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*

China has a double burden of diabetes mellitus and tuberculosis, and many studies have been carried out on the mutual impact of these two diseases. This paper systematically reviewed studies conducted in China covering the mutual impact of epidemics of diabetes and tuberculosis, the impact of diabetes on multi-drug resistant tuberculosis and on the tuberculosis clinical manifestation and treatment outcome, the yields of bi-directional screening, and economic evaluation for tuberculosis screening among diabetes patients.
China ; epidemiology ; Coinfection ; epidemiology ; etiology ; microbiology ; Diabetes Mellitus ; epidemiology ; etiology ; Epidemics ; Mass Screening ; economics ; Prevalence ; Tuberculosis ; epidemiology ; microbiology ; Tuberculosis, Multidrug-Resistant ; epidemiology ; microbiology

BACKGROUNDIn recent years, the prevalence of type 2 diabetes among Chinese population has been increasing by years, directly leading to an average annual growth rate of 19.90% of medical expenditure. Therefore, it is urgent to work on strategies to control the growth of medical expenditure on type 2 diabetes on the basis of the reality of China. Therefore, in this study, we explored the feasibility of implementing bundled payment in China through analyzing bundled payment standards of type 2 diabetes outpatient services.

METHODSThis study analyzed the outpatient expenditure on type 2 diabetes with Beijing Urban Employee's Basic Medical Insurance from 2010 to 2012. Based on the analysis of outpatient expenditure and its influential factors, we adopted decision tree approach to conduct a case-mix analysis. In the end, we built a case-mix model to calculate the standard expenditure and the upper limit of each combination.

RESULTSWe found that age, job status, and whether with complication were significant factors that influence outpatient expenditure for type 2 diabetes. Through the analysis of the decision tree, we used six variables (complication, age, diabetic foot, diabetic nephropathy, cardiac-cerebrovascular disease, and neuropathy) to group the cases, and obtained 11 case-mix groups.

CONCLUSIONSWe argued that it is feasible to implement bundled payment on type 2 diabetes outpatient services. Bundled payment is effective to control the increase of outpatient expenditure. Further improvements are needed for the implementation of bundled payment reimbursement standards, together with relevant policies and measures.

Aged ; Diabetes Mellitus, Type 2 ; economics ; Female ; Health Expenditures ; standards ; Humans ; Insurance, Health, Reimbursement ; Male ; Middle Aged ; Outpatients

OBJECTIVE: To compare the treatment costs on type 2 diabetes between patients with and without specific diseases health insurance, and to identify the influencing factors related to specific diseases health insurance application. METHODS: A structured questionnaire was used to investigate basic information, diabetes-related pharmacy, outpatient and inpatient treatment costs. SAS9.1 software was used for statistical analysis. The enumeration data was analyzed by using Chi-square test, and variables of statistical difference were bought into Logistic regression model through stepwise method. Continuous variables were represented by median(inter-quartile range)[M(Q)], and were analyzed by using Wilcoxon test. RESULTS: Compared with patients without specific disease health insurance in outpatient group, patients with specific disease health insurance had higher annual per capita total cost [2160(3081) vs 1000(2100) yuan, P<0.01] and lower out-of-pocket expense ratio [54.04% vs 93.78%, P<0.01]. Patients with middle or high level income (OR=1.94 and 2.11), participated in urban employee basic medical insurance (OR=4.19) and duration of disease >5 years (OR=2.04) were more likely to succeed in specific diseases health insurance application. CONCLUSION To reduce the financial burden of patients with type 2 diabetes, government should make huge efforts to promote specific disease health insurance policies, and encourage patients to apply for it. Meanwhile, medical insurance department and medical institutions should reinforce supervision and simplify the application process. To improve the availability of specific disease health insurance, the number and coverage of designated retail pharmacies should be increased. Besides, government should pay more attention to low-income patients and those with short duration diabetes, so as to enhance their ability to resist economic risks and reflect the fairness of specific disease health insurance.
Diabetes Mellitus, Type 2 ; drug therapy ; economics ; Health Care Costs ; Hospitalization ; Humans ; Insurance Coverage ; Insurance, Health ; Logistic Models ; Retrospective Studies

Adult ; Age Factors ; Aged ; Aged, 80 and over ; Amputation ; economics ; Cerebrovascular Disorders ; epidemiology ; Cohort Studies ; Comorbidity ; Conservative Treatment ; Costs and Cost Analysis ; Diabetes Mellitus ; economics ; Diabetic Foot ; economics ; epidemiology ; therapy ; Female ; Foot Deformities, Acquired ; economics ; epidemiology ; therapy ; Foot Injuries ; economics ; epidemiology ; therapy ; Health Care Costs ; Hospitalization ; economics ; Humans ; Hypertension ; epidemiology ; Joint Diseases ; economics ; epidemiology ; therapy ; Length of Stay ; economics ; Logistic Models ; Male ; Middle Aged ; Multivariate Analysis ; Myocardial Ischemia ; epidemiology ; Peripheral Vascular Diseases ; epidemiology ; Retrospective Studies ; Singapore ; epidemiology ; Wound Infection ; economics ; epidemiology ; therapy ; Young Adult

With the rapid aging of the population in Korea, the number of older people with dementia is projected to increase, forecasting an epidemic of dementia. Recent trends in dementia in several western countries, however, depict a gradual decline in prevalence and incidence. This decrease has been attributed to an improvement in education and living environments, engagement in healthy behaviors, and reduction in the prevalence of vascular risk factors. In Korea, however, trends in modifiable risk factors do not favor an optimistic outlook due to the continuous increase in the prevalence of hypertension, diabetes mellitus, and obesity. Given these observations, there is much to be gained through the promotion of healthy lifestyles. Moreover, public health resources need to be directed toward the provision of health promotion and preventive services, control and management of vascular risk factors, and improvement in the standard of living. Nationwide initiatives to develop and implement policies and strategies to protect cognitive health throughout the lifespan should be considered a public health priority.
Cost of Illness ; Dementia/economics/*epidemiology/prevention & control ; Developed Countries ; Diabetes Mellitus/epidemiology ; Health Behavior ; Humans ; Hypertension/epidemiology ; Obesity/epidemiology ; Prevalence ; Republic of Korea/epidemiology ; Risk Factors

INTRODUCTIONIn end-stage heart failure (HF) that is not eligible for mechanical assist device or heart transplant, palliative care serves to maximise symptom control and quality of life. We sought to evaluate the impact of home-based advance care programme (ACP) on healthcare utilisation in end-stage HF patients.

MATERIALS AND METHODSProspectively collected registry data on all end-stage HF recruited into ACP between July 2008 and July 2010 were analysed. Chart reviews were conducted on HF database and hospital electronic records. Phone interview and home visit details by ACP team were extracted to complete data entry. HF and all-cause hospitalisations 1 year before, and any time after ACP inception were defined as events. For the latter analysis, follow-up duration adjustment to event episodes was performed to account for death less than a year.

RESULTSForty-four patients (mean age 79 years, 39% men) were followed up for 15±8 months. Fifty-seven percent had diabetes, 80% ischaemic heart disease, and 60% chronic kidney disease. All reported functional class III/IV at enrolment. Mean serum sodium was 136±6 mmol/L, and creatinine 186±126 mmol/L. Thirty (68%) died within the programme. Mean time to death was 5.5 months. Mean all-cause and HF hospitalisations were 3.6 and 2.0 per patient before enrolment, but improved to 1.0 and 0.6 respectively after ACP. Thirty-six (71%) patients had fewer HF hospitalisations. When only those who survived more than a year were considered (n = 14), 10 (71%) and 9 (64%) experienced reduced HF (mean: 1.4 episodes per patient) and all-cause hospitalisations (mean: 2.2 episodes per patient) respectively.

CONCLUSIONHome-based advance care programme is potentially effective in reducing healthcare utilisation of end-stage HF patients, primarily by reducing HF rehospitalisations, and in probably saving costs as well.

Aged ; Aged, 80 and over ; Diabetes Mellitus ; Female ; Health Care Costs ; Health Services ; economics ; utilization ; Heart Failure ; complications ; economics ; therapy ; Home Care Services, Hospital-Based ; economics ; Hospitalization ; economics ; statistics & numerical data ; Humans ; Male ; Myocardial Ischemia ; complications ; Palliative Care ; economics ; methods ; Prospective Studies ; Registries ; Renal Insufficiency, Chronic ; complications ; Tertiary Care Centers

We analyzed the direct medical costs for Korean patients with type 2 diabetes according to the type of complications and the number of microvascular complications. We analyzed costs for type 2 diabetes and associated complications in 3,125 patients. These data were obtained from the Korean National Diabetes Program (KNDP), a large, ongoing, prospective cohort study that began in 2005. The cost data were prospectively collected, using an electronic database, for the KNDP cohort at six hospitals. The costs were analyzed according to complications for 1 yr from enrollment in the study. Among 3,125 patients, 918 patients had no vascular complications; 1,883 had microvascular complications only; 51 had macrovascular complications only; and 273 had both complications. The annual direct medical costs for a patient with only macrovascular, only microvascular, or both macrovascular and microvascular complications were 2.7, 1.5, and 2.0 times higher than the medical costs of patients without complications. Annual direct medical costs per patient increased with the number of microvascular complications in patients without macrovascular complications. The economic costs for type 2 diabetes are attributable largely to the management of microvascular and macrovascular complications. Proper management of diabetes and prevention of related complications are important for reducing medical costs.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; Asian Continental Ancestry Group ; Cohort Studies ; Costs and Cost Analysis ; Databases, Factual ; Diabetes Mellitus, Type 2/complications/*economics ; Female ; Health Care Costs ; Humans ; Male ; Middle Aged ; Prospective Studies ; Republic of Korea ; Vascular Diseases/complications ; Young Adult

This study was conducted to estimate the socioeconomic costs of overweight and obesity in a sample of Korean adults aged 20 yr and older in 2005. The socioeconomic costs of overweight and obesity include direct costs (inpatient care, outpatient care and medication) and indirect costs (loss of productivity due to premature deaths and inpatient care, time costs, traffic costs and nursing fees). Hypertension, diabetes mellitus, dyslipidemia, ischemic heart disease, stroke, colon cancer and osteoarthritis were selected as obesity-related diseases. The population attributable fraction (PAF) of obesity was calculated from national representative data of Korea such as the National Health Insurance Corporation (NHIC) cohort data and the 2005 Korea National Health and Nutrition Examination Survey (KNHANES) data. Direct costs of overweight and obesity were estimated at approximately U$1,081 million equivalent (men: U$497 million, women: U$584 million) and indirect costs were estimated at approximately U$706 million (men: U$527 million, women: U$178 million). The estimated total socioeconomic costs of overweight and obesity were approximately U$1,787 million (men: U$1,081 million, women: U$706 million). These total costs represented about 0.22% of the gross domestic product (GDP) and 3.7% of the national health care expenditures in 2005. We found the socioeconomic costs of overweight and obesity in Korean adults aged 20 yr and older are substantial. In order to control the socioeconomic burden attributable to overweight and obesity, effective national strategies for prevention and management of obesity should be established and implemented.
Adult ; Aged ; Arthritis/economics ; Cardiovascular Diseases/economics ; *Cost of Illness ; Diabetes Mellitus/economics ; Dyslipidemias/economics ; Female ; Health Care Costs/statistics & numerical data ; Health Expenditures ; Hospitalization/economics ; Humans ; Male ; Middle Aged ; Neoplasms/economics ; Nutrition Surveys ; Obesity/*economics/*psychology ; Republic of Korea ; Socioeconomic Factors

Chronic Disease ; economics ; Cost of Illness ; Diabetes Mellitus ; drug therapy ; economics ; Global Health ; economics ; Humans ; Singapore