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*

OBJECTIVE: To evaluate the effect of palliative care on drug use, medical service utilization and medical expenditure of patients with advanced cancer. METHODS: A cohort of patients including pal-liative care and standard care was constructed using the medical records of the patients in Peking University Cancer Hospital from 2018 to 2020, and coarsened exact matching was used to match the two groups of patients. The average monthly opioid consumption, hospitalization rate, intensive care unit (ICU) rate and operation rate, and the average monthly total cost were selected to evaluate drug use, medical service utilization and medical expenditure. Chi-square test and Wilcoxon signed rank test were used to compare the differences between the two groups before and after exposure and the change in the palliative care group. The net impact of palliative care on the patients was calculated using the difference-in-differences analysis. RESULTS: In this study, 180 patients in the palliative care group and 3 101 patients in the stan-dard care group were finally included in the matching, and the matching effect of the two groups was good (L₁ < 0.1). Before and after exposure, the average monthly opioid consumption in the palliative care group was significantly higher than that in the standard care group (Before exposure: 0.3 DDD/person-month vs. 0.1 DDD/person-month, P < 0.01; After exposure: 0.7 DDD/person-month vs. 0.1 DDD/person-month, P < 0.01; DDD refers to defined daily dose), palliative care significantly increased the average monthly opioid consumption in the patients (0.3 DDD/person-month, P < 0.01). The hospitalization rate (48.9% vs. 74.3%, P < 0.01) and operation rate (3.9% vs. 8.8%, P < 0.01) of the patients in palliative care group were significantly lower than those in standard care group, and the ICU rate became similar between the two groups (1.1% vs. 1.6%, P=0.634). Palliative care significantly reduced the patients ' hospitalization rate (-25.6%, P < 0.01), ICU rate (-4.9%, P < 0.01) and operation rate (-14.5%, P < 0.01). Before and after exposure, the average monthly total costs of pal-liative care group were slightly higher than those of standard care group (Before exposure: 20 092.3 yuan vs. 19 132.8 yuan, P=0.725; After exposure: 9 719.8 yuan vs. 8 818.8 yuan, P=0.165). Palliative care increased the average monthly total cost by 2 208.8 yuan, but it was not statistically significant (P=0.316). CONCLUSION Palliative care can increase the opioid consumption in advanced cancer patients, reduce the rates of hospitalization, ICU and surgery, but has no significant effect on medical expenditure.
Humans ; Palliative Care/economics* ; Neoplasms/drug therapy* ; Analgesics, Opioid/economics* ; Male ; Female ; Middle Aged ; Aged ; Hospitalization/economics* ; Intensive Care Units/statistics & numerical data* ; Health Expenditures/statistics & numerical data* ; Adult ; Drug Utilization/statistics & numerical data* ; Patient Acceptance of Health Care/statistics & numerical data*

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*

PURPOSE: Readmission and mortality rates of patients with heart failure are good indicators of care quality. To determine whether hospital resources are associated with care quality for cardiac patients, we analyzed the effect of number of physicians and the combined effects of number of physicians and beds on 30-day readmission and 1-year mortality. MATERIALS AND METHODS: We used national cohort sample data of the National Health Insurance Service (NHIS) claims in 2002–2013. Subjects comprised 2345 inpatients (age: >65 years) admitted to acute-care hospitals for heart failure. A multivariate Cox regression was used. RESULTS: Of the 2345 patients hospitalized with heart failure, 812 inpatients (34.6%) were readmitted within 30 days and 190 (8.1%) had died within a year. Heart-failure patients treated at hospitals with low physician volumes had higher readmission and mortality rates than high physician volumes [30-day readmission: hazard ratio (HR)=1.291, 95% confidence interval (CI)=1.020–1.633; 1-year mortality: HR=2.168, 95% CI=1.415–3.321]. Patients admitted to hospitals with low or middle bed and physician volume had higher 30-day readmission and 1-year mortality rates than those admitted to hospitals with high volume (30-day readmission: HR=2.812, 95% CI=1.561–5.066 for middle-volume beds & low-volume physicians, 1-year mortality: HR=8.638, 95% CI=2.072–36.02 for middle-volume beds & low-volume physicians). CONCLUSION: Physician volume is related to lower readmission and mortality for heart failure. Of interest, 30-day readmission and 1-year mortality were significantly associated with the combined effects of physician and institution bed volume.
Aged ; Aged, 80 and over ; Cohort Studies ; Female ; Heart Failure/diagnosis/*mortality/therapy ; Hospitalization ; *Hospitals, High-Volume/statistics & numerical data ; *Hospitals, Low-Volume/statistics & numerical data ; Humans ; Male ; Middle Aged ; Patient Readmission/*statistics & numerical data ; Physicians/economics/*supply & distribution ; Proportional Hazards Models ; Quality Improvement ; Quality Indicators, Health Care/*statistics & numerical data ; Time Factors ; Treatment Outcome

Objective: To investigate the economic burden of hepatitis C patients and related factors in Guangdong province. Methods: In this study, cluster sampling method was used to select cases, including acute hepatitis C, chronic hepatitis C and liver cirrhosis cases from eligible outpatients and inpatients in 1 or 2 large general hospitals in all the 21 cities in Guangdong province. Questionnaire survey was conducted for all the hepatitis C patients to analyze their economic burden, while multivariate linear regression model was used to identify the related influencing factors. Results: A total of 356 hepatitis C patients were enrolled in the study, with 176 outpatients (49.4%) and 180 inpatients (50.6%) respectively. The average age of the study subjects was (44.79±11.73) year-olds. The annual direct economic costs of patients with acute hepatitis C, chronic hepatitis C and liver cirrhosis were 10 703.22 (IQR: 7 396.75-16 891.91), 14 886.63 (IQR: 7 274.00-30 228.25) and 28 874.00 (IQR: 13 093.69-56 350.00) Yuan (RMB) respectively. The annual indirect costs appeared as 2 426.99 (IQR: 1 912.18-7 354.52), 3 235.99 (IQR: 1 323.81-6 619.07) and 5 442.35 (IQR: 3 235.99-10 296.33) Yuan (RMB) respectively. The annual intangible costs were 5 000.00 (IQR:2 000.00-10 000.00), 10 000.00 (IQR: 4 000.00-30 000.00) and 10 000.00 (IQR: 3 000.00-100 000.00) Yuan (RMB) respectively. The annual total costs were 22 306.17 (IQR: 14 581.24-50 569.17), 38 050.33 (IQR: 17 449.57-68 319.62) and 80 152.18 (IQR: 40 856.09-228 460.79) Yuan (RMB) respectively. Results from the multiple linear regression analysis showed that factors as: annual hospitalization days, annual number of outpatient visits, annual number of hospitalization, type of disease and the levels of the hospitals were related to the economic burden of patients with hepatitis C. Conclusion: Patients with HCV-related diseases presented serious economic problem which calls for close attention in Guangdong province.
Adult ; China/epidemiology* ; Cities ; Cost of Illness ; Female ; Health Care Costs/statistics & numerical data* ; Hepatitis B/epidemiology* ; Hepatitis C/economics* ; Hospitalization ; Humans ; Liver Cirrhosis/epidemiology* ; Male ; Surveys and Questionnaires

INTRODUCTIONThe estimated incidence of hip fractures worldwide was 1.26 million in 1990 and is expected to double to 2.6 million by 2025. The cost of care for hip fracture patients is a significant economic burden. This study aimed to look at the inpatient cost of hip fractures among elderly patients placed under a mature orthogeriatric co-managed system.

METHODSThis study was a retrospective analysis of 244 patients who were admitted to the Department of Orthopaedics of Tan Tock Seng Hospital, Singapore, in 2011 for hip fractures under a mature orthogeriatric hip fracture care path. Information regarding costs, surgical procedures performed and patient demographics was collected.

RESULTSThe mean cost of hospitalisation was SGD 13,313.81. The mean cost was significantly higher for the patients who were managed surgically than for the patients who were managed non-surgically (SGD 14,815.70 vs. SGD 9,011.38; p < 0.01). Regardless of whether surgery was performed, the presence of complications resulted in a higher average cost (SGD 2,689.99 more than if there were no complications; p = 0.011). Every additional day from admission to time of surgery resulted in an increased cost of SGD 575.89, and the difference between the average cost of surgery within 48 hours and that of surgery > 48 hours was SGD 2,716.63.

CONCLUSIONReducing the time to surgery and preventing pre- and postoperative complications can help reduce overall costs. A standardised care path that empowers allied health professionals can help to reduce perioperative complications, and a combined orthogeriatric care service can facilitate prompt surgical treatment.

Aged ; Aged, 80 and over ; Female ; Femoral Neck Fractures ; economics ; surgery ; Health Care Costs ; Hip Fractures ; economics ; surgery ; Hospitalization ; Humans ; Inpatients ; Length of Stay ; Male ; Middle Aged ; Orthopedic Procedures ; economics ; Patient Admission ; Retrospective Studies ; Singapore ; Surgical Procedures, Operative ; economics

BACKGROUNDThe study was to explore the causes of high inpatient expenditure through analyzing the distribution characteristics as well as the influence factors of high inpatient expenditure cases during 3 years within a Grade-A tertiary hospital through various aspects and multiple angles, thus identifying the major influence factors for high medical expenditure to develop further research.

METHODSWe retrospectively studied 2041 inpatient cases which cost more than RMB 100,000 Yuan per case in a Grade-A tertiary hospital from 2013 to 2015. We analyzed the compositions of the medical cost to evaluate the major factors that cause the high inpatient expenditure. All the data and materials were collected from medical record system, and the statistical methods included t-test, variance of analysis, and multivariate linear regression.

RESULTSThe average cost of the 2,041 cases was RMB 152,173 Yuan for medicines and materials of medical costs, which respectively accounted for 33.03% and 32.32% of the total cost; and the average length of hospital stay was 28.39 days/person. Diseases of skeletal and muscular system, circulatory system, and tumor were the top three disease categories of high inpatient expenditure, which accounted for 39.00%, 33.46%, and 18.03%, respectively. Complications, criticality of the disease, gender of the patients, the occurrence of death, and the excessive length of hospital stay all had great impacts on average medical expenditure, while age, hospital infection, and surgery showed no significant impact on average medical cost.

CONCLUSIONSThe main factors for high inpatient expenditure included the inadequate use of high-value medicines and materials, lacking cost control measures within the hospital, the excessive length of hospital stay for inpatients, and the unnecessary treatment for the patients.

China ; Female ; Health Expenditures ; statistics & numerical data ; Hospitalization ; economics ; Humans ; Inpatients ; statistics & numerical data ; Length of Stay ; economics ; Male ; Multivariate Analysis ; Retrospective Studies

OBJECTIVETo understand the current status of the disease burden of liver cancer in Jinchang cohort.

METHODSAll the liver cancer death data from 2001 to 2013 and medical records of liver cancer cases from 2001 to 2010 in Jinchang cohort were collected for the analyses of the mortality, standardized mortality, potential years of life lost (PYLL) and working PYLL (WPYLL) associated with liver cancer. Spearman correlation and the average growth rate were used to analyze the trends.

RESULTSA total of 207 liver cancer deaths occurred in Jinchang cohort from 2001 to 2013, accounting for 16.68% of total cancer deaths. There were 259 liver cancer inpatients, accounting for 6.79% of the total cancer cases inpatients, in which 83 died (32.05%). Liver cancer death mainly occurred in males, accounting for 88.89%, and the liver cancer deaths in females accounted for 11.11%. The standardized mortality rate was 42.32/100,000 in males and 15.31/100,000 in females. The growth rate of liver cancer mortality was 5.62% from 2001 to 2013. Liver cancer deaths mainly occurred in age groups 60-69 years (26.57%) and 50-59 years (24.15%). The PYLL was 2906.76 person-years, the average PYLL was 14.04 years. The WPYLL was 1477.00 person-years and the average WPYLL was 7.14 years. The direct economic burden of liver cancer was 6270.78 Yuan per person, 301.75 Yuan per day. The average stay of hospitalization was 21.32 days.

CONCLUSIONThe mortality rate of liver cancer is increasing and the disease burden is still heavy.

Aged ; China ; epidemiology ; Cohort Studies ; Cost of Illness ; Female ; Hospitalization ; economics ; statistics & numerical data ; Humans ; Liver Neoplasms ; economics ; mortality ; Male ; Middle Aged

OBJECTIVETo understand the current status of disease burden caused by gastric cancer in Jinchang cohort.

METHODSIn this historical cohort study, the data of gastric cancer deaths from 2001 to 2013 and the medical records of gastric cancer cases from 2001 to 2010 in Jinchang cohort were collected to analyze the mortality, potential years of life lost (PYLL), working PYLL (WPYLL) associated with gastric cancer, and the medical expenditure data were used to evaluate the direct economic burden. Spearman correlation analysis and the average growth rate were used to describe the change trend of disease burden of gastric cancer.

RESULTSA total of 213 gastric cancer deaths occurred in Jinchang cohort from 2001 to 2013. The average annual crude mortality rate of gastric cancer was 38.30 per 100,000 in Jinchang cohort during 2001-2013 and no obvious change was observed. The crude mortality rate in males was 6.84 times higher than that in females. Gastric cancer death mainly occurred in age group 50-79 years (82.62%), while the mortality rates was increasing among the people under 50 years with an average annual increase rate of 0.77%. The annual average PYLL (APYLL) and average WPYLL (AWPYLL) caused by gastric cancer decreased by 8.43% and 10.46%, respectively. No obvious change in medical expenditure of gastric cancer cases was observed in Jinchang Cohort during 2001-2010, and the medical expenditure and average daily cost of hospitalization were 8102.23 Yuan, and 463.45 Yuan per capita, respectively.

CONCLUSIONSThe burden of disease for gastric cancer was heavy in Jinchang cohort. The PYLL and WPYLL had no change, while the APYLL and AWPYLL showed a increasing trend during the last ten years. Direct economic burden of inpatients with gastric cancer had no change.

Aged ; China ; epidemiology ; Cohort Studies ; Cost of Illness ; Female ; Health Expenditures ; statistics & numerical data ; Hospitalization ; economics ; Humans ; Male ; Middle Aged ; Stomach Neoplasms ; economics ; mortality

OBJECTIVETo understand the disease burden caused by cancers in Jinchang cohort, and develop effective strategies for cancer prevention and control in this population.

METHODSThe cancer mortality data from 2001 to 2013 and the medical records for cancer patients from 2001 to 2010 in Jinchang cohort were collected. The disease burden caused by cancer was analyzed by using mortality rate, potential years of life lost (PYLL), working PYLL (WPYLL), and direct economic burden.

RESULTSDuring 2001-2013, in Jinchang cohort, the five leading cancers ranked by mortality rate were lung cancer (78.06/100,000), gastric cancer (38.03/100,000), liver cancer (37.23/100,000), esophageal cancer (19.06/100,000), and colorectal cancer (9.53/100,000). The five leading cancers in terms of PYLL (person-years) and WPYLL (person-years) were lung cancer (3480.33, 1161.00), liver cancer (2809.03, 1475.00), gastric cancer (2120.54, 844.00), esophageal cancer (949.61, 315.00), and colorectal cancer (539.90, 246.00). From 2001 to 2010, the five leading cancers in term of average daily cost of hospitalization were gastric cancer (8,102.23 Yuan), esophageal cancer (7135.79 Yuan), colorectal cancer (7064.38 Yuan), breast cancer (6723.53 Yuan), and lung cancer (6309.39 Yuan).

CONCLUSIONSThe cancers common causing higher disease burden in Jinchang cohort were lung cancer, gastric cancer, liver cancer, esophageal cancer and colorectal cancer. The lung cancer disease burden was the highest.

Breast Neoplasms ; economics ; mortality ; China ; epidemiology ; Cohort Studies ; Colorectal Neoplasms ; economics ; mortality ; Cost of Illness ; Esophageal Neoplasms ; economics ; mortality ; Female ; Hospitalization ; economics ; Humans ; Liver Neoplasms ; economics ; mortality ; Lung Neoplasms ; economics ; mortality ; Male ; Neoplasms ; economics ; mortality ; Stomach Neoplasms ; economics ; mortality