Seung-Mi Lee
Chung-Ang University
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Publication
Featured researches published by Seung-Mi Lee.
Research in Social & Administrative Pharmacy | 2016
Is Choi; Seung-Mi Lee; Linda Flynn; Chul-Min Kim; Saerom Lee; Na-Kyung Kim; Dong-Churl Suh
BACKGROUND A significant financial burden arises from medication errors that cause direct injury and those without patient harm that represent waste and inefficiency. OBJECTIVE To estimate the incidence, types, and causes of medication errors as well as their attributable costs in a hospital setting. METHODS For a retrospective case-control study, data were collected for 57,554 patients admitted to two New Jersey (U.S. State) hospitals during 2005-2006 as well as hospital-specific voluntary error reports from these two hospitals for the same period. Medication errors were classified into categories of stage, error type, and proximal cause, and the incidence was estimated. The costs attributable to medication errors were calculated using both the recycled prediction method, and the Blinder-Oaxaca decomposition method after propensity score matching. RESULTS Medication errors occurred at a rate of 0.8 per 100 admissions, or 1.6 per 1000 patient days. Most errors occurred at the administration stage of the medication use process. The most frequent types of errors were wrong time, wrong medication, wrong dose, and omission errors. Treatment costs attributable to medication errors were in the range of
Yonsei Medical Journal | 2017
Chongwon Chang; Seung-Mi Lee; Byoung-Whui Choi; Jong-hwa Song; Hee Song; Sujin Jung; Yoon Kyeong Bai; Haedong Park; Seungwon Jeung; Dong-Churl Suh
8,439 using the Blinder-Oaxaca decomposition method and
Health and Quality of Life Outcomes | 2018
Sungwon Jung; Seung-Mi Lee; David Suh; Hyun Taek Shin; Dong-Churl Suh
8,898 using the recycled prediction method. CONCLUSIONS Medication errors are associated with significant additional costs, even without patient harm. Considering the substantial costs associated with adverse drug events, the elimination of medication errors should be further emphasized and promoted, and guidelines should be developed to facilitate this goal.
Expert Review of Pharmacoeconomics & Outcomes Research | 2018
Dong-Churl Suh; Scott K. Griggs; Emmett R. Henderson; Seung-Mi Lee; Taehwan Park
Purpose To estimate annual health care and productivity loss costs attributable to overweight or obesity in working asthmatic patients. Materials and Methods This study was conducted using the 2003–2013 Medical Expenditure Panel Survey (MEPS) in the United States. Patients aged 18 to 64 years with asthma were identified via self-reported diagnosis, a Clinical Classification Code of 128, or a ICD-9-CM code of 493.xx. All-cause health care costs were estimated using a generalized linear model with a log function and a gamma distribution. Productivity loss costs were estimated in relation to hourly wages and missed work days, and a two-part model was used to adjust for patients with zero costs. To estimate the costs attributable to overweight or obesity in asthma patients, costs were estimated by the recycled prediction method. Results Among 11670 working patients with a diagnosis of asthma, 4428 (35.2%) were obese and 3761 (33.0%) were overweight. The health care costs attributable to obesity and overweight in working asthma patients were estimated to be
BMC Health Services Research | 2017
Sunmi Song; Seung-Mi Lee; Sunmee Jang; Yoon Jin Lee; Na-Hyun Kim; Hye-Ryoung Sohn; Dong-Churl Suh
878 [95% confidence interval (CI):
Value in Health | 2013
Seung-Mi Lee; Cm Kim; Sj Lim; Dong-Churl Suh
861–
European Journal of Clinical Pharmacology | 2016
Hyeun Ah Kang; Seung-Mi Lee; Chanmi Park; Dong-Sook Kim
895] and
Value in Health | 2015
Seung-Mi Lee; Is Choi; C Chang; Dong-Churl Suh
257 (95% CI:
International Journal of Clinical Pharmacy | 2018
Luigi Brunetti; Seung-Mi Lee; Nancy Doherty; David Suh; Jeongeun Kim; Sun-Hong Lee; Yong Chan Choi; Dong-Churl Suh
251–
International Journal for Quality in Health Care | 2017
Seung-Mi Lee; Soo-Ok Lee; Dong-Sook Kim
262) per person per year, respectively, from 2003 to 2013. The productivity loss costs attributable to obesity and overweight among working asthma patients were