scholarly journals Factors Associated With Emergency Department Discharge, Outcomes and Follow-Up Rates of Stable Patients With Lower Gastrointestinal Bleeding

2021 ◽  
Vol 14 (4) ◽  
pp. 227-236
Author(s):  
Tracey A. Martin ◽  
Sunena Tewani ◽  
Lindsay Clarke ◽  
Aiya Aboubakr ◽  
Srikanth Palanisamy ◽  
...  
Author(s):  
Paige L Seegan ◽  
Kavya Tangella ◽  
Nicholas P Seivert ◽  
Elizabeth Reynolds ◽  
Andrea S Young ◽  
...  

Abstract Attrition between emergency department discharge and outpatient follow-up is well documented across a variety of pediatric ailments. Given the importance of outpatient medical care and the lack of related research in pediatric burn populations, we examined sociodemographic factors and burn characteristics associated with outpatient follow-up adherence among pediatric burn patients. A retrospective review of medical records was conducted on patient data extracted from a burn registry database at an urban academic children’s hospital over a 2-year period (January 2018–December 2019). All patients were treated in the emergency department and discharged with instructions to follow-up in an outpatient burn clinic within 1 week. A total of 196 patients (Mage = 5.5 years; 54% male) were included in analyses. Average % TBSA was 1.9 (SD = 1.5%). One third of pediatric burn patients (33%) did not attend outpatient follow-up as instructed. Older patients (odds ratio [OR] = 1.00; 95% confidence interval [CI]: [0.99–1.00], P = .045), patients with superficial burns (OR = 9.37; 95% CI: [2.50–35.16], P = .001), patients with smaller % TBSA (OR = 1.37; 95% CI: [1.07–1.76], P = .014), and patients with Medicaid insurance (OR = 0.22; 95% CI: [0.09–0.57], P = .002) or uninsured/unknown insurance (OR = 0.07; 95% CI: [0.02–0.26], P = .000) were less likely to follow up, respectively. Patient gender, race, ethnicity, and distance to clinic were not associated with follow-up. Follow-up attrition in our sample suggests a need for additional research identifying factors associated with adherence to follow-up care. Identifying factors associated with follow-up adherence is an essential step in developing targeted interventions to improve health outcomes in this at-risk population.


2017 ◽  
Vol 214 (6) ◽  
pp. 1018-1021 ◽  
Author(s):  
Lara Spence ◽  
Eric Pillado ◽  
Dennis Kim ◽  
David Plurad

Cureus ◽  
2020 ◽  
Author(s):  
Kelly Lien ◽  
Barrett A Grattan ◽  
Alexandra L Reynard ◽  
Jocelynn Peters ◽  
Jennifer L Parr

2020 ◽  
Vol 3 (10) ◽  
pp. e2019878
Author(s):  
Michelle P. Lin ◽  
Ryan C. Burke ◽  
E. John Orav ◽  
Tynan H. Friend ◽  
Laura G. Burke

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S99-S100
Author(s):  
R. Ramaekers ◽  
C. Leafloor ◽  
J. J. Perry ◽  
V. Thiruganasambandamoorthy

Introduction: Lower gastrointestinal bleeding (LGIB) can result in serious adverse events, including recurrent bleeding, need for intervention and death. Endoscopy is important in the management of LGIB, however gastroenterologists have limited resources to safe endoscopy. Risk stratification of LGIB patients can aid physicians in disposition decisions. Objective: to develop a clinical decision tool to accurately identify LGIB patients presenting to the emergency department (ED) who are at risk for 30-day serious adverse events. Methods: We conducted a health records review and included 372 adult ED patients who presented with an acute LGIB. The outcome was a 30-day composite outcome consisting of all-cause death, recurrent LGIB, need for intervention to control the bleed and ICU admission. A second researcher confirmed data-collection of 10% of the data and we calculated a -value for inter-rater reliability. We analyzed the data using stepwise backwards selection and SELECTION=SCORE option and calculated the diagnostic accuracy of the final model. Results: Age 75 years, hemoglobin 100 g/L, INR 2.0, a bloody stool in the ED and a past medical history of colorectal polyps were significant predictors in the multivariable regression analysis. The AUC was 0.83 (95% CI 0.77-0.89), sensitivity 0.96 (0.90-1.00), specificity 0.53 (0.48-0.59), and negative likelihood ratio 0.08 (0.02-0.30) for a cut-off score of 1. Conclusion: This model showed good ability to identify LGIB patients at low risk for adverse events as evidenced by the high AUC, sensitivity and negative likelihood ratio. Future, large prospective studies should be done to confirm the data, after which it should be validated and implemented.


2019 ◽  
Vol 218 (6) ◽  
pp. 1079-1083
Author(s):  
Jillian L. Angelo ◽  
Amy H. Kaji ◽  
Lara H. Spence ◽  
David S. Plurad ◽  
Marlo Asis ◽  
...  

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