OBJECTIVETo calculate the actual expenditures in a county of Dehong prefecture, Yunnan province, China by using the method of National AIDS Spending Assessment (NASA) in 2010.

METHODSData were collected through NASA data collection form based on adapted NASA classification in the county of Dehong prefecture from October to December, 2011, and complemented by semi-structured interview with 16 well trained programmatic and financial representatives in 8 spending units. Data were entered in Resource Tracking Software (RTS) V 2009.3.0, and SPSS 13.0 was used for data processing and analysis.

RESULTSThe NASA estimations showed that the county spent a total of ¥16 235 954 on HIV/AIDS in 2010. Public funds constituted 96.3% of the total expenditure (¥15 630 937), followed by Global Fund which accounted for 3.0% (¥484 585) and private sources which accounted for 0.7% (¥120 432). Findings based on NASA categories showed that AIDS spendings were mainly on 4 areas, and expenditure on Care & Treatment was ¥12 401 382 (76.4% of total expenditure), followed by Prevention which accounted for 14.3% (¥2 325 707), Program Management & Administration which accounted for 7.8% (¥1 268 523) and human resources which accounted for 1.5% (¥240 342). The most beneficial population group was People Living with HIV (PLHIV), accounting for 84.7% of total expenditure. (¥13 753 428), followed by 4.8% for high risk population, including female sex workers and their partners (¥297 333), injection drug users and their partners (¥293 143), men having sex with men and their partners (¥185 136) and 1.5% (¥241 429) for the general population.

CONCLUSIONThe local funds for HIV/AIDS in this county was insufficient. The local government should increase corresponding funds based on central government funding. Care and treatment was the first spending priority in the county and the investment of prevention services needs to be increased. Prevention and treatment and care should be combined to ensure the effectiveness of comprehensive prevention and treatment of AIDS.

Acquired Immunodeficiency Syndrome ; economics ; prevention & control ; China ; Financing, Government ; economics ; Health Expenditures ; Humans ; Outcome and Process Assessment (Health Care) ; Surveys and Questionnaires

Commerce ; Delivery of Health Care ; economics ; Economics ; Health Services Accessibility ; economics ; Health Services Needs and Demand ; Health Status ; Humans ; Models, Economic ; National Health Programs ; organization & administration ; Outcome Assessment (Health Care) ; Singapore

Health conomics refers to the scientific discipline that compares the value of one healthcare program to another. It is a sub-discipline of Micro-economics. A health economic study evaluates the cost (expressed in monetary terms) and effects (expressed in terms of monetary value, efficacy or enhanced quality of life) of a healthcare program or product. We can distinguish several types of health economic evaluation: cost-minimization analysis, cost-benefit analysis, cost-effectiveness analysis and cost-utility analysis. Health economics studies serve to guide optimal healthcare resource allocation, in a standardized and scientifically grounded manner. Health economics research facilitates the translation of health technology assessment into useful information for healthcare decision-makers to ensure that society allocates scarce health care resources wisely, fairly and efficiently. Health economics usually evaluate the outcomes like clinical, economics and humanistic outcomes per costs. Health economics research include pharmacoeconomics, clinical epidemiology, decision analysis, modeling, risk assessment, patient-reported outcomes (quality of life), database analyses, observational studies, and patients registries.
Biomedical Technology ; Cost-Benefit Analysis ; Decision Support Techniques ; Delivery of Health Care ; Dietary Sucrose ; Economics, Pharmaceutical ; Humans ; Outcome Assessment (Health Care) ; Quality of Life ; Registries ; Resource Allocation ; Risk Assessment

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

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