안정훈 교수
Jeonghun Ahn
이화여자대학교 약학과 · 의학
연구실 소개
안정훈 교수의 연구실은 보건정책, 가치기반의료(VBHC), 및 의료기술 평가(HTA) 분야에서 핵심적인 연구를 수행하고 있습니다. 특히 환자 안전 향상을 위한 오류 보고 문화와 팀워크의 역할, 다약제내성 병원균에 의한 경제적 부담 분석, 그리고 실생활 데이터를 활용한 의료결정 지원 체계 구축에 초점을 맞추고 있습니다. 또한 한국의 의료 우선순위 설정에서의 가치 기반 의사결정과 비용-효익 분석을 통해 공정성과 효율성을 동시에 고려한 정책 기여를 목표로 합니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Teamwork was rated as moderate and was positively associated with nurses' error reporting performance. Hospital executives and nurse managers should make substantial efforts to enhance teamwork, which will contribute to encouraging the reporting of errors and improving patient safety.
Multi-stage regression analysis and path analysis provide important complements to the traditional regression analysis. Although regression (covariance) analysis is a useful and common multivariate analysis methodology in pharmacy and many other sciences, there is a problem of limited measurability that only the direct effects of included independent variables can be captured. Furthermore, the traditional regression analysis might yield biased estimates because of the ignored indirect effects in
PURPOSE: The purpose of this paper is to present the role of social values in setting healthcare priorities in Korea. DESIGN/METHODOLOGY/APPROACH: Using Clark and Weale's draft framework, Korean healthcare priority setting was analysed. The process values used were transparency, accountability, and participation, and the content values used were clinical effectiveness, cost effectiveness, justice/equity, solidarity and autonomy. FINDINGS: In the Korean health priority setting, it was found that
We aimed to estimate the socioeconomic burden of pneumonia due to multidrug-resistant Acinetobacter baumannii (MRAB) and Pseudomonas aeruginosa (MRPA). We prospectively searched for MRAB and MRPA pneumonia cases and matched them with susceptible-organism pneumonia and non-infected patients from 10 hospitals. The matching criteria were: same principal diagnosis, same surgery or intervention during hospitalisation, age, sex, and admission date within 60 days. We calculated the economic burden by u
INTRODUCTION: This paper summarizes the results from a forum of healthcare experts, academia representatives, and public agency officials from emerging and established market countries on Value-Based Healthcare (VBHC) and Health Technology Assessment (HTA). Presentations from experts provided insights into current developments and challenges, followed by interactive roundtable discussions. Emerging markets have unique healthcare systems, patient populations, resource constraints and needs. AREAS
The X-ray following VFA strategy is a cost-effective option for screening prevalent VF to prevent new VF in people aged ≥50 years due to its high effectiveness, lowest cost, and least radiation exposure.
BACKGROUND: Long-term usage of glucocorticoids results in a loss of bone mass and a higher risk of fracture, and the most common cause of secondary osteoporosis is glucocorticoid-induced osteoporosis (GIOP). For preventing GIOP, bisphosphonate (BP) is widely used. However, analysis on BP's effect on the prevention of re-fracture is insufficient. The purpose of the present study is to evaluate the comparative treatment effect and prevention of re-fracture according to the type of BP in GIOP as th
N on-pharmacological treatments (NPTs) including psychotherapies and behavioral therapies have proven to be an effective treatment tool for patients with depression. More importantly, NPTs reduce drop-out rates for pharmacotherapy when combined with it. Given that one of the major obstacles to effective treatment of depression is low adherence to antidepressant therapies, NPTs deserve more attention in treating patients with depression. This study aims to analyze the current status of NPTs for p
This paper utilizes a nonparametric panel data sample selection model to correct selection bias in the analysis of longitudinal medical claims data. Selection bias in the health economics data is a common problem and many health economists have used Heckman type selection models in cross-sectional analyses. Since longitudinal data structure is common in health economics data, especially medical claims data, the correction of selection bias in the longitudinal sense is especially valuable for hea
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