ABSTRACT
Chiari 1 malformations (CIM) in children can develop into a debilitating disease, however, they usually present with apparently benign symptoms, such as moderate headache and neck pain. Early identification and treatment of this condition can lead to an overall decrease in morbidity and mortality associated with this disease. We are reporting on a child that initially presented with neck pain and no neurological findings.
ABSTRACT
BACKGROUND: As part of a quality improvement initiative to reduce Emergency Department (ED) length of stay (LOS) for surgical consult patients, we e-mailed performance metrics to key stakeholders on a daily basis. ED and Surgery leadership used these daily metrics to identify and remedy contributing factors for increased ED LOS in patients who received surgical consults. OBJECTIVE: To evaluate whether a quality improvement process driven by a daily performance metric e-mail would be associated with a change in ED LOS for surgical consult patients. METHODS: Prospective before-after study looking at ED LOS for surgical consult patients after an e-mail intervention at a tertiary academic teaching hospital. All consecutive adult ED patients between July 1, 2010 and October 1, 2010 who received a general surgical consult were enrolled. The primary outcome measure was ED LOS, and secondary outcome measure was time to consultation. RESULTS: There were 916 patients who had surgical consults placed during the study period; 459 patients presented before the intervention and 457 patients presented after the intervention. The median LOS decreased 54 min, from 463 min (interquartile range [IQR] 326-617) before the intervention to 409 min (IQR 294.5-528.5) after the intervention (p < 0.001). Time to consultation decreased 25 min, from a median of 160 min (IQR 87-265) to 135 min (IQR 70-239.5) (p = 0.002). There was no difference in age, severity, number of consults, or disposition. There was also no difference in median LOS for other consultation services or in previous years during the same time period. CONCLUSIONS: ED LOS and time to consultation were decreased for surgical consult patients after initiation of daily performance metric e-mails.
Subject(s)
Emergency Service, Hospital , General Surgery , Length of Stay/statistics & numerical data , Quality Improvement , Referral and Consultation , Academic Medical Centers , Efficiency, Organizational , Female , Hospitals, Teaching , Humans , Male , Massachusetts , Middle Aged , Outcome and Process Assessment, Health Care , Prospective Studies , Trauma CentersABSTRACT
Approximately 6 million fractures occur each year in the United States, with an estimated medical and loss of productivity cost of $99 billion. As our population ages, it can only be expected that these numbers will continue to rise. While there have been recent advances in available treatments for fractures, assessment of the healing process remains a subjective process. This study aims to demonstrate the use of micro-computed tomography (microCT)-based structural rigidity analysis to accurately and quantitatively assess the progression of fracture healing over time in a rat model. The femora of rats with simulated lytic defects were injected with human BMP-2 cDNA at various time points postinjury (t = 0, 1, 5, 10 days) to accelerate fracture healing, harvested 56 days from time of injury, and subjected to microCT imaging to obtain cross-sectional data that were used to compute torsional rigidity. The specimens then underwent torsional testing to failure using a previously described pure torsional testing system. Strong correlations were found between measured torsional rigidity and computed torsional rigidity as calculated from both average (R2 = 0.63) and minimum (R2 = 0.81) structural rigidity data. While both methods were well correlated across the entire data range, minimum torsional rigidity was a better descriptor of bone strength, as seen by a higher Pearson coefficient and smaller y-intercept. These findings suggest considerable promise in the use of structural rigidity analysis of microCT data to accurately and quantitatively measure fracture-healing progression.