Estimating the Economic Impact Due to Productivity Losses of Diabetes and Major Depressive Disorder in Singapore: Human Capital Versus Friction cost Approaches

Brooks-Rooney, C.; Griffiths, Matt; Chen, G

doi:10.1016/j.jval.2016.08.533

Cited by 3 publications

(3 citation statements)

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“…The HC approach assumes that lost productive time is not compensated for by other workers or by work outside normal hours, which may not fully reflect reality. While there is no definitive agreement among health economists as to the most appropriate approach to take when estimating productivity losses, it has been demonstrated that alternative approaches, including the friction cost (FC) approach, may lead to lower estimates of productivity losses than the HC approach . However, the FC methodology cannot be used to estimate productivity losses due to presenteeism and given that presenteeism had a larger impact on productivity losses than absenteeism in the present study, we feel that the HC approach was appropriate for this analysis.…”

Section: Discussionmentioning

confidence: 80%

Impact of ledipasvir/sofosbuvir on the work productivity of genotype 1 chronic hepatitis C patients in Asia

Younossi

Chan

Dan

et al. 2017

Journal of Viral Hepatitis

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Chronic, untreated hepatitis C virus (HCV) infection is associated with a poor clinical prognosis and a detrimental impact on patients' lives, including on work productivity. To estimate the value of productivity losses due to genotype 1 (GT1) HCV infection in Hong Kong, Singapore, South Korea and Taiwan and to estimate the potential productivity gains associated with treating patients with ledipasvir/sofosbuvir (LDV/SOF) therapy, an economic model was developed with a time horizon of 1 year. Hepatitis C virus patients entered the model at 12 weeks post-treatment, having achieved or not achieved sustained virological response (SVR). Absenteeism and presenteeism rates were taken from a pooled analysis of data from the ION 1-3 studies. These rates were converted into hours of lost productivity, multiplied by the average wage and applied to the total employed, adult GT1 population in each country. Results were compared assuming no treatment, and assuming all patients were treated with LDV/SOF. Total productivity losses due to untreated HCV were: $11.3 million, $17.1 m, $146.0 m and $349.1 m in Hong Kong, Singapore, South Korea and Taiwan. LDV/SOF treatment resulted in economic gains of $4.5 m, $6.8 m, $58.7 m and $138 m, respectively. These gains were due to reduced presenteeism. The results were sensitive to changes in the prevalence of HCV and the average wage. In conclusion, productivity losses due to untreated HCV infection represent a substantial economic burden. By instituting universal HCV treatment with LDV/SOF (or other therapies with high SVR rates), productivity gains can be achieved.

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Section: Discussionmentioning

confidence: 80%

Impact of ledipasvir/sofosbuvir on the work productivity of genotype 1 chronic hepatitis C patients in Asia

Younossi

Chan

Dan

et al. 2017

Journal of Viral Hepatitis

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“…The burden of chronic non-communicable diseases, especially diabetes, is an issue of increasing concern to governments. Many studies have researched the impact of diabetes on productivity losses at the global level [10] and country level [11][12][13][14][15][16][17][18][19]. Given the significant productivity losses due to diabetes in other countries, there are surprisingly few studies about diabetes productivity losses in China.…”

Section: Introductionmentioning

confidence: 99%

Productivity Losses Due to Diabetes in Urban Rural China

Nicholas

et al. 2022

IJERPH

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Background: Productivity losses due to diabetes are increasing in China, but research about the impact of diabetes on productivity in urban and rural areas requires further in-depth study. This article provides the first estimate of the cost of productivity losses attributed to diabetes in individuals 20–69 years old in urban and rural areas of China. Methods: The human capital approach is employed to measure the productivity losses attributed to absenteeism, presenteeism, labor force dropout, and premature deaths due to diabetes of the 20–69-year-old population of males and females in urban and rural areas of China. Based on the life table modelling, we calculate the years of potential life lost and working years of life lost of people with diabetes. Results: In 2017, we estimated that there were 100.46 million people with diabetes, with the total cost of productivity losses being USD 613.60 billion, comprising USD 326.40 billion from labor force dropout, USD 186.34 billion from premature death, USD 97.71 billion from absenteeism, and USD 27.04 billion from presenteeism. Productivity loss was greater in urban (USD 490.79 billion) than rural areas (USD 122.81 billion), with urban presenteeism (USD 2.54 billion) greater than rural presenteeism (USD 608.55 million); urban absenteeism (USD 79.10 billion) greater than rural absenteeism (USD 18.61 billion); urban labor force dropout (USD 261.24 billion) greater than rural labor force dropout (USD 65.15 billion); and urban premature death (USD 147.90 billion) greater than rural premature death (USD 38.44 billion). Conclusions: Diabetes has a large and significant negative impact on productivity in urban and rural China. Productivity loss is significantly higher in urban versus rural regions. Further investment is required in the prevention, diagnosis, and control of diabetes in under-resourced health services in rural locations as well as in urban areas, where most diabetes cases reside. Specifically, targeted and effective diabetes prevention and management actions are urgently required.

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“…(US$1) million in Norway [19]. In Singapore, the productivity losses due to diabetes was US$139.3 million, made up of US$27.1 million for absenteeism and presenteeism, and US$112.2 million for premature mortality death in 2016 [20].…”

Section: Introductionmentioning

confidence: 99%

Productivity losses due to diabetes in urban and rural China

Wang

Leng

et al. 2021

Preprint

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Objective: To provide the first estimates of the cost of productivity losses attributed to diabetes age 20-69 years old in urban and rural areas of China. Methods: Construct through life table modelling, expectancy life of diabetes sufferers, including the years of potential life lost and working years of life lost. Using the human capital approach, we measured the productivity losses attributed to absenteeism, presenteeism, labor force dropout and premature deaths due to diabetes of the population aged 20-69 years in urban and rural areas in China. Results: In 2017, we estimated that there were 100.46 million diabetes lost hours, with the total cost of productivity losses US$613.60 billion, comprising US$326.40 billion from labor force dropout, US$186.34 billion from premature death, US$97.71 billion from absenteeism, and US$27.04 billion from presenteeism. Productivity loss was greater in urban (US$490.79 billion) than rural areas (US$122.81 billion), with urban presenteeism (US$2.54 billion) greater than rural presenteeism (US$608.55 million); urban absenteeism (US$79.10 billion) greater than rural absenteeism (US$18.61 billion); urban labour force dropout (US$261.24 billion) greater than rural labour force dropout (US$65.15 billion) and urban premature death (US$147.90 billion) greater than rural premature death (US$38.44 billion). Conclusions: Diabetes had a large and significant negatively impact on productivity in urban and rural in China, with a significant gap in the level of diabetes management in urban compared to rural regions. Productivity loss was significantly higher in urban than rural regions. Further investment is required in the prevention, diagnosis and control of diabetes in under-resourced health services in rural locations and also in urban areas, where most diabetes cases reside. Specifically, targeted and effective diabetes prevention and management actions are urgently required.

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Estimating the Economic Impact Due to Productivity Losses of Diabetes and Major Depressive Disorder in Singapore: Human Capital Versus Friction cost Approaches

Abstract: The calculation approach (HC vs FC) can have a substantial impact on the estimates. Incorporation of productivity losses into decision-making for healthcare interventions would need to carefully consider which approach is most appropriate for Singapore.

Cited by 3 publications

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Impact of ledipasvir/sofosbuvir on the work productivity of genotype 1 chronic hepatitis C patients in Asia

Impact of ledipasvir/sofosbuvir on the work productivity of genotype 1 chronic hepatitis C patients in Asia

Productivity Losses Due to Diabetes in Urban Rural China

Productivity losses due to diabetes in urban and rural China

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