Back

Multiple Burden of Road Traffic Crashes among Risk Groups: A Patient Perspective Approach in Mid-hilly District of Nepal

Bishwokarma, S.; Adhikari, C.; Khatri, D.; Gauchan, B.; Sapkota, V. P.; Ranabhat, C. L.

2022-05-16 public and global health
10.1101/2022.05.16.22275143 medRxiv
Show abstract

BackgroundThe economic burden and cost-related evidence from primary data of road traffic crashes (RTCs) in Nepal are limited. AimThis study assessed the disability-adjusted life years (DALYs), the cost associated with RTCs, and socio-demographic and injury related factors. MethodsWe carried out a retrospective cross-sectional, institution-based survey of the RTC victims in the last one year to 45 days prior to the survey, in Pokhara and the surroundings in Kaski district, a mid-hilly district and the headquarter of Gandaki province of Nepal. A sample of 107 RTC victims, registered in different hospitals, police offices and health insurance offices, were retrospectively approached. A semi-structured interview schedule was used to collect data. Data were entered into EpiData before being imported, and analysed in the Statistical Package for Social Sciences (SPSS) and MS-Excel. Descriptive statistics were generated by calculating costs and DALYs, and inferential analysis was used to investigate the relationship between DALYs and independent variables. ResultsMore than one-third (37.4%) of the 107 victims were between the ages of 25 and 44, and more than half (60.7%) were men. The cost per million person-years of RTC was around US $ 82,800. Similarly, around 1021 DALYs per million person-years are attributed to RTC, and more than 99% of them are shared by YLL. We observed the highest number of frequencies of young (p<.01), having university degree (p<.01), unemployed (p<.05), motorcyclists (p<.01), highest economic quintile (p<.01), and seriously injured (p<.01). In addition, we also observed a low positive correlation (r=0.33, p<.01) between DALYs and the victims indirect cost. ConclusionThe cost and DALYs associated by RTC of Kaski district were around US $ 82,800 and 1021 per million person-years in 2017, respectively. Young unemployed motorcyclists were the most frequent victims. Victims indirect cost is increased with DALYs, suggesting a policy implication.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.