• Health Policy and Management
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• v.19 no.4
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• pp.18-32
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• 2009

The goal of this study was to predict the health outcomes of lung cancer surgery based on the Charlson comorbidity index (CCI). An attempt was likewise made to assess the prognostic value of such data for predicting mortality, survival rate, and length of hospital stay. A medical-record review of 389 patients with non-small-cell lung cancer was performed. To evaluate the agreement, the kappa coefficient was tested. Logistic-regression analysis was also conducted within two years after the surgery to determine the association of CCI with death. Survival and multiple-regression analyses were used to evaluate the relationship between CCI and the hospital care outcomes within two-year survival after lung cancer surgery and the length of hospital stay. The results of the study showed that CCI is a valid prognostic indicator of two-year mortality and length of hospital stay, and that it shows the health outcomes, such as death, survival rate, and length of hospital stay, after the surgery, thus enabling the development and application of the methodology using a systematic and objective scale for the results.

• Nutrition Research and Practice
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• v.17 no.2
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• pp.218-227
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• 2023

BACKGROUND/OBJECTIVES: Malnutrition during hospitalization is linked to increased morbidity and mortality, but there are insufficient studies observing clinical factors contributing to weight loss during hospitalization in Indonesia. This study was therefore undertaken to determine the rate of weight loss during hospitalization and the contributing factors. SUBJECTS/METHODS: This was a prospective study involving hospitalized adult patients aged 18-59 yrs, conducted between July and September 2019. Body weight measurement was taken at the time of admission and on the last day of hospitalization. The factors studied were malnutrition at admission (body mass index < 18.5 kg/m²), immobilization, depression (Beck Depression Inventory-II Indonesia), polypharmacy, inflammatory status (neutrophil-lymphocytes ratio; NLR), comorbidity status (Charlson Comorbidity Index; CCI), and length of stay. RESULTS: Totally, 55 patients were included in the final analysis, with a median age of 39 (18-59 yrs) yrs. Of these, 27% had malnutrition at admission, 31% had a CCI score > 2, and 26% had an NLR value of ≥ 9. In all, 62% presented with gastrointestinal symptoms, and depression was documented in one-third of the subjects at admission. Overall, we recorded a mean weight loss of 0.41 kg (P = 0.038) during hospitalization, with significant weight loss observed among patients hospitalized for 7 days or more (P = 0.009). The bivariate analysis revealed that inflammatory status (P = 0.016) was associated with in-hospital weight loss, while the multivariate analysis determined that the contributing factors were length of stay (P < 0.001) and depression (P = 0.019). CONCLUSIONS: We found that inflammatory status of the patient might influence the incidence of weight loss during hospitalization, while depression and length of stay were independent predictors of weight loss during hospitalization.

• The Korean Journal of Emergency Medical Services
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• v.1 no.1
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• pp.42-53
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• 1997

To offer basic data about the influential factors on patient's Satisfaction level for emergency medical services the authors were performed this study in 60 patients visited to emergency room of third stage general hospital in Taejeon city. Data were collected through interview with patients by using a 15 items' questionaire according to care subscale, teaching subscale of Likert's five stage quantitative scale and the tools developed by Barbara Davis. The data were analyzed by using the SPSS/PC computerized program for mean, standard deviation, percentage, ANOVA, t-test, and pearson correlation. The results are as followings ; 1. Satisfaction of emergency medical service were showed in care area, but not showed in teaching and total area 2. Satisfaction of sociodemographic characteristics were a statistically significant difference only marriage, that were the higher in marriaged than single(P<.0.05). 3. In the emergency situation characteristics the satisfaction accordings to the visit cause were lower in accident than disease group, the reason of hospital selection were in order trust, introduction group, distance, traffic, kinds, and score of satisfaction were showed each of 43.47, 51.27(P<.001), the transportation vehicle was the 119, hospital ambulance group. but were not a satistically significant difference. 4. The negative correlation was observed between satisfaction and the length of stay at ER and the longer length of stay at ER was showed the lower satisfaction. But the positive correlation was observed between satisfacton and the arrival time, patients who arrived ER from 6:00P.M. to midnight were more satisfied than patients who arrived other time. 5. The length of stay at ER was significantly different according to the reason of hospital selection, the reason of ER selection, the visitant cause and hopital decisioner. Especially the length of stay was much longer in accident group and unconscious group.

• Health Policy and Management
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• v.20 no.2
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• pp.17-39
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• 2010

This study explored the impact on the DRG(Diagnosis-Related Groups)-based prospective payment system(PPS) operated by voluntarily participation providers. We analyzed whether the provides in the DRG-based PPS and in traditional fee-for-service(FFS) systems showed different the degree of variation in length of stay(LOS), and the providers' behaviors depending on the differences according to the varied participation periods. The study sample included all data 2,061 institutions participated in DRG-PPS in 2007 and all cases 473 FFS institutions which reported fee-for-service claims were reviewed same diagnosized diseases at least 10cases claims during three months We compared the differences of the LOS among health care institutions according to their type, region, and size. For DRGs showing significant differences in LOS, multiple regression analyses were performed to find out factors associated with LOS and interaction effect participation and hospital types or participation periods. The result provide the evidence that the DRG payment system operated by volunteering health care institutions had impact on resources use, which can reduce the institutions' the length of stay. While some DRGs had no correlation between participation periods and LOS, other DRGs, DRG participation period reversely linear relationship with LOS. That is to say, the longer participation year, the less reducing the LOS. These results support the future expansion of the DRG-based PPS plan to all health care services in Korea.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.221-233
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• 2013

This study aims to develop the severity-adjusted length of stay(LOS) model for acute stroke patients using data from the hospital discharge survey and propose management of length of stay(LOS) for acute stroke patients and using for Hospital management. The dataset was taken from 23,134 database of the hospital discharge survey from 2004 to 2009. The severity-adjusted LOS model for the acute stroke patients was developed by data mining analysis. From decision making tree model, the main reasons for LOS of acute stroke patients were acute stroke type. The difference between severity-adjusted LOS from the decision making tree model and real LOS was compared and it was confirmed that insurance type and bed number of hospital, location of hospital were statistically associated with LOS. And to conclude, hospitals should manage the LOS of acute stroke patients applying it into the medical information system.

• Health Policy and Management
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• v.26 no.4
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• pp.343-351
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• 2016

Background: This study aims to analyze the effects of insurance types on the medical service uses for heart failure inpatients using propensity score matching (PSM). Methods: 2014 National inpatient sample based on health insurance claims data was used in the analysis. PSM was applied to control factors influencing the service uses except insurance types. Negative binomial regression was used after PSM to analyze factors that had influences on the service uses among inpatients. Subjects were divided by health insurance type, national health insurance (NHI) and medical aid (MA). Total charges and length of stay were used to represent the medical service uses. Covariance variables in PSM consist of sociodemographic characteristics (gender, age, Elixhauser comorbidity index) and hospital characteristics (hospital types, number of beds, location, number of doctors per 50 beds). These variables were also used as independent variables in negative binomial regression. Results: After the PSM, length of stay showed statistically significant difference on medical uses between insurance types. Negative binomial regression provided that insurance types, Elixhauser comorbidity index, and number of doctors per 50 beds were significant on the length of stay. Conclusion: This study provided that the service uses, especially length of stay, were differed by insurance types. Health policy makers will be required to prepare interventions to narrow the gap of the service uses between NHI and MA.

• Journal of Korean Biological Nursing Science
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• v.17 no.4
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• pp.315-323
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• 2015

Purpose: This study compared the effect of music and noise blocking on the vital signs, postoperative pain, analgesic use, length of stay in the Post Anesthesia Care Unit (PACU) and satisfaction after a laparoscopic colectomy. Methods: This randomized controlled trial was performed in a 555-bed National Cancer Center, from February 13 through May 31, 2012. Subjects consisted of 69 patients who underwent a laparoscopic colectomy under general anesthesia, and were recruited by informed notices. The inclusion criteria were patients between the ages of 35-75, with an American Society Anesthesiologist physical classification I or II. The subjects were randomly allocated to three groups; music therapy group (MTG), noise blocking group (NBG) and control group (CG). Collected data were analyzed using Repeated measures ANOVA, one-way ANOVA and Kruskal-Wallis test through IBM SPSS (Version 19.0). Results: There were no significant differences in vital signs among the three groups. Postoperative pain in MTG (p<.05) and NBG (p<.05) was significantly decreased compared to CG. The amount of analgesics (p=.030) and length of stay at PACU (p=.021) in MTG was significantly decreased compared to NBG or CG; satisfaction in MTG and NBG was significantly higher compared to CG. Conclusion: Music seems to reduce postoperative pain, the amount of analgesics, and the length of stay at PACU. Therefore, music therapy is considered to be included in nursing intervention for postoperative patients at PACU.

• Health Policy and Management
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• v.25 no.1
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• pp.3-10
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• 2015

Background: Previous studies showed differences in healthcare utilization among insurance types. This study aimed to analyze the difference in healthcare utilization for percutaneous transluminal coronary angioplasty inpatients by insurance types after controlling factors affecting healthcare utilization using propensity score matching (PSM). Methods: The 2011 national inpatient sample based on health insurance claims data was used for analysis. PSM was used to control factors influencing healthcare utilization except insurance types. Length of stay and total charges were used as healthcare utilization variables. Patients were divided into National Health Insurance (NHI) and Medical Aid (MA) patients. Factors representing inpatients (gender, age, admission sources, and Elixhauser comorbidity index) and hospitals (number of doctors, number of beds, and location of hospitals) were used as covariates in PSM. Results: Tertiary hospitals didn't show significant difference in length of stay and total charges after PSM between two insurance types. However, MA patients showed significantly longer length of stay than that of NHI patients after PSM in general hospitals. Multivariate regression analysis provided that admission sources, Elixhauser comorbidity index, insurance types, number of doctors, and location of hospitals (province) had significant influences on the length of stay in general hospitals. Conclusion: Study results provided evidences that healthcare utilization was differed by insurance types in general hospitals. Health policy makers will need to prepare interventions to influence the healthcare utilization differences between insurance types.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.271-282
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• 2021

This study was conducted to develop a model for predicting the length of stay for premature infants through machine learning. For the development of this model, 6,149 cases of premature infants discharged from the hospital from 2011 to 2016 of the discharge injury in-depth survey data collected by the Korea Centers for Disease Control and Prevention were used. The neural network model of the initial hospitalization was superior to other models with an explanatory power (R²) of 0.75. In the model added by converting the clinical diagnosis to CCS(Clinical class ification software), the explanatory power (R²) of the cubist model was 0.81, which was superior to the random forest, gradient boost, neural network, and penalty regression models. In this study, using national data, a model for predicting the length of stay for premature infants was presented through machine learning and its applicability was confirmed. However, due to the lack of clinical information and parental information, additional research is needed to improve future performance.

• Health Policy and Management
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• v.15 no.3
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• pp.94-113
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• 2005

The purpose of this study was to determine the level of appropriateness in hospital stays and factors influencing inappropriate hospital stays. The study was conducted at fifteen general care units in a tertiary university hospital. Appropriateness of hospital stay was assessed using Appropriateness Evaluation Protocol by trained head nurses. The total of 447 patient records were reviewed. Among them, 352 patient data were included in the final data set. A unit of observation was patient day. A rate of appropriate hospital stay was calculated per patient as a unit of analysis. Multiple regression analysis was performed to determine the factors affecting inappropriate hospital stay. The eighty-three percent (2030/2651) of hospital stays were evaluated as appropriate. There were significant differences in appropriateness of hospital stay according to patient's age, type of health insurance, medical specialty, and length of stay(p<0.05). In the multiple regression analysis, medical speciality was the most significant factor to predict the inappropriate hospital stay. The study showed a substantial proportion of hospital stay was found to inappropriate. Level of appropriateness was significantly different from medical specialty. Interdepartmental approach should be required to coordinate and improve appropriate resource utilization.