| Literature DB >> 25406936 |
Lainie Sutton1, Anup Karan2,3, Ajay Mahal4.
Abstract
BACKGROUND: Countries of the Asia Pacific region account for a major share of the global burden of disease due to cardiovascular disease (CVD) and this burden is rising over time. Modifiable behavioural risk factors for CVD are considered a key target for reduction in incidence but their effectiveness and cost-effectiveness tend to depend on country context. However, no systematic assessment of cost-effectiveness of interventions addressing behavioural risk factors in the region exists.Entities:
Mesh:
Substances:
Year: 2014 PMID: 25406936 PMCID: PMC4251847 DOI: 10.1186/s12992-014-0079-3
Source DB: PubMed Journal: Global Health ISSN: 1744-8603 Impact factor: 4.185
Figure 1Flow diagram of studies in the Asia Pacific Region investigating cost-effectiveness of lifestyle or behavioural interventions for cardiovascular disease primary prevention.
Study characteristics: location, study design and economic perspective
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| Australia, 2006 | 1 Year | 1 Year | 18 yrs + in Western Australia, male and female, CVD risk level unknown | GP advice for sufficient physical activity (150+ minutes/week) upon random presentation at clinic (6 visits) | No GP advice on physical activity | Health Sector |
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| China, India, 2008 | Lifetime of population at baseline or up to 100 yrs | Lifetime | Whole population | Int1 Worksite health promotion; Int2 Compulsory food labelling; Int3 Mass media health promotion campaigns; Int4 Fiscal measures affecting fruit and vegetable and food high in fat | No intervention | Health sector |
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| Australia, 2003 | Lifetime of population at baseline or up to 100 yrs | Lifetime | Whole population (15+ yrs) | Int1 Volumetric taxation; Int2 Advertising bans; Int3 Licensing controls on operating hours; Int4 Brief intervention by GP; Int 5 Brief intervention by GP with GP telemarketing and support; Int6 Residential treatment; Int7 Increase legal age; Int8 Drink driving campaigns. | Current best practice/‘do nothing’ (random breath testing present) | Health sector |
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| Australia, 2003 | Lifetime of population at baseline | 6 Months | Whole population (adult, BMI ≥25 kg/m2, don’t eat at least 7 serves of fruit and vegetables/day, don’t get 30+ minutes moderate exercise at least 5x/week) | Int1 Lighten up (group counselling for changing physical activity and nutrition patterns); Int2 Weight watchers (low-calorie diet and physical activity advice) | No intervention | Health sector |
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| Australia, 2003 | Lifetime of population at baseline | Lifetime | Whole population (15+ yrs at baseline) | Int1 Pedometers; Int2 Mass media campaign; Int3 Internet advertising; Int4 GP physical activity prescription program; Int5 Travel smart program to encourage use of active transport; Int6 GP referral to exercise physiologist. | Current practice | Societal and health sectors |
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| Australia, 2003 | Lifetime of population at baseline | Lifetime | Whole population (30 + yrs at baseline) | Int1 Govt. incentives for moderate reduction in salt in processed foods by manufacturers and product labelling (voluntary); Int2 Govt. mandate to moderate salt limits in processed foods; Int3 Dietary advice for those at increased risk of CVD; Int4 Dietary advice for those at high risk of CVD | No intervention | Health sector |
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| Australia, 2003 | Lifetime of population at baseline | Lifetime | Whole adult population | Int1 Community-based events, sponsorship, promotion; Int2 Information mail-out (multiple re-tailored); Int3 Information mail-out (multiple tailored); Int4 Information mail-out (tailored); Int5 Individual and group dietary counselling; Int6 Individual dietary counselling; Int7 Telephone counselling and information mail-out | No intervention | Health sector |
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| Australia, 2008 | Lifetime of population at baseline | Lifetime | Whole population (35-84 yrs at baseline, never experienced heart disease or stroke, all CVD risk levels) | Community: Int1 Heart health program; Int2 Mandatory reduction of salt in manufacture of bread, cereals and margarines. Individual: Int3 Dietary advice from doctor or dietician; Int4 Referral to more intensive lifestyle program with specialised counselling (≥15% risk of CVD); Int5 Advice from doctor to switch to phytosterol enriched margarine (≥15% risk of CVD) | Current best practice (‘do nothing’) | Health sector |
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| Australia, 2003 | 6 Months – 6 Years | 1 session –1 Year | Unclear – clinical trials were in adults | 8 dietary interventions | No intervention | Societal perspective |
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| New Zealand, 2000 | Lifetime (40 years) | 1 Year | Adults 40-79 yrs, M&F, not getting 2.5 hrs physical activity per week (n = 878) | Physical activity counselling program (verbal advice and written exercise program by GP or Nurse and telephone exercise specialist follow-up) | Best practice | Health Sector |
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| New Zealand, 2000 | 1 Year | 3 Months | Adults 40-79 yrs, M&F, not getting 2.5 hrs physical activity per week (n = 878) | Physical activity counselling program (verbal advice and written exercise program by GP or Nurse and telephone exercise specialist follow-up) | Best practice | Programme funder Perspective |
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| Australia, 2003 | Lifetime of population at baseline or 100 yrs | 6-12 Months | Adults 20 yrs + overweight and obese | Int1:Hypertension diet with exercise; Int2:Low-fat diet | No intervention | Health sector |
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| Vietnam, 2007 | Lifetime of population at baseline or up to 100 yrs | 10 Years | Adult population 30 + years at baseline, all risk levels | Int1: Reduction in salt intake through voluntary manufacturer limits, mass media campaign; Int2:Mass media campaign to reduce cholesterol; Int3:Mass media campaign to reduce tobacco; Int4:Interventions 1-3 combined | No intervention | Health sector |
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| Vietnam, 2006 | Lifetime of population at baseline | 1 Session | Adult population 15 + y at baseline, stratified by i) never smoker, ii) current smoker, iii) ex-smoker | Brief physician advice (GP or other health professional) on tobacco cessation (1 min screening and 8 min advice session) | Pharmaceutical intervention (NRT patch, NRT gum, Bupropion, Varenicline) | Health sector |
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| Vietnam, 2006 | Lifetime of population at baseline | 1-10 Years | Adult population 15 + yr at baseline, all risk levels | Int1: Excise tax increase (55-65%); Int2: Excise tax increase (55-75%); Int3: Excise tax increase (55-85%); Int4: Graphic warning labels on cigarette packs; Int5: Mass media campaigns; Int6: Smoking bans in public; Int7: Smoking bans in workplace. All enforced for 10 years. | No intervention | Government perspective (including initial investment in interventions) |
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| Pakistan, 2007 | 2 years | 2 Years | Adult male and females 40 + years, hypertensive | Home health education (HHE) and training of GPs on BP control - Int1 :HHE + trained GP; Int2 :HHE; Int3 : Trained GP | Current practice | Societal |
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| South Korea, 2007 | 12 weeks | 12 Weeks | Adults 20-64 yrs, BMI ≥ 25 kg/m2, waist circumference >90 cm men, 85 cm women, 30 min exercise 4 times/week | Protein-rich oriental diet and either of:- Int1: Public health centre behavioural program; Int2 : Remote behavioural program (internet, SMS) | None | Program funder perspective |
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| South East Asia Region (Indonesia, Sri Lanka, Thailand, Bangladesh, Bhutan, Dem Peop. Rep. Korea, India, Maldives, Myanmar, Nepal), 2000 | Lifetime of population at baseline or 100 years | Lifetime | Whole population | Population interventions for BP and cholesterol control: Int1:Voluntary agreements on salt content with manufacturers; Int2:Legislated salt limits in manufactured food; Int3:Mass media campaign; Int4 : Int2 + Int3 | Current practice | Government (implementation and health sector costs) |
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| Australia, 2005 | 1 year | 1 Session | Adults 18 + yrs at baseline from 10 rural communities in NSW, stratified by drinking behaviour | GP screening and brief intervention (1 session) | Current best practice | Health sector |
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| Australia, 1990 | 1 year | 1 Year | Adult male and female ambulance officers and paramedics | Int1:Health risk assessment (4x over 12 months); Int2 : Risk factor education (4x over 12 months plus reading material); Int3 : Behavioural counselling (risk factor education plus 1 session behavioural counselling); Int 4:Behavioural counselling plus financial incentives | No intervention | Program funder perspective |
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| South East Asia Region (Bangladesh, Bhutan, Dem. People’s Republic of Korea, India, Maldives, Myanmar, Nepal), 2005 | Lifetime of population at baseline or up to 100 yrs | 10 Years | Whole population 15 yrs+ | Interventions implemented for 10 years | No Intervention | Program funder and health sector |
| Int1: Taxes on tobacco (current excise taxation of 40%); Int2:Raise taxes on tobacco (increased excise taxation to 60%); Int3:Enforce bans on tobacco advertising; Int4:Clean indoor air in public places through legislation and enforcement; Int5:Warning labels on cigarette packs; Int6:Brief advice to help quit; Int7:Counselling to help quit; Int8: Voluntary reduction in salt in industry (15%); Int9: Legislated reduction in salt in industry (30%); Int10:Mass media education on BMI and cholesterol | |||||||
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| Australia, 1992 | 1 year | 1 Year | 25-65 yr old men and women with one or more of: overweight, hypertension, type 2 Diabetes mellitus | 6 sessions of counselling on good nutrition and exercise by: Int1: Doctor/dietician; Int2: Dietician only | No counselling | Program funder |
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| East Asia & Pacific, South Asia, 1995 | Lifetime of participants at baseline | Lifetime | Smokers 15 + years | Public policy control interventions: Int1: 10% price increase; Int2 :Non-price increase, non-pharmaceutical (e.g. mass media) | ‘Do nothing’ | Program funder (public sector) |
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| Australia, 2003 | Lifetime of participants at baseline | Lifetime | Whole population ≥20 years at baseline | Int1: Traffic light labelling of food based on nutritional content; Int2 :Junk food tax (10% rise in prices for consumers) | No intervention | Health sector (with some industry costs included) |
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| Australia, 1990 | Lifetime of participants at baseline | 1 Year | Male and female, selected by GP for at risk of CVD | Int1:Video intervention for lifestyle behaviours (n = 270); Int2:Video + self-help booklet (n = 232) | Routine care (n = 255) | Health sector (govt.) |
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| Australia, 2003 | 6 months | 6 Months | Whole adult population, smokers | Int1:Brief advice by health professional (2x 10 min visits); Int2:Telephone counselling (4x 10 min calls) | No intervention | Program funder (govt.) |
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| Fiji, Tonga, 2006 | Lifetime | Lifetime | Whole population | Policy changes around food price, storage, manufacture, items available for consumption | ‘Do nothing’ | Govt. (cost offsets excluded) |
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| Australia, 2012 | 10 years or death of baseline population | 10 Years | 10,000 adults ≥25 yrs with hypertension and metabolic syndrome, no CVD history (based on subsection of AusDiab Study participants) | Daily consumption of dark chocolate (500-1000 mg/day) | No dark chocolate consumption | Health sector |
Abbreviations: Int Intervention, CVD Cardiovascular Disease, GP General Practitioner, NRT Nicotine Replacement Therapy, HHE Home Health Education, BMI Body Mass Index, Govt Government.
Assessing risk of bias in studies included in the review
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| Uncertainty of compliance and subsidy rates (10, 20, 25, 50, 75, 100%); N/A; Health Sector | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
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| Simplified (sd +15% of mean, max and min + -60% mean); 3% (costs and effects); Health Sector | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
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| Monte Carlo (2000 iterations) 95% CI; 3% (costs and effects); Health Sector | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ |
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| Monte Carlo, 95% CI; 3% (costs and effects); Health Sector | ✗ | ✓ | ✓ | ✗ | ✓ | ✗ |
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| Monte Carlo (2000 iterations), 95% CI; 3% (costs and effects); Societal and health sectors | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
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| Monte Carlo, 95% CI; 3% (costs and effects); Health Sector | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
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| Monte Carlo, 95% CI; 3% (costs and effects); Health Sector | ✓ | ✓ | ✓ | ✓ | ✓ | ✗ |
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| Monte Carlo, 95% CI; 3% (costs and effects); Health Sector | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
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| Uni-variate (effect size, cost, utility, time horizon); 5% (future costs): Societal | ✗ | ✓ | ✓ | ✓ | ✗ | ✓ |
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| One-way (1000 simulations); 5% (future costs); Health Sector | ✗ | ✓ | ✓ | ✓ | ✗ | ✗ |
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| Least squares regression model, 95% CI; 5% (costs); Programme Funder | ✗ | N/A | ✗ | ✓ | ✗ | ✓ |
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| Monte Carlo (2000 iterations), 95% UI; 3% (costs and effects); Health Sector | ✓ | ✓ | ✓ | ✓✓ | ✓ | ✗ |
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| Monte Carlo (1000 iterations); 3%; Health Sector | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
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| Monte Carlo (2000 iterations), 95% CI; 3% (costs and effects); Health Sector | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
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| Monte Carlo (2000 iterations), 95% UI; 3% (costs and effects); Government (implementation and maintenance) | ✓ | ✗ | ✓ | ✓ | ✓ | ✗ |
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| Bayesian sensitivity (1000 repetitions), 95% CI; 5% (costs and effects); Societal | ✓ | ✗ | ✗ | ✓ | ✓ | ✓ |
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| No; N/A; Program Funder | ✓ | N/A | ✗ | ✓ | ✗ | ✓ |
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| Monte Carlo, multivariate uncertainty analysis (range unclear); 3% (costs and effects); Government (implementation and health sector costs) | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
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| One-way (sensitivity analysis range 39-59%); N/A; Health Sector | ✓ | N/A | ✓ | ✓ | ✓ | ✗ |
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| Multivariate; N/A; Program Funder | ✗ | N/A | ✓ | ✓ | ✗ | ✓ |
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| One way, probabilistic uncertainty analysis; 3% (costs and effects); Program Funder and Health Sector | ✗ | ✓ | ✗ | ✓ | ✓ | ✗ |
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| No; N/A; Program Funder | ✗ | N/A | ✓ | ✓ | ✓ | ✓ |
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| Uncertainty around discount rates; 3% (costs and effects); Program Funder (public sector) | ✗ | ✓ | ✓ | ✓ | ✓ | ✗ |
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| Monte Carlo (2000 iterations), 95% CI; 3% (costs and effects); Health Sector (with some industry costs included) | ✗ | ✗ | ✓ | ✓ | ✓ | ✗ |
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| One-way; 5% (costs and effects); Health Sector (govt) | ✓ | ✓ | ✓ | ✓ | ✗ | ✓ |
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| Multivariate (effectiveness, resource use and costs); N/A; Program Funder (govt.) | ✗ | N/A | ✓ | ✓ | ✗ | ✗ |
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| Monte Carlo (5000 iterations per country model); probabilistic uncertainty analysis of deaths averted; N/A: Govt. (cost offsets excluded) | ✗ | N/A | ✗ | ✓ | ✗ | ✗ |
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| Monte Carlo (1000 iterations) interquartile range; Uncertainty based on compliance levels; 5% (costs and effects): Health Sector | ✗ | ✗ | ✗ | ✓ | ✓ | ✗ |
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Abbreviations: Govt Government, CI Confidence Interval, UI Uncertainty Interval, sd Standard Deviation.
Cost-effectiveness of interventions
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| 2003 AUD | $16 million saved on IHD treatment | When 100% compliance, $20 subsidy per GP visit $810/DALY averted (all causes) | Very cost-effective |
| $18 million saved on stroke treatment | When 50% compliance, $25 subsidy rate, $11,000/DALY averted (all causes) | |||
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| 2005 US$ | At 20 yrs, compared to control – Int1 China $7785/DALY averted, India $6151/DALY averted; Int2 China $71/DALY averted, India $952/DALY averted; Int3 China $7188/DALY averted, India $15552/DALY averted; Int4 China cost-saving, India cost-saving | Int 1 Cost-effective in China, not cost-effective in India; Int 2 very cost-effective in China, cost-effective in India; Int 3 very cost-effective in China, not cost-effective in India; Int4 very cost-effective | |
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| 2003 AUD | Compared with current best practice: | Int1-5, 7-8 very cost-effective; Int 6 not cost-effective | |
| Int1 Dominant; Int2 Dominant; Int3 $3300/DALY averted; Int4 $6800/DALY averted; Int5 $10,000/DALY averted; Int6 $190,000/DALY averted; Int7 Dominant; Int8 $14000/DALY averted | ||||
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| 2003 AUD | Compared to ‘do nothing’ | Cost-effective | |
| Int1 $130,000/DALY averted; Int2 $140,000/DALY averted | ||||
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| 2003 AUD | Compared to ‘do nothing’ (medians) | Int 1-5 very cost-effective; Int 6 cost-effective | |
| Int1 Dominant; Int2 Dominant; Int3 $3000/DALY averted; Int4 $11,000/DALY averted; Int5 $18,000/DALY averted; Int6 $79000/DALY averted | ||||
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| 2003 AUD | Compared to ‘do nothing’ : | Int1 and 2 cost-effective; Int 3 not cost-effective; Int4 unlikely to be cost-effective | |
| Int1 Dominant; Int2 Dominant; Int3 $260000-$390000/DALY averted; Int4 160000-250000/DALY averted | ||||
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| 2003 AUD | Compared to ‘do nothing’, at 1 yr (assumed 50% decay in effectiveness after implementation): | Int 1-4 very cost-effective; Int 5 and 6 not cost-effective; Int7 cost-effective | |
| Int1 Dominant; Int2 $8600/DALY averted; Int3 $12000/DALY averted; Int4 $27000/DALY averted; Int5 $280000/DALY averted; Int6 $950000/DALY averted; Int7 $84000/DALY averted | ||||
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| 2008 AUD | Compared to ‘do nothing’: | Int1 and 2 very cost-effective; Int 3 and 4 cost-effective; Int 5 not cost-effective | |
| Int1 Dominant (Dominant to Dominant); Int2 $44000/DALY averted ($19000-$100000/DALY averted); Int3 $1000000/DALY averted ($610000-2400000/DALY averted); Int4 $1400000/DALY averted ($960000-2500000/DALY averted); Int5 $3200000/DALY averted ($1900000-5900000/DALY averted) | ||||
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| 2003 AUD | Compared to control: $46/QALY to $19800/QALY for all 8 interventions | Very cost-effective | |
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| 2001 NZ$ | Compared to control, at 40 year time point: | Very cost-effective | |
| For intervention implemented 1 year, effects lasting 4 years: $2053/QALY gained; Effects lasting 5 years: $1663/QALY gained; Effects lasting 10 years: $1160/QALY gained | ||||
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| 2001 NZ$ | At 12 months, compared to control: $1756 for 1 adult to move from a sedentary to active state; Program cost $170.45 per patient per year | Inconclusive | |
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| 2003 AUD | Compared to control: Int 1 $12000/DALY averted (cost saving -$68000/DALY averted); Int 2 $13000/DALY averted (cost saving -$130000/DALY averted) | Very cost-effective | |
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| 2007 VND | Int1 1945002/DALY averted; Int2 12324059/DALY averted; Int3 2416075/DALY averted; Int4 2211140/DALY | Compared to control: All interventions Dominated | Very cost-effective |
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| 2006 VND | 1742000/DALY averted (I$ 543/DALY averted) physician advice | Compared to control: All pharmaceuticals dominated by physician advice. | Physician advice very cost-effective; pharmaceutical interventions not cost-effective |
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| 2006 VND | Compared to control: All interventions dominate | Very cost-effective | |
| Int1 8600VND/DALY averted (3400, 20100);Int2 4200VND/DALY averted (1700, 9900); Int3 2900VND/DALY averted (1100, 6700); Int4 500VND/DALY averted (300,1200); Int5 78300VND/DALY averted (43700, 176300); Int6 67900VND/DALY averted (28200-332000); Int7 336800VND/DALY averted (169300, 822900) | ||||
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| 2007 US$ | Compared to no intervention: Int 1$23/mmHg ($7-$101/mmHg); Int 2 Dominated (dominated to 730/mmHg); Int 3 $206/mmHg (Dominated to $807/mmHg) | Inconclusive | |
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| 2007 US$ | Public health int $976/person to reach target weight; Remote int. $1637/person to reach target weight | Inconclusive | |
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| I$ 2000 | Int 1 $37/DALY averted; Int2$19/DALY averted; Int3 $14/DALY averted; Int4 $17/DALY averted (personal interventions $36-90/DALY) | Int 2 compared to Int3 $14/DALY averted; (Int 2 to Int 4) compared to (Int 3 to Int4) $20/DALY averted | Very cost-effective |
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| 2005-2006 AUD | Compared to ‘do nothing’: 10% increase in screening rate $217/risky drinker reducing alcohol consumption; 20% increase $205; 100% increase $216 | Inconclusive | |
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| 1990 AUD | Int3 (only intervention which reached the maintenance stage of behavioural intervention) $22.06/unit of CVD risk reduction | Inconclusive | |
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| I$ 2005 | Compared to no intervention: Int1 $116/DALY averted; Int2 $87/DALY averted; Int3 $187/DALY averted; Int4 $162/DALY averted; Int5 $195/DALY averted; Int6 $958/DALY averted; Int7 $1179/DALY averted; Int8 $197/DALY averted; Int9 $901991/DALY averted; Int10 $191/DALY averted | Int 1-5, 8, 10 very cost-effective; Int6 not cost-effective in Myanmar, cost-effective in Bangladesh, Dem Rep Korea, India, very cost-effective Bhutan, Maldives; Int7 not cost-effective in Myanmar or Nepal, cost-effective in Bangladesh, India, Dem Rep Korea, very cost-effective in Bhutan and Maldives; Int9 not cost-effective | |
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| 1993-4 AUD | Compared to control: Int 1 $9.76/extra kg lost (12% reduction in BP); Int 2 $7.30/extra kg lost (7% reduction in BP) | Inconclusive | |
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| 1997 USD | Compared to control: Int 1: East Asia & Pacific $2-50/DALY averted, South Asia $1-33/DALY averted; Int 2: East Asia & Pacific $25-510/DALY averted, South Asia $16-326/DALY averted | Int 1 Very cost-effective; Int 2 cost-effective to very cost-effective | |
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| 2003 AUD | Compared to ‘do nothing’: Int 1 Dominant ($30/DALY averted, 95% CI 20-40); Int 2 Dominant ($1800/DALY averted, 95% CI 1360-2170) | Very cost-effective | |
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| 1994 AUD | Compared to routine care, both interventions not cost-effective or effective (no significant change in risk); Except for Int 1 for high risk males $39440/LYS and $29574/QALY | Int 1 for high risk males very cost-effective | |
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| 2003 AUD | Brief advice: $1910/quitter ($1273-3820); Telephone counselling: $606/quitter ($505-757) | Inconclusive | |
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| 2006 Fiji dollar (FJD) | At 1 year Most effective: Tonga – Ban on sale of all fatty meats TOP 30974/6.61 deaths averted; Fiji – cool storage available at all markets | Inconclusive | |
| 2006 Tongan Pa’anga (TOP) | FJD1600149/65.54 deaths averted; Lowest costs: Tonga – removal of licensing requirements for roadside vendors selling local produce TOP0/death averted; Fiji- import duty (15%) added to all oils FJD396/17.43 deaths averted | |||
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| 2012 AUD | 100% compliance: $50,000/LYS | Very cost-effective |
NB. All studies are cost-effectiveness analyses. Abbreviations: CEA – Cost-Effectiveness Analysis; FJD – Fijian Dollar; TOP – Tongan Pa-anga; AUD – Australian Dollar; DALY – Disability-Adjusted Life Years; QALY – Quality-Adjusted Life Years; LYS – Life Years Saved; CI – Confidence Interval; USD – United States Dollar; I$ - international dollars; VND – Vietnamese Dong; mmHg – millimetres of mercury; NZ$ - New Zealand Dollar; Int – Intervention; yrs – years; ICER – Incremental Cost-Effectiveness Ratio.