scholarly journals Potential Drug–Drug and Drug–Condition Interactions among Fibromyalgia Patients Initiating Pregabalin or Duloxetine: Prevalence and Health Care Expenditure Impact

Pain Medicine ◽  
2014 ◽  
Vol 15 (8) ◽  
pp. 1282-1293 ◽  
Author(s):  
Stephen S. Johnston ◽  
Margarita Udall ◽  
Joseph C. Cappelleri ◽  
Barbara H. Johnson ◽  
George Shrady ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Expenditure ◽  
Potential Drug ◽  
Drug Condition

Association of Demographic and Disability Characteristics With Total PROMISE Expenditure: Wisconsin PROMISE Findings—Brief Report

2021 ◽  
pp. 003435522098079
Author(s):  
Emre Umucu ◽  
Beatrice Lee ◽  
Veronica Estala-Gutierrez ◽  
Timothy Tansey
Keyword(s):  
Health Care ◽  
Cost Effectiveness ◽  
Treatment Group ◽  
Exploratory Study ◽  
Health Care Expenditure ◽  
Study Data ◽  
Data Set ◽  
Youth With Disabilities ◽  
Total Health Care Expenditure

The purpose of this exploratory study was to examine whether demographic and disability variables predict total health care expenditure of Wisconsin PROMISE. The findings are intended to assist in promoting cost-effectiveness for future similar initiates. This study data were extracted from Wisconsin PROMISE data set. This study had a total of 1,443 youth with disabilities ( Mage = 14.89). The majority of participants were male (69%). Our results indicated that some demographic and disability–related characteristics are associated with total health care expenditure in control with VR case during PROMISE, control without VR case during PROMISE, and treatment group. Overall, findings of the current study suggest demographic and disability variables do assist in predicting total health care expenditure of Wisconsin PROMISE.

On the international stability of health care expenditure functions: are government and private functions similar?

2004 ◽  
Vol 23 (3) ◽  
pp. 589-613 ◽  
Author(s):  
Jesús Clemente ◽  
Carmen Marcuello ◽  
Antonio Montañés ◽  
Fernando Pueyo
Keyword(s):  
Health Care ◽  
Health Care Expenditure ◽  
International Stability

Analyzing and management of health care expenditure and gross domestic product (GDP) growth rate by adaptive neuro-fuzzy technique

2016 ◽  
Vol 64 ◽  
pp. 524-530 ◽  
Author(s):  
Igor Mladenović ◽  
Miloš Milovančević ◽  
Svetlana Sokolov Mladenović ◽  
Vladislav Marjanović ◽  
Biljana Petković
Keyword(s):  
Health Care ◽  
Growth Rate ◽  
Gross Domestic Product ◽  
Health Care Expenditure ◽  
Domestic Product ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Neuro Fuzzy

COST CONTAINMENT AND ACCESS TO CARE: THE SHANGHAI HEALTH CARE FINANCING MODEL

2008 ◽  
Vol 53 (01) ◽  
pp. 27-41 ◽  
Author(s):  
WEIZHEN DONG
Keyword(s):  
Health Care ◽  
Health Care Access ◽  
Cost Containment ◽  
Access To Health Care ◽  
Health Care Cost ◽  
Health Care Expenditure ◽  
Health Care Financing ◽  
Insurance Scheme ◽  
Health Care Reforms ◽  
Medical Savings Account

The medical savings account (MSA) model of health care financing is viewed as a health care cost containment strategy. Yet, health care expenditure in Shanghai has increased sharply since the adoption of the MSA system. This paper looks into the health care reforms in Shanghai, especially since the introduction of the MSA scheme. From the Labor Insurance Scheme and Government Insurance Scheme to the Medical Savings Account scheme, ordinary Shanghai residents have not benefited from the most recent health care reforms. They have found medical care much less affordable. Disparity in access to health care access has become more evident than ever. Meanwhile, health care cost has increased sharply. China has benefited from an emphasis on prevention and primary care, but the government's recent policies give a high priority to catastrophic disease. This is not a cost-effective approach. Shanghai's health care system needs to break socioeconomic class boundaries if it is to construct a harmonious society. Shanghai's decision makers and various stakeholders have the resources and wisdom to face the challenge.

Aging, health expenditure, proximity to death, and income in Finland

2008 ◽  
Vol 3 (2) ◽  
pp. 165-195 ◽  
Author(s):  
UNTO HÄKKINEN ◽  
PEKKA MARTIKAINEN ◽  
ANJA NORO ◽  
ELINA NIHTILÄ ◽  
MIKKO PELTOLA
Keyword(s):  
Health Care ◽  
Health Expenditure ◽  
Long Term Care ◽  
Health Care Expenditure ◽  
Term Care ◽  
Age And Gender ◽  
And Gender ◽  
Proximity To Death ◽  
Naive Model

AbstractThis study revisits the debate on the ‘red herring’, i.e. the claim that population aging will not have a significant impact on health care expenditure (HCE), using a Finnish data set. We decompose HCE into several components and include both survivors and deceased individuals into the analyses. We also compare the predictions of health expenditure based on a model that takes into account the proximity to death with the predictions of a naïve model, which includes only age and gender and their interactions. We extend our analysis to include income as an explanatory variable. According to our results, total expenditure on health care and care of elderly people increases with age but the relationship is not as clear as is usually assumed when a naïve model is used in health expenditure projections. Among individuals not in long-term care, we found a clear positive relationship between expenditure and age only for health centre and psychiatric inpatient care. In somatic care and prescribed drugs, the expenditure clearly decreased with age among deceased individuals. Our results emphasize that even in the future, health care expenditure might be driven more by changes in the propensity to move into long-term care and medical technology than age and gender alone, as often claimed in public discussion. We do not find any strong positive associations between income and expenditure for most non-LTC categories of health care utilization. Income was positively related to expenditure on prescribed medicines, in which cost-sharing between the state and the individual is relatively high. Overall, our results indicate that the future expenditure is more likely to be determined by health policy actions than inevitable trends in the demographic composition of the population.

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