Objective: To identify factors associated with prehospital delay in people who have had an acute coronary syndrome.
Methods: Using a survey we studied patients admitted due to acute coronary syndrome in the 33 Andalusian public hospitals, obtaining information about different types of variables: socio-demographic, contextual,clinical, perception, action, and transportation.Multivariate logistic regression models were applied to calculate the odds ratios for the delay.
Results: Of the 1,416 patients studied, more than half had a delay of more than an hour. This is associated to distance to the hospital and means of transport: when the event occurs in the same city,using the patient's own means of transport increases the delay, odds ratio = 1.51 (1.02 to 2.23); if the distance is 1 to 25 kilometers from the hospital,there is no difference between the patient's own means of transport and an ambulance, odds ratio =1.41 and odds ratio =1.43 respectively; and when the distance exceeds 25 kilometers transport by ambulance means more delay, odds ratio = 3.13 and odds ratio = 2.20 respectively. Also, typical symptoms reduce delay amongst men but increase amongst women. Also, not caring and waiting for the resolution of symptoms, seeking health care other than a hospital or emergency services, previous clinical history, being away from home, and having an income under 1,500 euros, all increase delay. Respiratory symptoms reduce delay.
Conclusions: Prehospital delay times do not meet health recommendations. The physical and social environment,in addition to clinical, perceptual and attitudinal factors, are associated with this delay.