Determinants of length of stay for psychiatric inpatients: Analysis of a national database covering the entire Korean elderly population

Chung, Woojin; Oh, Sun-Min; Suh, Tongwoo; Lee, Young Moo; Oh, Byoung Hoon; Yoon, Chung-Won

doi:10.1016/j.healthpol.2009.09.004

Cited by 32 publications

(38 citation statements)

References 50 publications

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“…At a provider level, hospital capacity is positively associated with LOS (Chung et al 2010) while healthcare staffing levels have a negative relationship with LOS (Imai et al 2005). The positive relationship between LOS and hospital capacity is likely due to a desire to keep bed occupancy levels high and may also be related to the provider payment method (e.g.…”

Section: Findings From Previous Studiesmentioning

confidence: 99%

“…The positive relationship between LOS and hospital capacity is likely due to a desire to keep bed occupancy levels high and may also be related to the provider payment method (e.g. per diem) and hospital efforts to increase revenues (Chung et al 2010). Lower staffing levels may be indicative of cost-cutting efforts on the part of hospitals that consequently reduce quality of care and increase LOS (Imai et al 2005).…”

Section: Findings From Previous Studiesmentioning

confidence: 99%

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Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay

Moran

Jacobs

Mason

2016

Adm Policy Ment Health

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Length-of-stay (LOS) for inpatient mental health care is a major driver of variation in resource use internationally. We explore determinants of LOS in England, focusing on the impact of emergency readmission rates which can serve as a measure of the quality of care. Data for 2009/2010 and 2010/2011 are analysed using hierarchical and non-hierarchical models. Unexplained residual variation among providers is quantified using Empirical Bayes techniques. Diagnostic, treatment and patient-level demographic variables are key drivers of LOS. Higher emergency readmission rates are associated with shorter LOS. Ranking providers by residual variation reveals significant differences, suggesting some providers can improve performance.

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Section: Findings From Previous Studiesmentioning

confidence: 99%

Section: Findings From Previous Studiesmentioning

confidence: 99%

Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay

Moran

Jacobs

Mason

2016

Adm Policy Ment Health

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“…A number of recent epidemiological reports based on NHI data have been issued on stroke (2), multiple sclerosis (3), psychiatric illness (4), hip fracture (5), asthma (6), and appendicitis (7) in Korea. National registration or health insurance databases have also been used for the epidemiologic study of epilepsy in the UK (8), Finland (9), Denmark (10), and in the US (11).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Treated Epilepsy in Korea Based on National Health Insurance Data

Lee

Jung

Lee³

et al. 2012

J Korean Med Sci

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The Korean national health security system covers the entire population and all medical facilities. We aimed to estimate epilepsy prevalence, anticonvulsant utilization pattern and the cost. We identified prevalent epilepsy patients by the prescription of anticonvulsants under the diagnostic codes suggesting seizure or epilepsy from 2007 Korean National Health Insurance databases. The information of demography, residential area, the kind of medical security service reflecting economic status, anticonvulsants, and the costs was extracted. The overall prevalence of treated epilepsy patients was 2.41/1,000, and higher for men than women. The age-specific prevalence was the lowest in those in their thirties and forties. Epilepsy was more prevalent among lower-income individuals receiving medical aid. The regional prevalence was the highest in Jeju Island and lowest in Ulsan city. New anticonvulsants were more frequently used than old anticonvulsants in the younger age group. The total annual cost of epilepsy or seizure reached 0.46% of total medical expenditure and 0.27% of total expenditure on health. This is the first nationwide epidemiological report issued on epilepsy in Korea. Epilepsy prevalence in Korea is comparable to those in developed countries. Economic status and geography affect the prevalence of epilepsy.

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“…For example, all billing data for every month, which includes main disease names, types and times of laboratory tests, and names and doses of drugs administrated or injected in hospitals, can be electronically collected from all medical facilities in Korea and Japan. Even only having this information, we can analyze the nationwide tendency of clinical practices for a disease [17]. Now, because EHRs have evolved, all the events affecting a person’s health can be collected electronically throughout one’s lifetime, which can be considered as a personal health record (PHR), or a personal life record (PLR).…”

Section: Data Accumulation and Data-driven Approaches Across Biomedicmentioning

confidence: 99%

Data Analysis and Data Mining: Current Issues in Biomedical Informatics

Bellazzi¹,

Diomidous²,

Sarkar³

et al. 2011

Methods Inf Med

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Summary Background Medicine and biomedical sciences have become data-intensive fields, which, at the same time, enable the application of data-driven approaches and require sophisticated data analysis and data mining methods. Biomedical informatics provides a proper interdisciplinary context to integrate data and knowledge when processing available information, with the aim of giving effective decision-making support in clinics and translational research. Objectives To reflect on different perspectives related to the role of data analysis and data mining in biomedical informatics. Methods On the occasion of the 50th year of Methods of Information in Medicine a symposium was organized, that reflected on opportunities, challenges and priorities of organizing, representing and analysing data, information and knowledge in biomedicine and health care. The contributions of experts with a variety of backgrounds in the area of biomedical data analysis have been collected as one outcome of this symposium, in order to provide a broad, though coherent, overview of some of the most interesting aspects of the field. Results The paper presents sections on data accumulation and data-driven approaches in medical informatics, data and knowledge integration, statistical issues for the evaluation of data mining models, translational bioinformatics and bioinformatics aspects of genetic epidemiology. Conclusions Biomedical informatics represents a natural framework to properly and effectively apply data analysis and data mining methods in a decision-making context. In the future, it will be necessary to preserve the inclusive nature of the field and to foster an increasing sharing of data and methods between researchers.

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Determinants of length of stay for psychiatric inpatients: Analysis of a national database covering the entire Korean elderly population

Cited by 32 publications

References 50 publications

Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay

Variations in Performance of Mental Health Providers in the English NHS: An Analysis of the Relationship Between Readmission Rates and Length-of-Stay

Prevalence of Treated Epilepsy in Korea Based on National Health Insurance Data

Data Analysis and Data Mining: Current Issues in Biomedical Informatics

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