TY - JOUR T1 - Home-related and work-related injuries in Makwanpur district, Nepal: a household survey JF - Injury Prevention JO - Inj Prev DO - 10.1136/injuryprev-2020-043986 SP - injuryprev-2020-043986 AU - Puspa Raj Pant AU - Toity Deave AU - Amrit Banstola AU - Sumiksha Bhatta AU - Elisha Joshi AU - Dhruba Adhikari AU - Sunil Raja Manandhar AU - Sunil Kumar Joshi AU - Julie A Mytton Y1 - 2020/11/04 UR - http://injuryprevention.bmj.com/content/early/2020/11/04/injuryprev-2020-043986.abstract N2 - Objective To describe the epidemiology of home-related and work-related injuries, their mechanisms, inequalities and costs associated with these injuries.Methods A household survey was undertaken in three palikas of Makwanpur district between April and June 2019. Data were collected electronically on non-fatal injuries that occurred in the previous 3 months and fatal injuries that occurred in the previous 5 years.Findings 17 593 individuals were surveyed from 3327 households. Injury rates were 8.0 per 1000 population for home injuries and 6.4 per 1000 for work-related injuries; 61.0% of home injuries were among women and 69.9% of work-related injuries among men. Falls were the cause of 48% home injuries, affecting 50.9% of men and 46.5% of women. Burns/scalds were higher in women than men, affecting 17.4% of women reporting home injuries. Cuts and piercings accounted for 39.8% of all work-related injuries and 36.3% were falls. Injury incidence varied by ethnic group: home injuries were highest in Brahmin (12.0 per 1000) and work-related injuries highest in Rai groups (21.0 per 1000). The total mean costs (transport and treatment) of work-related injury was US$143.3 (SD 276.7), higher than for home injuries (US$130.4, SD 347.6). The number of home (n=74, 64.9%) and work-related (n=67, 77.9%) injuries were higher in families below the poverty line than families in the next income bracket (home: n=22, 19.3%; work: n=11, 12.8%).Conclusions Home-related and work-related fall injuries are common. The inequalities in injury identified in our study by rurality, age, sex, income level and ethnic group can help target injury prevention interventions for vulnerable groups. ER -