scholarly journals Development and validation of a risk-adjustment model for mortality and hospital length of stay for trauma patients: a prospective registry-based study in Australia

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e050795
Author(s):  
Arul Earnest ◽  
Cameron Palmer ◽  
Gerard O'Reilly ◽  
Maxine Burrell ◽  
Emily McKie ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Risk Adjustment ◽  
Motor Vehicle ◽  
Cubic Splines ◽  
Hospital Length Of Stay ◽  
Sensitivity Analyses ◽  
Predictor Variables ◽  
Trauma Patients ◽  
Adjustment Model ◽  
Risk Adjustment Model

ObjectivesAdequate risk adjustment for factors beyond the control of the healthcare system contributes to the process of transparent and equitable benchmarking of trauma outcomes. Current risk adjustment models are not optimal in terms of the number and nature of predictor variables included in the model and the treatment of missing data. We propose a statistically robust and parsimonious risk adjustment model for the purpose of benchmarking.SettingThis study analysed data from the multicentre Australia New Zealand Trauma Registry from 1 July 2016 to 30 June 2018 consisting of 31 trauma centres.Outcome measuresThe primary endpoints were inpatient mortality and length of hospital stay. Firth logistic regression and robust linear regression models were used to study the endpoints, respectively. Restricted cubic splines were used to model non-linear relationships with age. Model validation was performed on a subset of the dataset.ResultsOf the 9509 patients in the model development cohort, 72% were male and approximately half (51%) aged over 50 years . For mortality, cubic splines in age, injury cause, arrival Glasgow Coma Scale motor score, highest and second-highest Abbreviated Injury Scale scores and shock index were significant predictors. The model performed well in the validation sample with an area under the curve of 0.93. For length of stay, the identified predictor variables were similar. Compared with low falls, motor vehicle occupants stayed on average 2.6 days longer (95% CI: 2.0 to 3.1), p<0.001. Sensitivity analyses did not demonstrate any marked differences in the performance of the models.ConclusionOur risk adjustment model of six variables is efficient and can be reliably collected from registries to enhance the process of benchmarking.

scholarly journals Adjusting Client-Level Risks Impacts on Home Care Organization Ranking

2021 ◽  
Vol 18 (11) ◽  
pp. 5502
Author(s):  
Aylin Wagner ◽  
René Schaffert ◽  
Julia Dratva
Keyword(s):  
Risk Factors ◽  
Home Care ◽  
Risk Adjustment ◽  
Care Quality ◽  
Assessment Instrument ◽  
Care Organization ◽  
Discrimination Power ◽  
Adjustment Model ◽  
Risk Adjustment Model ◽  
The Impact

Quality indicators (QIs) based on the Resident Assessment Instrument-Home Care (RAI-HC) offer the opportunity to assess home care quality and compare home care organizations’ (HCOs) performance. For fair comparisons, providers’ QI rates must be risk-adjusted to control for different case-mix. The study’s objectives were to develop a risk adjustment model for worsening or onset of urinary incontinence (UI), measured with the RAI-HC QI bladder incontinence, using the database HomeCareData and to assess the impact of risk adjustment on quality rankings of HCOs. Risk factors of UI were identified in the scientific literature, and multivariable logistic regression was used to develop the risk adjustment model. The observed and risk-adjusted QI rates were calculated on organization level, uncertainty addressed by nonparametric bootstrapping. The differences between observed and risk-adjusted QI rates were graphically assessed with a Bland-Altman plot and the impact of risk adjustment examined by HCOs tertile ranking changes. 12,652 clients from 76 Swiss HCOs aged 18 years and older receiving home care between 1 January 2017, and 31 December 2018, were included. Eight risk factors were significantly associated with worsening or onset of UI: older age, female sex, obesity, impairment in cognition, impairment in hygiene, impairment in bathing, unsteady gait, and hospitalization. The adjustment model showed fair discrimination power and had a considerable effect on tertile ranking: 14 (20%) of 70 HCOs shifted to another tertile after risk adjustment. The study showed the importance of risk adjustment for fair comparisons of the quality of UI care between HCOs in Switzerland.

Abstract 11372: A Risk-Adjustment Model for Patients Presenting to Hospitals with Out-of-Hospital Cardiac Arrest and ST-Elevation Myocardial Infarction

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Andy T Tran ◽  
Anthony Hart ◽  
John Spertus ◽  
Philip Jones ◽  
Bryan McNally ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Hospital Mortality ◽  
Risk Adjustment ◽  
Quality Measures ◽  
Coronary Intervention ◽  
Spontaneous Circulation ◽  
Logistic Regression Models ◽  
Adjustment Model ◽  
Risk Adjustment Model ◽  
Hospital Cardiac Arrest

Background: Given the diversity of patients resuscitated from out-of-hospital cardiac arrest (OHCA) complicated by STEMI, adequate risk adjustment is needed to account for potential differences in case-mix to reflect the quality of percutaneous coronary intervention. Objectives: We sought to build a risk-adjustment model of in-hospital mortality outcomes for patients with OHCA and STEMI requiring emergent angiography. Methods: Within the Cardiac Arrest Registry to Enhance Survival, we included adult patients with OHCA and STEMI who underwent angiography within 2 hours from January 2013 to December 2019. Using pre-hospital patient and arrest characteristics, multivariable logistic regression models were developed for in-hospital mortality. We then described model calibration, discrimination, and variability in patients’ unadjusted and adjusted mortality rates. Results: Of 2,999 hospitalized patients with OHCA and STEMI who underwent emergent angiography (mean age 61.2 ±12.0, 23.1% female, 64.6% white), 996 (33.2%) died. The final risk-adjustment model for mortality included higher age, unwitnessed arrest, non-shockable rhythms, not having sustained return of spontaneous circulation upon hospital arrival, and higher total resuscitation time on scene ( C -statistic, 0.804 with excellent calibration). The risk-adjusted proportion of patients died varied substantially and ranged from 7.8% at the 10 th percentile to 74.5% at the 90 th percentile (Figure). Conclusions: Through leveraging data from a large, multi-site registry of OHCA patients, we identified several key factors for better risk-adjustment for mortality-based quality measures. We found that STEMI patients with OHCA have highly variable mortality risk and should not be considered as a single category in public reporting. These findings can lay the foundation to build quality measures to further optimize care for the patient with OHCA and STEMI.

scholarly journals Does emergency medicine length of stay predict trauma outcomes at a Level 1 Trauma Center?

2015 ◽  
Vol 4 (5) ◽  
pp. 1 ◽  
Author(s):  
Erin Powers Kinney ◽  
Kamal Gursahani ◽  
Eric Armbrecht ◽  
Preeti Dalawari
Keyword(s):  
Length Of Stay ◽  
Trauma Center ◽  
Injury Severity ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Trauma Patients ◽  
Hospital Capacity ◽  
Significant Difference ◽  
Level 1 ◽  
Level 1 Trauma Center

Objective: Previous studies looking at emergency department (ED) crowding and delays of care on outcome measures for certain medical and surgical patients excluded trauma patients. The objectives of this study were to assess the relationship of trauma patients’ ED length of stay (EDLOS) on hospital length of stay (HLOS) and on mortality; and to examine the association of ED and hospital capacity on EDLOS.Methods: This was a retrospective database review of Level 1 and 2 trauma patients at a single site Level 1 Trauma Center in the Midwest over a one year period. Out of a sample of 1,492, there were 1,207 patients in the analysis after exclusions. The main outcome was the difference in hospital mortality by EDLOS group (short was less than 4 hours vs. long, greater than 4 hours). HLOS was compared by EDLOS group, stratified by Trauma Injury Severity Score (TRISS) category (< 0.5, 0.51-0.89, > 0.9) to describe the association between ED and hospital capacity on EDLOS.Results: There was no significant difference in mortality by EDLOS (4.8% short and 4% long, p = .5). There was no significant difference in HLOS between EDLOS, when adjusted for TRISS. ED census did not affect EDLOS (p = .59), however; EDLOS was longer when the percentage of staffed hospital beds available was lower (p < .001).Conclusions: While hospital overcrowding did increase EDLOS, there was no association between EDLOS and mortality or HLOS in leveled trauma patients at this institution.

scholarly journals The Impact of Selenium Supplementation on Trauma Patients—Systematic Review and Meta-Analysis

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 342
Author(s):  
Jen-Fu Huang ◽  
Chih-Po Hsu ◽  
Chun-Hsiang Ouyang ◽  
Chi-Tung Cheng ◽  
Chia-Cheng Wang ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Meta Analysis ◽  
Infectious Complications ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Current Evidence ◽  
Trauma Patients ◽  
Positive Effects ◽  
Standard Difference ◽  
The Impact

This study aimed to assess current evidence regarding the effect of selenium (Se) supplementation on the prognosis in patients sustaining trauma. MEDLINE, Embase, and Web of Science databases were searched with the following terms: “trace element”, “selenium”, “copper”, “zinc”, “injury”, and “trauma”. Seven studies were included in the meta-analysis. The pooled results showed that Se supplementation was associated with a lower mortality rate (OR 0.733, 95% CI: 0.586, 0.918, p = 0.007; heterogeneity, I2 = 0%). Regarding the incidence of infectious complications, there was no statistically significant benefit after analyzing the four studies (OR 0.942, 95% CI: 0.695, 1.277, p = 0.702; heterogeneity, I2 = 14.343%). The patients with Se supplementation had a reduced ICU length of stay (standard difference in means (SMD): −0.324, 95% CI: −0.382, −0.265, p < 0.001; heterogeneity, I2 = 0%) and lesser hospital length of stay (SMD: −0.243, 95% CI: −0.474, −0.012, p < 0.001; heterogeneity, I2 = 45.496%). Se supplementation after trauma confers positive effects in decreasing the mortality and length of ICU and hospital stay.

Intraabdominal Injury is Common in Blunt Trauma Patients who Sustain Spinal Cord Injury

2007 ◽  
Vol 73 (10) ◽  
pp. 1035-1038
Author(s):  
Ali Salim ◽  
Marcus Ottochian ◽  
Ryan J. Gertz ◽  
Carlos Brown ◽  
Kenji Inaba ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Length Of Stay ◽  
Blunt Trauma ◽  
Injury Severity ◽  
Unit Length ◽  
Hospital Length Of Stay ◽  
Trauma Patients ◽  
Cord Injury ◽  
Intraabdominal Injury

The evaluation of the abdomen in patients with spinal cord injury (SCI) is challenging for obvious reasons. There are very little data on the incidence and complications of patients who sustain SCI with concomitant intraabdominal injury (IAI). To determine the incidence and outcomes of IAI in blunt trauma patients with SCI, a trauma registry and record review was performed between January 1998 and December 2005. Baseline demographic data, Injury Severity Score, and associated IAI were collected. Two groups were established and outcomes were analyzed based on the presence or absence of IAI. Intraabdominal and hollow viscus injures were found in 15 per cent and 6 per cent, respectively, of 292 patients with blunt SCI. The presence of intraabdominal injury varied according to the level of the SCI: 10 per cent of cervical, 23 per cent of thoracic, and 18 per cent of lumbar SCI. The overall mortality was 16 per cent. The presence of intraabdominal injury was associated with longer intensive care unit length of stay (13 versus 6 days, P < 0.01), hospital length of stay (23 versus 18 days, P < 0.05), higher complication rate (46% versus 33%, P = 0.09), and higher mortality (44% versus 11%, P < 0.01) when compared with patients with SCI without IAI. Intraabdominal injuries are common in blunt SCI. Liberal evaluation with computed tomography is necessary to identify injuries early.

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