| 1. |
- Lindhe, Andreas, 1981, et al.
(författare)
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Användningen av MACRO-DB i tillståndsärenden och effekter av ny modellversion: Enkätstudie och samhällsekonomisk analys av arbetet med MACRO-DB
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- I syfte att skydda dricksvattentäkter, dvs. yt- och grundvattenresurser, kan användningen av växtskyddsmedel regleras genom att exempelvis ställa krav på tillstånd för yrkesmässig användning inom vattenskyddsområden. Att bedöma när, hur och vilka växtskyddsmedel som kan spridas kan vara komplicerat. För att underlätta arbetet med att både ta fram och handlägga tillståndsärenden finns därför modellverktyget MACRO-DB. Verktyget har utvecklats av SLU Centrum för kemiska bekämpningsmedel i miljön (CKB) och används för att simulera bekämpningsmedelsläckage till yt- och grundvatten och bedöma om risken är acceptabelt låg eller inte. År 2018 gjordes en satsning där både Havs- och vattenmyndigheten (HaV) och CKB gjorde investeringar för att vidareutveckla MACRO-DB. Syftet med analysen som presenteras i denna rapport har varit att utvärdera om satsningen varit samhällsekonomiskt motiverad med hjälp av en kostnads-nyttoanalys (KNA). För att ta fram nödvändigt underlag och ge en bild av dagens arbete med tillståndsärenden för yrkesmässig användning av växtskyddsmedel på jordbruksmark inom vattenskyddsområden har en enkätundersökning genomförts. Enkäten skickades till samtliga svenska kommuner och syftade specifikt till att kartlägga användningen av MACRO-DB. Den genomförda enkätstudien besvarades av 58 % av Sveriges kommuner och bedöms baserat på detta och den geografiska spridningen ge en bra bild av dagens arbete med tillståndsärenden för användning av växtskyddsmedel på jordbruksmark inom vattenskyddsområden och specifikt användningen av MACRO-DB. Av de kommuner som besvarat enkäten är det 71 % som handlägger den aktuella typen av ärenden och av dessa är det 61 % som använder MACRO-DB som del av beslutsunderlaget. En majoritet av kommunerna använder såldes MACRO-DB. Bland de som inte använder MACRO-DB beror det framför allt på att man inte känner verktyget. Endast en mindre andel anser att det är inte rimligt att ställa krav på användning av MACRO-DB i den typ av ärenden de hanterar. Av de kommuner som använder MACRO-DB gör 55 % egna körningar för att kontrollera resultaten som lämnas in med tillståndsansökningarna. En stor andel (44 %) gör i stället granskningar av underlagsmaterial och antaganden. Enligt drygt hälften (53 %) av kommunerna tar dricksvattenproducenten del av uppgifter om vilka växtskyddsmedel som används inom vattenskyddsområden, i syfte att anpassa kontrollen av förekomst av växtskyddsmedelsrester i rå- och dricksvatten. Resultaten från enkäten visar också att majoriteten av kommunerna som använder MACRO-DB (93 %) anser att verktyget fungerar bra (61 %) eller mycket bra (32 %) som hjälpmedel. De förslag som lämnats på hur användningen skulle kunna förbättras innefattar bland annat behov av utbildning och annan stöttning men även behovet av mindre tidskrävande simuleringar. Att reducera simuleringstiden har varit ett av syftena med den uppdatering av MACRO-DB som gjorts och är en av de nyttor som ingår i den genomförda KNA:n. I analysen har fokus varit på följande kostnader och nyttor: (i) investeringarna som HaV och CKB gjort, (ii) tidsvinster som den nya modellversionen ger för kommuner, rådgivare och andra aktörer, (iii) möjliga effekter av en ökad livsmedelproduktion om det blir möjligt att söka tillstånd för spridning av växtskyddsmedel på odlingsmark där det idag råder förbud, och (iv) förlust av miljönyttor som en ökad spridning av växtskyddsmedel kan ge upphov till. Utifrån de antaganden som scenarierna i KNA:n bygger på bedöms nyttorna kunna överstiga kostnaderna, vilket alltså indikerar att satsningen på nya MACRO-DB kan vara samhällsekonomiskt motiverad. Skillnaden mellan nyttor och kostnader är samtidigt inte så betydande att ett annat resultat helt kan uteslutas, det vill säga att kostnaderna skulle kunna överstiga nyttorna. Scenarierna bygger på flera antaganden som är osäkra och de presenterade resultaten över samhällsekonomisk lönsamhet bör därför tolkas med viss försiktighet. Det kan dock konstateras att nyttorna till följd av tidsbesparingar är i samma storleksordning som investeringskostnaderna, vilket innebär att satsningen kan vara samhällsekonomiskt även om endast dessa aspekter beaktas. Osäkerheterna bedöms vara störst i de uppskattade nyttorna av ökad livsmedelsproduktion samt de minskade miljönyttorna. Dessa poster i KNA:n beskriver för- respektive nackdelarna som uppstår om det blir möjligt att söka tillstånd för spridning av växtskyddsmedel på odlingsmark där det idag rådet förbud. Resultaten visar att även dessa nyttor och kostnader är i samma storleksordning. Det kan därför konstateras att såväl möjligheten att bruka marken för livsmedelproduktion som skyddet av yt- och grundvattenresurser är förknippade med stora nyttor. Skyddet av yt- och grundvattenresurserna behöver därför säkerställas samtidigt som åtgärderna inte ska vara onödigt långtgående så att de ger orimliga restriktioner i markanvändningen och i detta fall effekter på livsmedelproduktionen. Verktyg och hjälpmedel som MACRO-DB är därför viktiga för att möjliggöra en rimlig avvägning när risken spridning av växtskyddsmedel kan tillåtas och när det inte är rimligt. I handläggningen av tillståndsärenden och avvägningar om det ska råda förbud eller krav på tillstånd är den inte bara spridningen av växtskyddsmedel som behöver beaktas utan även övriga förutsättningar och risker som hanteringen av växtskyddsmedel är förknippad med.
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| 2. |
- Rizzi, Maria C, et al.
(författare)
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The potential of different countermeasures to prevent injuries with high risk of health loss among bicyclists in Sweden
- 2020
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Ingår i: Traffic Injury Prevention. - : Informa UK Limited. - 1538-9588 .- 1538-957X. ; 21:3, s. 215-221
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Tidskriftsartikel (refereegranskat)abstract
- Objective: As bicyclists account for the largest share of serious injuries in Sweden, focus to improve safety for bicyclists is needed. While knowledge about fatal bicycle crashes is rather extensive, the number of studies that have investigated non-fatal injuries is still rather limited. The aim of this study was to estimate the potential of different countermeasures to reduce crashes resulting in injuries with high risk of health-loss among cyclists in Sweden. A further aim was to describe the residual—that is, crashes that were not considered to be addressed by the analyzed countermeasures. Methods: A sample of individuals with specific injury diagnoses was drawn from the Swedish national crash database Strada. A survey form was used to collect additional information about the crash and the health-related outcomes. The potential of countermeasures currently included in the Swedish Safety Performance Indicators, as well as of countermeasures that could be described as “existing but not fully implemented” was assessed. The overall potential of all countermeasures assessed was calculated, giving a grand total without double counting. Cases that were considered not to be addressed by any of the countermeasures included (i.e., the residual crashes) were described in more detail. Results: The current Swedish Safety Performance Indicators that relate to safe cycling addressed 22% of crashes. Improved maintenance by deicing and removal of snow from bicycle infrastructure was found to have the highest potential (8%), followed by improved crashworthiness of passenger cars (5%) and safer bicycle crossings (4%). The potential for existing but not fully implemented safety improvements was 56%. The greatest potential was found for Autonomous Emergency Braking with cyclist detection for passenger cars (12%), followed by studded winter tyres for bicycles (12%), and improved maintenance on non-bicycle infrastructure (11%). In total, taking double counting into consideration, all safety improvements could address 64% of all crashes. Among the residual crashes, the majority (69%) were single bicycle crashes of which most were related to wheel locking during braking and losing balance at low speed or stationary. Conclusions: Compared with fatal crashes that involve a majority of bicycle-car crashes, the crashes leading to health-loss are mostly single bicycle crashes. Therefore, innovation and development of additional countermeasures to improve safety for bicyclists should focus on single bicycle crashes.
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| 3. |
- Kjeldgård, Linnea, 1985-, et al.
(författare)
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Sequence analysis of sickness absence and disability pension in the year before and the three years following a bicycle crash; a nationwide longitudinal cohort study of 6353 injured individuals
- 2020
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Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 20:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Bicyclists are the road user group with the highest number of severe injuries in the EU, yet little is known about sickness absence (SA) and disability pension (DP) following such injuries. Aims: To explore long-term patterns of SA and DP among injured bicyclists, and to identify characteristics associated with the specific patterns. Methods: A longitudinal register-based study was conducted, including all 6353 individuals aged 18–59 years and living in Sweden in 2009, who in 2010 had incident in-patient or specialized out-patient healthcare after a bicycle crash. Information about sociodemographic factors, the injury, SA (SA spells > 14 days), and DP was obtained from nationwide registers. Weekly SA/DP states over 1 year before through 3 years after the crash date were used in sequence and cluster analyses. Multinomial logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for factors associated with each identified sequence cluster. Results: Seven clusters were identified: “No SA or DP” (58.2% of the cohort), “Low SA or DP” (7.4%), “Immediate SA” (20.3%), “Episodic SA” (5.9%), “Long-term SA” (1.7%), “Ongoing part-time DP” (1.7%), and “Ongoing full-time DP” (4.8%). Compared to the cluster “No SA or DP”, all other clusters had higher ORs for women, and higher age. All clusters but “Low SA and DP” had higher ORs for inpatient healthcare. The cluster “Immediate SA” had a higher OR for: fractures (OR 4.3; CI 3.5–5.2), dislocation (2.8; 2.0–3.9), sprains and strains (2.0; 1.5–2.7), and internal injuries (3.0; 1.3–6.7) compared with external injuries. The cluster “Episodic SA” had higher ORs for: traumatic brain injury, not concussion (4.2; 1.1–16.1), spine and back (4.5; 2.2–9.5), torso (2.5; 1.4–4.3), upper extremities (2.9; 1.9–4.5), and lower extremities (3.5; 2.2–5.5) compared with injuries to the head, face, and neck (not traumatic brain injuries). The cluster “Long-term SA” had higher ORs for collisions with motor vehicles (1.9;1.1–3.2) and traumatic brain injury, not concussion (18.4;2.2–155.2). Conclusion: Sequence analysis enabled exploration of the large heterogeneity of SA and DP following a bicycle crash. More knowledge is needed on how to prevent bicycle crashes and especially those crashes/injuries leading to long-term consequences.
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| 4. |
- Kjeldgård, Linnea, 1985-, et al.
(författare)
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Sickness absence and disability pension among injured working-aged pedestrians - a population-based Swedish register study
- 2021
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Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 21:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: The knowledge is scarce about sickness absence (SA) and disability pension (DP) among pedestrians injured in a traffic-related accident, including falls. Thus, the aim was to explore the frequencies of types of accidents and injuries and their association with SA and DP among working-aged individuals. Methods: A nationwide register-based study, including all individuals aged 16-64 and living in Sweden, who in 2010 had in- or specialized outpatient healthcare after a new traffic-related accident as a pedestrian. Information on age, sex, sociodemographics, SA, DP, type of accident, injury type, and injured body region was used. Frequencies of pedestrians with no SA or DP, with ongoing SA or full-time DP already at the time of the accident, and with a new SA spell >14 days in connection to the accident were analyzed. Crude and adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for new SA were estimated by logistic regression. Results: In total, 5576 pedestrians received healthcare due to a traffic-related accident (of which 75% were falls, with half of the falls related to snow and ice). At the time of the accident, 7.5% were already on SA and 10.8% on full-time DP, while 20% started a new SA spell. The most common types of injuries were fractures (45%) and external injuries (30%). The body region most frequently injured was the lower leg, ankle, foot, and other (in total 26%). Older individuals had a higher OR for new SA compared with younger (OR 1.91; 95% CI 1.44-2.53, for ages: 45-54 vs. 25-34). The injury type with the highest OR for new SA, compared with the reference group external injuries, was fractures (9.58; 7.39-12.43). The injured body region with the highest OR for new SA, compared with the reference group head, face, and neck, was lower leg, ankle, foot, and other (4.52; 2.78-7.36). Conclusions: In this explorative nationwide study of the working-aged pedestrians injured in traffic-related accidents including falls, one fifth started a new SA spell >14 days. Fractures, internal injuries, collisions with motor vehicle, and falls related to snow and ice had the strongest associations with new SA.
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| 5. |
- Kjeldgård, Linnea, 1985-, et al.
(författare)
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Diagnosis-specific sickness absence among injured working-aged pedestrians: a sequence analysis
- 2023
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Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 23:1, s. 367-
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Tidskriftsartikel (refereegranskat)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.
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| 6. |
- Söderberg, Andreas, et al.
(författare)
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Patients’ Experiences of Participation in High-Security, Forensic Psychiatric Care
- 2022
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Ingår i: Issues in Mental Health Nursing. - : Informa UK Limited. - 0161-2840 .- 1096-4673. ; 43:7, s. 683-692
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Tidskriftsartikel (refereegranskat)abstract
- The role of patient participation in forensic psychiatric care is unclear, but has been emphasised as important in recent research. This study aims to describe patients’ lived experiences of participation in high-security, forensic psychiatric settings. Sixteen patient interviews were performed in this phenomenological study and analysed with a Reflective Lifeworld Research approach (RLR). Results show that participation must be understood in relation to its opposite construct, non-participation. Participation can thus be explained as situations where non-participation is less visible. Actions to develop the training of patient-staff interactions for forensic psychiatric staff to promote patient participation are called for.
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| 7. |
- Candefjord, Stefan, 1981, et al.
(författare)
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On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US
- 2021
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Ingår i: Journal of Transport and Health. - : Elsevier BV. - 2214-1405. ; 22
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Tidskriftsartikel (refereegranskat)abstract
- A significant proportion of motor vehicle crash fatalities are potentially preventable with improved acute care. By increasing the accuracy of triage more victims could be transported directly to the best suited care facility and be provided optimal care. We hypothesize that On Scene Injury Severity Prediction (OSISP) algorithms, developed utilizing machine learning methods, have potential to improve triage by complementing the field triage protocol. In this study, the accuracy of OSISP algorithms based on the “National Automotive Sampling System - Crashworthiness Data System” (NASS-CDS) of crashes involving adult occupants for calendar years 2010–2015 was evaluated. Severe injury was the dependent variable, defined as Injury Severity Score (ISS) > 15. The dataset contained 37873 subjects, whereof 21589 included injury data and were further analyzed. Selection of model predictors was based on potential for injury severity prediction and perceived feasibility of assessment by first responders. We excluded vehicle telemetry data due to the limited availability of these systems in the contemporary vehicle fleet, and because this data is not yet being utilized in prehospital care. The machine learning algorithms Logistic Regression, Ridge Regression, Bernoulli Naïve Bayes, Stochastic Gradient Descent and Artificial Neural Networks were evaluated. Best performance with small margin was achieved with Logistic Regression, achieving area under the receiver operator characteristic curve (AUC) of 0.86 (95% confidence interval 0.82–0.90), as estimated by 10-fold stratified cross-validation. Ejection, Entrapment, Belt use, Airbag deployment and Crash type were good predictors. Using only a subset of the 5–7 best predictors approached the prediction accuracy achieved when using the full set (14 predictors). A simplified benefit analysis indicated that nationwide implementation of OSISP in the US could bring improved care for 3100 severely injured patients, and reduce unnecessary use of trauma center resources for 94000 non-severely injured patients, every year.
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| 8. |
- Fagerlind, Helen, 1975, et al.
(författare)
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Identifying individual-based injury patterns in multi-trauma road users by using an association rule mining method
- 2022
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Ingår i: Accident Analysis and Prevention. - : Elsevier BV. - 0001-4575. ; 164
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Tidskriftsartikel (refereegranskat)abstract
- In many road crashes the human body is exposed to high forces, commonly resulting in multiple injuries. This study of linked road crash data aimed to identify co-occurring injuries in multiple injured road users by using a novel application of a data mining technique commonly used in Market Basket Analysis. We expected that some injuries are statistically associated with each other and form Individual-Based Injury Patterns (IBIPs) and further that specific road users are associated with certain IBIPs. First, a new injury taxonomy was developed through a four-step process to allow the use of injury data recorded from either of the two major dictionaries used to document anatomical injury. Then data from the Swedish Traffic Accident Data Acquisition, which includes crash circumstances from the police and injury information from hospitals, was analysed for the years 2011 to 2017. The injury data was analysed using the Apriori algorithm to identify statistical association between injuries (IBIP). Each IBIP were then used as the outcome variable in logistic regression modelling to identify associations between specific road user types and IBIPs. A total of 48,544 individuals were included in the analysis of which 36,480 (75.1%) had a single injury category recorded and 12,064 (24.9%) were considered multiply injured. The data mining analysis identified 77 IBIPs in the multiply injured sample and 16 of these were associated with only one road user type. IBIPs and their relation to road user type are one step on the journey towards developing a tool to better understand and quantify injury severity and thereby improve the evidence-base supporting prioritisation of road safety countermeasures.
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| 9. |
- Lynoe, Niels, et al.
(författare)
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An overview of the scientific controversy regarding the diagnostic accuracy of Shaken baby syndrome
- 2023
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Ingår i: Medicine and Law Journal. - New York : William S. Hein & Co., Inc.. - 0723-1393 .- 2471-836X. ; 42:4, s. 763-780
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Tidskriftsartikel (refereegranskat)abstract
- The process used to diagnose Shaken Baby Syndrome (SBS), a subgroup of Abusive Head Trauma (AHT) without signs of relevant trauma, is not reliable and remains uncertain. There is insufficient scientific evidence for any doctor or medical expert to conclude that if a child has three medical findings, the “triad”, then the infant must have been shaken or abused. All studies showing a ‘strong’ association between the triad and the diagnostic accuracy of the SBS diagnosis rely on circular reasoning., There is insufficient scientific evidence that the isolated triad can predict traumatic shaking, as there is a high risk of bias. There is an ongoing scientific controversy within the area. The aim of the present article is to facilitate a better understanding of this scientific controversy for those who are not themselves medical scientists -, such as lawyers, prosecutors, and judges. The legal and medical consequences of the current scientific controversy is that an incorrect diagnosis may delay the correct diagnosis, harm the infant and its family, and jeopardis e rule of law.
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| 10. |
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