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. 2024 Jun;24(2):405-419.
doi: 10.4314/ahs.v24i2.41.

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

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

Wilberforce Cholo et al. Afr Health Sci. 2024 Jun.

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; cost; length of stay; predictors; severity.

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Conflict of interest statement

We declare that there is no conflict of interest.

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