A sugar-sweetened beverage (SSB) tax in Mexico has been effective in reducing consumption of SSBs, with larger decreases for low-income households. The health and financial effects across ...socioeconomic groups are important considerations for policy-makers. From a societal perspective, we assessed the potential cost-effectiveness, health gains, and financial impacts by socioeconomic position (SEP) of a 20% SSB tax for Australia.
Australia-specific price elasticities were used to predict decreases in SSB consumption for each Socio-Economic Indexes for Areas (SEIFA) quintile. Changes in body mass index (BMI) were based on SSB consumption, BMI from the Australian Health Survey 2011-12, and energy balance equations. Markov cohort models were used to estimate the health impact for the Australian population, taking into account obesity-related diseases. Health-adjusted life years (HALYs) gained, healthcare costs saved, and out-of-pocket costs were estimated for each SEIFA quintile. Loss of economic welfare was calculated as the amount of deadweight loss in excess of taxation revenue. A 20% SSB tax would lead to HALY gains of 175,300 (95% CI: 68,700; 277,800) and healthcare cost savings of AU$1,733 million (m) (95% CI: $650m; $2,744m) over the lifetime of the population, with 49.5% of the total health gains accruing to the 2 lowest quintiles. We estimated the increase in annual expenditure on SSBs to be AU$35.40/capita (0.54% of expenditure on food and non-alcoholic drinks) in the lowest SEIFA quintile, a difference of AU$3.80/capita (0.32%) compared to the highest quintile. Annual tax revenue was estimated at AU$642.9m (95% CI: $348.2m; $1,117.2m). The main limitations of this study, as with all simulation models, is that the results represent only the best estimate of a potential effect in the absence of stronger direct evidence.
This study demonstrates that from a 20% tax on SSBs, the most HALYs gained and healthcare costs saved would accrue to the most disadvantaged quintiles in Australia. Whilst those in more disadvantaged areas would pay more SSB tax, the difference between areas is small. The equity of the tax could be further improved if the tax revenue were used to fund initiatives benefiting those with greater disadvantage.
The aim of the ACE-Obesity Policy study was to assess the economic credentials of a suite of obesity prevention policies across multiple sectors and areas of governance for the Australian setting. ...The study aimed to place the cost-effectiveness results within a broad decision-making context by providing an assessment of the key considerations for policy implementation. The Assessing Cost-Effectiveness (ACE) approach to priority-setting was used. Systematic literature reviews were undertaken to assess the evidence of intervention effectiveness on body mass index and/or physical activity for selected interventions. A standardised evaluation framework was used to assess the cost-effectiveness of each intervention compared to a 'no intervention' comparator, from a limited societal perspective. A multi-state life table Markov cohort model was used to estimate the long-term health impacts (quantified as health adjusted life years (HALYs)) and health care cost-savings resulting from each intervention. In addition to the technical cost-effectiveness results, qualitative assessments of implementation considerations were undertaken. All 16 interventions evaluated were found to be cost-effective (using a willingness-to-pay threshold of AUD50,000 per HALY gained). Eleven interventions were dominant (health promoting and cost-saving). The incremental cost-effectiveness ratio for the non-dominant interventions ranged from AUD1,728 to 28,703 per HALY gained. Regulatory interventions tended to rank higher on their cost-effectiveness results, driven by lower implementation costs. However, the program-based policy interventions were generally based on higher quality evidence of intervention effectiveness. This comparative analysis of the economic credentials of obesity prevention policies for Australia indicates that there are a broad range of policies that are likely to be cost-effective, although policy options vary in strength of evidence for effectiveness, affordability, feasibility, acceptability to stakeholders, equity impact and sustainability. Implementation of these policies will require sustained co-ordination across jurisdictions and multiple government sectors in order to generate the predicted health benefits for the Australian population.
To assess current approaches to inclusion of equity in economic analysis of public health interventions and to recommend best approaches and future directions.
We conducted a systematic review of ...studies that have used socioeconomic position (SEP) in cost‐effectiveness analyses. Studies were identified using MedLine, EconLit and HEED and were evaluated based on their SEP specific inputs and methods of quantification of the health and financial inequalities.
Twenty‐nine relevant studies were identified. The majority of studies comparing two or more interventions left interpretation of the size of the health and financial inequality differences to the reader. Newer approaches include: i) use of health inequality measures to quantify health inequalities; ii) inclusion of financial impacts, such as out‐of‐pocket expenditures; and iii) use of equity weights. The challenge with these approaches is presenting results that policy makers can easily interpret.
Using CEA techniques to generate new information about the health equity implications of alternative policy options has not been widely used, but should be considered to inform future decision making.
Inclusion of equity in economic analysis would facilitate a more nuanced comparison of interventions in relation to efficiency, equity and financial impact.
This study investigated variations in healthcare expenditure for colorectal cancer (CRC) patients in South Australia by socioeconomic position (SEP) and remoteness area.
Benefits incidence analysis ...(BIA) was used to examine healthcare expenditure and utilisation in relation to CRC patients by SEP and remoteness areas. Utilisation data was obtained for patients diagnosed with CRC in 2003–2013 from a dataset linked to a population‐based cancer registry, Medicare Benefits Scheme (MBS), Pharmaceutical Benefits Scheme (PBS), hospital and death data. Concentration indices estimated the distribution of health expenditure on MBS, MBS palliative care, PBS and general practitioners. Costs of claims data and length of stay in hospital were used as indicators of healthcare utilisation.
The results indicated that MBS palliative healthcare services utilisation favoured the more advantaged groups for both SEP and remoteness area (Concentration index (CI)= 0.1681, t‐value=54.42 (SEP) and CI=0.1546, t‐value=41.64). MBS expenditure was also favourable to the more advantaged groups (CI: 0.0785 and 0.0493).PBS and MBS general practitioner expenditure were equal (−0.0093 to 0.0250).
Overall MBS and PBS healthcare expenditure for CRC patients was close to equality, however utilisation of MBS‐funded palliative healthcare services was less concentrated in low SEP and more remote areas.
Whether the differences in palliative healthcare utilisation supplied by private providers are offset by other services requires investigation to determine if there is a need for initiatives to improve equality and give greater support to those who choose to die at home.
IntroductionThe short-term economic benefit of embedding best practice tobacco dependence treatment (TDT) into healthcare services prior to surgery across different populations and jurisdictions is ...largely unknown. The aim of this systematic review is to summarise the cost-effectiveness of preoperative smoking cessation interventions for preventing surgical complications compared with usual care. The results will provide hospital managers, clinicians, healthcare professionals and policymakers with a critical summary of the economic evidence on providing TDT routinely before surgery, aiding the development and dissemination of unified, best practice guidelines, that is, implementation of article 14 of the WHO Framework Convention on Tobacco Control.Methods and analysisA comprehensive search of peer-reviewed literature will be conducted from database inception until 23 June 2021 (Cochrane, Econlit, Embase, Health Technology Assessment, Medline Complete, Scopus). Published, English-language articles describing economic evaluations of preoperative smoking cessation interventions for preventing surgical complications will be included. One researcher will complete the searches and two researchers will independently screen results for eligible studies. Any disagreement will be resolved by the third researcher. A narrative summary of included studies will be provided. Study characteristics, economic evaluation methods and cost-effectiveness results will be extracted by one reviewer and descriptive analyses will be undertaken. A second reviewer will review data extracted for accuracy from 10% of the included studies. Reporting and methodological quality of the included studies will be evaluated independently by two reviewers using the Consolidated Health Economic Evaluation Reporting Standards statement and the Quality of Health Economic Studies Instrument checklist, respectively.Ethics and disseminationThis research does not require ethics approval because the study is a planned systematic review of published literature. Findings will be presented at health economic, public health and tobacco control conferences, published in a peer-reviewed journal and disseminated via social media.Trial registration numberCRD42021257740.
Abstract
Background
Countries with best practice tobacco control measures have experienced significant reductions in smoking prevalence, but socioeconomic inequalities remain. Spending on tobacco ...products, particularly by low-income groups can negatively affect expenditure on other goods and services. This study aims to compare the household expenditure of adults who smoke tobacco products and those who formerly smoked across socioeconomic groups.
Methods
Daily smokers and ex-smokers were compared using the Household, Income and Labour Dynamics in Australia Survey, over 7 waves. Adults who never smoked were not included. Participants were continuing sample members across waves. Mean number of participants per wave was 2505, 25% were smokers and 75% ex-smokers. The expenditure variables investigated included tobacco products, alcohol, motor vehicle fuel, health practitioners, insurance, education, and meals eaten out. Regression models using the generalized estimating equation technique were employed to compare expenditure data aggregated across the waves by Socioeconomic Index for Areas (SEIFA) quintiles of relative socio-economic advantage/disadvantage while accounting for within-participant autocorrelation. Quintiles are ranked by information such as the income, occupation and access to material and social resources of the residents.
Results
Smokers from all quintiles spent significantly less per year on meals out, education and insurance than ex-smokers (
p
< 0.001). Smokers from quintiles 2–5 spent less on groceries, medicines, and health practitioners (
p
< 0.01). Smokers from quintiles 1 and 2 (most disadvantaged), spent less on motor vehicle fuel than ex-smokers ($280;95%CI: $126–$434
),
($213;95%CI: $82–$344). Smokers from quintiles 2 and 3 spent more on alcohol ($212;95%CI: $86–$339), ($231.8;95%CI: $94–$370) than ex-smokers. Smokers from the least disadvantaged groups spent less on clothing than ex-smokers ($348;95%CI: $476–$221), ($501; 95%CI: $743–$258). Across the whole sample, smokers spent more than ex-smokers on alcohol ($230;95%CI:$95–$365) and less on meals out ($361;95%CI:$216–$379), groceries ($529;95%CI:$277–$781), education ($456;95%CI:$288–$624), medicine ($71;95%CI:$38–$104), health practitioners ($345;95%CI:$245–$444) and insurance ($318;95%CI:$229–$407).
Conclusions
Smoking cessation leads to reallocation of spending across all socioeconomic groups, which could have positive impacts on households and their local communities. Less spending on alcohol by ex-smokers across the whole sample could indicate a joint health improvement associated with smoking cessation.
We aimed to quantify the extent to which socioeconomic differences in body mass index (BMI) drive avoidable deaths, incident disease cases and healthcare costs.
We used population attributable ...fractions to quantify the annual burden of disease attributable to socioeconomic differences in BMI for Australian adults aged 20 to <85 years in 2016, stratified by quintiles of an area‐level indicator of socioeconomic disadvantage (SocioEconomic Index For Areas Indicator of Relative Socioeconomic Disadvantage; SEIFA) and BMI (normal weight, overweight, obese). We estimated direct healthcare costs using annual estimates per person per BMI category.
We attributed $AU1.06 billion in direct healthcare costs to socioeconomic differences in BMI in 2016. The greatest number (proportion) of cases and deaths attributable to socioeconomic differences in BMI was observed for type 2 diabetes among women (8,602 total cases 16%, with 3,471 cases 22% in the most disadvantaged quintile SEIFA 1) and all‐cause mortality among men (2027 total deaths 4%, with 815 deaths 6% in SEIFA 1).
Socioeconomic differences in BMI substantially contribute to avoidable deaths, disease cases and direct healthcare costs in Australia.
Population‐level policies to reduce socioeconomic differences in overweight and obesity must be identified and implemented.
To estimate the costs of health care and lost productivity attributable to overweight and obesity in New Zealand (NZ) in 2006.
A prevalence‐based approach to costing was used in which costs were ...calculated for all cases of disease in the year 2006. Population attributable fractions (PAFs) were calculated based on the relative risks obtained from large cohort studies and the prevalence of overweight and obesity. For each disease, the PAF was multiplied by the total health care cost. The costs of lost productivity associated with premature mortality were estimated using both the Human Capital approach (HCA) and Friction Cost approach (FCA).
Health care costs attributable to overweight and obesity were estimated to be NZ$624m or 4.4% of New Zealand's total health care expenditure in 2006. The costs of lost productivity using the FCA were estimated to be NZ$98m and NZ$225m using the HCA. The combined costs of health care and lost productivity using the FCA were $722m and $849m using the HCA.
The cost burden of overweight and obesity in NZ is considerable.
Policies and interventions are urgently needed to reduce the prevalence of obesity thereby decreasing these substantial costs.
Over one third of Australians' daily energy intake is from discretionary foods and drinks. While many health promotion efforts seek to limit discretionary food intake, the population health impact of ...reductions in the consumption of different types of discretionary foods (e.g., sugar-sweetened beverages (SSBs), confectionery, sweet biscuits) has not been quantified. This study estimated the potential reductions in body weight, obesity-related disease incidence, and healthcare cost savings associated with consumption of one less serving per week of different discretionary foods. Reductions in the different types of discretionary food were modelled individually to estimate the impact on energy consumption and population body weight by 5-year age and sex groups. It was assumed that one serving of discretionary food each week was replaced with either a serving of fruit or popcorn, and a serving (375 mL) of SSBs was replaced with coffee, tea, or milk. Proportional multi-state multiple-cohort Markov modelling estimated likely resultant health adjusted life years (HALYs) gained and healthcare costs saved over the lifetime of the 2010 Australian population. A reduction of one serving of SSBs (375 mL) had the greatest potential impact in terms of weight reduction, particularly in ages 19-24 years (mean 0.31 kg, 95% UI: 0.23 kg to 0.37 kg) and overall healthcare cost savings of AUD 793.4 million (95% UI: 589.1 M to 976.1 M). A decrease of one serving of sweet biscuits had the second largest potential impact on weight change overall, with healthcare cost savings of $640.7 M (95% CI: $402.6 M to $885.8 M) and the largest potential weight reduction amongst those aged 75 years and over (mean 0.21 kg, 95% UI: 0.14 kg to 0.27 kg). The results demonstrate that small reductions in discretionary food consumption are likely to have substantial health benefits at the population level. Moreover, the study highlights that policy responses to improve population diets may need to be tailored to target different types of foods for different population groups.
Physical inactivity is the fourth highest cause of death globally and is a major contributor to increases in healthcare expenditure. Improving public open spaces such as parks in areas of low ...socio-economic position (SEP) may increase recreational physical activity in disadvantaged populations. We assessed the cost-effectiveness of the installation of a play-space in a large metropolitan park in a low socioeconomic area based on changes in physical activity.
Observational data of visitor counts and activities undertaken in the park before the installation of the new play-scape (T1), at two months (T2) and 14 months post-installation (T3) were obtained for the intervention and a control park (with no refurbishment) located in a high SEP metropolitan area. Observed sitting, standing, and moderate and vigorous-intensity physical activity were converted to yearly MET-h according to age. Costs of the play-scape and ongoing maintenance were obtained from the organisation managing the refurbishment. The incremental cost-effectiveness ratio (ICER) (ratio of incremental cost to incremental effect) was calculated based on the incremental increase in MET-h from T1 to T3 assuming a 20-year lifetime of the play-scape. Observation counts combining moderate and vigorous activity were used in the sensitivity analysis.
When compared with T1, at T3 the new play-scape resulted in an overall incremental net gain of 114,114 MET-h (95% UI: 80,476 - 146,096) compared with the control park and an incremental cost effectiveness ratio (or cost per MET-h gained per park visitor) of AUD $0.58 (95% UI: $0.44-$0.80). The sensitivity analysis combining moderate and vigorous activity into one category showed an increase in estimated incremental MET-h of 118,190 (95% CI: 83,528 - 149,583) and a lower incremental cost per MET-h gained of AUD $0.56 (95% UI: $0.43-$0.77).
Using a benchmark of cost-effectiveness for physical activity interventions of AUD $0.60-$1.30, this study suggests that the installation of a play-scape located in a low SEP area is cost-effective based on its potential to facilitate increases in MET-h. It provides much needed preliminary evidence and requires replication elsewhere.
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