• Quality Improvement in Health Care
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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.

• Korea Journal of Hospital Management
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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.

• Journal of Korean Biological Nursing Science
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• v.24 no.4
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• pp.262-271
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• 2022

Purpose: The purpose of this study was to identify the factors affecting readmission in stroke patients. Methods: A retrospective study design was used. Participants were 3,675 adult cerebral stroke patients in the inpatient wards of the Department of Neurology and Neurosurgery of G University Hospital located in C city. Data were collected from January 1, 2016 to December 31, 2021 and data were analyzed using χ² test, independent t-test, and multivariate logistic regression with SPSS/WIN 24.0. Results: After discharge for stroke, the readmission rate was 23.7%, and the mortality rate was 0.3%. The variables with significant differences between the readmission group and non-readmission group were age, type of stroke, surgery, ICU treatment, mRS score, blood pressure, diabetes, and heart disease. Factors influencing an readmission in stroke patients were Age 65-74 (OR 1.30, 95% CI=1.03-1.64), ≥ 75 (OR 1.28, 95% CI=1.02-1.62), mRS score 2points (OR 2.50, 95% CI=1.99-3.13), HTN status (OR 1.26, 95% CI=1.07-1.50), CVD status (OR 1.38, 95% CI=1.01-1.90), TC (OR 1.60, 95% CI=1.05-2.44). Conclusion: To lower the readmission rate of stroke patients, it is essential to control lifestyle, including whether or not to take treatment drugs, after diagnosing risk factors such as high blood pressure, diabetes, and heart disease, hyperlipidemia. Nursing interventions that can provide information on risk factor management and coping strategies are urgently needed as symptoms change. In addition, research is needed to develop and implement an intervention strategy that can improve the function of stroke patients as much as possible at home or in society so that they can lead an independent life without the help of others, and verify their effectiveness.

• Journal of Preventive Medicine and Public Health
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• v.56 no.6
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• pp.563-572
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• 2023

Objectives: The high readmission rate of patients with chronic obstructive pulmonary disease (COPD) has led to the worldwide establishment of proactive measures for identifying and mitigating readmissions. This study aimed to identify factors associated with readmission, as well as groups particularly vulnerable to readmission that require transitional care services. Methods: To apply transitional care services that are compatible with Korea's circumstances, targeted groups that are particularly vulnerable to readmission should be identified. Therefore, using the National Health Insurance Service's Senior Cohort database, we analyzed data from 4874 patients who were first hospitalized with COPD from 2009 to 2019 to define and analyze readmissions within 30 days after discharge. Logistic regression analysis was performed to determine factors correlated with readmission within 30 days. Results: The likelihood of readmission was associated with older age (for individuals in their 80s vs. those in their 50s: odds ratio [OR], 1.59; 95% confidence interval [CI], 1.19 to 2.12), medical insurance type (for workplace subscribers vs. local subscribers: OR, 0.84; 95% CI, 0.72 to 0.99), type of hospital (those with 300 beds or more vs. fewer beds: OR, 0.77; 95% CI, 0.66 to 0.90), and healthcare organization location (provincial areas vs. the capital area: OR, 1.66; 95% CI, 1.14 to 2.41). Conclusions: Older patients, patients holding a local subscriber insurance qualification, individuals admitted to hospitals with fewer than 300 beds, and those admitted to provincial hospitals are suggested to be higher-priority for transitional care services.

• Journal of Korean Public Health Nursing
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• v.16 no.1
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• pp.201-212
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• 2002

This study was designed to identify the risk factors of unplanned readmission in a university hospital. The six-month discharge information from January to June, 2000 in a tertiary university hospital was used as a source of data through the medical record and hospital information system. To increase the effect of comparison. the data were collected by sampling 192 couples (384 patients) of unplanned readmission group through the matching by its disease groups, sex, and age. The accuracy of prediction for unplanned readmission was analyzed by constructing the predicted model of unplanned readmission through the logistic regression. The study results are as follows. The conditional logistic regression analysis was performed with nine variables at the significance level 0.05 through univariate analysis including residence, days after discharge, initial admission route, previous admission, transfer to special care unite, hospital stay days, medical care expenses, special cares, and laboratory and imaging services. As a result, the closer the patients live in Seoul and Gyeong-in area (Odds ratio=2.529, p=0.003), the shorter the days after discharge was (Odds ratio=0.600, p=0.000), and the more frequent admission rate was (Odds ratio=2.317, p=0.004), the more unplanned readmission was resulted. Also, the accuracy of prediction for data classification of this regression model showed $70.3\%$(032+83/306).

• Pediatric Infection and Vaccine
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• v.24 no.3
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• pp.146-151
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• 2017

Purpose: We analyzed the risk factors affecting readmission of children with pneumonia. Methods: We retrospectively analyzed the medical records of pediatric patients admitted to the Department of Pediatrics at the Jeonju Presbyterian Medical Center from January 2007 to August 2016. We classified patients who were readmitted with pneumonia within 30 days of discharge as the readmission group and patients who were admitted with pneumonia for the first time as the first admission group. Results: Among 158 patients, the study (readmission) group included 82 patients and the control (first admission) group included 76 patients. Age, the percentage of segmented neutrophils and lymphocytes, the number of admissions in the last 12 months, the associated diseases (respiratory diseases such as asthma), and the affection of the right upper lung were analyzed as risk factors for readmission. However, based on a regression analysis, only age and associated diseases were found to be significant risk factors. The rate of readmission increased with younger age. When there were associated diseases, the rate of readmission also increased. Conclusions: Young age and associated diseases were significant risk factors for readmission for patients with pediatric pneumonia. When pediatric patients are admitted with pneumonia, if they are young and/or have associated diseases, a comprehensive approach is needed to reduce the rate of readmission with careful consideration of precise examination, treatment, timing of discharge, and follow-up.

• 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.

• Clinics in Shoulder and Elbow
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• v.26 no.1
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• pp.41-48
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• 2023

Background: Shoulder instability procedures have low morbidity; however, complications can arise that result in readmission to an inpatient healthcare facility. The purpose of this study is to identify the demographics and risk factors associated with unplanned 30-day readmission and reoperation following arthroscopic and open treatment for shoulder instability. Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried to find patients who underwent shoulder instability surgery from 2015 to 2019. Independent sample Student t-tests, chi-square, and (where appropriate) Fisher's exact tests were used in univariate analyses to identify demographic, lifestyle, and perioperative variables related to 30-day readmission and reoperation following repair for shoulder instability. Multivariate logistic regression modeling was subsequently performed. Results: Of the 11,230 cases included in our sample, only 0.54% were readmitted, and 0.23% underwent reoperation within the 30-day postoperative period. Multivariate logistic regression modeling confirmed that the following patient variables were associated with statistically significantly increased odds of readmission and reoperation: open repair, congestive heart failure (CHF), and hospital length of stay. Conclusions: Unplanned 30-day readmission and reoperation after shoulder instability surgery is infrequent. Patients with American Society of Anesthesiologists class II, CHF, longer than average hospital length of stay, or an open procedure have higher odds of readmission than patients without those factors. Patients who have CHF, longer than average hospital length of stay, and open surgery have higher odds of reoperation than others. Arthroscopic procedures should be used to manage shoulder instability, if possible. Level of evidence: III.

• Clinical and Experimental Pediatrics
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• v.52 no.8
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• pp.888-892
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• 2009

Purpose : To evaluate the risk factors for hospital readmission during the neonatal period among late preterm infants who were discharged after nursery care. Methods : In this retrospective study, we reviewed medical records of 135 late preterm infants readmitted to the neonatal intensive care unit (NICU) during the neonatal period, after discharge from nursery of IL Sin Christian Hospital from January 2003 to December 2008. We compared the risk factors of the hospital readmission group with the control group. Results : The gestational age and birth weight of 135 study infants were $36^{+1}{\pm}0.5$ weeks and $2,718.4{\pm}296.9gm$, respectively. Identified risk factors of hospital readmission were breastfeeding (71.9% vs. 44.4%), short duration of nursery stay ($3.3{\pm}1.6$ days vs. $4.1{\pm}2.0$ days), firstborn (60.0% vs. 45.3%), and maternal pregnancy complication (31.9% vs. 18.8%). Jaundice accounted for the majority of hospital readmissions (83.7%), and the age at hospital readmission was $6.2{\pm}3.6$ postnatal days, mostly at 5-6 postnatal days (40.7%). Identified risk factors of hospital readmission due to jaundice were spontaneous normal vaginal delivery (43.4% vs. 1.8%), younger maternal age ($29.8{\pm}3.4$ yrs vs. $32.1{\pm}4.2$ yrs), and lower maternal pregnancy complication (28.3% vs. 50%). Conclusion : Identified risk factors of hospital readmission were breastfeeding, short duration of nursery stay, firstborn, and maternal pregnancy complication. Jaundice accounted for the majority of hospital readmissions, and the age at hospital readmission was $6.2{\pm}3.6$ postnatal days.

• Journal of Korean Critical Care Nursing
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• v.12 no.1
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• pp.36-45
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• 2019

Purpose : The purpose of this study was to identify status and characteristics of patients who have been readmitted to ICU, and to analyze risk factors associated with the readmission to ICU within 48hours. Method: Data were collected from patient's electronic medical reports from one hospital in B city. Participants were 2,937 patients aged 18 years old or older admitted to the ICU. Data were analyzed using odd ratios (ORs) from multivariate logistic regressions. Results: 2.2% of the 2,937 patients were early readmitted to ICU. Risk factors for early readmission to ICU were existence of respiratory disease, use of mechanical ventilator, and duration of hospitalization (longer). Conclusion: The assessment on the respiratory system of the patient who will be discharged from the ICU was identified as an important nursing activity. Therefore, the respiratory system management and education should be actively conducted. In addition, early ICU readmission may be prevented and decreased if a link was built to share the information on patient condition between the ICU and general wards.