ESTIMATING THE LIFETIME COST OF CHILDHOOD OBESITY: MAIN CONCLUSIONS

Slides:



Advertisements
Similar presentations
IMPACT OF HIV/AIDS ON DEVELOPMENT. EVOLUTION OF HIV/AIDS Incidence of the disease adding to the disease burden measure. Sero- prevalence found in the.
Advertisements

Institute for Public Health, Medical Decision Making and Health Technology Assessment 1 Results of the PanEuropean Hepatitis C Project 3 rd Paris Hepatitis.
Health Quality Indicators, Value of Health: Accounting for Quality Change Aileen Simkins, Department of Health Co-Director of the Atkinson Review.
ESTIMATING THE RETURNS OF INVESTING IN RMNCH Malcolm Bryant and Susan Foster.
Foci on Health Needs Public health imperative: concern with total population needs and the development of strategies based on prevention and health promotion.
MORBID OBESITY A Heavy Burden.... What is Morbid Obesity? A person is classified as morbidly obese when their BMI is greater than 40, or they are more.
3rd Baltic Conference on Medicines Economic Evaluation, Reimbursement and Rational Use of Pharmaceuticals Pricing and Reimbursement of Pharmaceuticals.
28 November rd Annual Canadian Employee Benefits Conference Ambrose M. Hearn, CHE CEO, VON Canada 1 NATIONAL VIEW OF AN AGING POPULATION BRIDGE.
NIC ICTU Women’s Committee Austerity and the Impact on Women's Health and Wellbeing.
Chapter 17 Life Cycle Financial Risks
Health promotion and disease prevention: key policies for regional development Michael Hübel Head of Unit, Health Determinants, Directorate-General for.
It is estimated that over 50 per cent of the African population do not have access to modern health facilities and more than 60 per cent of people in rural.
1 The Impact of Ageing on Insurance: Longevity Risk ASSAL XVII Annual Meeting Lisbon, April 24-28, 2006 Pablo Antolín Financial Affairs Division, OECD.
Measuring Health Status
Module 12: Advanced Session on using the RAP ILO, 2013.
What are the economic consequences of adult ill- health in Russia? Marc Suhrcke WHO European Office for Investment for Health and.
The financial costs and benefits of alcohol The financial costs and benefits of alcohol Christine Godfrey Department of Health Sciences & Centre for Health.
Health and long-term care data needs: the Ageing Report and the European Semester Public Health Statistics Working Group Luxembourg, December 2014.
Vicky Copley, PHE Risk Factor Intelligence
From Strategy to Practice A perspective from the Institute of Public Health 5 November 2015 Owen Metcalfe, FFPH Chief Executive, IPH.
Population prevalence of disease risk factors and economic consequences for the healthcare system - possible scenarios Inna Feldman Uppsala University.
Meeting of the Policy Group on Statistical Cooperation COORDINATION OF THE NATIONAL STATISTICAL SYSTEM OF THE REPUBLIC OF MACEDONIA Point 9 of the Agenda.
The Aging Process from a Quality of Life Perspective Ingalill Rahm Hallberg, Professor, Director of the Swedish Institute for Health Sciences Assistant.
Measures of the health status of Australians. Sources of health data and statistics in Australia Australian Bureau of Statistics (ABS), Australia’s national.
Health and long-term care data needs: the Ageing Report and the European Semester Working Group on Public Health Statistics meeting November 2015.
European network for Health Technology Assessment | JA | EUnetHTA European network for Health Technology Assessment THL Info.
What lessons are there for the prevention and control of chronic diseases in Europe? Policy Brief on National Diabetes Plans in Europe Jelka Zaletel National.
COUNTRY REPORT ON HEALTH STATUS LITHUANIA Jurate Klumbiene Institute for Biomedical Research Kaunas University of Medicine Meeting on adult premature mortality.
Cardiovascular Risk: A global perspective
Measures of the health status of Australians
Descriptive statistics (2)
Prevention Diabetes.
The Economic Burden of Lung Cancer & Mesothelioma in Canada Due to Occupational Asbestos Exposure Emile Tompa, Christina Kalcevich, Chris McLeod, Martin.
INDICATORS OF HEALTH.
NCD in Bulgaria Assoc. Prof. Plamen Dimitrov, MD, PhD
Italy - Evidence package
Health and Human Development
Non-Communicable Diseases Risk Factors Survey in Georgia
Meeting Standards and Expectations in the Water Industry
SOA Annual Meeting 2005 Fertility Symposium
Musculoskeletal Health in Europe
HIV surveillance in Northern Ireland 2015
Background. NCDMod: a microsimulation model exploring the economic impacts of obesity interventions in Australia.
Comparison of the study findings: Male & female
Table 1: New HIV diagnoses, by UK country,
HIV surveillance in Northern Ireland 2014
JANPA FINAL CONFERENCE
Measurements of Health Status
College of Applied Medical Sciences
National Transfer Accounts: Singapore 2013
Sergio Bautista-Arredondo National Institute of Public Health Mexico
Measuring Health Status
SPIMEU Attitude and working methods of general practitioners in selective prevention of cardiometabolic diseases Niek de Wit Monika Hollander Anders.
Prevention Diabetes Dr Abir Youssef 29/11/2018.
INDICATORS OF HEALTH.
Reference 144/2065 Smartphones and counselling for weight loss: Health and economic modelling Authors: Christine Cleghorn
Current achievements and status of JA-CHRODIS
MEASURING HEALTH STATUS
Bringing the exchange and transfer of practices into motion
The health status of Australian Youth
Epidemiological Terms
Ministry of National Economy of The Republic of Kazakhstan
INDICATORS OF HEALTH.
Different measures of health status of Australians
Title Subtitle.
Diabetes econonomy2 Amini Masoud 1397.
The Health Care Reform 2002 – 2004 Slovak Republic
The Costs of Smoking Hana Ross, PhD
100 years of social protection with the ILO: the road to universal social protection systems and floors Valerie Schmitt, ILO International workshop on.
WELCOME BACK QUIZ! Unit 4, outcome 1.
Presentation transcript:

ESTIMATING THE LIFETIME COST OF CHILDHOOD OBESITY: MAIN CONCLUSIONS JANPA GENERAL ASSEMBLY 23 NOVEMBER 2017 Ministry for Solidarity and Health Paris ESTIMATING THE LIFETIME COST OF CHILDHOOD OBESITY: MAIN CONCLUSIONS Kevin Balanda, IPH IRL WP4 Leader

JANPA COSTING MODEL JANPA WP4 was very ambitious: first lifetime costing study that developed and applied a standard methodology in more than one country (8 EU countries) Aims: Describe the lifetime cost of childhood obesity Assess the effect of reducing mean childhood BMI by 1% and 5% Conducted within model principles; eg Societal economic perspective Transparency Maximising the use of resources Building capacity

HUMAN IMPACTS AND FINANCIAL COSTS   HUMAN IMPACTS FINANCIAL COSTS ADULT OBESITY/OVERWEIGHT Prevalence Lifetime Income Losses MORBIDITY Incidence Years Lost due to Disability (YLD) Quality Adjusted Life Years (QALY) Direct healthcare costs Productivity losses due to absenteeism MORTALITY Premature death Years of Life Lost (YLL) Productivity losses due to premature death

COHORT SIMULATIONS Productivity loss: Premature death Absenteeism RR Deaths from other causes Obesity-related disease Obesity-related treatment & death Productivity loss: Premature death Absenteeism Lifetime income loss

DATA REQUIREMENTS Population Childhood population size BMI Historical BMI distribution (all ages) Disease parameters Annual incidence rates Annual prevalence rates One-year survival probabilities Annual mortality rates Direct healthcare costs Annual per case direct healthcare costs Lifetime income losses Productivity losses due to premature mortality Annual average income Productivity losses due to absenteeism Average number of days absent Social welfare payments Other Life expectancies at birth, Minimum legal working age, Retirement age

CONCLUSIONS - REPUBLIC OF IRELAND (1) Total financial costs (€4,518.1M) account for 1.6% of GDP in 2015 Lifetime financial cost is €16,036 per person Direct healthcare costs (€944.7M) account for 4.8% of public health expenditure in 2015. Premature deaths (55,056) account for 1 in 10 of all premature deaths Societal costs are larger than direct healthcare costs Premature death is a larger cause of productivity loss than absenteeism (€2,795.4M vs €521.9M)

CONCLUSIONS - REPUBLIC OF IRELAND (2) Gender differences: Male productivity losses due to prematue mortality and lifetime income losses are higher Female direct healthcare costs and productivity losses due to absenteeism are higher Northern Ireland comparison highlights importance of context: Direct health care costs are relatively higher in Northern Ireland Indirect (societal) costs are relatively higher in Republic of Ireland Large savings (€1,127M) with modest changes in childhood BM

BIGGEST DATA GAPS Recommend greater co-ordination of information systems across the EU: Obesity surveillance (particularly early years, adolescence and later adult years) Surveillance of obesity-related diseases (particularly incidence and survival) Healthcare costs (particularly primary care and pharmaceutical costs) Approach to data use

BIGGEST RESEARCH GAPS Psychosocial impacts of childhood obesity and their implications for human capital and the economy Sensitivity audit (uncertainty intervals and validation) Multi-morbidity Independent scientific review of JANPA costing model and its development Longitudinal studies with long term follow-up

CONCLUSIONS JANPA WP4 encountered unforeseen difficulties but established that reliable estimates of lifetime cost of childhood obesity/overweight could be obtained in more than one country Estimates highlight the large cost and the large savings that could follow from a modest change In childhood BMI. If we deal with the unforeseen difficulties, the other valuable data that has been collated can produce reliable and meaningful estimates in the remaining countries

Thank you kevin.balanda@publichealth.ie WP4 Leader This presentation is part of the Joint Action JANPA (Grant agreement n°677063) which has received funding from the European Union’s Health Programme (2014-2020). The content of this presentation represents the views of the author only and is his/her sole responsibility; it cannot be considered to reflect the views of the European Commission and/or the Consumers, Health, Agriculture and Food Executive Agency or any other body of the European Union. The European Commission and the Agency do not accept any responsibility for use that may be made of the information it contains.