PDF(Pubmed)
Abstract：
BACKGROUND: Road traffic accidents(RTA) are a major public health problem worldwide, accounting for almost 1.24 million deaths per year and it is the number one cause of death among those aged group 15-29 years. Even though there are great benefits from access to road transportation there also poses a great challenge in the individual\'s daily activities ranging from minor injury to death.
OBJECTIVE: This study aimed to assess the magnitude and outcome of road traffic accidents among patients admitted in Dessie Town Governmental Hospitals, Northeast Amhara, Ethiopia, 2022.
METHODS: A five-year hospital-based retrospective descriptive cross-sectional study design was conducted among 377 road traffic accident patients admitted to Dessie Town Governmental hospitals. Data were collected by simple random methods based on patient chart reviews from June 7/, 2022 to May 23/ 2017 using a checklist adapted from the WHO standard hospital-based road traffic accident questionnaires after obtaining consent from the concerned authority. EPI-Data software version 7.2 for data entry and SPSS version 25 for statistical analysis were used. Descriptive and inferential statistics were used. Statistical significance was declared at a p-value of < 0.05 with an adjusted odds ratio (AOR) and a 95% confidence interval (CI) in the final multinomial logistic regression model.
RESULTS: The magnitude of road traffic accidents was 59%, using of logistic multi nominal logistic regression we found results such that, road traffic victims who had unstable vital signs at admission (AOR = 6.4,95% CI; 2.5-16.6), didn\'t get prehospital treatment (AOR = 9.3,95% CI; 4-20), and severe injury (AOR = 9, 95% CI;7-15.4), had a Glasgow coma scale of 3-5 (AOR = 5.2,95% CI; 1.4-20) were found predictors for death were as unstable vital signs at admission (AOR = 3.79,95%CI;2.1-6.8), Doesn\'t get prehospital treatment (AOR = 2.8, 95% CI; 1.4-5.7), Hospital stay for one to two months duration (AOR = 6,95% CI;2.3-15), and greater than two months duration (AOR = 6.5,95%CI;2.5-17) were found predictors for disability among road traffic victims.
CONCLUSIONS: Road traffic accidents constitute a major public health problem in our setting and contribute significantly to excessively high morbidity and mortality. Unstable vital signs at admission, Client doesn\'t get prehospital treatment, severely injured client, and had a Glasgow coma scale of 3-5 were found predictors for death were as an unstable vital sign at admission, Client doesn\'t get pre-hospital treatment, Hospital stays for one to two months duration, and greater than two months duration were found predictors for disability among road traffic victims.
OBJECTIVE: This study aimed to assess the magnitude and outcome of road traffic accidents among patients admitted in Dessie Town Governmental Hospitals, Northeast Amhara, Ethiopia, 2022.
METHODS: A five-year hospital-based retrospective descriptive cross-sectional study design was conducted among 377 road traffic accident patients admitted to Dessie Town Governmental hospitals. Data were collected by simple random methods based on patient chart reviews from June 7/, 2022 to May 23/ 2017 using a checklist adapted from the WHO standard hospital-based road traffic accident questionnaires after obtaining consent from the concerned authority. EPI-Data software version 7.2 for data entry and SPSS version 25 for statistical analysis were used. Descriptive and inferential statistics were used. Statistical significance was declared at a p-value of < 0.05 with an adjusted odds ratio (AOR) and a 95% confidence interval (CI) in the final multinomial logistic regression model.
RESULTS: The magnitude of road traffic accidents was 59%, using of logistic multi nominal logistic regression we found results such that, road traffic victims who had unstable vital signs at admission (AOR = 6.4,95% CI; 2.5-16.6), didn\'t get prehospital treatment (AOR = 9.3,95% CI; 4-20), and severe injury (AOR = 9, 95% CI;7-15.4), had a Glasgow coma scale of 3-5 (AOR = 5.2,95% CI; 1.4-20) were found predictors for death were as unstable vital signs at admission (AOR = 3.79,95%CI;2.1-6.8), Doesn\'t get prehospital treatment (AOR = 2.8, 95% CI; 1.4-5.7), Hospital stay for one to two months duration (AOR = 6,95% CI;2.3-15), and greater than two months duration (AOR = 6.5,95%CI;2.5-17) were found predictors for disability among road traffic victims.
CONCLUSIONS: Road traffic accidents constitute a major public health problem in our setting and contribute significantly to excessively high morbidity and mortality. Unstable vital signs at admission, Client doesn\'t get prehospital treatment, severely injured client, and had a Glasgow coma scale of 3-5 were found predictors for death were as an unstable vital sign at admission, Client doesn\'t get pre-hospital treatment, Hospital stays for one to two months duration, and greater than two months duration were found predictors for disability among road traffic victims.
摘要：
背景：道路交通事故（RTA）是世界范围内的主要公共卫生问题，每年约有124万人死亡，是15-29岁年龄组的头号死因。尽管获得公路运输带来了巨大的好处，但在个人的日常活动中，从轻伤到死亡也构成了巨大的挑战。
目的：本研究旨在评估德西镇政府医院住院患者道路交通事故的严重程度和后果。阿姆哈拉东北部，埃塞俄比亚,2022年。
方法：在德西镇政府医院收治的377名道路交通事故患者中进行了一项为期五年的基于医院的回顾性描述性横断面研究设计。数据是根据6月7日/的患者病历回顾通过简单随机方法收集的，2022年至2017年5月23日，在获得有关当局同意后，使用根据世卫组织标准医院道路交通事故问卷改编的清单。使用EPI-Data软件7.2版进行数据输入，使用SPSS25版进行统计分析。使用描述性和推断性统计。在最终的多项逻辑回归模型中，调整后的比值比（AOR）和95％置信区间（CI）在p值<0.05时宣布有统计学意义。
结果：道路交通事故的严重程度为59%，使用逻辑多元逻辑回归，我们发现结果如下，入院时生命体征不稳定的道路交通受害者（AOR=6.4,95％CI；2.5-16.6），未接受院前治疗（AOR=9.3,95%CI；4-20），和严重伤害（AOR=9，95%CI；7-15.4），格拉斯哥昏迷评分为3-5（AOR=5.2,95％CI;1.4-20），发现死亡的预测因子在入院时是不稳定的生命体征（AOR=3.79,95CI;2.1-6.8），未接受院前治疗（AOR=2.8，95%CI；1.4-5.7），住院一至两个月(AOR=6,95%CI；2.3-15)，超过两个月的持续时间(AOR=6.5,95CI;2.5-17)是道路交通受害者残疾的预测因素。
结论：道路交通事故在我们的环境中构成了主要的公共卫生问题，并显着导致过高的发病率和死亡率。入院时生命体征不稳定,客户没有得到院前治疗,受重伤的客户,格拉斯哥昏迷评分为3-5分，发现死亡的预测因素是入院时不稳定的生命体征，客户没有得到院前治疗,住院一至两个月，发现超过两个月的持续时间是道路交通受害者残疾的预测因素。
目的：本研究旨在评估德西镇政府医院住院患者道路交通事故的严重程度和后果。阿姆哈拉东北部，埃塞俄比亚,2022年。
方法：在德西镇政府医院收治的377名道路交通事故患者中进行了一项为期五年的基于医院的回顾性描述性横断面研究设计。数据是根据6月7日/的患者病历回顾通过简单随机方法收集的，2022年至2017年5月23日，在获得有关当局同意后，使用根据世卫组织标准医院道路交通事故问卷改编的清单。使用EPI-Data软件7.2版进行数据输入，使用SPSS25版进行统计分析。使用描述性和推断性统计。在最终的多项逻辑回归模型中，调整后的比值比（AOR）和95％置信区间（CI）在p值<0.05时宣布有统计学意义。
结果：道路交通事故的严重程度为59%，使用逻辑多元逻辑回归，我们发现结果如下，入院时生命体征不稳定的道路交通受害者（AOR=6.4,95％CI；2.5-16.6），未接受院前治疗（AOR=9.3,95%CI；4-20），和严重伤害（AOR=9，95%CI；7-15.4），格拉斯哥昏迷评分为3-5（AOR=5.2,95％CI;1.4-20），发现死亡的预测因子在入院时是不稳定的生命体征（AOR=3.79,95CI;2.1-6.8），未接受院前治疗（AOR=2.8，95%CI；1.4-5.7），住院一至两个月(AOR=6,95%CI；2.3-15)，超过两个月的持续时间(AOR=6.5,95CI;2.5-17)是道路交通受害者残疾的预测因素。
结论：道路交通事故在我们的环境中构成了主要的公共卫生问题，并显着导致过高的发病率和死亡率。入院时生命体征不稳定,客户没有得到院前治疗,受重伤的客户,格拉斯哥昏迷评分为3-5分，发现死亡的预测因素是入院时不稳定的生命体征，客户没有得到院前治疗,住院一至两个月，发现超过两个月的持续时间是道路交通受害者残疾的预测因素。
