Predictive factors and models for trauma patient disposition

Beaulieu, Ronald; McCarthy, Mary C.; Markert, Ronald J.; Parikh, Pratick J.; Ekeh, Akpofure Peter; Parikh, Priti

doi:10.1016/j.jss.2014.02.032

Cited by 26 publications

(19 citation statements)

References 21 publications

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“…40 In addition, resources must be used effectively and efficiently to promote maximal opportunity for optimal recovery. 46 According to our results, the burden of resource usage falls on the critical care team because ICU length of stay, not hospital length of stay, was affected by injury factors in terms of ISS, GCS scores, and physiological complications regardless of BMI classification. Although only 3% to 5% of beds are located within the ICU, up to 30% of hospital budgets are spent on ICU resources.…”

Section: Discussionmentioning

confidence: 62%

“…Appropriate planning and identification of at-risk populations contribute to reduced cost for patients, hospitals, and health care systems by decreasing ICU and hospital lengths of stay. 46 Length of stay is a useful indicator of resource usage in trauma patients, and because the trauma system is a dynamic one, knowledge of demographic data contributes to the ability to plan resources. 40 In addition, resources must be used effectively and efficiently to promote maximal opportunity for optimal recovery.…”

Section: Discussionmentioning

confidence: 99%

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Association of Injury Factors, Not Body Mass Index, With Hospital Resource Usage in Trauma Patients

Lee

Hervey

Berg

et al. 2016

American Journal of Critical Care

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Background Allocating resources appropriately requires knowing whether obese patients use more resources during a hospital stay than nonobese patients. Objectives To determine if trauma patients with different body mass indexes differed in use of resources measured as a multifaceted outcome variable. Methods A trauma registry was used for a retrospective study of adult patients admitted to a midwestern level I trauma center. Patients were stratified into 3 groups: nonobese (normal weight, overweight), obese, and morbidly obese. Three canonical correlation analyses were used to determine the relationship between patient/injury characteristics and hospital resource usage. Results In a sample of 9771 patients, 71.2% were non-obese, 23.8% obese, and 5.0% morbidly obese. For patient/injury characteristics, Injury Severity Score and physiological complications were significant variables for all 3 groups. Scores on the Glasgow Coma Scale were significant for nonobese patients only. For resource usage, intensive care unit length of stay and procedures were significant variables for all 3 groups. Conclusions Associations between body mass index and outcomes have been noted when assessed as independent variables. However, when resource usage was assessed as a multifaceted outcome variable, injury factors (higher Injury Severity Score, lower scores on the Glasgow Coma Scale, more physiological complications) were associated with resource usage (increased length of stay in the intensive care unit and increased number of procedures). These findings provide clinicians a new perspective for evaluating the complex relationship between patient/injury characteristics and hospital resource usage.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Association of Injury Factors, Not Body Mass Index, With Hospital Resource Usage in Trauma Patients

Lee

Hervey

Berg

et al. 2016

American Journal of Critical Care

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“…Trauma outcomes based on mortality have altered triage applications [27,28], modified treatment algorithms [29‐31], and identified patients who will need long‐term care [32,33]. The value of reducing morbidity and mortality in survivors has been essential for the growth of the trauma system.…”

Section: Introductionmentioning

confidence: 99%

Early Predictors of Functional Outcome After Trauma

Nemunaitis

Roach

Claridge

et al. 2015

PM&R

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“…By 2019, these costs are expected to increase to 6% of the gross national product; an incredible 38% of the total US health-care costs ( 9 ). The annual cost of ICU hospitalization due to prolonged hospital length of stay is 33 billion USD ( 10 ).…”

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confidence: 99%

“…Besides, patients who are at end staged of their lives may benefit from discharging to home and continuing intensive care services at home ( 13 ). The resultant delay in ICU discharge not only artificially increase ICU occupancy rates, LOS, and costs for the patient ( 14 , 15 ), and health-care system but may also impede the admission of new ICU patients, potentially increases the risk of acquiring nosocomial infections, and would postpone the initiation of rehabilitative treatments ( 10 , 16 ).…”

mentioning

confidence: 99%