Noncommunicable Diseases in Saudi Arabia

Page 89

Calculating the Economic Burden of NCDs in Saudi Arabia  | 67

cases or deaths in a given year. This approach is more appropriate for economic evaluations of NCD interventions because the costs are often immediate or ongoing, but the benefits of the interventions accrue well into the future. For this reason, the lifetime perspective is recommended for evaluating the cost-­ effectiveness of NCD interventions. Economic growth models tend to take this perspective. Broadly, three methods are used here to quantify the economic burden of ­d iseases: the cost-of-illness method, value of a statistical life method (­incidence-based costs only), and dynamic economic growth modeling. This chapter discusses how to calculate the economic burden of NCDs using each of these methods, summarizes existing evidence, and generates new evidence where possible. A final section concludes with a brief summary.

ECONOMIC BURDEN USING THE COST-OF-ILLNESS METHOD One common method for estimating both prevalence- and incidence-based costs is the static cost-of-illness method. This methodology can take one of several forms. For medical costs, a bottom-up approach for quantifying the burden of NCDs entails identifying the NCDs of interest, estimating the unit costs for treating each condition from claims data or other sources, multiplying prevalence (or incidence) times unit costs times population estimates, and, finally, summing across diseases to generate total costs. Using this method, the economic burden of seven major NCDs is analyzed for Saudia Arabia. The seven NCDs considered are coronary heart disease, stroke, diabetes mellitus, breast cancer, colon cancer, chronic obstructive pulmonary disease (COPD), and asthma. These seven NCDs are the most costly and prevalent NCDs in Saudia Arabia (UN Interagency Task Force on NCDs 2017) and thus also where data are most readily available. As shown in table 4.2, assuming a population size of 34,268,528 in 2019 (World Population Review 2020) and based on the unit cost estimates extrapolated from publicly available sources, a prevalence-based approach reveals the following: • The annual direct medical cost for seven NCDs in Saudia Arabia totals Int$9.7 billion (2019 international dollars) (WHO n.d.). • This cost represents 11 percent of annual health expenditures in Saudi Arabia or 0.6 percent of GDP (World Bank 2018). These results are somewhat lower than previous estimates for Saudi Arabia and globally. A 2011 World Health Organization (WHO) study compares costs across multiple Western countries for cardiovascular diseases, cancers, endocrine and metabolic diseases, and respiratory diseases and reports estimated costs for these diseases ranging from 19 percent of total annual health expenditures for Canada to 44 percent for Estonia (Garg and Evans 2011). A 2015 study using National Health Accounts data for Saudi Arabia estimates that these four diseases account for 21 percent of total health expenditures or roughly 1 percent of GDP (UN Interagency Task Force on NCDs 2017). There is large uncertainty in both the unit cost data and the prevalence data used in this analysis. Prevalence data are from the Institute for Health Metrics and Evaluation’s Global Burden of Disease database (IHME 2017). Cost data for coronary heart disease, stroke, diabetes mellitus, breast cancer, and colon cancer are from Ding et al. (2016). Cost data for COPD are from the United States (Dalal et al. 2010), Germany (Wacker et al. 2016), and Greece (Souliotis et al. 2017).


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9.2 Focus on three levels of prevention in the master plan

2min
page 226

sector

1min
page 228

Methodological approach Identification of stakeholders influencing and participating in

4min
pages 236-237

in Saudi Arabia

2min
page 241

diets in Saudi Arabia

2min
page 240

9.5 Benefits of targeting settings

1min
page 231

Prioritizing prevention over treatment

2min
page 225

References

30min
pages 208-218

plans

1min
page 223

Cost-effectiveness of screening

2min
page 198

Effectiveness of interventions to increase screening uptake

2min
page 201

8.6 Cost-effectiveness of screening

4min
pages 202-203

Diseases

1min
page 222

Cost-effectiveness of screening promotion interventions Information gaps, policy recommendations, and future research

2min
page 204

8.3 Recommendations regarding screening in comparative countries

4min
pages 196-197

Effectiveness of screening

2min
page 195

United States

2min
page 193

Screening in Saudi Arabia

2min
page 192

7.17 Evidence on cost-effectiveness of diet-related interventions

5min
pages 166-167

7.16 Evidence on cost-effectiveness of tobacco control interventions

3min
page 165

Cost-effectiveness of population-wide interventions

1min
page 164

7.13 Evidence on effectiveness of setting nutrition standards

2min
page 159

7.10 Evidence on effectiveness of BOP and FOP labeling

3min
page 157

e-cigarettes

2min
page 155

7.6 Evidence of effectiveness of e-cigarette tax

2min
page 154

Saudi Arabia

2min
page 152

Conclusions

1min
page 131

Saudi Arabia

2min
page 150

Saudi Arabia

2min
page 151

Noncommunicable Diseases

5min
pages 143-144

Plan

1min
page 128

Methodology

2min
page 124

References

17min
pages 116-122

Annex 5B: Methodology for estimating the impact of NCDs on HCI

2min
page 115

Annex 5A: Approaches to estimating the economic burden of NCDs

2min
page 114

North Africa

5min
pages 104-105

5.4 NCDs and human capital: Transmission mechanisms

15min
pages 107-112

Conclusions

2min
page 113

Summary and conclusions Annex 4A: Methodology for estimating the economic impact

2min
page 96

Economic burden using the value of a statistical life method Economic burden using the economic growth approach

5min
pages 93-94

References

4min
pages 61-62

3A.2 Adjusted decrease in salt intake and changes to systolic blood pressure in Saudi Arabia, by gender 3A.3 Prevalence estimates for overweight and obesity in Saudi Arabia, by age and

2min
page 78

Economic burden using the cost-of-illness method

2min
page 89

3 Disease prevalence in the employed working-age population in

3min
page 26

3.1 Years of life lost, years lost due to disability, and healthy life expectancy

3min
page 64

and 2019

1min
page 39

3.2 Definition of risk factors for at-risk populations

5min
pages 67-68

Conclusions

2min
page 76
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