OBJECTIVES: To analyze the multimorbidity patterns and core diseases among hospitalized patients in different age groups and to explore the impacts of multimorbidity patterns on hospitalization costs. METHODS: Electronic medical records of adult inpatients (aged ≥18 years) from Ningbo Medical Center Lihuili Hospital between January 1, 2018, and June 30, 2023 were collected. The multimorbidity status involving 53 specific diseases was analyzed across different age groups. Association rule mining was used to identify common multimorbidity patterns. Complex network analysis was used to identify core diseases within the multimorbidity networks. Generalized estimating equations (GEE) were used to analyze the impact of different multimorbidity patterns on hospitalization costs. RESULTS: The prevalence of multimorbidity among the 359 402 adult inpatients was 38.51%, with higher rates observed in males (43.60%) and elderly patients (58.29%). Association rule mining identified 15 common multimorbidity patterns, which exhibited differences across age groups. The most prevalent multimorbidity pattern overall was "diabetes→hypertension" (support=7.04%, confidence=62.17%, lift=2.17). In the young adult group, the most prevalent pattern was "dyslipidemia→chronic liver disease" (support=1.19%, confidence=53.17%, lift=6.04). In the middle-aged group, it was "diabetes→hypertension" (support=4.84%, confidence=50.28%, lift=2.15). In the elderly group, it was "coronary heart disease, diabetes→hypertension" (support=2.38%, confidence=77.43%, lift=1.63). Complex network analysis revealed that the core diseases within multimorbidity networks differed across age groups. The core disease identified in the young adult group was chronic liver disease (degree centrality=50, betweenness centrality=0.055, closeness centrality=0.963). Core diseases in the middle-aged group included hypertension, chronic liver disease, and diabetes (all with degree centrality=52, betweenness centrality=0.022, closeness centrality=1.000). Core diseases in the elderly group comprised hypertension, diabetes, malignant tumors, chronic liver disease, thyroid disease, anemia, and arrhythmia (all with degree centrality=52, betweenness centrality=0.009, closeness centrality=1.000). Generalized estimating equations analysis indicated that, most multimorbidity patterns were significantly associated with increased hospitalization costs. However, the magnitude of cost increase varied across different multimorbidity patterns. Specifically, hospitalization costs for patients with patterns such as "heart failure→hypertension", "stroke→hypertension", "malignant tumor, diabetes→hypertension", "stroke, diabetes→hypertension", and "diabetes, heart failure→hypertension" were more than double those of patients without any target diseases. CONCLUSIONS Multimorbidity patterns and core diseases among hospitalized patients differ significantly across age groups, and different patterns exert varying impacts on hospitalization costs. These findings underscore the necessity for age-stratified and multimorbidity pattern specific management strategies.
Humans ; Multimorbidity ; Male ; Hospitalization/economics* ; Female ; Aged ; Middle Aged ; Adult ; Age Factors ; Young Adult ; Adolescent ; Diabetes Mellitus/epidemiology* ; Electronic Health Records ; Aged, 80 and over ; Hospital Costs ; China/epidemiology* ; Hypertension/economics* ; Liver Diseases/epidemiology*

INTRODUCTION: Hospitalisations can pose hazards and may not be an appropriate care setting for frail nursing home (NH) residents. Few studies have quantified the extent of NH resident hospitalisations in Singapore, hence we aimed to address this knowledge gap by studying characteristics of unplanned hospitalisations over a 1-year period. METHOD: This was a retrospective cohort study of 9922 subsidised residents across 59 NHs in Singapore, with analysis using administrative healthcare data. Key measures included inpatient admission and emergency department visit rates, final discharge diagnoses and estimated costs. We examined correlates of inpatient admissions with a multivariable zero-inflated negative binomial regression model incorporating demogra-phics, institutional characteristics and Charlson Comorbidity Index. RESULTS: There were 6620 inpatient admissions in 2015, equivalent to 2.23 admissions per 1000 resident days, and the majority were repeat admissions (4504 admissions or 68.0%). Male sex (incidence rate ratio [IRR] 1.23), approaching end-of-life (IRR 2.14), hospitalisations in the past year (IRR 2.73) and recent NH admission within the last 6 months (IRR 1.31-1.99) were significantly associated with inpatient admission rate. Top 5 discharge diagnoses were lower respiratory tract infections (27.3%), urinary tract infection (9.3%), sepsis (3.1%), cellulitis (1.9%) and gastroenteritis (1.1%). We estimated the total system cost of admissions of subsidised residents to be SGD40.2 million (USD29.1 million) in 2015. CONCLUSION We anticipate that unplanned hospitali-sation rate will increase over time, especially with an increasing number of residents who will be cared for in NHs. Our findings provide a baseline to inform stakeholders and develop strategies to address this growing problem.
Humans ; Singapore ; Nursing Homes/economics* ; Retrospective Studies ; Male ; Female ; Hospitalization/statistics & numerical data* ; Aged ; Aged, 80 and over ; Emergency Service, Hospital/statistics & numerical data* ; Information Storage and Retrieval ; Homes for the Aged/economics* ; Frail Elderly/statistics & numerical data*

Driven by the development of medical technology and the increasing workload of hospitals, high-cost medical consumables are playing an ever more important role. Operating theatres, as the biggest consumer of high-cost consumables, cannot afford to manage the consumables in a detailed manner under the traditional approaches of management. This article elaborates on the complete management of the high-cost consumables with the help of bar code technology. Information management of high-cost consumables has brought about higher work efficiency, streamlined management process, greater medical safety and higher economic viability of hospitals.
Costs and Cost Analysis ; Electronic Data Processing ; Equipment and Supplies, Hospital ; economics ; Operating Rooms

OBJECTIVETo study the clinical features and hospital costs of neonatal sepsis caused by Gram-positive (G(+)) bacteria, Gram-negative (G(-)) bacteria, and fungi.

METHODSThe clinical data of 236 neonates with sepsis were analyzed retrospectively. Among these neonates, 110 had sepsis caused by G(+) bacteria, 68 had sepsis caused by G(-) bacteria, and 58 had sepsis caused by fungi.

RESULTSFull-term infants accounted for 62% and 38%, respectively, in the G(+) bacteria and G(-) bacteria groups, and preterm infants accounted for 86% in the fungi group. The neonates in the fungi group had significantly lower gestational ages and birth weights than those in the G(+) and G(-) bacteria groups (P<0.05). Compared with the G(+) bacteria group, the G(-) bacteria and fungi groups had significantly higher rates of multiple births (P<0.0125). Compared with the G(+) bacteria and fungi groups, the rates of premature rupture of membranes >18 hours, grade III amniotic fluid contamination, and early-onset sepsis in the G(-) bacteria group were significantly higher (P<0.0125). Compared with the G(-) bacteria and fungi groups, the G(+) bacteria group showed significantly higher rates of abnormal body temperature, omphalitis or herpes as the symptom suggesting the onset of such disease (P<0.0125). The fungi group had significantly higher incidence rates of apnea and low platelet count than the G(+) and G(-) bacteria groups (P<0.0125). The comparison of length of hospital stay and total hospital costs between any two groups showed that the fungi group had a significantly longer hospital stay and significantly higher total hospital costs than the G(+) and G(-) bacteria groups (P<0.05).

CONCLUSIONSSepsis caused by G(+) bacteria mainly occurs in full-term infants, and most cases of sepsis caused by G(-) bacteria belong to the early-onset type. Sepsis caused by fungi is more common in preterm infants and low birth weight infants, and has high incidence rates of apnea and low platelet count, as well as a longer hospital stay and higher hospital costs than sepsis caused by bacteria.

Bacteremia ; economics ; Female ; Fungemia ; economics ; Hospital Costs ; Humans ; Infant, Newborn ; Infant, Premature ; Length of Stay ; Male

PURPOSE: Aim of this study is to investigate the characteristics and performance of colorectal-anal specialty vs. general hospitals for South Korean inpatients with colorectal-anal diseases, and assesses the short-term designation effect of the government's specialty hospital. MATERIALS AND METHODS: Nationwide all colorectal-anal disease inpatient claims (n=292158) for 2010-2012 were used to investigate length of stay and inpatient charges for surgical and medical procedures in specialty vs. general hospitals. The patients' claim data were matched to hospital data, and multi-level linear mixed models to account for clustering of patients within hospitals were performed. RESULTS: Inpatient charges at colorectal-anal specialty hospitals were 27% greater per case and 92% greater per day than those at small general hospitals, but the average length of stay was 49% shorter. Colorectal-anal specialty hospitals had shorter length of stay and a higher inpatient charges per day for both surgical and medical procedures, but per case charges were not significantly different. A "specialty" designation effect also found that the colorectal-anal specialty hospitals may have consciously attempted to reduce their length of stay and inpatient charges. Both hospital and patient level factors had significant roles in determining length of stay and inpatient charges. CONCLUSION: Colorectal-anal specialty hospitals have shorter length of stay and higher inpatient charges per day than small general hospitals. A "specialty" designation by government influence performance and healthcare spending of hospitals as well. In order to maintain prosperous specialty hospital system, investigation into additional factors that affect performance, such as quality of care and patient satisfaction should be carried out.
Adult ; Aged ; Anus Diseases/economics/*therapy ; Colonic Diseases/economics/*therapy ; Efficiency, Organizational ; Female ; Hospital Charges/*statistics & numerical data ; Hospitals, General/organization & administration ; Hospitals, Special/organization & administration ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Male ; Middle Aged ; Outcome Assessment (Health Care)/economics/methods/*statistics & numerical data ; Rectal Diseases/economics/*therapy ; Republic of Korea

PURPOSE: This study compared in-hospital mortality within 30 days of admission, lengths of stay, and inpatient charges among patients with heart failure admitted to public and private hospitals in South Korea. MATERIALS AND METHODS: We obtained health insurance claims data for all heart failure inpatients nationwide between November 1, 2011 and May 31, 2012. These data were then matched with hospital-level data, and multi-level regression models were examined. A total of 8406 patients from 253 hospitals, including 31 public hospitals, were analyzed. RESULTS: The in-hospital mortality rate within 30 days of admission was 0.92% greater and the mean length of stay was 1.94 days longer at public hospitals than at private hospitals (mortality: 5.18% and 4.26%, respectively; LOS: 12.08 and 10.14 days, respectively). The inpatient charges were 11.4% lower per case and 24.5% lower per day at public hospitals than at private hospitals. After adjusting for patient- and hospital-level confounders, public hospitals had a 1.62-fold higher in-hospital mortality rate, a 16.5% longer length of stay, and an 11.7% higher inpatient charge per case than private hospitals, although the charges of private hospitals were greater in univariate analysis. CONCLUSION: We recommend that government agencies and policy makers continue to monitor quality of care, lengths of stay in the hospital, and expenditures according to type of hospital ownership to improve healthcare outcomes and reduce spending.
Aged ; Female ; Heart Failure/economics/*mortality/therapy ; Hospital Charges/*statistics & numerical data ; Hospital Mortality ; Hospitalization/economics ; Hospitals, Private/*economics ; Hospitals, Public/*economics ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Outcome Assessment (Health Care)/economics ; Patient Discharge/economics/statistics & numerical data ; Republic of Korea/epidemiology ; Survival Analysis ; Time Factors

PURPOSE: This study compared in-hospital mortality within 30 days of admission, lengths of stay, and inpatient charges among patients with heart failure admitted to public and private hospitals in South Korea. MATERIALS AND METHODS: We obtained health insurance claims data for all heart failure inpatients nationwide between November 1, 2011 and May 31, 2012. These data were then matched with hospital-level data, and multi-level regression models were examined. A total of 8406 patients from 253 hospitals, including 31 public hospitals, were analyzed. RESULTS: The in-hospital mortality rate within 30 days of admission was 0.92% greater and the mean length of stay was 1.94 days longer at public hospitals than at private hospitals (mortality: 5.18% and 4.26%, respectively; LOS: 12.08 and 10.14 days, respectively). The inpatient charges were 11.4% lower per case and 24.5% lower per day at public hospitals than at private hospitals. After adjusting for patient- and hospital-level confounders, public hospitals had a 1.62-fold higher in-hospital mortality rate, a 16.5% longer length of stay, and an 11.7% higher inpatient charge per case than private hospitals, although the charges of private hospitals were greater in univariate analysis. CONCLUSION: We recommend that government agencies and policy makers continue to monitor quality of care, lengths of stay in the hospital, and expenditures according to type of hospital ownership to improve healthcare outcomes and reduce spending.
Aged ; Female ; Heart Failure/economics/*mortality/therapy ; Hospital Charges/*statistics & numerical data ; Hospital Mortality ; Hospitalization/economics ; Hospitals, Private/*economics ; Hospitals, Public/*economics ; Humans ; Inpatients/*statistics & numerical data ; Length of Stay/economics/*statistics & numerical data ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Outcome Assessment (Health Care)/economics ; Patient Discharge/economics/statistics & numerical data ; Republic of Korea/epidemiology ; Survival Analysis ; Time Factors

Expounding the status of the current domestic medical equipment maintenance management, and puting forward the strategic thinking of medical maintenance for the challenges of equipment maintenance management in the hospital. This discussion can be performed to control the maintenance costs of hospital effectively, increase the income and social benefits of the hospital.
Costs and Cost Analysis ; Equipment and Supplies, Hospital ; Maintenance and Engineering, Hospital ; economics ; Materials Management, Hospital ; economics

Medical equipment procurement authority provides sunshine supervisory channel for hospital staff by power operation monitoring software, which could operate in the open. The exercise of purchase rights should upload the content in accordance with the provisions of "internal control point". It could strengthen the procurement process control and ensure the orderly supervision links to further regulate bidding and purchasing behavior, which can prevent the exercise of uncontrolled power.
Purchasing, Hospital ; Surgical Equipment ; economics

Under the background of the new medical reform, a large variety of traditional Chinese medicine from complicated sources, Chinese traditional medicine of actor of true and false of the quality directly affect the drug safety and clinical efficacy, but also relate to the social and economic benefits of hospital. Along with the development of the modern management of medical institutions and drug circulation circulation system reform in our country, the hospital drug inventory, supply and management work is an important topic for the pharmaceutical trading. However, there is always contradiction, dispensary need to supple pharmacy, in order to satisfy the demands of hospital patients with normal diagnosis and treatment work. However, if the drug inventory is too much, not only increases the drug monitoring problem, at the same time, but also causes storage costs rise. Therefore, completing scientific and reasonable storage and management becomes urgent problems at present. Wherefore, our country administration of traditional Chinese medicine in 2007 promulgated the "Chinese traditional medicine yinpian management norms in hospital", aims to standardize management of Chinese traditional medicine quality and improve the safety of drugs. The author through looking up information and visiting survey, to understand the currently existing problems, and summarizes the literature inland and abroad in recent years Chinese medicine drug inventory management work experience, in view of status quo of Chinese medicine inventory management in China, put forward the solution. To guarantee TCM pharmacy management more standardized, more standard, to adapt to the new reform of Chinese traditional medicine industry, improve the management level of hospital, defend the hospital's reputation and the patient's interests.
Drugs, Chinese Herbal ; supply & distribution ; Humans ; Inventories, Hospital ; economics ; legislation & jurisprudence ; Medicine, Chinese Traditional ; economics ; standards ; Quality Control ; Safety