1. |
- Bergsten, Eva L., 1969-, et al.
(author)
-
Fall and collision related injuries among pedestrians, sickness absence and associations with accident type and occupation
- 2023
-
In: Journal of Safety Research. - : Elsevier. - 0022-4375 .- 1879-1247. ; 86, s. 357-363
-
Journal article (peer-reviewed)abstract
- Objectives: This study explores pedestrian fall accidents and collisions with other road users in the Swedish road transport system, and sickness absence (SA) in relation to accident type, injury, and occupation. Further, it studies the associations between accident type, occupation, and duration of SA. Methods: Data from several national registers were used that included 15,359 working age pedestrians (20–64 years) receiving healthcare after a fall or collision throughout 2014–2016. Individual characteristics, accident type, injury, and occupation were presented and related to SA. Logistic regression was used to estimate odds ratios (OR), with 95% confidence intervals, for associations between accident type, occupation, and SA duration. Results: About 11,000 pedestrians (72%) were involved in fall accidents in the road traffic environment and well over 4,000 in collisions with another road user; 22% of all injured pedestrians had a new SA. The population had a higher proportion of women and individuals in older age groups (≥45). Of the falls, 31% were due to snow or ice, and these were associated with a higher OR for both short SA (<90 days) 1.76 (95% CI 1.56–1.98) and long SA (≥90 days) 1.81 (95% CI 1.51–2.18), compared to the group slipping, tripping, and stumbling. The working sectors health & social care, and construction had the highest ORs for SA. A higher OR was found for health & social care, short SA 1.58 (95% CI 1.38–1.81), long SA 1.79 (95% CI 1.45–2.20) and for construction, short SA 1.56 (95% CI 1.24–1.96), long SA 1.75 (95% CI 1.26–2.44), compared to the sector finance, communication, & cultural service. Conclusions: The OR for having short and long SA was higher in falls due to snow or ice and differed between occupational sectors. Practical implications: This information contributes to the knowledge base for planning a safe road transport system for pedestrians.
|
|
2. |
- Bergsten, Eva L., 1969-, et al.
(author)
-
Fall and collision related injuries among pedestrians, sickness absence and associations with accident type and occupation
- 2023
-
In: Journal of Safety Research. - : Elsevier. - 0022-4375 .- 1879-1247. ; 86, s. 357-363
-
Journal article (peer-reviewed)abstract
- OBJECTIVES: This study explores pedestrian fall accidents and collisions with other road users in the Swedish road transport system, and sickness absence (SA) in relation to accident type, injury, and occupation. Further, it studies the associations between accident type, occupation, and duration of SA.METHODS: Data from several national registers were used that included 15,359 working age pedestrians (20-64 years) receiving healthcare after a fall or collision throughout 2014-2016. Individual characteristics, accident type, injury, and occupation were presented and related to SA. Logistic regression was used to estimate odds ratios (OR), with 95% confidence intervals, for associations between accident type, occupation, and SA duration.RESULTS: About 11,000 pedestrians (72%) were involved in fall accidents in the road traffic environment and well over 4,000 in collisions with another road user; 22% of all injured pedestrians had a new SA. The population had a higher proportion of women and individuals in older age groups (≥45). Of the falls, 31% were due to snow or ice, and these were associated with a higher OR for both short SA (<90 days) 1.76 (95% CI 1.56-1.98) and long SA (≥90 days) 1.81 (95% CI 1.51-2.18), compared to the group slipping, tripping, and stumbling. The working sectors health & social care, and construction had the highest ORs for SA. A higher OR was found for health & social care, short SA 1.58 (95% CI 1.38-1.81), long SA 1.79 (95% CI 1.45-2.20) and for construction, short SA 1.56 (95% CI 1.24-1.96), long SA 1.75 (95% CI 1.26-2.44), compared to the sector finance, communication, & cultural service.CONCLUSIONS: The OR for having short and long SA was higher in falls due to snow or ice and differed between occupational sectors.PRACTICAL IMPLICATIONS: This information contributes to the knowledge base for planning a safe road transport system for pedestrians.
|
|
3. |
- Bergsten, Linnea, et al.
(author)
-
Designing engaging computer based simulation games for increasing societal resilience to payment system
- 2020
-
In: Proceedings of the 2020 the 3rd International Conference on Computers in Management and Business (ICCMB 2020) Session - Computer and Mobile Technology. - New York : Association for Computing Machinery (ACM). - 9781450376778 ; , s. 166-172, s. 166-172
-
Conference paper (peer-reviewed)abstract
- Large or lengthy disruptions to the card payment system are threats that can cause crisis in society, especially in countries where other payment options are scarce. This paper presents a study that provides suggestions on how to improve a simulation game used to increase societal resilience to payment system disruptions. Questionnaires and interviews have been used to investigate how 16 participant in crisis exercises experience realism, relevance and validity in such exercises. Suggestions on how to improve the simulation game are provided, such as improvements to the graphical interface and introducing supporting roles from the exercise management.
|
|
4. |
- Jaber, Amanda, et al.
(author)
-
Evaluating the observation protocol of the Team Resilience Assessment Method for Simulation (TRAMS)
- 2019
-
In: Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. - Valencia, Spain : ISCRAM. - 9788409104987 ; , s. 218-229
-
Conference paper (peer-reviewed)abstract
- This work in progress paper presents an initial evaluation of the observation protocol of the Team Resilience Assessment Method for Simulation (TRAMS) conducted in a crisis response simulation project. TRAMS isdesigned to assess the resilience of crisis response teams. The TRAMS observation protocol uses six coreresilience functions from the Systemic Resilience Model as its theoretical foundation. Three independentobservers used the protocol during a pilot study and six actual simulation games. Strategies relating to three outof six core resilience functions could be identified. The observations made were distributed similarly among theobservers, indicating that the components of the TRAMS protocol are stable enough to continue developing theprotocol. This study describes changes made to the protocol since the original design, and describes how thestrategies relating to the six core resilience functions can be identified in the simulation games.
|
|
5. |
- Kjeldgård, Linnea, 1985-, et al.
(author)
-
Diagnosis-specific sickness absence among injured working-aged pedestrians: a sequence analysis
- 2023
-
In: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 23:1, s. 367-
-
Journal article (peer-reviewed)abstract
- BACKGROUND: The knowledge about the long-term consequences in terms of sickness absence (SA) among pedestrians injured in a traffic-related accident, including falls, is scarce. Therefore, the aim was to explore diagnosis-specific patterns of SA during a four-year period and their association with different sociodemographic and occupational factors among all individuals of working ages who were injured as a pedestrian. METHODS: A nationwide register-based study, including all individuals aged 20-59 and living in Sweden, who in 2014-2016 had in- or specialized outpatient healthcare after a new traffic-related accident as a pedestrian. Diagnosis-specific SA (> 14 days) was assessed weekly from one year before the accident up until three years after the accident. Sequence analysis was used to identify patterns (sequences) of SA, and cluster analysis to form clusters of individuals with similar sequences. Odds ratios (ORs) with 95% confidence intervals (CIs) for association of the different factors and cluster memberships were estimated by multinomial logistic regression. RESULTS: In total, 11,432 pedestrians received healthcare due to a traffic-related accident. Eight clusters of SA patterns were identified. The largest cluster was characterized by no SA, three clusters had different SA patterns due to injury diagnoses (immediate, episodic, and later). One cluster had SA both due to injury and other diagnoses. Two clusters had SA due to other diagnoses (short-term and long-term) and one cluster mainly consisted of individuals with disability pension (DP). Compared to the cluster "No SA", all other clusters were associated with older age, no university education, having been hospitalized, and working in health and social care. The clusters "Immediate SA", "Episodic SA" and "Both SA due to injury and other diagnoses" were also associated with higher odds of pedestrians who sustained a fracture. CONCLUSIONS: This nationwide study of the working-aged pedestrians observed diverging patterns of SA after their accident. The largest cluster of pedestrians had no SA, and the other seven clusters had different patterns of SA in terms of diagnosis (injury and other diagnoses) and timing of SA. Differences were found between all clusters regarding sociodemographic and occupational factors. This information can contribute to the understanding of long-term consequences of road traffic accidents.
|
|