Including Health Status in Medicare??s Adjusted Average per Capita Cost Capitation Formula

Medical Care ◽  
1986 ◽  
Vol 24 (3) ◽  
pp. 259-275 ◽  
Author(s):  
J William Thomas ◽  
Richard Lichtenstein
Keyword(s):  
Health Status ◽  
Per Capita ◽  
Capita Cost

scholarly journals Prevalence and socioeconomic burden of diabetes mellitus in South Korean adults: a population-based study using administrative data

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sung-Hee Oh ◽  
Hyemin Ku ◽  
Kang Seo Park
Keyword(s):  
South Korea ◽  
Diabetic Complications ◽  
Economic Burden ◽  
Productivity Loss ◽  
Diabetic Patients ◽  
Claims Database ◽  
South Korean ◽  
Subgroup Analyses ◽  
Per Capita ◽  
Capita Cost

Abstract Background Diabetes leads to severe complications and imposes health and financial burdens on the society. However, currently existing domestic public health studies of diabetes in South Korea mainly focus on prevalence, and data on the nationwide burden of diabetes in South Korea are lacking. The study aimed to estimate the prevalence and economic burden of diabetes imposed on the South Korean society. Methods A prevalence-based cost-of-illness study was conducted using the Korean national claims database. Adult diabetic patients were defined as those aged ≥20 years with claim records containing diagnostic codes for diabetes (E10-E14) during at least two outpatient visits or one hospitalization. Direct costs included medical costs for the diagnosis and treatment of diabetes and transportation costs. Indirect costs included productivity loss costs due to morbidity and premature death and caregivers’ costs. Subgroup analyses were conducted according to the type of diabetes, age (< 65 vs. ≥65), diabetes medication, experience of hospitalization, and presence of diabetic complications or related comorbidities. Results A total of 4,472,133 patients were diagnosed with diabetes in Korea in 2017. The average annual prevalence of diabetes was estimated at 10.7%. The diabetes-related economic burden was USD 18,293 million, with an average per capita cost of USD 4090 in 2019. Medical costs accounted for the biggest portion of the total cost (69.5%), followed by productivity loss costs (17.9%), caregivers’ costs (10.2%), and transportation costs (2.4%). According to subgroup analyses, type 2 diabetes, presence of diabetic complications or related comorbidities, diabetes medication, and hospitalization represented the biggest portion of the economic burden for diabetes. As the number of complications increased from one to three or more, the per capita cost increased from USD 3991 to USD 11,965. In inpatient settings, the per capita cost was ~ 10.8 times higher than that of outpatient settings. Conclusions South Korea has a slightly high prevalence and economic burden of diabetes. These findings highlight the need for effective strategies to manage diabetic patients and suggest that policy makers allocate more health care resources to diabetes. This is the first study on this topic, conducted using a nationally representative claims database in South Korea.

Trends in Health and Healthcare Utilization in Manitoba

2002 ◽  
Vol 15 (4_suppl) ◽  
pp. 35-38 ◽  
Author(s):  
Lisa M. Lix ◽  
Christine V. Newburn-Cook ◽  
Noralou P. Roos ◽  
Shelley Derksen
Keyword(s):  
Health Status ◽  
Mortality Rate ◽  
Healthcare Utilization ◽  
Hospital Admissions ◽  
Premature Mortality ◽  
Contact Rates ◽  
Physician Contact ◽  
Per Capita ◽  
The Difference ◽  
Hospital Days

Trends in health status and healthcare utilization were examined for regions of Manitoba from 1985 to 2000. While the provincial premature mortality rate decreased, the difference between the northern and southern regions increased. Hospital admissions remained stable despite major bed closures and an aging population; a decrease in hospital days per capita was observed in all regions. Physician contact rates also remained constant despite a 40% increase in the number of seniors.

scholarly journals The impact of changes in county public health expenditures on general health in the population

2014 ◽  
Vol 9 (3) ◽  
pp. 251-269 ◽  
Author(s):  
Timothy T. Brown ◽  
Maria S. Martinez-Gutierrez ◽  
Bahar Navab
Keyword(s):  
Public Health ◽  
Health Status ◽  
General Health ◽  
Health Expenditures ◽  
County Level ◽  
General Health Status ◽  
Excellent Health ◽  
Per Capita ◽  
County Public Health ◽  
Public Health Expenditures

AbstractWe estimate the effect of changes in the per capita expenditures of county departments of public health on county-level general health status. Using panel data on 40 counties in California (2001–2009), dynamic panel estimation techniques are combined with the Lewbel instrumental variable technique to estimate an aggregate demand for health function that measures the causal cumulative impact that per capita public health expenditures have on county-level general health status. We find that a $10 long-term increase in per capita public health expenditures would increase the percentage of the population reporting good, very good or excellent health by 0.065 percentage points. Each year expenditures were increased would result in ∼24,000 individuals moving from the ‘poor or fair health’ category to the ‘good, very good or excellent health’ category across these 40 counties. In terms of the overall impact of county public health departments on general health status, at current funding levels, each annual expenditure cycle results in over 207,000 individuals being in the ‘good, very good or excellent’ categories of health status rather than the ‘poor or fair’ categories.

scholarly journals Understanding and improving the one and three times GDP per capita cost-effectiveness thresholds

2016 ◽  
Vol 32 (1) ◽  
pp. 141-145 ◽  
Author(s):  
Lisa A Robinson ◽  
James K Hammitt ◽  
Angela Y Chang ◽  
Stephen Resch
Keyword(s):  
Cost Effectiveness ◽  
Gdp Per Capita ◽  
Per Capita ◽  
The One ◽  
Capita Cost

The Determinants of Health Status in Sub-Saharan Africa (Ssa)

2005 ◽  
Vol 49 (2) ◽  
pp. 60-66 ◽  
Author(s):  
Bichaka Fayissa ◽  
Paulos Gutema
Keyword(s):  
Health Status ◽  
Life Expectancy ◽  
Food Availability ◽  
Random Effect Model ◽  
Carbon Dioxide Emission ◽  
Determinants Of Health ◽  
Sub Saharan Africa ◽  
Life Expectancy At Birth ◽  
Per Capita ◽  
Availability Index

This study examines the determinants of health status (as measured by life expectancy at birth) in SSA based on the Grossman (1972) theoretical model which considers the economic (the ratio of health expenditure to GDP and the per capita food availability index), social (the illiteracy rate and alcohol consumption), and environmental factors (urbanization rate and carbon dioxide emission per capita index). The coefficients of the health status function are estimated by one-way and two-way panel data analyses. The two-way random-effect model results suggest that a decrease in illiteracy rate and an increase in the food availability index are well positively associated with improvements in life expectancy at birth. Overall results also suggest that a health policy that may focus on the provision of health services, family planning programs, and emergency aids to the exclusion of other demographic issues may serve little in schemes aimed at improving the current health status of the region.

scholarly journals “Top-down bottom-up” estimation of per capita cost of new-born care interventions in four regions of Ghana: beyond implementation to scalability and sustainability

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Robert Kaba Alhassan ◽  
Edward Nketiah-Amponsah ◽  
Nana A. Y. Twum-Danso ◽  
John Bawa ◽  
Williams Kwarah ◽  
...  
Keyword(s):  
Health System ◽  
Average Cost ◽  
Large Scale ◽  
Economies Of Scale ◽  
Healthcare Providers ◽  
Clinical Staff ◽  
Health Providers ◽  
New Born ◽  
Per Capita ◽  
Capita Cost

Abstract Background Limited financial, human and material health resources coupled with increasing demand for new-born care services require efficiency in health systems to maximize the available sources for improved health outcomes. Making Every Baby Count Initiative (MEBCI) implemented by local and international partners in 2013 in Ghana aimed at attaining neonatal mortality of 21 per 1000 livebirths by 2018 in four administrative regions in Ghana. MEBCI interventions benefited 4027 health providers, out of which 3453 (86%) were clinical healthcare staff. Objective Determine the per capita cost of the MEBCI interventions towards enhancing new-born care best practices through capacity trainings for frontline clinical and non-clinical staff. Methods Parameters for determining per capita cost of the new-born care interventions were estimated using expenditure on trainings, supervisions, monitoring and evaluation, advocacy, administrative/services and medical logistics. Data collection started in October 2017 and ended in September 2018. Data sources for the per capita cost estimations were invoices, expense reports and ledger books at the national, regional and district levels of the health system. Results Total of 4027 healthcare providers benefited from the MEBCI training activities comprising of 3453 clinical staff and 574 non-clinical personnel. Cumulative cost of implementing the MEBCI interventions did not necessarily match the cost per capita in staff capacity building; average cost per capita for all staff (clinical and non-clinical staff) was approximately US$ 982 compared to a per capita cost of US$ 799 for training only core clinical staff. Average cost per capita for all regions was approximately US$ 965 for all staff compared to US$ 777 per capita cost for only clinical staff. Per capita cost of training was relatively lower in regions with more staff than regions with lower numbers, perhaps due to economies of scale. Conclusion The MEBCI intervention had a wide coverage in terms of training for frontline healthcare providers albeit the associated cost may be potentially unsustainable for Ghana’s health system. Emerging digital training platforms could be leveraged to reduce per capita cost of training. Large-scale on-site batch-training approach could also be replaced with facility-based workshops using training of trainers (TOTs) approach to promote efficiency.

scholarly journals Socioeconomic Determinants of Infant Mortality Rate in Asean: A Panel Data Analysis

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Vita Kartika Sari ◽  
Dwi Prasetyani
Keyword(s):  
Health Status ◽  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Strong Influence ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Per Capita

The infant mortality rate indicates the health status of a country. Previous studies have proven that socioeconomic factors have a significant influence on infant mortality rates in both developed and developing countries. Further studies on infant mortality rates are useful for public service strategic policy in the health sector. The main purpose of this study was to analyze the socioeconomic factors influencing infant mortality rates in ASEAN based on panel data estimates for 2000-2017. The dependent variable for this study was infant mortality rate, while the independent variables were health expenditure, female labor force, maternal fertility rate, and GDP per capita. The authors concluded that the main cause of infant mortality in ASEAN is care during delivery. Other influencing factors include family health status, maternal education level, and socio-economic inequality. This study found that the size of the female workforce has a strong influence on increasing the infant mortality rate in ASEAN. The fertility rate also had a strong influence on increasing infant mortality rate in ASEAN, while GDP per capita had a negative influence on infant mortality rate.  Health expenditure is proven to have no effect on the increase of infant mortality rates in ASEAN.

scholarly journals Economic Burden of Pneumococcal Disease in Individuals Aged 15 Years and Older in the Liguria Region of Italy

Vaccines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1380
Author(s):  
Matteo Astengo ◽  
Chiara Paganino ◽  
Daniela Amicizia ◽  
Cecilia Trucchi ◽  
Federico Tassinari ◽  
...  
Keyword(s):  
Pneumococcal Disease ◽  
Cohort Analysis ◽  
Economic Cost ◽  
Annual Number ◽  
Hospitalization Costs ◽  
Ed Visits ◽  
Per Capita ◽  
Administrative Health Databases ◽  
The Cost ◽  
Capita Cost

Despite the availability of vaccines against Streptococcus pneumoniae, the global incidence and economic cost of pneumococcal disease (PD) among adults is still high. This retrospective cohort analysis estimated the cost of emergency department (ED) visits/hospitalizations associated with non-invasive pneumonia and invasive pneumococcal disease among individuals ≥15 years of age in the Liguria region of Italy during 2012–2018. Data from the Liguria Region Administrative Health Databases and the Ligurian Chronic Condition Data Warehouse were used, including hospital admission date, length of stay, discharge date, outpatient visits, and laboratory/imaging procedures. A ≥30-day gap between two events defined a new episode, and patients with ≥1 ED or inpatient claim for PD were identified. The total mean annual number of hospitalizations for PD was 13,450, costing ~€49 million per year. Pneumonia accounted for the majority of hospitalization costs. The median annual cost of hospitalization for all-cause pneumonia was €38,416,440 (per-capita cost: €26.78) and was €30,353,928 (per-capita cost: €20.88) for pneumococcal and unspecified pneumonia. The total number and associated costs of ED visits/hospitalizations generally increased over the study period. PD still incurs high economic costs in adults in the Liguria region of Italy.

scholarly journals Mortality Rate and Case Fatality Rate of COVID-19 Around The World: An Adjusted Estimation

2021 ◽  
Author(s):  
Moslem Taheri Soodejani ◽  
Ali Akbar Haghdoost ◽  
Mohammad Hassan Lotfi ◽  
Marzieh Mahmudimanesh ◽  
Seyyed Mohammad Tabatabaei
Keyword(s):  
Diabetes Mellitus ◽  
Health Status ◽  
Mortality Rate ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Total Expenditure ◽  
Fatality Rate ◽  
The World ◽  
Per Capita ◽  
Prevalence Of Diabetes Mellitus

Abstract Background: The present study is designed to predict the global adjusted values for mortality rate and case fatality rate of COVID-19 around the world. Methods: This research was conducted at the ecological level using data from 100 countries which were chosen randomly. The adjusted values were predicted using beta regression considering predictive factors such as total expenditure on health per capita, expenditure on health as a percentage of GDP, life expectancy and the percentage of the population aged over 65 years, hospital beds (per 1000 population), physicians (per 1000 population), nurses (per 1000 population), prevalence of smoking, prevalence of diabetes mellitus, and number of confirmed tests in each country. In the end, applying Monte Carlo simulation, the adjusted values of mortality rate and case fatality rate for the whole world were estimated.Results: The results of this study showed that two factors including percentage of population ages 65 and above (P=0.03) and Total expenditure on health as % of GDP (P = 0.04) had a statistically significant relationship with the case fatality rate. Moreover, there was a statistically significant relationship between the mortality rate and life expectancy (P = 0.02), total expenditure on health per capita (P < 0.001), nurses (Per 1000 Population) (P=0.04), and the prevalence of Diabetes Mellitus (P=0.04). The mortality rate and case fatality rate for the whole world were estimated to be 0.000001 and 0.026, respectively.Conclusion: It seems that what can cause global concern is not the case fatality rate of the disease, but its mortality rate, which is directly related to the health status of a community. The worse the health status of a community, the greater the number of infected people likely to be there, that ultimately increases the mortality rate of the disease in the community.

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