scholarly journals Factors associated with emergency room visits within 30 days of outpatient foot and ankle surgeries

2018 ◽  
Vol 31 (2) ◽  
pp. 157-160 ◽  
Author(s):  
Naohiro Shibuya ◽  
Himani Patel ◽  
Colin Graney ◽  
Daniel C. Jupiter
2010 ◽  
Vol 8 (3-4) ◽  
pp. 202-203
Author(s):  
M. Smith ◽  
M. Ory ◽  
A. Hochhalter ◽  
A. Stevens ◽  
S. Ahn

1999 ◽  
Vol 23 (2) ◽  
pp. 217-233 ◽  
Author(s):  
Arie Nouwen ◽  
Mark H. Freeston ◽  
RÉJean LabbÉ ◽  
Louis-Philippe Boulet

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Liang En Wee ◽  
Lian Leng Low ◽  
Julian Thumboo ◽  
Angelique Chan ◽  
Kheng Hock Lee

2020 ◽  
Vol 5 (4) ◽  
pp. 2473011420S0010
Author(s):  
Megan K. Allen ◽  
James M. Parrish ◽  
Rushabh M. Vakharia ◽  
Jonathan R. Kaplan ◽  
Ettore Vulcano ◽  
...  

Category: Ankle; Other Introduction/Purpose: Ankle fractures are common injuries that may require surgical treatment consisting of open reduction and internal fixation (ORIF). Injuries associated with increased pain levels are also correlated with increased opioid use, which is also recognized as a risk factor for bone fracture. There is a paucity of literature evaluating the impact of patients with a history of opioid use disorder (OUD) on postoperative complications following ORIF for ankle fracture. This study aims to investigate whether OUD patients are at greater odds of: 1) readmission rates, 2) emergency room visits, and 3) costs of care. Methods: Patients undergoing ORIF for ankle fracture with a 90-day history of OUD prior to the procedure were identified using national health insurance claims database. We selected patients that underwent surgical corrections as recorded by the following current procedural terminology (CPT) medical codes: 27792, 27814, 27822, 27823, 27766, 27829, and 27769. We matched cases with OUD to controls with a 1:4 of OUD to non-OUD controls. Variables that were matched between non-controls and controls included age, sex, Elixhauser- Comorbidity Index (ECI), in addition to comorbidities including diabetes, hyperlipidemia, hypertension, and tobacco usage. Logistic regression analysis was used to calculate odds-ratios (OR) for outcomes of 90-day readmission rates and emergency room visits. Welch’s t-test was used to test for significance of outcomes of cost of care and ECI between the cohorts. A p-value less than 0.001 was statistically significant. Results: A total of 2,198 patients were included with (n= 485) and without (n = 1,698) OUD undergoing ORIF for ankle fracture (Table 1). OUD patients undergoing ORIF for ankle fractures were found to have a higher incidence and odds of 90-day readmission rates compared to controls (8.65 vs. 7.30%; OR: 1.20, 95%CI: 0.83 - 1.73, p=0.320), but failed to reach statistical significance. OUD patients were found to have a higher incidence and odds of emergency room visits compared to controls (3.50 vs. 0.64%; OR: 5.57, 95% CI: 2.59 - 11.97, p<0.0001). OUD patients also incurred significantly higher costs of care compared to controls ($5,921.59 vs. $5,128.22, p<0.0001). Conclusion: Patients with OUD have greater odds of 90-day hospital readmission rates, emergency room visits, and costs of care following ORIF procedures for ankle fracture. These outcomes are consistent with previous research which found increased costs associated with individuals diagnosed with OUD prior to undergoing other foot and ankle procedures. This study, establishes that patients with OUD place a significant, but preventable, financial burden on healthcare resources. The findings of this study highlight the role that foot and ankle orthopaedic surgeons can play in reducing healthcare costs and improving patient outcomes by addressing OUD prior to the occurrence of injury. [Table: see text]


2019 ◽  
Vol 6 (2) ◽  
pp. 138-143
Author(s):  
Do Young Kim ◽  
Dae Hee Kim ◽  
Hai-Jeon Yoon ◽  
Woon Jeong Lee ◽  
Seon Hee Woo ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Guerrero Fernández de Alba ◽  
A Gimeno-Miguel ◽  
B Poblador Plou ◽  
K Bliek Bueno ◽  
J Carmona Pirez ◽  
...  

Abstract Background Type 2 diabetes mellitus (T2D) is often accompanied by other chronic diseases, including mental diseases (MD). This work aimed at studying MD prevalence in T2D patients and analyse its impact on T2D health outcomes. Methods Retrospective, observational study of individuals of the EpiChron Cohort aged 18 and over with prevalent T2D at baseline (2011) in Aragón, Spain (n = 63,365). Participants were categorized by the existence or absence of MD, defined as the presence of depression, anxiety, schizophrenia or substance abuse. MD prevalence was calculated, and a logistic regression model was performed to analyse the likelihood of the four studied health outcomes (4-year all-cause mortality, all-cause hospitalization, T2D-hospitalization, and emergency room visits) based on the presence of each type of MD, after adjusting by age, sex and number of comorbidities. Results Mental diseases were observed in 19% of T2D patients, with depression being the most frequent condition, especially in women (20.7% vs. 7.57%). Mortality risk was significantly higher in patients with MD (odds ratio -OR- 1.24; 95% confidence interval -CI- 1.16-1.31), especially in those with substance abuse (OR 2.18; 95% CI 1.84-2.57) and schizophrenia (OR 1.82; 95% CI 1.50-2.21). The presence of MD also increased the risk of T2D-hospitalization (OR 1.51; 95% CI 1.18-1.93), emergency room visits (OR 1.26; 95% CI 1.21-1.32) and all-cause hospitalization (OR 1.16; 95% CI 1.10-1.23). Conclusions The high prevalence of MD among T2D patients, and its association with health outcomes, underscores the importance of providing integrated, person-centred care and early detection of comorbid mental diseases in T2D patients to improve disease management and health outcomes. Key messages Comprehensive care of T2D should include specific strategies for prevention, early detection, and management of comorbidities, especially mental disorders, in order to reduce their impact on health. Substance abuse was the mental disease with the highest risk of T2D-hospitalization, emergency room visits and all-cause hospitalization.


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