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      Association of Trauma Alert Response Charges With Volume and Hospital Ownership Type in Florida

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          Abstract

          Objective:

          The purpose was to analyze the association of trauma volume and hospital trauma center (TC) ownership type with trauma alert (TA) response charges, which are billed for activation of the trauma team to the emergency department (ED).

          Methods:

          All Florida ED and inpatients who were billed a TA charge from 2012 to 2014 were included (62 974 observations). Multiple linear regression, controlling for patient and hospital factors, was used to identify associations between TA charges and trauma volume and hospital ownership type. Severity elasticity of trauma response charges was calculated by ownership type.

          Results:

          Trauma volume had a significant, inverse relationship with TA charges. For-profit (FP) hospitals had significantly higher TA charges and government-owned hospitals had significantly lower TA charges relative to private not-for-profits. For-profit trauma response charges were inelastic to severity, that is, charges did not change with changes in severity.

          Conclusion:

          Higher TA charges were associated with lower patient volumes, as well as at FP TCs. Further, only FP TCs used alert charges that were not associated with injury severity. Adding new TCs that reduce volume at existing TCs is expected to increase TA charges, especially if they are FP TCs.

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          Most cited references21

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          Relationship between trauma center volume and outcomes.

          The premise underlying regionalization of trauma care is that larger volumes of trauma patients cared for in fewer institutions will lead to improved outcomes. However, whether a relationship exists between institutional volume and trauma outcomes remains unknown. To evaluate the association between trauma center volume and outcomes of trauma patients. Retrospective cohort study. Thirty-one academic level I or level II trauma centers across the United States participating in the University Healthsystem Consortium Trauma Benchmarking Study. Consecutive patients with penetrating abdominal injury (PAI; n = 478) discharged between November 1, 1997, and July 31, 1998, or with multisystem blunt trauma (minimum of head injury and lower-extremity long-bone fractures; n = 541) discharged between June 1 and December 31, 1998. Inpatient mortality and hospital length of stay (LOS), comparing high-volume (>650 trauma admissions/y) and low-volume (
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            ICISS: an international classification of disease-9 based injury severity score.

            The Injury Severity Score (ISS) has served as the standard summary measure of human trauma for 20 years. Despite its stalwart service, the ISS has two weaknesses: it relies upon the consensus derived severity estimates for each Abbreviated Injury Scale (AIS) injury and considers, at most, only three of an individual patient's injuries, three injuries that often are not even the patient's most severe injuries. Additionally, the ISS requires that all patients have their injuries described in the AIS lexicon, an expensive step that is currently taken only at hospitals with a zealous commitment to trauma care. We hypothesized that a data driven alternative to ISS that used empirically derived injury severities and considered all of an individual patient's injuries would more accurately predict survival. Survival risk ratios were derived for every International Classification of Disease 9th Edition (ICD-9) injury category (800-959.9) using the North Carolina State Discharge Database experience with 300,000 trauma patients over 5 years. An ICD-9 Injury Severity Score (ICISS) was then defined as the product of all survival risk ratios for an individual patient's traumatic ICD-9 codes. We compared the performance of ISS and ICISS in a group of 3,142 patients accrued at the University of New Mexico Trauma Center over 4 years. These patients had both AIS and ICD-9 descriptors meticulously assigned prospectively by designated trauma data base personnel. ICISS outperformed ISS at a level that was highly statistically significant (p < 0.0001) and may be clinically important: ISS misclassification rate 7.67%, ISS Receiver Operator Characteristic Curve area = 0.872; ICISS misclassification rate 5.95%, ICISS Receiver Operator Characteristic Curve area = 0.921. Moreover, these improvements are largely preserved when ICISS is used in a probability of survival model that includes age, mechanism, and revised trauma score. About half of ICISS's improvement in predictive power is because of its use of an individual patient's worst three injuries regardless of body region. The remainder is because of better modeling of individual injuries and allowing all injuries to contribute to the final score. We conclude that ICISS is a much better predictor of survival than ISS in injured patients. The use of the ICD-9 lexicon may avoid the need for AIS coding, and thus may add an economic incentive to the statistical appeal of ICISS. It is possible that a similar data driven revision of ISS using the AIS vocabulary might perform as well or better than ICISS. Indeed, the actual lexicon used to divide up the injury "landscape" into individual injuries may be of little consequence so long as all injuries are considered and empirically derived SRRs are used to calculate the final injury measure.
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              Costs, charges, and revenues for hospital diagnostic imaging procedures: differences by modality and hospital characteristics.

              This study examined financial data reported by Florida hospitals concerning costs, charges, and revenues related to imaging services.
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                Author and article information

                Journal
                Health Serv Res Manag Epidemiol
                Health Serv Res Manag Epidemiol
                HME
                sphme
                Health Services Research and Managerial Epidemiology
                SAGE Publications (Sage CA: Los Angeles, CA )
                2333-3928
                12 September 2018
                Jan-Dec 2018
                : 5
                : 2333392818797793
                Affiliations
                [1 ]Department of Health Sciences and Administration, Usha Kundu, MD College of Health, University of West Florida, Pensacola, FL, USA
                [2 ]Department of Health Policy and Management, College of Public Health, University of South Florida, Tampa, FL, USA
                Author notes
                [*]Jessica L. Ryan, University of West Florida, Building 38/Room 114, 11000 University Parkway, Pensacola, FL 32514, USA. Email: jryan@ 123456uwf.edu
                Article
                10.1177_2333392818797793
                10.1177/2333392818797793
                6136107
                30225273
                c3c1247c-7c69-4263-8d57-5ddc154e9faa
                © The Author(s) 2018

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 2 August 2018
                : 2 August 2018
                Categories
                Original Research
                Custom metadata
                January-December 2018

                trauma alert,charge,hospital ownership,volume,injury severity

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