• Title, Summary, Keyword: unnecessary readmission

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Estimation of cost by unnecessary readmission of the tertiary hospitals (불필요한 재입원 비용 추정에 관한 연구)

  • Shin, Min Sun;Lee, Won Jae
    • Journal of the Korea Convergence Society
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    • v.8 no.12
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    • pp.149-157
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    • 2017
  • Unnecessary readmissions could be the result of the inadequate and unnecessary treatments. Adequate quality indicators for readmission are important because they can identify inadequate spending by inpatients as well as quality screening. This study attempted to estimate the cost incurred by unnecessary readmissions. The Health Insurance Claims Data of 18 years or older who were admitted in the tertiary hospitals in 2014 were analyzed. Admissions and readmissions were sorted and readmissions were classified into planned and unplanned readmissions. We adopted 28 days as a criteria for the classification of the readmission. Proportion of the patients were higher in readmissions among cancer, accompanied diseases, and special rehabilitation patients. Cost of the readmissions were 50% of the total cost of the admission among the patients of same diseases, same departments, and same hospitals. Almost 1,000billion Won were used by the unnecessary readmissions. We need to reduce the readmissions in regions, departments, and diseases studying the pattern of the readmissions. National level efforts are required to improve quality of care and reduce cost by the unnecessary readmissions.

Comparative Analysis on the Characteristics of High Cost Medical Users between the Health Insurance and Medical Assistance Program (고액진료비 환자의 특성 비교분석 - 의료보험과 의료보호환자를 중심으로 -)

  • Kang, Sunny;Moon, Ok-Ryun
    • Quality Improvement in Health Care
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    • v.2 no.2
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    • pp.112-129
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    • 1996
  • Background : A small number of high cost patients usually spend a larger proportion of scarce health resources. Aged, long-term care and readmitted patients usually belong to these high cost patient group. Among others, long length of stay and readmission can be reduced by checking its cause, and these are the areas needed most of quality improvement activity. Characteristics of high cost medical users between health insurance program and medical assistance program were reviewed. Methods : The inpatient claims of health insurance and medical assistance program were analyzed. Patients were divided by 6 groups; long-term, mid-term, short-term, readmitted, cancer and aged. We defined high cost patients as those who had spent one and half million won and over per 6 months. Characteristics of high cost patients for each group were reviewed. Results : medical assistance patients used much more resources than the insured members in the average hospital cost per case but less in daily hospital cost. The former had a longer length of stay and had much heavier diseases. Major diseases of both group were cancer, diseases of circulatory system and chronic degenerative diseases. Gallstone and schizophrenia were more in the insured program. However, pulmonary tuberculosis, asthma were more common among the medical assistance patients. Early readmission before 2 weeks were 28-30% of the total readmission. Readmission rate in the malignat neoplasm and renal failure were 80% and more. Q.A program should be installed to prevent unnecessary readmissions. Conclusion : Almost 30% of early readmissions and admissions due to complications and long length of stay should be reviewed carefully to keep cost down and to enhance the quality of hospital care.

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A Systematic Review on Nurse-Led Transitional Care Programs for Discharged Patients from Hospital to Home (퇴원환자를 위한 간호사 주도 전환 프로그램의 내용과 효과에 관한 체계적 문헌고찰)

  • Lee, Hyun Joo;Kim, Yukyung;Oh, Eui Geum
    • Journal of Korean Clinical Nursing Research
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    • v.23 no.3
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    • pp.376-387
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    • 2017
  • Purpose: This study was to systematically review the contents and effects of nurse-led transitional care programs for discharged patients from hospital to home. Methods: Randomized controlled trials published between 2005 and 2015 were searched in Pubmed, Embase, Cochrane(Central Register of Controlled Trials) and CINAHL. Data were analyzed using Cochrane Review Manager(Revman) software 5.3. Results: Nine studies were selected and analyzed. Patient assessment, education and discharge planning were included in pre-discharge phase. Referring, communication and care planning were performed by nurses in transition phase. Home and phone visits, monitoring and multidisciplinary advices were included in post-discharge phase. Various outcome measures such as hospital utilization(30 days readmission and emergency department visit), quality of life, and cost were used to identify effectiveness of nurse-led transitional care programs. 30 days readmission(OR=.73, 95% CI 0.54, 0.98; p=.03) and emergency department visit(OR=.67, 95% CI 0.50, 0.88; p=.005) were statistically significant in meta-analysis. However, participant blinding was not done in seven studies which put at the risk of performance bias. Conclusion: The results indicated that nurse-led transitional care program is effective in reducing unnecessary hospital utilization. Nevertheless, small sample size and risk at performance bias are the limitation of this study. Thus, we suggest that well-designed randomized controlled trials need to be conducted.

A Study on the Development of Readmission Predictive Model (재입원 예측 모형 개발에 관한 연구)

  • Cho, Yun-Jung;Kim, Yoo-Mi;Han, Seung-Woo;Choe, Jun-Yeong;Baek, Seol-Gyeong;Kang, Sung-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.4
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    • pp.435-447
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    • 2019
  • In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

Analysis of the Current State of Home Health Nursing for Elderly Patients in Advanced General Hospital (일 상급종합병원 노인 환자의 가정간호 서비스 이용 현황 분석)

  • Park, Sung Hye;Jang, Yeon Soo;Kim, Su Jin
    • Journal of Korean Clinical Nursing Research
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    • v.25 no.3
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    • pp.275-284
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    • 2019
  • Purpose: The purpose of this study was to analyze the current state of home health nursing (HHN) for elders and to provide basic data on policy alternatives for establishing home medical care in the advanced general hospital. Methods: This study was conducted as a secondary data analysis, using electronic medical record (EMR) data of older patients who received HHN more than once from the S advanced general hospital between January 2016 and December 2018. Results: A total of 1,790 patients received HHN visits, with 22,477 visits being made. The mean age was 76.8±7.3 years old, 96.0% of elders had health insurance and 24.6% had orthopedics problems. Of the 1,168 people who visited emergency rooms, the most frequent symptom was pain (23.4%) and all patients visited the hospital at least once and at most 163 times outpatient care during HHN. Causative diseases were degenerative knee joint osteoarthritis (0.6%), surgery for right knee replacement (4.0%), and for dressings (9.7%) in the HHN service content analysis. Conclusion: The progress towards an aging society and the introduction of community care are expected to further enhance the need for HHN which should be able to provide comprehensive and continuous visiting health care services to the older patients. The results of this study are expected to help doctors solve problems not solved by HHN, reduce unnecessary emergency room or outpatient visits, and readmission, while at the same time contributing to the improvement of patient quality of life through efficient patient health care.