Impact of road traffic injuries on disability rates and long-term care costs in Spain

Quality of life of survivors following road traffic orthopaedic injuries in Rwanda

Background

Road traffic injuries (RTI) pose a global public health threat, especially in low- and middle-income nations. These injuries typically cause orthopaedic problems that may negatively impair a person's physical and mental health and quality of life. Our study examined the quality of life of road traffic orthopaedic injuries (RTOI) survivors.

Methods

A cross-sectional study at five Rwandan referral hospitals, included 369 adult RTOI victims. Two years post-injury, participants completed the European Quality of life 5 Dimension 5 (EQ-5D-5L) and Visual Analogue Scale (VAS) Questionnaire between June 2 and August 31, 2022, with informed consent. Three EQ-5D-5L-VAS scores were used: low (0-40%), fair (41-60%), and excellent (61-100%). We used logistic regression analysis with a significance threshold of p < 0.05 to determine odds ratios (OR) and 95% CI.

Results

The RTOI victims had a mean age of 37.5 ± 11.26 years with sex ratio M:F:3:1. Usual activities (66.8%) and mobility (54.8%) were the most affected EQ-5D-5L dimensions. Residence, hospital stay, rehabilitation, and return to work affected mobility, usual activities, pain/discomfort, and anxiety/depression. The EQ-5D-5L/VAS score showed 34.95% poor QoL (0-40%) and 35.50% good QoL. Factors affecting QoL include level of education (OR = 1.66, p < <0.01), type of intervention (OR = 1.22, p = 0.003), rehabilitation (OR = 2.41, p < 0.01) and level of disability (OR = 196.41, p < 0.01). Mobility, self-care, usual activities, pain, comfort, anxiety, and depression vary moderately on Shannon's index.

Conclusion

The study highlights the significant impact of road traffic orthopaedic injuries (RTOI) on survivors' quality of life in Rwanda, revealing challenges in mobility and daily activities. Factors influencing quality of life include education level, medical intervention type, rehabilitation, and disability degree. The findings emphasize the need for tailored rehabilitation strategies and policy interventions to improve long-term outcomes for RTOI survivors.

Prevalence and levels of disability post road traffic orthopaedic injuries in Rwanda

Background

Prolonged disability resulting from road traffic injuries (RTIs) contributes significantly to morbidity and disease burden. A good understanding of the prevalence and the level of disability of orthopaedic injuries in developing countries is crucial for improvement; however, such data are currently lacking in Rwanda.

Objectives

To determine the prevalence and levels of disability of 2 years post-road traffic orthopaedic injuries in Rwanda.

Method

A multicentre, cross-sectional study from five Rwandan referral hospitals of 368 adult RTI victims' sustained from accidents in 2019. Between 02 June 2022, and 31 August 2022, two years after the injury, participants completed the World Health Organization Disability Assessment Schedule (WHODAS 2.0) Questionnaire for the degree of impairment and the Upper Extremity Functional Scale and Lower-Extremity Functional Scale forms for limb functional evaluation. Descriptive, inferential statistics Chi-square and multinomial regression models were analysed using R Studio.

Results

The study's mean age of the RTOI victims was 37.5 (±11.26) years, with a sex ratio M: F:3: 1. The prevalence of disability following road traffic orthopedic injury (RTOI) after 2 years was 36.14%, with victims having WHODAS score > 25.0% and 36.31% were still unable to return to their usual activities. Age group, Severe Kampala Trauma Score and lack of rehabilitation contributed to disability. The most affected WHODAS domains were participation in society (33%) and life activities (28%).

Conclusion

The prevalence and levels of disability because of RTOI in Rwanda are high, with mobility and participation in life being more affected than other WHODAS domains. Middle-aged and socio-economically underprivileged persons are the most affected.

Contribution

This study showed that a good rehabilitation approach and economic support for the RTI victims would decrease their disabilities in Rwanda.

Factors affecting social integration after road traffic orthopaedic injuries in Rwanda

Background

Road traffic injuries (RTIs) leading to long-term disability present a significant public health challenge, causing immense personal and societal consequences. Every year, 50 million people are hurt, 1.2 million die, 30% are permanently disabled, and 14% cannot return to work due to road traffic accidents. However, in many developing countries, information on the social integration of patients post-RTI remains limited. This study aimed to identify factors contributing to social integration following road traffic-related orthopedic injuries (RTOI) in Rwanda.

Methodology

A multicenter, cross-sectional study included 369 adult Road traffic orthopedic injuries (RTOI) victims from five Rwandan referral hospitals. Participants completed the IMPACT-S Questionnaire between 2 June 2022, and 31 August 2022, two years after the injury. It measured social integration in terms of activities and paricipation. We used logistic regression statistical analysis with a significance level of p < 0.05 to estimate odds ratios (OR) and 95% confidence intervals (CI). The Institutional Review Board for Health Sciences and Medicine at the University of Rwanda College of Medicine ethically authorized this study. Participants signed a written consent form before participating in the study. The data was kept private and was used only for this study.

Results

The study's findings indicated that the mean age of RTOI victims was 37.5 ± 11.26 years, with a notable male predominance over females. Of the participants, 5.69% were unable to resume normal life activities. The overall mean score on the IMPACT-S scale was moderate, at 77 ± 17. Specifically, participants achieved an average score of 76 ± 16 for "activities" and a higher average of 84 ± 16 for "participation." Certain factors were associated with poor social integration compared to others, including belonging to the age group above 65 years (OR = 8.25, p = 0.02), female sex (OR = 3.26, p = 0.02), lack of rehabilitation (OR = 3.82, p = 0.01), and length of hospital stay >15 days (OR = 4.44, p = 0.02).

Conclusion

The majority of RTOI victims in Rwanda achieved successful reintegration into society; nevertheless, their mobility and community engagement were more significantly impacted compared to other aspects assessed by the IMPACT-S scale. The study emphasized the importance of early management, effective rehabilitation, and prompt patient discharge from the hospital in facilitating a successful return to everyday life after road traffic-related orthopedic injuries.

Home Automation for Adults With Disability Following an Injury: Protocol for a Social Return on Investment Study

BACKGROUND

People with disability following a serious injury require long-term care. The most common injuries resulting in long-term disability are spinal cord and acquired brain injuries. While the long-term effects are difficult to predict and will vary between individuals, the costs of care and recovery span well beyond the initial treatment phase and include long-term care. Long-term care is changing with the availability and advances in cost and function of technologies, such as home automation. "Home automation" refers to technology that automates or remotely controls household functions. Home automation costs vastly differ, but home automation has the potential to positively impact the lives of people with disabilities. However, there is a dearth of evidence relating to the impact of home automation for people with a disability and few rigorous evaluations about the costs and return on investment.

OBJECTIVE

The purpose of this study is to describe the impact of home automation for people with long-term disability following a serious injury (such as a motor vehicle accident) using case studies, and by conducting an evaluation of the costs and outcomes for individuals, families, and the wider community using a Social Return on Investment (SROI) approach.

METHODS

SROI is a form of economic evaluation that develops a theory of change to examine the relationship among inputs, outputs, and outcomes and, in recent years, has gained popularity internationally, including in Australia. SROI has six phases: (1) identify scope and stakeholders, (2) map outcomes, (3) evidence outcomes and give them value, (4) establish impact, (5) calculate the SROI, and (6) report findings. Individuals with a disability who use home automation and key stakeholders will be interviewed. Stakeholders will be individuals involved in home automation for people with disabilities, such as allied health professionals, medical practitioners, equipment suppliers, engineers, and maintenance professionals. Users of home automation will be people who have a disability following a serious injury, have the capacity to provide consent, and have 1 or more elements of home automation. The impact of home automation will be established with financial proxies and appropriate discounts applied to avoid overestimating the social return. The SROI ratio will be calculated, and findings will be reported.

RESULTS

The project was funded in November 2021 by the Lifetime Support Authority. Recruitment is underway, and data collection is expected to be completed by October 2022. The final results of the study will be published in March 2023.

CONCLUSIONS

To our knowledge, this study represents the first study in Australia and internationally to employ SROI to estimate the social, personal, and community outcomes of home automation for people with a disability following a serious injury. This research will provide valuable information for funders, consumers, researchers, and the public to guide and inform future decision-making.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/42493.

Global, Regional, and National Burden of Road Injuries from 1990 to 2019

(1) Background: Understanding occurrence can help formulate effective preventative laws and regulations. However, the most recent global burden and road injuries (RIs) trends have not been reported. This study reports the burden of RIs globally from 1990 to 2019. (2) Methods: RIs data were downloaded from the Global Burden of Disease 2019. Incidence, deaths, and disability-adjusted life years (DALYs) described the trend and burden of RIs. We calculated age-standardized rates (ASRs) and estimated annual percentage change (EAPC) for the above indexes to evaluate the temporal trend of RIs. We evaluated the social-demographic index (SDI) with epidemiological RI parameters and reported proportions of age-standardized rates due to RI. (3) Results: In 2019, the global incidence of RIs reached 103.2 million. The EAPC of RI incidence increased, whereas deaths and DALYs decreased. Age-standardized incident rate (ASIR) was highest in low-middle SDI regions, age-standardized death rate (ASDR) was high in middle SDI regions, and age-standardized DALYs increased in low SDI regions. The highest accident rates were found in those aged 20-24 years old. Cyclist injuries were the leading RIs (34%), though pedestrian and motor vehicle accidents were the leading cause of death (37.4%, 37.6%) and DALYs (35.7%, 32.3%), respectively. (4) Conclusions: Over the past 30 years, RIs incidence increased annually, though death and DALY rates decreased. RIs places a considerable burden on public health in low SDI countries. Data should be used to develop and implement effective measures to reduce the burden of RIs.

Estimate of the magnitude of risky and protective behaviors associated with road traffic injuries in capitals participating in the Life in Traffic Project of Brazil

BACKGROUND

Brazil occupies the fifth position in the ranking of the highest mortality rates due to RTI in the world. With the objective of promoting traffic safety and consequently reducing deaths, Brazil created the Life in Traffic Project (LTP). The main goal of LTP is reducing 50% of RTI deaths, by promoting interventions to tackle risk factors, such as driving under the influence of alcohol and excessive and/or inappropriate speed. Thus, the aim of this study was to estimate the magnitude of risky and protective factors for RTI in capitals participating in the LTP in Brazil. We estimated these factors according to sociodemographic (age group, sex, education, race and, type of road user).

METHODS

A total of 5,922 car drivers and motorcyclists from 14 Brazilian capitals participating in the LTP were interviewed. Data collection was carried out in sobriety checkpoints at night and consisted of the administration of an interview and a breathalyzer test. Risky and protective behaviors associated with RTI were investigated. Covariates of the study were: age, sex, education, race and, type of road user. Poisson multiple regression analysis was used to assess the relationship between variables of interest.

RESULTS

The prevalence of individuals with positive blood alcohol concentration (BAC) was 6.3% and who reported driving after drinking alcohol in the last 30 days was 9.1%. The others risky behaviors reported were: driving at excessive speed on roads of 50 km/h, using a cell phone for calls while driving, using a cell phone to send or read calls while driving, running a red light. Use of seatbelts and helmets showed prevalence above 96,0% Use of seatbelts showed prevalence of 98.6% among car drivers, and helmet use was described by 96.6% of motorcycle drivers. Most risky behaviors were more prevalent in younger age groups (except BAC measurement higher in older participants), in males (except for cell phone use), in participants with higher education level and without a driver's license.

CONCLUSION

Excessive speed and driving under the influence of alcohol, defined as priorities within the LTP, need more consistent interventions, as they still have considerable prevalence in the cities investigated. The factors described such as cell phone usage and passing red traffic lights should also need to be prioritized as a focus on promoting traffic safety.

The economic burden of road traffic injuries until one-year after hospitalization: A survey study

OBJECTIVE

Road Traffic Injuries (RTIs) are one of the most crucial and challenging public health problems in low and middle income countries. Despite continuous efforts to estimate both personal and societal costs of RTIs however, their long-term effects have remained marginal. The current study aimed to explore the economic burden of RTIs until one year after the victim's hospitalization.

METHODS

The study included a total of 1150 RTI victims, who were admitted to two trauma-referral hospitals during 2016. Data on direct medical costs, direct non-medical costs and indirect costs were gathered for each study sample via hospital records and phone surveys. Direct and indirect costs from a social perspective were estimated based on Micro Costing Approach followed by the Human Capital Approach. Also, the explanatory variables affecting the costs of RTIs were identified using the liner regression model.

RESULTS

The average amounts of direct (medical, non-medical), indirect, and total costs of RTI were estimated as 2,908 US$ (1,591 US$, 1,316 US$), 5,790 US$, and 8,701 US$ respectively. Also, several variables were significantly affecting the costs of RTIs including age, marital status, employment status, severity of injury, receiving physiotherapy care, victim's vehicle type in crash, crash time and location.

CONCLUSIONS

Findings suggest that RTIs are considered as an enormous burden on Iranian GDP per capita and health expenditure per capita occupying 167% and 347% respectively. This enormous economic burden caused by RTIs requires more policy regulations and prevention programs to decrease RTIs.

Healthcare costs of road injuries in Saudi Arabia: A quantile regression analysis

BACKGROUND

Road traffic injuries (RTIs) are the second leading cause of death in Saudi Arabia. Their economic burden is significant but poorly quantified, as limited literature exists locally. We aim to estimate the impact of RTIs on healthcare costs.

METHODS

We included all patients from the hospital's trauma registry for the year 2017 (n = 381). Due to the availability of data, the analysis focused only on direct medical costs incurred during the hospitalization period. We computed the components of hospitalization costs and evaluated the association between patient and RTI characteristics and total hospitalization costs (the average and median) using quantile and log-linear regression techniques respectively.

RESULTS

Patients were relatively young with an average age of 31 years (SD ± 14.6). Overall, patients treated for RTIs cost the hospital around 77,657 Saudi Riyal (SAR) on average. Pedestrian injuries incurred the highest costs. Motor vehicle injuries accounted for the highest procedure-related costs (SAR 19,537). The quantile regressions results suggest that Glasgow coma scale (GCS), admission to intensive care unit (ICU), and hospital length of stay were significantly associated with an increase in hospitalization cost. Hospital home disposition was however, associated with a decrease in cost. One additional day of stay in the hospital increases total hospitalization cost by SAR 3,508. Additionally, the log-linear showed injury severity score (ISS < 16) was associated with a 20% decrease in the geometric mean of the hospitalization costs (p < 0.001).

CONCLUSIONS

This study underlines the economic burden of RTIs in addition to their impact on population health. The findings may be used to inform policymakers, researchers, and the public about the increasing burden of traffic crashes in the Kingdom. Public health interventions are warranted to reduce the severity and frequency of RTIs in order to improve traffic safety and reduce associated healthcare costs.

Road Safety in Low-Income Countries: State of Knowledge and Future Directions

Road safety in low-income countries (LICs) remains a major concern. Given the expected increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is imperative to better understand the underlying mechanisms of road safety. This in turn will allow for planning cost-effective road safety improvement programs in a timely manner. With the general aim of improving road safety in LICs, this paper discusses the state of knowledge and proposes a number of future research directions developed from literature reviews and expert elicitation. Our study takes a holistic approach based on the Safe Systems framework and the framework for the UN Decade of Action for Road Safety. We focused mostly on examining the problem from traffic engineering and safety policy standpoints, but also touched upon other sectors, including public health and social sciences. We identified ten focus areas relating to (i) under-reporting; (ii) global best practices; (iii) vulnerable groups; (iv) disabilities; (v) road crash costing; (vi) vehicle safety; (vii) proactive approaches; (viii) data challenges; (ix) social/behavioural aspects; and (x) capacity building. Based on our findings, future research ought to focus on improvement of data systems, understanding the impact of and addressing non-fatal injuries, improving estimates on the economic burden, implementation research to scale up programs and transfer learnings, as well as capacity development. Our recommendations, which relate to both empirical and methodological frontiers, would lead to noteworthy improvements in the way road safety data collection and research is conducted in the context of LICs.

Health-Related Quality of Life Profiles among Patients with Different Road Traffic Injuries in an Urban Setting of Vietnam

Road traffic injuries (RTIs) cause a substantial disease burden in Vietnam. Evaluating health-related quality of life (HRQOL) among patients having a diversity of RTIs informs an integral part of treatment effectiveness. This study aims to examine HRQOL of patients suffering different RTIs in Vietnam’s urban areas. A cross-sectional study was conducted on 408 patients from October to December 2018 in six hospitals in Thai Binh. The EuroQol-5 dimensions-5 levels (EQ-5D-5L) and visual analog scale (VAS) were used to assess the HRQOL of patients. Multivariable Tobit regression was applied to measure the difference of HRQOL among different kinds of injuries. The mean EQ-5D-5L and VAS score was 0.40–0.66, respectively. Mean EQ-5D-5L index was lowest in patients with oral and facial injuries (0.22) and fracture injuries (0.23), while patients having hand injuries had the highest EQ-5D-5L index (0.54). EQ-5D-5L index had a negative association with oral, facial, and fracture injuries. Meanwhile, patients with brain, fracture, and multiple injuries tended to have lower VAS score. Poor HRQOL among patients injured in road traffic were observed. Pain management, early rehabilitation, and mental health counseling services should be considered during treatment time, especially among those having the brain, oral and facial trauma, fracture, and multiple injuries.

A discrete mixture regression for modeling the duration of non-hospitalization medical leave of motor accident victims

Studies analyzing the temporary repercussions of motor vehicle accidents are scarcer than those analyzing permanent injuries or mortality. A regression model to evaluate the risk factors affecting the duration of temporary disability after injury in such an accident is constructed using a motor insurance dataset. The length of non-hospitalization medical leave, measured in days, following a motor accident is used here as a measure of the severity of temporary disability. The probability function of the number of days of sick leave presents spikes in multiples of five (working week), seven (calendar week) and thirty (month), etc. To account for this, a regression model based on finite mixtures of multiple discrete distributions is proposed to fit the data properly. The model provides a very good fit when the multiples for the working week, week, fortnight and month are taken into account. Victim characteristics of gender and age and accident characteristics of the road user type, vehicle class and the severity of permanent injuries were found to be significant when accounting for the duration of temporary disability.

After-effects and disabilities in traffic crash victims in northern Brazil

OBJECTIVES

The objective of this study was to identify the characteristics related to crash and victim, as well as the after-effects/disabilities and consequences arising from traffic crashes occurring in the city of Rio Branco-Acre.

METHODS

This is an analytical descriptive cross-sectional study conducted in the City of Rio Branco-Acre. The study population consisted of 405 residents of the city who were victims of traffic crashes, of all age groups and genders, who were hospitalized for the first time as a result of the crash in public hospitals and the health system network, as recorded in the Hospital Information System, and who were discharged between January 1 and December 31, 2010. The data sources included hospital record consultations and active searches for the victims. Hierarchical logistic regression was performed to evaluate the factors associated with the after-effects.

RESULTS

The majority of the study population was motorcycle victims (68.6%), male, and young (20-39 years). Concerning the after-effects, the following were significantly associated: factors related to the presence of a postcrash activity limitation (odds ratio [OR] = 2.39; 95% confidence interval [CI], 2.39-6.76), length of hospital stay in days (OR = 1 03; 95% CI, 1.01-1.06), and surgical treatment (OR = 1.82; 95% CI, 1.03-3.21). Those who suffered damage to soft tissue and nerves or facial injury showed an odds ratio of 2 to 4 times of having an after-effect/disability, independent of the victim's personal attributes.

CONCLUSION

The mechanism, such as the origin of the pattern of injuries, explains the exposure factors shown by each attribute of the victim and their characteristics. Many of the injuries were precursors to after-effects/disabilities, which, due to their nature and extent, result in the modification of the apparently healthy living standards of young victims who are routinely injured in traffic crashes. Therefore, public policies for prevention should be formulated, reformulated, and implemented, taking into account each attribute of the victims and their social conditions, because these are closely related to their habits and customs. This is a starting point for promoting changes to the current reality that traffic crashes present in the morbidity and mortality of the population.

Comparison of influencing factors on outcomes of single and multiple road traffic injuries: A regional study in Shanghai, China (2011-2014)

INTRODUCTION

To identify key intervention factors and reduce road traffic injury (RTI)-associated mortality, this study compared outcomes and influencing factors of single and multiple road traffic injuries (RTIs) in Shanghai.

METHODS

Based on the design of National Trauma Data Bank, this study collected demographic, injury, and outcome data from RTI patients treated at the four largest trauma centers in Shanghai from January 2011 to January 2015. Data were analyzed with descriptive statistics, univariate analysis, and hierarchical logistic regression analysis.

RESULTS

Among 2397 participants, 59.4% had a single injury, and 40.6% had multiple injuries. Most patients' outcome was cure or improvement. For single-RTI patients, length of stay, body region, central nervous system injury, acute renal failure, multiple organ dysfunction syndrome, bacterial infection, and coma were significantly related to outcome. For multiple-RTI patients, age, admission pathway, prehospital time, length of stay, number of body regions, body region, injury condition, injury severity score, and coma were significantly related to outcome.

CONCLUSIONS

Emergency rescue in road traffic accidents should focus on high-risk groups (the elderly), high-incidence body regions (head, thorax, pelvis) and number of injuries, injury condition (central nervous system injury, coma, complications, admission pathway), injury severity (critically injured patients), and time factors (particularly prehospital time).

Identifying risk factors for household burdens of road traffic fatalities: regression results from a cross-sectional survey in Taiwan

BACKGROUND

Road traffic fatalities (RTF) are among the top ten causes of deaths in the world. The risk factors for RTF fatal victims have been extensively characterized, but studies of household burden of RTF have been very few in number. Accordingly, this article investigates post-crash impacts on RTF victims' family members, including the adverse impacts of lost income, occupational disruption, unfavorable family dynamics, and residential relocation.

METHODS

Survey data from 1291 RTF family members interviewed in Taiwan in 2012 provide the evidence of impact used in this article. Twelve variables related to the family member's socio-demographic background were used to predict the scope of the adverse impact of a fatal crash in regression models developed for this analysis.

RESULTS

RTF victims' spouses with relatively low personal incomes and strong dependence upon the crash victims were found to be most likely to experience a marked decrease in post- crash quality of life. RTF victims' family members who lived with few other adult cohabitants and had more juvenile dependents and were emotionally dependent on the victims were found to be quite likely to experience post- crash setbacks in occupational stability. RTF victims' family members who were emotionally dependent on the victims were found to be more likely to experience major family life disruptions. The younger the RTF victims' family members, and the more years since the crash, the higher the likelihood of residential relocation taking place.

CONCLUSIONS

The results noted help identify those RTF victims' families that will most likely be adversely affected by the crash. The true societal costs of RTF crashes should include the adversities suffered by the fatal crash victims' families. Social welfare policies, mental health support, and timely supplemental resources should be made available to those surviving families most at risk of major life disruptions.

Copula-based regression modeling of bivariate severity of temporary disability and permanent motor injuries

The analysis of factors influencing the severity of the personal injuries suffered by victims of motor accidents is an issue of major interest. Yet, most of the extant literature has tended to address this question by focusing on either the severity of temporary disability or the severity of permanent injury. In this paper, a bivariate copula-based regression model for temporary disability and permanent injury severities is introduced for the joint analysis of the relationship with the set of factors that might influence both categories of injury. Using a motor insurance database with 21,361 observations, the copula-based regression model is shown to give a better performance than that of a model based on the assumption of independence. The inclusion of the dependence structure in the analysis has a higher impact on the variance estimates of the injury severities than it does on the point estimates. By taking into account the dependence between temporary and permanent severities a more extensive factor analysis can be conducted. We illustrate that the conditional distribution functions of injury severities may be estimated, thus, providing decision makers with valuable information.

Modelling road accident blackspots data with the discrete generalized Pareto distribution

This study shows how road traffic networks events, in particular road accidents on blackspots, can be modelled with simple probabilistic distributions. We considered the number of crashes and the number of fatalities on Spanish blackspots in the period 2003-2007, from Spanish General Directorate of Traffic (DGT). We modelled those datasets, respectively, with the discrete generalized Pareto distribution (a discrete parametric model with three parameters) and with the discrete Lomax distribution (a discrete parametric model with two parameters, and particular case of the previous model). For that, we analyzed the basic properties of both parametric models: cumulative distribution, survival, probability mass, quantile and hazard functions, genesis and rth-order moments; applied two estimation methods of their parameters: the μ and (μ+1) frequency method and the maximum likelihood method; used two goodness-of-fit tests: Chi-square test and discrete Kolmogorov-Smirnov test based on bootstrap resampling; and compared them with the classical negative binomial distribution in terms of absolute probabilities and in models including covariates. We found that those probabilistic models can be useful to describe the road accident blackspots datasets analyzed.