Modeling Public Health Care Expenditure Using Patient Level Data: Empirical Evidence from Italy

2016 ◽  
Author(s):  
Vincenzo Atella ◽  
Federico Belotti ◽  
Valentina Conti ◽  
Claudio Alberto Cricelli ◽  
Joanna Kopinska ◽  
...  
Keyword(s):  
Public Health ◽  
Health Care ◽  
Empirical Evidence ◽  
Health Care Expenditure ◽  
Public Health Care ◽  
Patient Level Data ◽  
Patient Level ◽  
Level Data

The Distribution of Health Care Costs and Their Statistical Analysis for Economic Evaluation

1998 ◽  
Vol 3 (4) ◽  
pp. 233-245 ◽  
Author(s):  
Andrew Briggs ◽  
Alastair Gray
Keyword(s):  
Health Care ◽  
Health Care Costs ◽  
Health Care Cost ◽  
Cost Data ◽  
Parametric Methods ◽  
Patient Level Data ◽  
Patient Level ◽  
Level Data ◽  
Care Costs ◽  
Non Parametric

Objective: Where patient level data are available on health care costs, it is natural to use statistical analysis to describe the differences in cost between alternative treatments. Health care costs are, however, commonly considered to be skewed, which could present problems for standard statistical tests. This review examines how authors report the distributional form of health care cost data and how they have analysed their results. Method: A review of cost-effectiveness studies that collected patient-level data on health care costs. To supplement the review, five datasets on health care costs are examined. Consideration is given to the use of parametric methods on the transformed scale and to non-parametric methods of analysing skewed cost data. Results: Since economic analysis requires estimation in monetary units, the usefulness of transformation-based methods is limited by the inability to retransform cost differences to the original scale. Non-parametric rank sum methods were also found to be of limited use for economic analysis, partly due to the focus on hypothesis testing rather than estimation. Overall, the non-parametric approach of bootstrapping was found to offer a useful test of the appropriateness of parametric assumptions and an alternative method of estimation where those assumptions were found not to hold. Conclusions: Guidelines for the analysis of skewed health care cost data are offered.

scholarly journals The burden of abdominal obesity with physical inactivity on health expenditure in Brazil

2015 ◽  
Vol 21 (1) ◽  
pp. 68-74
Author(s):  
Jamile S. Codogno ◽  
Bruna C. Turi ◽  
Flávia M. Sarti ◽  
Rômulo A. Fernandes ◽  
Henrique L. Monteiro
Keyword(s):  
Public Health ◽  
Health Care ◽  
Abdominal Obesity ◽  
Physical Inactivity ◽  
Health Care Expenditure ◽  
Health Care Expenditures ◽  
Public Health Care ◽  
Obese Patients ◽  
Validated Questionnaire ◽  
Medical Consultations

The purpose of this study was to analyze the association between the clustering of physical inactivity with abdominal obesity and public health care expenditure in Brazilian adults. The sample was composed of 963 patients of both genders, randomly selected in the Brazilian Public Health care System during 2010. Entire health care expenditures during the last year were computed and stratified into: medical consultations, medication dispensing, laboratory tests and overall expenditure. Waist circumference was used to diagnose abdominal obesity and physical activity was assessed by previously validated questionnaire. Sedentary and abdominally obese patients (OR= 3.01 [OR95%CI= 1.81-4.99]) had higher likelihood be inserted in the group of higher expenditures than only abdominally obese patients (OR= 1.66 [OR95%CI= 1.07-2.59]). There is a synergic effect between abdominal obesity and physical inactivity on overall health care expenditures.

SP682THE IMPACT OF DIALYSIS MODALITIES AND REIMBURSEMENT FEES ON PUBLIC HEALTH CARE EXPENDITURE IN EUROPEAN COUNTRIES WITH HIGHER AND LOWER GDPc

2019 ◽  
Vol 34 (Supplement_1) ◽  
Author(s):  
Arjan Van der Tol ◽  
Norbert Lameire ◽  
Rachael L Morton ◽  
Wim Van Biesen ◽  
Raymond Vanholder
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Care Expenditure ◽  
European Countries ◽  
Public Health Care

Public health expenditure, GDP and the elderly population: a comparative study

2017 ◽  
Vol 44 (10) ◽  
pp. 1390-1400 ◽  
Author(s):  
Marta Pascual-Saez ◽  
David Cantarero-Prieto ◽  
Daniela Castañeda
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Care Expenditure ◽  
Health Care Expenditures ◽  
The Elderly ◽  
Public Health Care ◽  
Ageing Society ◽  
Content Type ◽  
Decentralized System ◽  
Spanish Regions

Purpose The correlation between health care expenditure, gross domestic product (GDP) and population over 65 years (understood as share of the elderly) is a key question for health economics and demographic impact. The purpose of this paper is to study the role of ageing society to curb rising health care expenditures along the Spanish regions over the period 2002-2013, identifying their geographic differences and explain them based on GDP differences. Design/methodology/approach Cointegration technique is used in order to test if there is a statistically significant connection between variables. Findings They are similar to some obtained when using unit root test. In particular, the authors find how the elderly positively affects health care expenditure per capita. Practical implications The findings suggest that any cooperation policies should aim at improving the access of people to health care services based on public health care expenditures. Originality/value To the best of the knowledge this is one of the first studies which suggest different results by Spanish regions due to mature decentralized system in recent years.

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