Saberi Farzaneh, Adib-Hajbaghery Mohsen, Zohrehea Javad
Department of Midwifery, Kashan University of Medical Sciences, Kashan, IR Iran.
Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, IR Iran.
Nurs Midwifery Stud. 2014 Dec;3(4):e24238. doi: 10.17795/nmsjournal24238. Epub 2014 Dec 29.
The prehospital delay might result in death in patients with acute myocardial infarction (AMI).
This study aimed to investigate the prehospital delay and its related factors in patients with AMI admitted to Kashan's Shahid Beheshti Hospital.
This cross-sectional study was conducted on 117 patients with AMI in the second half of 2013. The interval between the onset of symptoms and arrival at the hospital was noted and in cases of delay, the factors leading to the delay were investigated using a questionnaire. The content validity of the questionnaire was confirmed through content validity method and its internal consistency was confirmed using Cronbach's alpha coefficient. Chi-square test, odds ratio, and logistic regression analysis were used in data analysis.
The median delay was 129 minutes (mean ± SD, 240.44 ± 295.30). Overall, 32.5% of patients were admitted within 90 minutes of symptom onset. The long distance between living locations to the hospital was the most common cause of delay to hospital admission (31.7%). Significant associations were observed between the delay time and location of residency (P = 0.00) and type of transportation vehicle (P = 0.003). Multivariate logistic regression analysis showed that the location of residency and type of transportation vehicle could significantly predict the delay time in patients with AMI (P = 0.039 and 0.036, respectively).
The delay time from symptom onset to hospital admission was high in patients with AMI. It is necessary to create emergency medical system (EMS) stations in suburbs and train the public on the importance of quick contact with the EMS when the symptoms of an AMI are observed.
院前延误可能导致急性心肌梗死(AMI)患者死亡。
本研究旨在调查入住卡尚沙希德·贝赫什提医院的AMI患者的院前延误情况及其相关因素。
本横断面研究于2013年下半年对117例AMI患者进行。记录症状发作至抵达医院的间隔时间,对于延误的病例,使用问卷调查导致延误的因素。通过内容效度法确认问卷的内容效度,并使用克朗巴赫α系数确认其内部一致性。数据分析采用卡方检验、比值比和逻辑回归分析。
中位延误时间为129分钟(均值±标准差,240.44±295.30)。总体而言,32.5%的患者在症状发作后90分钟内入院。居住地点到医院的距离远是入院延误最常见的原因(31.7%)。观察到延误时间与居住地点(P = 0.00)和交通工具类型(P = 0.003)之间存在显著关联。多因素逻辑回归分析表明,居住地点和交通工具类型可显著预测AMI患者的延误时间(分别为P = 0.039和0.036)。
AMI患者从症状发作到入院的延误时间较长。有必要在郊区设立紧急医疗系统(EMS)站点,并对公众进行培训,使其了解在观察到AMI症状时迅速联系EMS的重要性。