Burden Calculator: a simple and open analytical tool for estimating the population burden of injuries

Bhalla, Kavi; Harrison, James Edward

doi:10.1136/injuryprev-2015-041816

Cited by 6 publications

(3 citation statements)

References 12 publications

(10 reference statements)

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“…This has implications for the length of trauma patient follow-up studies, for information provided to individuals and their families following trauma treatment [ 28 ], for the support services provided to trauma patients post-discharge [ 12 ], for injury compensation, and for estimating the DALY in terms of calculating the YLL. Sensitivity estimates of the effect on the DALY of varying YLL could be examined using the injury burden calculator [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Higher mortality risk among injured individuals in a population-based matched cohort study

2017

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BackgroundImproved understanding of long-term mortality attributable to injury is needed to accurately inform injury burden studies. This study aims to quantify and describe mortality attributable to injury 12 months after an injury-related hospitalisation in Australia.MethodA population-based matched cohort study using linked hospital and mortality data from three Australian states during 2008–2010 was conducted. The injured cohort included individuals ≥18 years who had an injury-related hospital admission in 2009. A comparison cohort of non-injured people was obtain by randomly selecting from the electoral roll. This comparison group was matched 1:1 on age, gender and postcode of residence. Pre-index injury health service use and 12-month mortality were examined. Adjusted mortality rate ratios (MRR) and attributable risk were calculated. Cox proportional hazard regression was used to examine the effect of risk factors on survival.ResultsInjured individuals were almost 3 times more likely to die within 12 months following an injury (MRR 2.90; 95% CI: 2.76–3.04). Individuals with a traumatic brain injury (MRR 7.58; 95% CI: 5.92–9.70) or injury to internal organs (MRR 7.38; 95% CI: 5.90–9.22) were 7 times more likely to die than the non-injured group. Injury was likely to be a contributory factor in 92% of mortality within 30 days and 66% of mortality at 12 months following the index injury hospital admission. Adjusted mortality rate ratios varied by type of cause-specific death, with MRR highest for injury-related deaths.ConclusionsThere are likely chronic consequences of sustaining a traumatic injury. Longer follow-up post-discharge is needed to consider deaths likely to be attributable to the injury. Better enumeration of long-term injury-related mortality will have the potential to improve estimates of injury burden.

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Section: Discussionmentioning

confidence: 99%

Higher mortality risk among injured individuals in a population-based matched cohort study

2017

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“…To estimate the current (baseline) burden in each country, we calculated DALYs based on the 2019 incidence data and proportions described in the previous section using a burden calculator tool. 32 The calculator also requires population distribution data disaggregated by sex and age group. We identified national data sources for 2019 in Brunei Darussalam, Cambodia, Philippines and Singapore.…”

Section: Methodsmentioning

confidence: 99%

Estimated potential death and disability averted with vehicle safety interventions, Association of Southeast Asian Nations

Antona‐Makoshi¹,

Muslim²,

Medojevic³

et al. 2023

Bull World Health Org

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“…The patients with incomplete information were excluded from the data set. The burden calculator version 1.10, [8] was used as the statistical tool, which was an open analytical tool for estimating the population burden of injuries. It was Excel-based, including the default set of estimation parameters which were conceptually based on global burden of disease (GBD)-2010 assumption.…”

Section: Methodsmentioning

confidence: 99%

Using Disability-Adjusted Life Years to assess the burden of road traffic injuries in Nay Pyi Taw, Myanmar

Thaw

Phanprasit

Amnatsatsue

et al. 2020

Preprint

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Background Road traffic injury (RTI) is growing public health problem in Myanmar. In addition, every count in road crush is followed by remarkable burdens in the community. In this study, burden of disease (BOD) approach is used to quantify this hidden problem in the studied area. Aim/Objective/Purpose To assess the burden of traffic injuries in Nay Pyi Taw Union Territory, Myanmar Methods This cross-sectional study analyzed 16,338 traffic injury victims in injury registry, from 2012 to 2016. The burden was estimated by disability-adjusted life years (DALYs). The analysis was disaggregated by sex, age and type of road users, as well as expressed the rate by per 100,000 population. Results/Outcomes It was 60,962 DALYs in total for the studied period, with the rate of 1050.85 per 100,000 population. Although premature death in road crash was only 6.2% in the study, it attributed 87.8% of total burden. Total DALYs contributed by male were three-times higher than female. Nearly half of burden came from the young and productive population of 15-29 years. The highest DALYs rate was seen in the 20-24 years in male and 30-34 years in female. The highest RTI burden was due to motorized two-wheelers, with 69.4% of total DALYs. Conclusion This study initiates usefulness of local data from injury registry to calculate the burden of injury. The findings highlight a huge burden of traffic injuries in the community, focusing on the hidden contribution of fatal cases and the vulnerability of young adult, male and motorcyclists in traffic accidents.

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Burden Calculator: a simple and open analytical tool for estimating the population burden of injuries

Cited by 6 publications

References 12 publications

Higher mortality risk among injured individuals in a population-based matched cohort study

Higher mortality risk among injured individuals in a population-based matched cohort study

Estimated potential death and disability averted with vehicle safety interventions, Association of Southeast Asian Nations

Using Disability-Adjusted Life Years to assess the burden of road traffic injuries in Nay Pyi Taw, Myanmar

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