the cardiovascular risk factors, location of patients pain, the time of day and the delay at the Emergency Service. Results. The mean pre-hospital delay was 364 +/- 534 min (median of 195 min). Most of the patients (73.7%) came to hospital during the first six hours. The major part of total delay corresponded to the decision delay (202 +/- 363 min with a median of 75), which occupied 50.1% of the whole (confiance interval 95% [CI 95%], 44.6-55.6%), while the transport time occupied 34.6% (CI 95%, of 30.1-39%) with a median of 50 min. Major pre-hospital delay corresponded to the patients coming from rural areas (p = 0.007), to those asked for medical assistance (p = 0.0029), to diabetics (p = 0.01) and to those who felt the pain during their night sleep (p = 0.0023). Transport time was negatively influenced by old age (p = 0.0012), rural origin (p = 0.0001), the appearance of the night sleep pain (p = 0.031) and calling the general practitioner for first aid (p = 0.0001), but it was not influenced by the form of transport used to get to the hospital. The intra-hospital delay time had an median of 60 min, being longer for older people (p = 0.007), for patients with hypertension (p = 0.014) and those who were admitted from the Intensive Care Unit (p = 0.0001). Conclusions. The pre-hospital delay detected in our environment is longer than other studies and confirms that half of it is not due to the intrinsic functioning of our health system, even though it should get involved as much as possible to diminish the delay time.