Predictors of medical cost and Length of stay of motorcycle injury patients presenting to hospitals in Kisumu City, Kenya

Wilberforce Cholo, W. Odero, Japheths Ogendi
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Abstract

Background: Motorcycle crash injuries (MCIs) cause mortality and exert financial cost, globally. However, there is paucity of information on cost and length of stay of motorcycle injuries. Objective: To assess factors influencing medical costs and length of stay (LOS) of motorcycle crash injuries presenting in hospitals in Kisumu city, Methods: This was a cross-sectional study in which all 1073 motorcycle injury cases were enrolled over a period of six months. A pre-tested, questionnaire was used to collect data. Data were analysed using Analysis of Variance (ANOVA), logistic regression and multivariable regression analysis. P-value < 0.05 considered significant. Results: A total of 1073 motorcycle injury visits were made to the hospitals during the study period of which 46.0% were admitted. The total medical cost for motorcycle injury patients was Kshs. 19, 134,877 (USD 191348.77). The mean LOS was 19.8 days (1-235 days). Injuries requiring surgical intervention, higher injury severity score, and helmet non-use were significantly associated with higher medical cost and length of stay. Conclusion: Motorcycle injuries are a major cause of hospital use and present significant economic burden. Surgical intervention, injury severity and non-helmet use were the major predictors of length of stay and medical costs. Keywords: Motorcycle injuries; length of stay; cost; predictors; severity.
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在肯尼亚基苏木市医院就诊的摩托车伤患者医疗费用和住院时间的预测因素
背景:摩托车撞伤(MCIs)在全球范围内造成死亡和经济损失。然而,有关摩托车撞伤的成本和住院时间的信息却很少。目的:评估影响医疗成本和住院时间的因素:评估在基苏木市医院就诊的摩托车撞伤患者的医疗费用和住院时间(LOS)的影响因素:这是一项横断面研究,在 6 个月的时间内登记了所有 1073 个摩托车受伤病例。研究使用了一份预先测试过的问卷来收集数据。数据分析采用方差分析(ANOVA)、逻辑回归和多变量回归分析。P 值小于 0.05 视为显著。结果在研究期间,共有 1073 人次到医院就诊,其中 46.0% 为住院病人。摩托车伤患者的总医疗费用为 19 134 877肯尼亚先令(191348.77 美元)。平均住院日为 19.8 天(1-235 天)。需要手术治疗的损伤、较高的损伤严重程度评分和不使用头盔与较高的医疗费用和住院时间明显相关。结论摩托车受伤是住院的主要原因之一,也造成了巨大的经济负担。手术干预、受伤严重程度和不使用头盔是住院时间和医疗费用的主要预测因素。关键词摩托车伤;住院时间;费用;预测因素;严重程度。
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