• Title, Summary, Keyword: readmission

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Reasons and Risk Factors for Readmission Following Hospitalization for Community-acquired Pneumonia in South Korea

  • Jang, Jong Geol;Ahn, June Hong
    • Tuberculosis and Respiratory Diseases
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    • v.83 no.2
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    • pp.147-156
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    • 2020
  • Background: Limited studies have been performed to assess readmission following hospitalization for community-acquired pneumonia (CAP) in an Asian population. We evaluated the rates, reasons, and risk factors for 30-day readmission following hospitalization for CAP in the general adult population of Korea. Methods: We performed a retrospective observational study of 1,021 patients with CAP hospitalized at Yeungnam University from March 2012 to February 2014. The primary end point was all-cause hospital readmission within 30 days following discharge after the initial hospitalization. Hospital readmission was classified as pneumonia-related or pneumonia-unrelated readmission. Results: During the study period, 862 patients who survived to hospital discharge were eligible for inclusion and among them 72 (8.4%) were rehospitalized within 30 days. In the multivariable analysis, pneumonia-related readmission was associated with para/hemiplegia, malignancy, pneumonia severity index class ≥4 and clinical instability ≥1 at hospital discharge. Comorbidities such as chronic lung disease and chronic kidney disease, treatment failure, and decompensation of comorbidities were associated with the pneumonia-unrelated 30-day readmission rate. Conclusion: Rehospitalizations within 30 days following discharge were frequent among patients with CAP. The risk factors for pneumonia-related and -unrelated readmission were different. Aspiration prevention, discharge at the optimal time, and close monitoring of comorbidities may reduce the frequency of readmission among patients with CAP.

건강보험 청구자료를 이용한 일반 질 지표로서의 위험도 표준화 재입원율 산출: 방법론적 탐색과 시사점 (Developing a Hospital-Wide All-Cause Risk-Standardized Readmission Measure Using Administrative Claims Data in Korea: Methodological Explorations and Implications)

  • 김명화;김홍수;황수희
    • 보건행정학회지
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    • v.25 no.3
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    • pp.197-206
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    • 2015
  • Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.

미국, 캐나다, 영국의 재입원율 활용 현황 (Readmission Rate: Experience in USA, Canada and UK)

  • 이상아;주영준;신재용;박은철;이후연
    • 한국의료질향상학회지
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    • v.22 no.1
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    • pp.29-37
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    • 2016
  • Readmission which reflects capacity to manage patients and general level of medical services has been known for one of the causes of medical expenditure due to inefficient service. Compared to disease-specific readmission, hospital wide readmission (HWR) is relatively easy to understand, and has merit to get over limitation of collateral medical services assessment; therefore, a growing interest in development and usage of readmission indicator as quality of care indicator focusing on all-disease is detected. In this study, we investigate current state of risk standardized readmission rate indicator used in the United States, the United Kingdom, and Canada, and examine the considerations when using readmission rate as quality indicator in Korea. Differences in risk-adjustment methods were showed among countries. The United States do not control race not to hide socio-demographic factors on readmission. Canada shows differentiation compared to other countries about reflecting community factors. All three-countries utilize readmission rate as monitoring quality of care rather than incentives or penalty due to the fact that readmission rate could not represent the whole quality of hospital and has a limitation at controlling socio-economic factors. Therefore, for usage readmission rate as quality indicator in Korea, preparing readmission classification standard for Korean medical environment and additional methods for acquiring information by using discharge summary is need. Moreover, continued discussion with clinical specialists is needed for obtain clinical reliability and validity.

중환자실 환자의 비계획적 재입실 위험 요인 (Risk Factors of Unplanned Readmission to Intensive Care Unit)

  • 김유정;김금순
    • 임상간호연구
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    • v.19 no.2
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    • pp.265-274
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    • 2013
  • Purpose: The aim of this study was to determine the risk factors contributed to unplanned readmission to intensive care unit (ICU) and to investigate the prediction model of unplanned readmission. Methods: We retrospectively reviewed the electronic medical records which included the data of 3,903 patients who had discharged from ICUs in a university hospital in Seoul from January 2011 to April 2012. Results: The unplanned readmission rate was 4.8% (n=186). The nine variables were significantly different between the unplanned readmission and no readmission groups: age, clinical department, length of stay at 1st ICU, operation, use of ventilator during 24 hours a day, APACHE II score at ICU admission and discharge, direct nursing care hours and Glasgow coma scale total score at 1st ICU discharge. The clinical department, length of stay at 1st ICU, operation and APACHE II score at ICU admission were the significant predictors of unplanned ICU readmission. The predictive model's area under the curve was .802 (p<.001). Conclusion: We identified the risk factors and the prediction model associated with unplanned ICU readmission. Better patient assessment tools and knowledge about risk factors could contribute to reduce unplanned ICU readmission rate and mortality.

Predictors of Readmission after Inpatient Plastic Surgery

  • Jain, Umang;Salgado, Christopher;Mioton, Lauren;Rambachan, Aksharananda;Kim, John Y.S.
    • Archives of Plastic Surgery
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    • v.41 no.2
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    • pp.116-121
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    • 2014
  • Background Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12- 3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21-5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001), bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046), American Society of Anesthesiologists (ASA) class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004), and obesity (body mass index ${\geq}30$) (OR, 1.43; CI, 1.09-1.88, P=0.011) to be significant predictors of readmission. Conclusions Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.

일반 질 지표로서의 위험도 표준화 재입원율의 적절성 (Is the Risk-Standardized Readmission Rate Appropriate for a Generic Quality Indicator of Hospital Care?)

  • 최은영;옥민수;이상일
    • 보건행정학회지
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    • v.26 no.2
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    • pp.148-152
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    • 2016
  • The hospital readmission rate has been widely used as an indicator of the quality of hospital care in many countries. However, the transferrability of this indicator that has been developed in a different health care system can be questioned. We reviewed what should be considered when using the risk-standardized readmission rate (RSRR) as a generic quality indicator in the Korean setting. We addressed the relationship between RSRR and the quality of hospital care, methodological aspects of RSRR, and use of RSRR for external purposes. These issues can influence the validity of the readmission rate as a generic quality indicator. Therefore RSRR should be used with care and further studies are needed to enhance the validity of the readmission rate indicator.

비예정과 예정된 재입원 환자들간의 관련 요인 분석 (Association Between Unplanned and Planned Readmissions in an University Hospital)

  • 오현주;유승흠
    • 한국의료질향상학회지
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    • v.4 no.2
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    • pp.242-259
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    • 1997
  • This study describes associated factors of readmission of 213 inpatients from an university hospital in Seoul. This retrospective study reviewed medical records of patients who discharged from a hospital stay for general diseases between 1 August 1995 and 31 October 1995, Cases were 68 discharge patients with an unplanned readmission within 30 days of discharge from an index stay. And the other cases are 145 patients who had more than two discharges and didn't have an unplanned readmission within 30 days. Logistic regression model was analyzed and the results were as follows; 1. duration of readmission, rate of unpayed, room, path, and risk of disease were more likely to be readmitted unexpectedly than the expected readmission patients. 2. early readmission, low risk condition group, and inadquateness of discharge plann for patients had unplanned radmissions rather than planned readmissions. Therefore, discharge planning education to health care provider is required and assessement of discharge planning should be evaluated. Readmissions are usually for related problems that arose during the original hopitaliztion and caused cost problems. Especially the unplanned readmissions are frequently preventable. Ultimately, models for readmissions can serve as a valuable clinical tool for target high-risk patients and older patients and with this kind of tools we can reduce hospital readmissions and maintain high-quality of inpatient care.

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비예정 재입원의 위험요인에 대한 환자-대조군 연구 (A Case-control Study of unexpected Readmission in a University Hospital)

  • 유승흠;오현주
    • Journal of Preventive Medicine and Public Health
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    • v.32 no.3
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    • pp.289-296
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    • 1999
  • Objectives: This study describes the risk factors affecting the unexpected readmission of 261 patients who were discharged from a university hospital in Seoul. Methods: This case-control study reviewed medical records of inpatients who had been discharged from a hospital between 1 August 1995 and 31 October 1995 after the treatment for general diseases. The cases were 68 patients who were readmitted unexpectedly within 28 days of discharge from an index stay, and the controls were 193 Patients who were discharged without readmission during the study period. Results: Logistic regression analysis results were as follows; Patients who had no operation during their hospital stay were more likely to be readmitted unexpectedly than patients who had operation. Patients who had 1 or 2 parts of their body being involved in treatment were more likely to be readmitted unexpectedly than patients who hand more than 3 parts of their body being involved in treatment. Patients who had complications after surgery were more likely to be readmitted unexpectedly than patients who had no complications. Insufficient discharge planning caused unexpected readmissions. Conclusions: Discharge planning education should be extended to health care providers. And the assessment of discharge planning should be evaluated. Readmission is often necessary for the treatment of related problems of originating from initial hospitalization, which causes cost problems. Unexpected readmission is preventable and the models for readmission can serve as a valuable clinical tool for high risk patients.

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서울시 소재 한 대학병원 퇴원환자의 재입원 관련요인 (Factors Associated with Unplanned Hospital Readmission)

  • 이은환;유승흠;이해종;김석일
    • 병원경영학회지
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    • v.15 no.4
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    • pp.125-142
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    • 2010
  • Objective : To determine demographic, clinical, health care utilization factors predicting unplanned readmission(within 28 days) to the hospital. Methods : A case-control study was conducted from January to December 2009. Multiple logistic regression was used to examine risk factors for readmission. 180 patients who had been readmitted within 28 days and 1,784 controls were recruited from an university hospital in Seoul. Results : Six risk factors associated with readmission risk were identified and include mail sex, medical service rather than surgical service, number of comorbid diseases, type of patient's room, lenth of stay, number of admissions in the prior 12 months. Conclusions : One of the association with readmission risk identified was the number of hospital admissions in the previous year. This factor may be the only risk factor necessary for assessing prior risk and has the additional advantage of being easily accessible from computerized medical records without requiring other medical record review. This risk factor may be useful in identifying a group at high readmission risk, which could be targeted in intervention studies. Multiple risk factors intervention approach should be considered in designing future prevention strategies.

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가정용 인공호흡기 장착 아동의 재입원 영향 요인 (Factors Influencing Readmission of Home Ventilator-Assisted Children)

  • 김미화;김희순;박준동
    • Child Health Nursing Research
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    • v.18 no.1
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    • pp.9-18
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    • 2012
  • Purpose: This study was conducted to analyze factors affecting readmission of children with home ventilator care. Methods: To collect patient data, a retrospective chart review was done of medical records of children admitted between June 1, 2007 and May 31, 2010 at one children's hospital located in Seoul. During that period 30 children were discharged with a home ventilator. Results: Twenty-one of these children had a total of 63 readmissions during the study period, averaging 2.1 readmissions per child with a mean duration of hospitalization of 7.4 days. Children with nasogastric tubes were more frequently readmitted (t=7.232, p=.012) and duration of hospitalization was significantly longer (t=4.761, p=.038). Children who had cardio-pulmonary comorbidity were more frequently readmitted and had longer hospitalization than children without comorbidity (t=5.444, p=.027). When home ventilator assisted children were admitted via emergency room, they were hospitalized longer (t=14.686, p=<.001). Cardio-pulmonary morbidity and readmission via ER explained 38.1% of variation for readmission. Feeding method explained 15.0% of variation in length of hospitalization. Conclusion: The results suggest that health care providers must give individualized education on home ventilator care to parents with children who are at risk for readmission due to cardio-pulmonary comorbidities, nasogastric tube, or readmission via ER.