Background To our knowledge this is the first published estimate of the charges of the care of burns in Sweden. The Linköping Burn Interventional Score has been used to calculate the charges for each burned patient since 1993. The treatment of burns is versatile, and depends on the depth and extension of the burn. This requires a flexible system to detect the actual differences in the care provided. We aimed to describe the model of burn care that we used to calculate the charges incurred during the acute phase until discharge, so it could be reproduced and applied in other burn centres, which would facilitate a future objective comparison of the expenses in burn care. Methods All patients admitted with burns during the period 2010–15 were included. We analysed clinical and economic data from the daily burn scores during the acute phase of the burn until discharge from the burn centre. Results Total median charge/patient was US$ 28 199 (10th–90th centiles 4668-197 781) for 696 patients admitted. Burns caused by hot objects and electricity resulted in the highest charges/TBSA%, while charges/day were similar for the different causes of injury. Flame burns resulted in the highest mean charges/admission, probably because they had the longest duration of stay. Mean charges/patient increased in a linear fashion among the different age groups. Conclusion Our intervention-based estimate of charges has proved to be a valid tool that is sensitive to the procedures that drive the costs of the care of burns such as large TBSA%, intensive care, and operations. The burn score system could be reproduced easily in other burn centres worldwide and facilitate the comparison regardless of the differences in the currency and the economic circumstances.

Background

Disparity between medical treatment for men and women has been recorded worldwide. However, it is difficult to find out if the disparities in both the use of resources and outcome depend entirely on sex-related discrimination. Our aim was to investigate if there are differences in burn treatments between the sexes.

Methods

All patients admitted with burns to Linköping University Hospital during the 16-year period 2000–2015 were included. Interventions were prospectively recorded using the validated Burn SCoring system (BSC). Data were analysed using a multivariable panel regression model adjusted for age, percentage total body surface area (%TBSA), and in-hospital mortality.

Results

A total of 1363 patients were included, who generated a total of 22,301 daily recordings while they were inpatients. Males were 70% (930/1363). Sex was not an independent factor for daily scores after adjustment for age, %TBSA, and mortality in hospital (model R2=0.60, p < 0.001).

Conclusion

We found no evidence of inequity between the sexes in treatments given in our burn centre when we had adjusted for size of burn, age, and mortality. BSC seems to be an appropriate model in which to evaluate sex-related differences in the delivery of treatments.

AIM: This study described the basic characteristics of children aged 0-16 years who were treated in intensive care units (ICUs) and paediatric ICUs (PICUs), compared their outcomes and examined any causes of death.

METHODS: This was a retrospective cohort study of admissions to 74 ICUs and three PICUs in Sweden that were recorded in the Swedish Intensive Care Registry from January 1, 2008 to December 31, 2012.

RESULTS: We retrieved data on 12 756 children who were admitted 17 003 times. The case mix differed between the ICUs, which were mainly admissions for injuries, accidents and observation, and PICUs, which were mainly admissions for malformations, genetic abnormalities and respiratory problems (p < 0.001). The median stays in the ICUs and PICUs were 1.4 and 3.5 days (p < 0.001), respectively. The respective crude mortality rates were 1.1% and 2.0, and the Paediatric Index of Mortality version 2 standardised mortality ratios were 0.43 and 0.50. None of these differences were significant. Most deaths were within 24 hours: About 57% in the ICUs, mainly from brain anomalies, and 13% in the PICUs, mainly from circulatory problems.

CONCLUSION: Sweden had a low mortality rate in both ICUs and PICUs and the children admitted to these two types of unit differed.

BACKGROUND: Injury is an important cause of death in all age groups worldwide, and contributes to many losses of human and economic resources. Currently, we know a few data about mortality from injury, particularly among the working population. The aim of the present study was to examine death from injury over a period of 14 years (1999-2012) using the Swedish Cause of Death Registry (CDR) and the National Patient Registry, which have complete national coverage.

METHOD: CDR was used to identify injury-related deaths among adults (18 years or over) during the years 1999-2012. ICD-10 diagnoses from V01 to X39 were included. The significance of changes over time was analyzed by linear regression.

RESULTS: The incidence of prehospital death decreased significantly (coefficient -0.22, r (2) = 0.30; p = 0.041) during the study period, while that of deaths in hospital increased significantly (coefficient 0.20, r (2) = 0.75; p < 0.001). Mortality/100,000 person-years in the working age group (18-64 years) decreased significantly (coefficient -0.40, r (2) = 0.37; p = 0.020), mainly as a result of decrease in traffic-related deaths (coefficient -0.34, r (2) = 0.85; p < 0.001). The incidence of deaths from injury among elderly (65 years and older) patients increased because of the increase in falls (coefficient 1.71, r (2) = 0.84; p < 0.001) and poisoning (coefficient 0.13, r (2) = 0.69; p < 0.001).

CONCLUSION: The epidemiology of injury in Sweden has changed during recent years in that mortality from injury has declined in the working age group and increased among those people 64 years old and over.

Background: The interpretation of changes in injury-related mortality over time requires an understanding of changes in the incidence of the various types of injury, and adjustment for their severity. Our aim was to investigate changes over time in incidence of hospital admission for injuries caused by falls, traffic incidents, or assaults, and to assess the risk-adjusted short-term mortality for these patients.less thanbr /greater thanMethods: All patients admitted to hospital with injuries caused by falls, traffic incidents, or assaults during the years 2001-11 in Sweden were identified from the nationwide population-based Patient Registry. The trend in mortality over time for each cause of injury was adjusted for age, sex, comorbidity and severity of injury as classified from the International Classification of diseases, version 10 Injury Severity Score (ICISS).less thanbr /greater thanResults: Both the incidence of fall (689 to 636/100000 inhabitants: p = 0.047, coefficient - 4.71) and traffic related injuries (169 to 123/100000 inhabitants: p less than 0.0001, coefficient - 5.37) decreased over time while incidence of assault related injuries remained essentially unchanged during the study period. There was an overall decrease in risk-adjusted 30-day mortality in all three groups (OR 1.00; CI95% 0.99-1.00). Decreases in traffic (OR 0.95; 95% CI 0.93 to 0.97) and assault (OR 0.93; 95% CI 0.87 to 0.99) related injuries was significant whereas falls were not during this 11-year period.less thanbr /greater thanDiscussion: Risk-adjustment is a good way to use big materials to find epidemiological changes. However after adjusting for age, year, sex and risk we find that a possible factor is left in the pre- and/or in-hospital care.less thanbr /greater thanConclusions: The decrease in risk-adjusted mortality may suggest changes over time in pre- and/or in-hospital care. A non-significantdecrease in risk-adjusted mortality was registered for falls, which may indicate that low-energy trauma has not benefited for the increased survivability as much as high-energy trauma, ie traffic- and assault related injuries.

The Linköping burn score has been used for two decades to calculate the cost to the hospital of each burned patient. Our aim was to validate the Burn Score in a dedicated Burn Centre by analysing the associations with burn-specific factors: percentage of total body surface area burned (TBSA%), cause of injury, patients referred from other (non-specialist) centres, and survival, to find out which of these factors resulted in higher scores. Our second aim was to analyse the variation in scores of each category of care (surveillance, respiration, circulation, wound care, mobilisation, laboratory tests, infusions, and operation).

We made a retrospective analysis of all burned patients admitted during the period 2000–15. Multivariable regression models were used to analyse predictive factors for an increased daily burn score, the cumulative burn score (the sum of the daily burn scores for each patient) and the total burn score (total sum of burn scores for the whole group throughout the study period) in addition to sub-analysis of the different categories of care that make up the burn score.

We retrieved 22 301 daily recordings for inpatients. Mobilisation and care of the wound accounted for more than half of the total burn score during the study. Increased TBSA% and age over 45 years were associated with increased cumulative (model R² 0.43, p < 0.001) and daily (model R² 0.61, p < 0.001) burn scores. Patients who died had higher daily burn scores, while the cumulative burn score decreased with shorter duration of hospital stay (p < 0.001).

To our knowledge this is the first long term analysis and validation of a system for scoring burn interventions in patients with burns that explores its association with the factors important for outcome. Calculations of costs are based on the score, and it provides an indicator of the nurses’ workload. It also gives important information about the different dimensions of the care provided from thorough investigation of the scores for each category.

Patients and Methods: Surgically managed burn patients admitted between 2010-14 were included. Operative stay was defined as the time from admission until the last operation, postoperative stay as the time from the last operation until discharge. The difference in variation was analysed with F-test. A retrospective review of medical records was done to explore reasons for extended postoperative stay. Multivariable regression was used to assess factors associated with operative stay and postoperative stay.less thanbr /greater thanResults: Operative stay/TBSA% showed less variation than total duration/TBSA% (F test = 2.38, pless than0.01). The size of the burn, and the number of operations, were the independent factors that influenced operative stay (R2 0.65). Except for the size of the burn other factors were associated with duration of postoperative stay: wound related, psychological and other medical causes, advanced medical support, and accommodation arrangements before discharge, of which the two last were the most important with an increase of (mean) 12 and 17 days (pless than0.001, R2 0.51).less thanbr /greater thanConclusion: Adjusted operative stay showed less variation than total hospital stay and thus can be considered a more accurate outcome measure for surgically managed burns. The size of burn and number of operations are the factors affecting this outcome measure.

Abstract The aim of this study was to find out whether the charging costs (calculated using interventional burn score) increased as mortality decreased. During the last 2 decades, mortality has declined significantly in the Linköping Burn Centre. The burn score that we use has been validated as a measure of workload and is used to calculate the charging costs of each burned patient. We compared the charging costs and mortality in 2 time periods (2000–2007 and 2008–2015). A total of 1363 admissions were included. We investigated the change in the burn score, as a surrogate for total costs per patient. Multivariable regression was used to analyze risk-adjusted mortality and burn score. The median total body surface area % (TBSA%) was 6.5% (10–90 centile 1.0–31.0), age 33 years (1.3–72.2), duration of stay/ TBSA% was 1.4 days (0.3–5.3), and 960 (70%) were males. Crude mortality declined from 7.5% in 2000–2007 to 3.4% in 2008–2015, whereas the cumulative burn score was not increased (P=.08). Regression analysis showed that risk-adjusted mortality decreased (odds ratio 0.42, P=.02), whereas the adjusted burn score did not change (P=.14, model R2 0.86). Mortality decreased but there was no increase in the daily use of resources as measured by the interventional burn score. The data suggest that the improvements in quality obtained have been achieved within present routines for care of patients (multidisciplinary/ orientated to patients’ safety).

Abbreviation: TBSA% = total body surface area %.

Standardised Mortality Ratio (SMR) based on generic mortality predicting models is an established quality indicator in critical care. Burn-specific mortality models are preferred for the comparison among patients with burns as their predictive value is better. The aim was to assess whether the sum of age (years) and percentage total body surface area burned (which constitutes the Baux score) is acceptable in comparison to other more complex models, and to find out if data collected from a separate burn centre are sufficient for SMR based quality assessment. The predictive value of nine burn-specific models was tested by comparing values from the area under the receiver-operating characteristic curve (AUC) and a non-inferiority analysis using 1% as the limit (delta). SMR was analysed by comparing data from seven reference sources, including the North American National Burn Repository (NBR), with the observed mortality (years 1993-2012, n = 1613, 80 deaths). The AUC values ranged between 0.934 and 0.976. The AUC 0.970 (95% CI 0.96-0.98) for the Baux score was non-inferior to the other models. SMR was 0.52 (95% CI 0.28-0.88) for the most recent five-year period compared with NBR based data. The analysis suggests that SMR based on the Baux score is eligible as an indicator of quality for setting standards of mortality in burn care. More advanced modelling only marginally improves the predictive value. The SMR can detect mortality differences in data from a single centre. (C) 2015 Elsevier Ltd and ISBI. All rights reserved.