Background : Review of readmissions in health care facilities is necessary from the viewpoint of both economic concerns and quality considerations. To identify the characteristics, factors, and causes of multiple admissions in comparison with single admissions is essential for both providers and payers in order to assure quality care and efficient use of medical resources. Methods: All discharges from an university hospital in 1993 were analyzed, and the characteristics of multiple admissions were identified and were compared with those of single admissions by using the data bases of the discharge abstract and billing for reimbursement. Medical records of patients readmitted within 6 days after the previous discharge were reviewed to identify the reasons for such prompt readmission. Statistical analysis between groups of patients were performed by using SPSS. Result : The mean age was higher in multiple admissions than those of single admissions, and the average length of stay was longer in multiple admissions than in single admissions. The hospital cost per day is higher in single admissions while the cost per case is higher in multiple admissions. More than half of readmissions occurred within one month after the preceding discharges. Above 15% of the readmission within 6 days after the preceding discharges seemed to have close relationship with quality of care provided during the preceding hospitalization. The death rate of the patients readmitted within 6 days was the highest in comparison with multiple admissions and single admissions. Conclusion : Potential preventable readmissions should be reduced by identifying characteristics of multiple admissions, especially unplanned readmission, and by applying some interventions such as standard predischarge assessment or careful follow-up care after discharge for high risk readmission groups. As the results of these efforts, health care facilities could achieve quality improvement in medical care, and effective use of hospital resources.
Background: If the duration of mechanical ventilation (MV) is related with the intensive care unit (ICU) readmission must be clarified. The purpose of this study was to elucidate if prolonged MV duration increases ICU readmission rate. Methods: The present observational cohort study analyzed national healthcare claims data from 2006 to 2015. Critically ill patients who received MV in the ICU were classified into five groups according to the MV duration: MV for <7 days, 7-13 days, 14-20 days, 21-27 days, and ≥28 days. The rate and risk of the ICU readmission were estimated according to the MV duration using the unadjusted and adjusted analyses. Results: We found that 12,929 patients had at least one episode of MV in the ICU. There was a significant linear relationship between the MV duration and the ICU readmission (R2=0.85, p=0.025). The total readmission rate was significantly higher as the MV duration is prolonged (MV for <7 days, 13.9%; for 7-13 days, 16.7%; for 14-20 days, 19.4%; for 21-27 days, 20.4%; for ≥28 days, 35.7%; p<0.001). The analyses adjusted by covariables and weighted with the multinomial propensity scores showed similar results. In the adjusted regression analysis with a Cox proportional hazards model, the MV duration was significantly related to the ICU readmission (hazard ratio, 1.058 [95% confidence interval, 1.047-1.069], p<0.001). Conclusion: The rate of readmission to the ICU was significantly higher in patients who received longer durations of the MV in the ICU. In the clinical setting, closer observation of patients discharged from the ICU after prolonged periods of MV is required.
Purpose: This study identifies the factors influencing unplanned readmissions among participants of the medical aid community care pilot program. Methods: This descriptive study analyzed data from 1,013 participants in a medical aid community care pilot program. Data were analyzed using multiple logistic regression analysis. Results: The presence of mental illness, injury-related conditions, long-term care grades, and activities of daily living scores are key factors influencing the likelihood of readmission. In particular, the presence of a mental disorder or an injury-related condition increased the probability of readmission, whereas individuals with long-term care grades 1~2 showed a decreased likelihood of readmission. Conclusion: This study emphasizes the importance of enhancing the management of mental and injury-related conditions, effective utilization of long-term care services, and improvement of ADL scores to reduce readmission. These findings offer crucial insights for enhancing the efficiency of home medical care benefit programs and sustainable expansion of services.
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.
Objectives: Dehospitalization of long-term inpatients with schizophrenia can be difficult because of complex factors such as chronic symptoms and low family and social support. The aim of this study was to identify factors related to dehospitalization and readmission of long-term inpatients with schizophrenia. Methods: This retrospective study reviewed the medical records of patients discharged from a psychiatric hospital in Yongin, South Korea, from February 1, 2016, to July 31, 2017. Patients who were hospitalized for over 3 months were divided into two groups: readmission (n=47) and dehospitalization (n=55). Differences in sociodemographic and clinical factors were analyzed between the two groups. Results: Regarding sociodemographic characteristics, female sex, familylessness, discharge to nursing homes, and discharge after symptom improvement were more prevalent in the dehospitalization group, whereas male sex, having a sibling as next of kin, and discharge because of other problems were more prevalent in the readmission group. Among clinical characteristics, hospital stay was longer in the readmission group. Conclusion: In this study, patients without a family showed a tendency to not be readmitted when they were discharged to nursing homes after symptom improvement. Expansion of social welfare support may encourage dehospitalization of long-term inpatients with schizophrenia.
This study was to compare the functional status. complication and readmission rates. and client satisfaction with nursing care of home-based care and hospital-based care for clients with Coronary Artery Bypass Graft. Raw data were collected by interviewing and reviewing charts of 41 clients with Coronary Artery Bypass Graft between June 2001 and July 2002 at an university hospital located in Seoul. Korea. Out of 41 clients. 15 were in home care group and 26 were in hospitalization group. The baseline characteristics of the groups were almost identical. Mean age was 61.7 and 75.6% of clients being male. For home care group. the data collection was made at discharge and at termination of home care. and for hospitalization group. at discharge and at the first visit of outpatient department. Complication and readmission rates were investigated at one month after operation. Collected data were then analysed by conducting Chi-square test. Wilcoxon rank sum test. and Wilcoxon signed ranks test with SPSS program. The level of significance was .05. The results of the study are summarized as follows: 1. Postoperative length of stay of the home care group was shorter than that of hospitalization group by 1. 14 days(8.45 days vs. 9.59 days). On average. 1.8 home visits per client were observed. 2. The functional status (Barthel Index) at the termination of home care was significantly increased from that at discharge. For hospitalization group. a significant increase was observed between the functional status at the discharge and that at the first visit of outpatient department. The differencies in incremental of the scores. between the groups. were however not significant. 3. Complication and readmission rates; no statistically significant difference between the groups was observed. 4. The client satisfaction with nursing care (CSS) at termination of home care was significantly higher than that at hospital discharge. In conclusion. the outcomes of the analysis suggest that the home care benefits clients with Coronary Artery Bypass Graft. Client satisfaction with nursing care rises at termination of home care as compare to that measured at hospital discharge. Meanwhile. there was no significant differences in functional status. and complication and readmission rates. Further. home care reduced the length of stay in hospital.
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.
Objective: The objective of this study is to examine the association between process quality of inpatient care and risk-adjusted, thirty-day potentially preventable hospital readmission (PPR) rates. Data Sources/Study Setting: This was an observational cross-sectional study of nonfederal acute-care hospitals located in two states California and Florida, discharging Medicare patients with a principal discharge diagnosis of heart failure, acute myocardial infarction, or pneumonia January through December 31, 2007. Data were obtained from the Healthcare Cost and Utilization Project State Inpatient Database of the Agency for Healthcare Research and Quality, Centers for Medicare and Medicaid Services Hospital Compare database, and the American Hospital Association Annual Survey of Hospitals. Study Design: The dependent variable of this study is condition-specific, risk-adjusted, thirty-day potentially preventable hospital readmission (PPR). 3M's PPR software was utilized to determine whether a readmission was potentially preventable. The independent variable of this study is hospital performance for process quality of inpatient care, measured by hospital adherence to recommended processes of care. We used multivariate hierarchical logistic models, clustered by hospitals, to examine the relationship between condition-specific, risk-adjusted, thirty-day PPR rates and process quality of inpatient care, after taking clinical and socio-demographic characteristics of patients and structural and operational characteristics of hospitals into account. Findings: Better performance on the process quality metrics was associated with better patient outcome (i.e., low thirty-day PPR rates) in pneumonia, but not generally in two cardiovascular conditions (i.e., heart failure and acute myocardial infarction). Practical Implication: Adherence to the process quality metrics currently in use by CMS is associated with risk-adjusted, thirty-day PPR rates for patients with pneumonia, but not with cardiovascular conditions. More evidence-based process quality metrics closely linked to 30-day PPR rates, particularly for cardiovascular conditions, need to be developed to serve as a guideline to reduce potentially preventable readmissions.
Background : Because unplanned readmissions to intensive care unit(ICU)might be related with undesirable patient outcomes, we investigated the pattern of and reason for unplanned ICU readmission to provide baseline data for reducing unplanned returns to ICU. Methods : The subjects included all patients who readmitted to ICU during the same hospitalization at a tertiary referral hospital between January 1st and June 30th 2002. Quality improvement(QI) nurse collected the data through medical records and a medical director reviewed the data collected. Results : 1) The average unplanned ICU readmission rate was 5.6%(gastroenterology 14.6%, pediatrics 12.7%, pulmonology 11.9%, neurosurgery 6.3%, general surgery 5.3%, chest surgery 3.9%, and cardiology 3.3%). 2) Among the unplanned readmissions, more than 50% of cases were from patients older than 60 years, and the main categories of diagnose at hospital admission were neurologic disease(29.9%) and cardiovascular disease(27.6%). 3) Of unplanned ICU readmissions, 41.8% had recurrence of the initial problems, 44.8% had occurrence of new problems. And 9.7% required post-operative care after unplanned operations. 4) The most common cause responsible for unplanned ICU readmission were respiratory problem(38.3%) and cardiovascular problem(14.3%). 5) About 40% of unplanned ICU readmission occurred within 3 days after ICU discharge. 6) Average length of stay of the readmitted patients to ICUs were much longer than that of non-readmitted patients. 7) Hospital mortality rate was much higher for unplanned ICU readmitted patients(23.6%) than for non-readmitted patients(1.5%) (P<0.001). Conclusions : This study showed that the unplanned ICU readmitted patients had poor outcomes(high morality and increased length of stay). In addition study results suggest that more attention should be paid to patients in ICU with poor respiratory function or elderly patients, and careful clinical decisions are required at discharged from ICU to general ward.
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.
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