scholarly journals Response to Letter to the Editor: Factors Affecting Warfarin Related Knowledge and INR Control of Patients Attending Physicians and Pharmacists’ Managed Anticoagulation Clinics

2012 ◽  
Vol 25 (1) ◽  
pp. 111-112
Author(s):  
Syed S. Hasan ◽  
R. Shamala ◽  
Imran A. Syed
2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Ar-aishah Dadeh ◽  
Pitshaya Phunyanantakorn

Objective. We aimed to identify factors affecting length of stay in the emergency department in patients who presented with abdominal pain. Methods. A retrospective cohort study was conducted from 1 January 2017 to 31 December 2017. The medical records were reviewed from 217 patients older than 15 years with the chief complaint of abdominal pain. The patients were divided into emergency department length of stay (EDLOS) < 4 hours and ≥4 hours. The two groups were compared in terms of baseline characteristics, physical examination, time of presenting, attending physicians, interdepartmental consultations, investigations, ED disposition, final diagnosis, and mortality. The significant factors affecting longer EDLOS were examined using univariate and multivariate analyses by logistic regression. Results. Factors affecting longer EDLOS were age ≥50 (odds ratio (OR) 3.17, 95% confidence interval (CI) 1.36–7.42), interdepartmental consultation ≥2 specialists (OR 71.82, 95% CI 5.67–909.51), blood testing ≥2 rounds (OR 85.6, 95% CI 4.22–1734.6), and ultrasonography (OR 8.28, 95% CI 1.84–37.26). Conclusion. The study found that the statistically significant factors that prolonged EDLOS in patients with the chief complaint of abdominal pain were age, rounds of blood test, interdepartmental consultation, and the need for ultrasonography.


2010 ◽  
Vol 5 (2) ◽  
pp. 101-101
Author(s):  
Amir Biglar Beigi ◽  
Karen Kow Yip Cheng

2020 ◽  
Vol 34 (3) ◽  
pp. 299-309
Author(s):  
Sumei Zhang

Zhang (2015) and Lambert and Coomes (2001) have studied the Louisville Enterprise Zone (EZ) program and drawn different conclusions. This Forum/Letter to the Editor unpacks the differences in both studies by first exploring the structure and implementation of a state EZ program and various factors affecting EZ outcome measures. Methodologically, it is crucial to control for these factors to avoid biases in assessing the effectiveness of a program. Further exploration of conventional methods in the existing literature suggests that econometric analyses can offer remedies to control for these factors.


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