Healthcare Optimization : Current Status and Vitalization Suggestions

Kang, Sung-Hong; Kim, Byung‐In; Choi, Byung Kwan; Lee, Shin-Ho

doi:10.7232/jkiie.2013.39.4.313

Cited by 3 publications

(2 citation statements)

References 71 publications

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“…Lee et al reported that the quality of Korean primary medical institutions (0.3) was much poorer than that of the UK (1.9) or Canada (1.2) [ 30 ]. In addition, the results reflect that tertiary hospitals are equipped better, because they can provide a variety of medical services compared with community hospitals and clinics in Korean healthcare system [ 31 ]. To prevent relapse in patients with first-episode schizophrenia, environmental and institutional reorganization will be required.…”

Section: Discussionmentioning

confidence: 99%

Risk factors for relapse in patients with first-episode schizophrenia: Analysis of the Health Insurance Review and Assessment Service data from 2011 to 2015

Lee

Soh

Ryu

et al. 2018

Int J Ment Health Syst

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BackgroundSchizophrenia is a recurrent, debilitating disease that is rarely curable. Rapid intervention after the first episode of schizophrenia has been shown to positively affect the prognosis. Unfortunately, basic data is scarce on first-episode schizophrenia in Korean patients making it difficult to create a comprehensive list of risk factors for relapse. This study aims to investigate the demographic characteristics and institutional factors of patients with first-episode schizophrenia in order to identify risk factors for relapse.MethodsData from the Health Insurance Review & Assessment Service (HIRA) was used for this study to represent the Korean patient population. To identify factors affecting relapse, we explored gender, age, geographic location, medical benefits, type of medical institution, type of medication used, medication adherence, and the severity of symptoms. Data analysis was performed using the Cox proportional hazard model.ResultsThe number of patients diagnosed with first-episode schizophrenia in Korea over a 2-year period was 4567 of which 1265 (27.7%) patients experienced a relapse during the observational period. Factors affecting relapse included age, type of medical institution, type of medication used, medication adherence, and type of treatment (inpatient or outpatient) after the initial diagnosis, which varied depending upon the severity of symptoms.ConclusionsIt was found that environmental and institutional factors as well as the type of medical treatment were crucial in determining whether patients with first-episode schizophrenia subsequently relapsed. The results of this study can be utilized as source material for directing therapeutic interventions and improving mental health policies in the future.

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Section: Discussionmentioning

confidence: 99%

Risk factors for relapse in patients with first-episode schizophrenia: Analysis of the Health Insurance Review and Assessment Service data from 2011 to 2015

Lee

Soh

Ryu

et al. 2018

Int J Ment Health Syst

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“…이러한 개개 인의 특성을 반영할 수 없는 수리적 모델의 단점을 극복하기 위하여 시뮬레이션 모델이 사용되었다. 시뮬레이션 모델은 전 염병뿐만 아니라 의료서비스 전반에 걸쳐 많이 쓰이는 방법론 이다 (Brailsford, 2007;Koo et al, 2012;Kang et al, 2013 (Lee et al, 2010, Chao et al, 2010, Chen et al, 2010. 국외의 경우, 잘 만들어진 지역 단위의 시뮬레이션 모델들이 존재한다 (Smith et al, 1995;Del Valle et al, 2006;Chao et al, 2010;Stein et al, 2013 …”

Section: 서 론unclassified

Epidemic Disease Spreading Simulation Model Based on Census Data

황교상¹,

이태식²,

이현록³

2014

Journal of Korean Institute of Industrial Engineers

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Epidemic models are used to analyze the spreading of epidemic diseases, estimate public health needs, and assess the effectiveness of mitigation strategies. Modeling scope of an epidemic model ranges from the regional scale to national and global scale. Most of the epidemic models developed in Korea are at the national scale using the equation-based model. While these models are useful for designing and evaluating national public health policies, they do not provide sufficient details. As an alternative, individual-based models at the regional scale are often used to describe disease spreading, so that various mitigation strategies can be designed and tested. This paper presents an individual-based epidemic spreading model at regional scale. This model incorporates 2005 census data to build the synthetic population in the model representing Daejeon in 2005. The model's capability is demonstrated by an example where we assess the effectiveness of several mitigation strategies using the model. †

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Development of National e-Health Strategy

Shin¹,

Cho²,

Kim³

et al. 2016

Journal of Korean Institute of Industrial Engineers

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A well-established e-health strategy at the national level is necessary to successfully achieve the trust-and-consensus-based e-health goals by linking strategic information planning and the execution of an implementation plan. This paper provides a methodology of how to establish a national e-health strategy and the case of e-Health Information Strategic Planning (ISP) of the Ministry of Health and Welfare of Korea. The ISP is to improve the quality of care and contribute to the economic growth by integrating a variety of policies and providing affordable and competitive services. †

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Healthcare Optimization : Current Status and Vitalization Suggestions

Cited by 3 publications

References 71 publications

Risk factors for relapse in patients with first-episode schizophrenia: Analysis of the Health Insurance Review and Assessment Service data from 2011 to 2015

Risk factors for relapse in patients with first-episode schizophrenia: Analysis of the Health Insurance Review and Assessment Service data from 2011 to 2015

Epidemic Disease Spreading Simulation Model Based on Census Data

Development of National e-Health Strategy

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