300 research outputs found

    Patients Referred to a Norwegian Trauma Centre: effect of transfer distance on injury patterns, use of resources and outcomes

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    Background Triage and interhospital transfer are central to trauma systems. Few studies have addressed transferred trauma patients. This study investigated transfers of variable distances to OUH (Oslo University Hospital, Ullevål), one of the largest trauma centres in Europe. Methods Patients included in the OUH trauma registry from 2001 to 2008 were included in the study. Demographic, injury, management and outcome data were abstracted. Patients were grouped according to transfer distance: ≤20 km, 21-100 km and > 100 km. Results Of the 7.353 included patients, 5.803 were admitted directly, and 1.550 were transferred. The number of transfers per year increased, and there was no reduction in injury severity during the study period. Seventy-six per cent of the transferred patients were severely injured. With greater transfer distances, injury severity increased, and there were larger proportions of traffic injuries, polytrauma and hypotensive patients. With shorter distances, patients were older, and head injuries and injuries after falls were more common. The shorter transfers less often activated the trauma team: ≤20 km -34%; 21-100 km -51%; > 100 km -61%, compared to 92% of all directly admitted patients. The mortality for all transferred patients was 11%, but was unequally distributed according to transfer distance. Conclusion This study shows heterogeneous characteristics and high injury severity among interhospital transfers. The rate of trauma team assessment was low and should be further examined. The mortality differences should be interpreted with caution as patients were in different phases of management. The descriptive characteristics outlined may be employed in the development of triage protocols and transfer guidelines

    Injury in China: a systematic review of injury surveillance studies conducted in Chinese hospital emergency departments

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    <p>Abstract</p> <p>Background</p> <p>Injuries represent a significant and growing public health concern in China. This <it>Review </it>was conducted to document the characteristics of injured patients presenting to the emergency department of Chinese hospitals and to assess of the nature of information collected and reported in published surveillance studies.</p> <p>Methods</p> <p>A systematic search of MEDLINE and China Academic Journals supplemented with a hand search of journals was performed. Studies published in the period 1997 to 2007 were included and research published in Chinese was the focus. Search terms included emergency, injury, medical care.</p> <p>Results</p> <p>Of the 268 studies identified, 13 were injury surveillance studies set in the emergency department. Nine were collaborative studies of which eight were prospective studies. Of the five single centre studies only one was of a prospective design. Transport, falls and industrial injuries were common mechanisms of injury. Study strengths were large patient sample sizes and for the collaborative studies a large number of participating hospitals. There was however limited use of internationally recognised injury classification and severity coding indices.</p> <p>Conclusion</p> <p>Despite the limited number of studies identified, the scope of each highlights the willingness and the capacity to conduct surveillance studies in the emergency department. This <it>Review </it>highlights the need for the adoption of standardized injury coding indices in the collection and reporting of patient health data. While high level injury surveillance systems focus on population-based priority setting, this <it>Review </it>demonstrates the need to establish an internationally comparable trauma registry that would permit monitoring of the trauma system and would by extension facilitate the optimal care of the injured patient through the development of informed quality assurance programs and the implementation of evidence-based health policy.</p

    Bayesian averaging over decision tree models: an application for estimating uncertainty in trauma severity scoring

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    Introduction For making reliable decisions, practitioners need to estimate uncertainties that exist in data and decision models. In this paper we analyse uncertainties of predicting survival probability for patients in trauma care. The existing prediction methodology employs logistic regression modelling of Trauma and Injury Severity Score(external) (TRISS), which is based on theoretical assumptions. These assumptions limit the capability of TRISS methodology to provide accurate and reliable predictions. Methods We adopt the methodology of Bayesian model averaging and show how this methodology can be applied to decision trees in order to provide practitioners with new insights into the uncertainty. The proposed method has been validated on a large set of 447,176 cases registered in the US National Trauma Data Bank in terms of discrimination ability evaluated with receiver operating characteristic (ROC) and precision–recall (PRC) curves. Results Areas under curves were improved for ROC from 0.951 to 0.956 (p = 3.89 × 10−18) and for PRC from 0.564 to 0.605 (p = 3.89 × 10−18). The new model has significantly better calibration in terms of the Hosmer–Lemeshow Hˆ" role="presentation"> statistic, showing an improvement from 223.14 (the standard method) to 11.59 (p = 2.31 × 10−18). Conclusion The proposed Bayesian method is capable of improving the accuracy and reliability of survival prediction. The new method has been made available for evaluation purposes as a web application

    Is quality of colorectal cancer care good enough? Core measures development and its application for comparing hospitals in Taiwan

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    <p>Abstract</p> <p>Background</p> <p>Although performance measurement for assessing care quality is an emerging area, a system for measuring the quality of cancer care at the hospital level has not been well developed. The purpose of this study was to develop organization-based core measures for colorectal cancer patient care and apply these measures to compare hospital performance.</p> <p>Methods</p> <p>The development of core measures for colorectal cancer has undergone three stages including a modified Delphi method. The study sample originated from 2004 data in the Taiwan Cancer Database, a national cancer data registry. Eighteen hospitals and 5585 newly diagnosed colorectal cancer patients were enrolled in this study. We used indicator-based and case-based approaches to examine adherences simultaneously.</p> <p>Results</p> <p>The final core measure set included seventeen indicators (1 pre-treatment, 11 treatment-related and 5 monitoring-related). There were data available for ten indicators. Indicator-based adherence possesses more meaningful application than case-based adherence for hospital comparisons. Mean adherence was 85.8% (79.8% to 91%) for indicator-based and 82.8% (77.6% to 88.9%) for case-based approaches. Hospitals performed well (>90%) for five out of eleven indicators. Still, the performance across hospitals varied for many indicators. The best and poorest system performance was reflected in indicators T5-negative surgical margin (99.3%, 97.2% - 100.0%) and T7-lymph nodes harvest more than twelve(62.7%, 27.6% - 92.2%), both of which related to surgical specimens.</p> <p>Conclusions</p> <p>In this nationwide study, quality of colorectal cancer care still shows room for improvement. These preliminary results indicate that core measures for cancer can be developed systematically and applied for internal quality improvement.</p

    Patients with pelvic fractures due to falls: A paradigm that contributed to autopsy-based audit of trauma in Greece

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    Meta-analysis of operative experiences of general surgery trainees during training

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    BACKGROUND: General surgical training curricula around the world set defined operative numbers to be achieved before completion of training. However, there are few studies reporting total operative experience in training. This systematic review aimed to quantify the published global operative experience at completion of training in general surgery. METHODS: Electronic databases were searched systematically for articles in any language relating to operative experience in trainees completing postgraduate general surgical training. Two reviewers independently assessed citations for inclusion using agreed criteria. Studies were assessed for quantitative data in addition to study design and purpose. A meta-analysis was performed using a random-effects model of studies with appropriate data. RESULTS: The search resulted in 1979 titles for review. Of these, 24 studies were eligible for inclusion in the review and data from five studies were used in the meta-analysis. Studies with published data of operative experience at completion of surgical training originated from the USA (19), UK (2), the Netherlands (1), Spain (1) and Thailand (1). Mean total operative experience in training varied from 783 procedures in Thailand to 1915 in the UK. Meta-analysis produced a mean pooled estimate of 1366 (95 per cent c.i. 1026 to 1707) procedures per trainee at completion of training. There was marked heterogeneity between studies (I2 = 99.6 per cent). CONCLUSION: There is a lack of robust data describing the operative experiences of general surgical trainees outside the USA. The number of surgical procedures performed by general surgeons in training varies considerably across the world

    End of the spectacular decrease in fall-related mortality rate: Men are catching up

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    Objectives: We determined time trends in numbers and rates of fall-related mortality in an aging population, for men and women. Methods. We performed secular trend analysis of fall-related deaths in the older Dutch population (persons aged 65 years or older) from 1969 to 2008, using the national Official-Cause-of-Death-Statistics. Results. Between 1969 and 2008, the age-adjusted fall-related mortality rate decreased from 202.1 to 66.7 per 100 000 older persons (decrease of 67%). However, the annual percentage change (change per year) in mortality rates was not constant, and could be divided into 3 phases: (1) a rapid decrease until the mid-1980s (men -4.1%; 95% confidence interval [CI] = -4.9, -3.2; women -6.5%; 95% CI, -7.1, -5.9), (2) flattening of the decrease until the mid-1990s (men -1.4%; 95% CI = -2.4, -0.4; women -2.0%; 95% CI = -3.4, -0.6), and (3) stable mortality rates for women (0.0%; 95% CI = -1.2, 1.3) and rising rates for men (1.9%; 95% CI = 0.6, 3.2) over the last decade. Conclusions. The spectacular decrease in fall-related mortality ended in the mid-1990s and is currently increasing in older men at

    Trauma networks: present and future challenges

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    In England, trauma is the leading cause of death across all age groups, with over 16,000 deaths per year. Major trauma implies the presence of multiple, serious injuries that could result in death or serious disability. Successive reports have documented the fact that the current ad hoc unstructured management of this patient group is associated with considerable avoidable death and disability. The reform of trauma care in England, especially of the severely injured patient, has already begun. Strong clinical leadership is embraced as the way forward. The present article summarises the steps that have been made over the last decade that led to the recent decision to move towards a long anticipated restructure of the National Health Service (NHS) trauma services with the introduction of Regional Trauma Networks (RTNs). While, for the first time, a genuine political will and support exists, the changes required to maintain the momentum for the implementation of the RTNs needs to be marshalled against arguments, myths and perceptions from the past. Such an approach may reverse the disinterest attitude of many, and will gradually evolve into a cultural shift of the public, clinicians and policymakers in the fullness of time

    Bayesian averaging over Decision Tree models for trauma severity scoring

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    Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the “gold” standard of screening a patient's conditions for predicting survival probability, based on logistic regression modelling, which is used in trauma care for clinical purposes and quality audit. This methodology is based on theoretical assumptions about data and uncertainties. Models induced within such an approach have exposed a number of problems, providing unexplained fluctuation of predicted survival and low accuracy of estimating uncertainty intervals within which predictions are made. Bayesian method, which in theory is capable of providing accurate predictions and uncertainty estimates, has been adopted in our study using Decision Tree models. Our approach has been tested on a large set of patients registered in the US National Trauma Data Bank and has outperformed the standard method in terms of prediction accuracy, thereby providing practitioners with accurate estimates of the predictive posterior densities of interest that are required for making risk-aware decisions
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