| 
   |  | The health and economic benefits of reducing disease risk 
factors  Research Report - July 2009  Prepared for VicHealth by: DA Cadilhac, A Magnus, 
T Cumming, L Sheppard, D Pearce, R Carter PROJECT CONTRIBUTORS  Project conceptualization and management  Magnus A1 Cadilhac D A1, 
2, 3 Carter R1 Literature reviews  Cumming T2 Cadilhac D A1, 
2, 3 Magnus A1 Economic model development  Magnus A1 Cadilhac D A1, 
2, 3 Source data  Burden of Disease  Vos T4 Data analyses  National Health Survey Data:  Pearce D C2 Other:  Cadilhac D A1, 
2, 3 Magnus A1 Sheppard L1 Compilation and editing  Cadilhac D A1, 
2, 3 Magnus A1 Carter R1 Sheppard L1 Cumming T2 Affiliations of Investigators and Project Staff  1Deakin 
University 2National 
Stroke Research Institute 3The 
University of Melbourne 4The 
University of Queensland The health and economic benefits of reducing disease 
risk factors- Research Report Advisory committee  Todd Harper, Chief Executive Officer, VicHealth, (Chair)  Dr Jim Hyde, Director, Public Health, Department of Human 
Services  Elen Liew, Economic and Financial Policy, Department of Treasury 
and Finance  Nadja Diessel, Economic and Financial Policy, Department of 
Treasury and Finance  Prof Jeff Richardson, Faculty of Business and Economics, Monash 
University  Kellie-Ann Jolly, Director, Active Communities and Healthy 
Eating, VicHealth  VicHealth Project Support  Jennifer Alden, Senior Policy Adviser, Research, Strategy and 
Policy, VicHealth  Tass Mousaferiadis, Director, Research, Strategy and Policy, 
VicHealth (until June 2008)  ACKNOWLEDGEMENTS  We thank the following experts for providing advice on 
disease risk factors and data analysis methods: Michael Flood; Melanie Heenan; 
Kim Webster; Brian Vandenberg; Jane Potter and Shelley Maher from VicHealth; 
Professor Tony Worsley, University of Wollongong; Cate Burns and Caryl Nowson 
from Deakin University; Kylie Lindorff from the VicHealth Centre for Tobacco 
Control; Professor Robin Room, AERF Centre for Alcohol Social Research, Turning 
Point Alcohol and Drug Centre; Professor Theo Vos at the University of 
Queensland; as well as several health experts at the National Stroke Research 
Institute.  This report has been prepared by staff at Deakin University 
and the National Stroke Research Institute.  Funding was provided by VicHealth following a competitive 
tender application.  iii The health and economic benefits of reducing disease risk factors- 
Research Report  INVESTING IN PREVENTION  "How much is it worth?" This is a frequently asked question in 
the context of preventative health and health promotion. It seeks to measure the 
monetary benefits of these public health approaches and it rightly influences 
major decisions about how we spend our limited budgets.  However well-justified, this query can be challenging to answer 
because preventative health’s many benefits can’t always be assessed in mere 
dollar terms. Many regard the quality of life that accompanies good health, for 
example, as being valuable beyond measure.  But this new report, The Health and Economic Benefits of Reducing Disease Risk Factors, 
tackles this challenge head on. It estimates the ‘health status’, ‘economic’ and 
‘financial’ benefits of reducing the prevalence of the six behavioural risk 
factors that contribute to chronic diseases affecting millions of Australians. 
These major risk factors concern obesity, alcohol, smoking, exercise, diet and 
domestic violence. Importantly, this research maps new territory by developing a 
model for estimating the benefits of our home-based work and leisure. These are 
areas that have eluded traditional economic analysis but which we increasingly 
recognise are important to maintaining our work-life balance.  The findings show that increasing physical activity creates 
more household productivity and leisure time than reductions in alcohol 
consumption which have a greater influence on workforce productivity.  This report adds to the growing body of evidence that backs 
greater investment in preventative health. It provides a wealth of information 
that can help us to make informed decisions about which areas deliver the 
greatest value when developing policies, funding programs and infrastructure, 
and initiating research.  As the report highlights, we are all beneficiaries when it comes 
to reducing the prevalence of these six behavioural risk factors. We all have a 
stake in using this research to make better choices, as individuals, businesses, 
governments and communities.  Todd Harper  Chief Executive Officer  Victorian Health Promotion Foundation  iv The health and economic benefits of reducing disease risk factors- 
Research Report  
	
		| ACRONYMS AND DEFINITIONS Glossary of abbreviations |  
		| Acronym  | Meaning  |  
		| ABS  | Australian Bureau of Statistics  |  
		| AIHW  | Australian Institute of Health and Welfare  |  
		| BoD  | Burden of Disease  |  
		| BMI  | Body Mass Index  |  
		| COPD  | Chronic Obstructive Pulmonary Disease  |  
		| CURF  | Confidentialised Unit Record File  |  
		| DALY  | Disability Adjusted Life Years  |  
		| DTF  | Department of Treasury and Finance  |  
		| DCIS  | Disease Costs and Impact Study  |  
		| FCA  | Friction Cost Approach  |  
		| GDP  | Gross Domestic Product  |  
		| HCA  | Human Capital Approach  |  
		| IPV  | Intimate Partner Violence  |  
		| LL  | Lower Limit of a range of values  |  
		| NHMRC  | National Health and Medical Research Council  |  
		| NPV  | Net Present Value  |  
		| NHS  | National Health Survey  |  
		| OECD  | Organization for Economic Cooperation and Development
		 |  
		| PAF  | Population Attributable Risk Fraction  |  
		| RADL  | Remote Access Data Library  |  
		| RR  | Relative Risk  |  
		| SEIFA  | Socio-Economic Indexes For Areas  |  
		| UI  | Uncertainty Interval  |  
		| UL  | Upper Limit of a range of values  |  
		| VicHealth  | Victorian Health Promotion Foundation  |  
		| WHO  | World Health Organization  |  
	
		| Definition of key terms  |  
		| Term  | Meaning  |  
		| Arcadian ideal  | Countries comparable to Australia, where the 
		prevalence of a risk factor is lower.  |  
		| Attributable burden  | The estimated effects on population health, economic 
		and financial outcomes of a risk factor at current prevalence estimates.
		 |  
		| Avoidable burden  | The estimated net change in population health, 
		economic and financial parameters (reported savings arising from 
		mortality, morbidity, absenteeism, participation rates) if feasible 
		reductions in risk factor prevalence could be achieved  |  
		| Cost offsets  | These are made up of reductions in the costs of 
		future health care delivery (for example, hospital admissions, General 
		Practitioner visits, pharmaceuticals and allied health services) which 
		can be avoided by reductions in the number of cases of disease. Cost 
		offsets are the estimated resources consumed in the diagnosis, treatment 
		and care of preventable events that could become available for other 
		uses. These can be considered as ‘opportunity costs’. However, such estimates are only 
		indicative of financial savings and should be interpreted with caution 
		because they are not estimates of immediately realisable financial 
		savings. |  
		| Disability Adjusted Life Year  | The Disability Adjusted Life Year is a summary 
		measure of population health that captures the effects of premature 
		mortality and morbidity associated with disease and injury.  |  
		| Discount Rate  | A 3% discount rate was applied to ensure future costs 
		and benefits were expressed in the net present value. See Net present value. |  
		| Economic benefits  | Measures of economic gain estimated in this project 
		were decreases in short and long-term absenteeism, decrease in premature 
		retirements and increases in household production (e.g. shopping, 
		cleaning and child care) and leisure activities, associated with changes 
		in disease incidence and deaths, over a time period.  |  
		| Feasible reduction  | A reduction in risk factor prevalence that is 
		consistent with the current evidence for that risk factor within 
		Australia and overseas.  |  
		| Financial benefits  | The valuation in dollar terms of the estimated economic benefits. The 
		potential opportunity cost savings that include a value for health 
		sector offsets, productivity impacts in terms of household and workforce 
		participation, taxation, recruitment and training costs and leisure 
		time. These are not 
		estimates of immediately realisable cash savings. |  
		| Friction Cost Approach  | In the context of productivity, the friction cost 
		method determines the costs to employers of losing workers due to 
		illness and conversely the savings to employers from health 
		improvements, as well as lost individual income during the friction 
		period. The friction period is the time it takes to recruit and train a 
		new worker from the ranks of the unemployed to replace the lost worker 
		who has either died or is unable to work due to illness (Koopmanschap et 
		al. 1995).  |  
		| Health gains  | Quantified as the incident (new) cases of disease and 
		deaths that could be prevented and the potential Disability Adjusted Life Years 
		that could be averted (saved), over a time period, from reductions in 
		the prevalence of a risk factor. |  
		| Health sector costs  | The cost associated with: hospital care (admitted and 
		non-admitted); aged care homes; out-of-hospital medical services; 
		pharmaceuticals (prescription and over-the-counter drugs); other 
		professional services (e.g. optometry); dental services; and research.
		 |  
	
		| Health sector offsets  | These are made up of reductions in the costs of 
		future health care delivery (for example, hospital admissions, General 
		Practitioner visits, pharmaceuticals and allied health services) which 
		can be avoided by reductions in the number of cases of disease. Cost 
		offsets are the estimated resources consumed in the diagnosis, treatment 
		and care of preventable events that could become available for other 
		uses. These can be considered as ‘opportunity costs’. However, such estimates are only 
		indicative of financial savings and should be interpreted with caution 
		because they are not estimates of immediately realisable financial 
		savings. |  
		| Household production  | The non-paid hours of time allocated to household 
		duties of cooking, shopping, cleaning, maintenance etc. This is often 
		referred to in the literature as non-market based production, since it 
		is not traded in the usual way as a marketable item.  |  
		| Human Capital Approach  | In the context of productivity, the human capital 
		method is based on estimated output losses from cessation or reduction 
		of production due to morbidity and mortality; or conversely, from gains 
		made in human capital (both in terms of workforce participation and 
		productivity increases) due to investments in health care (Sapsford and 
		Tzannatos 1993). This is valued as gross employee earnings in the case 
		of the paid workforce.  |  
		| Ideal target  | The feasible risk factor prevalence reduction target. 
		This ideal target was established: by selecting a country comparable to 
		Australia with a lower risk factor prevalence (Arcadian ideal); or 
		according to expert opinion, current guidelines and/or relevant 
		literature.  |  
		| Net present value  | The value of benefits (income or health benefits), 
		which are expected to be received in the future, at a specified 
		reference year (2008 in this analysis), taking the time value of returns 
		into account (discounted by 3% in this project).  |  
		| Not in the labour force  | Individuals not currently active in, or looking for, 
		employment. For example, students / retirees.  |  
		| Opportunity cost  | Opportunity costs are defined as the value of time or 
		any other ‘input’ in its highest value alternative use. Therefore, 
		opportunity costs represent the lost benefit of not selecting the next 
		best alternative use of the resource inputs.  |  
		| Population Attributable Risk Fraction  | The proportion by which the incidence rate of a 
		disease could be reduced over a time period, if the risk factor was to 
		reach a theoretical minimum, assuming causation between risk factor and 
		disease.  |  
		| Preferred conservative estimate  | Estimates calculated using the Friction Cost 
		Approach, as opposed to the Human Capital Approach, are the preferred 
		conservative estimates for valuing productivity costs in this study. As 
		a number of assumptions needed to be made for modelling to occur, the 
		FCA is preferred as it represents a more conservative estimate of the 
		production gain likely to follow a reduction in risk behaviour.  |  
		| Productivity gains/losses  | Reflect changes in workforce participation and 
		absenteeism associated with health status  |  
		| Progressive target  | The mid-point between the current prevalence of a 
		risk factor and the ideal target prevalence for risk factor reduction. 
		For example, the current prevalence of tobacco smoking in Australia is 
		23%, the ideal prevalence target is 15% and therefore, the progressive 
		target is 19%.  |  
	
		| Reference year  | The year used for determination and valuation of 
		costs, benefits and population health impact.  |  
		| Replacement costs  | Valued at the average hourly rates for commercially 
		available domestic services and child care. See household production. |  
		| Socio-Economic Indexes For Areas  | This suite of indexes ranks geographic areas across 
		Australia in terms of their socio-economic characteristics (from most 
		disadvantaged to least disadvantaged) on the basis of several factors 
		which include education, income and others (Australian Bureau of 
		Statistics 2008a).  |  
		| Standard drink  | A standard drink is equal to 10g (12.5ml) of alcohol 
		(National Health and Medical Research Council 2001).  |  
		| Threshold analysis  | An analytic method used to provide evidence for 
		priority setting and policy decisions, including resource allocation and 
		research priority decisions. It is employed in decision contexts when 
		some information is available, but other important variables are 
		missing.  |  
		| Workforce participants  | People working part-time, full time or looking for 
		work.  |  
	
		| Definitions of risk factors used in this project as per 
		the 2004-05 National Health Survey (Australian Bureau of Statistics 
		2006)  |  
		| Alcohol consumption  | Long term high risk alcohol consumption: Greater than 
		75ml of alcohol consumed per day for men, and greater than 50ml of 
		alcohol consumed per day for women.  |  
		| Long term low risk alcohol consumption: Less than 
		50ml of alcohol consumed per day for men, and less than 25ml of alcohol 
		consumed per day for women.  |  
		| High body mass index  | Obese or overweight: BMI greater than 25, based on 
		self-reported height and weight.  |  
		| Normal weight: BMI less than 25, based on 
		self-reported height and weight (including underweight).  |  
		| Inadequate fruit and vegetable consumption  | Inadequate fruit and vegetable consumption: 
		Consumption below the recommended minimum of 2 serves fruit and 5 serves 
		vegetables daily.  |  
		| Adequate consumption: Consumption at or above the 
		recommended minimum of 2 serves fruit and 5 serves vegetables daily.
		 |  
		| Intimate partner violence  | High psychological distress has been used as a proxy 
		for current exposure to intimate partner violence: High or very high 
		levels of psychological distress (score 22-50 on the Kessler 
		Psychological Distress Scale -10).  |  
		| Moderate psychological distress has been used as a 
		proxy for past exposure to intimate partner violence: Moderate levels of 
		psychological distress (score 10-21 on the Kessler Psychological 
		Distress Scale -10).  |  
		| Physical inactivity  | Inactive: Sedentary or low activity level.  |  
		| Active: Moderate to high activity level.  |  
		| Tobacco smoking  | Current smokers: Persons who smoke tobacco on a 
		regular or irregular daily basis.  |  
		| Ex-smokers: Persons who no longer smoke on a regular 
		or irregular basis.  |    |  |   |