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Does health insurance affect illness-related absenteeism at the workplace in Ghana?

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Abstract

The paper investigates whether health insurance expansion affects illness-related absenteeism at the workplace among workers in Ghana. The paper employs household- level data from the Ghana Living Standard Survey and applies count data estimation techniques to investigate how health insurance affects the expected time, workers spend out of work, due to illness. The results show that health insurance reduces the extent of illness-related absenteeism at the workplace. The decline in the extent of illness-related absenteeism at the workplace is observed for insured workers in both sectors of the economy, but the reduction is lower in the informal sector than in the formal sector. The reduction is also lower for younger than older workers.

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Notes

  1. Labour productivity in this analysis refers to the amount of goods and services that a worker produces in a given time.

  2. This usually occurs when the net benefit of insurance exceeds the net loss, when the value of lost output due to illness-related absenteeism exceeds the cost of insurance on illness-related absenteeism among older workers in the US. Lofland and Frick (2006) examine the effects of health insurance on workplace absenteeism in the US workforce and find that health insurance significantly reduced the number of workdays missed due to illness. A study by Dizioli and Pinheiro (2016) also investigates how health insurance affects labour productivity through a reduction in the expected time workers spend out of work on sick days. They find that workers with health insurance miss fewer workdays than those without health insurance. However, Vistnes (1997), who examines how insurance affects gender differences in days lost from work due to illness in the US, finds that insurance increases illness-related absenteeism in the workplace. These results make the findings inconclusive. Considering differences in healthcare access, mortality, morbidity and life expectancy rate between developed and developing countries, investigating the effect health insurance has on illness-related absenteeism at the workplace in a developing country context is important for health insurance policy analyses.

  3. Workers aged 15–49 years were classified as younger workers and 50–60 years as older workers. The study considered workers aged 50–60 years to be older workers because the retirement age for formal sector workers starts at 55 years (voluntary retirement age) and compulsory retirement is 60 years.

  4. The analysis in the paper concentrates on larger sample estimates to avoid gap in age range.

References

  • Asenso-Okyere WK, Anum A, Osei-Akoto I, Adukonu A (1998) Cost recovery in Ghana: are there any changes in health care seeking behaviour? Health Policy Plann 13(2):181–188

    Article  Google Scholar 

  • Boutayeb A (2006) The double burden of communicable and non-communicable dis- eases in developing countries. Trans Royal Soc Trop Med Hyg 100(3):191–199

    Article  Google Scholar 

  • Boutayeb A, Boutayeb S (2005) The burden of non-communicable diseases in developing countries. Int J Equity Health 4(1):2–5

    Article  Google Scholar 

  • Cameron AC, Trivedi PK, Milne F, Piggott J (1988) A microeconometric model of the demand for health care and health insurance in Australia. Rev Econom Stud 55(1):85–106

    Article  Google Scholar 

  • Card D, Dobkin C, Maestas N (2008) The impact of nearly universal insurance coverage on health care utilization: evidence from Medicare. Am Econom Rev 98(5):2242–2258

    Article  Google Scholar 

  • Cheng L, Liu H, Zhang Y, Shen K, Zeng Y (2015) The impact of health insurance on health outcomes and spending of the elderly: evidence from China’s new cooperative medical scheme. Health Econom 24(6):672–691

    Article  Google Scholar 

  • Cheng TC, Li J, Vaithianathan R (2018) Monthly spending dynamics of the elderly following a health shock: evidence from Singapore. Health Econom 28(1):23–43

    Article  Google Scholar 

  • Cheng TC, Li J, Vaithianathan R (2019) Monthly spending dynamics of the elderly following a health shock: evidence from Singapore. Health Econom 28(1):23–43

    Article  Google Scholar 

  • Chirwa DM (2016) Access to medicines and health care in sub-Saharan Africa: a historical perspective. Maryland J Int Law 31(1):21–43

    Google Scholar 

  • Conley TG, Hansen CB, Rossi PE (2012) Plausibly exogenous. Rev Econom Statist 94(1):260–272

    Article  Google Scholar 

  • Currie J, Madrian BC (1999) Health, health insurance and the Labour market. Handbook of Labor Economics. Elsevier, New Jersey, pp 3309–3416

    Google Scholar 

  • Davis K, Collins SR, Doty MM, Ho A, Holmgren AL (2005) Health and productivity among US workers. Issue Brief (Commonwealth Fund) 856(856):1–10

    Google Scholar 

  • Deaton AS, Tortora R (2015) People in sub-Saharan Africa rate their health and health care among the lowest in the world. Health Affairs 34(3):519–527

    Article  Google Scholar 

  • Dizioli A, Pinheiro R (2016) Health insurance as a productive factor. Labour Economics 100(40):1–24

    Article  Google Scholar 

  • Duku SKO, van Dullemen CE, Fenenga C (2015) Does health insurance premium exemption policy for older people increase access to health care? Evidence from Ghana. Journal of Aging & Social Policy 27(4):331–347

    Article  Google Scholar 

  • Finkelstein A, Taubman S, Wright B, Bernstein M, Gruber J, Newhouse J, Allen H, Baicker K (2012) The oregon health insurance experiment: evidence from the first year. Quart J Econom 127(3):1057–1106. https://doi.org/10.1093/qje/qjs020

    Article  Google Scholar 

  • Ghana Health Service (2009). An evaluation of the National Health Insurance Scheme in Ghana. Technical report, Bethesda, MD: Health Systems 20/20 Project and Abt Associates Inc.

  • Grabowski DC, Hirth RA (2003) Competitive spillovers across non-profit and for-profit nursing homes. J Health Econom 22(1):1–22

    Article  Google Scholar 

  • Hadley J (2003) Sicker and poorer—the consequences of being uninsured: a review of the research on the relationship between health insurance, medical care use, health, work, and income. Med Care Res Rev 60(S2):3S-75S

    Article  Google Scholar 

  • Holden L, Scuffham PA, Hilton MF, Ware RS, Vecchio N, White-Ford HA (2011) Which health conditions impact on productivity in working Australians? J Occupat Environ Med 53(3):253–257

    Article  Google Scholar 

  • Leive A, Xu K (2008) Coping with out-of-pocket health payments: empirical evidence from 15 African countries. Bull World Health Organizat 86(11):849-856C

    Article  Google Scholar 

  • Lofland JH, Frick KD (2006) Effect of health insurance on workplace absenteeism in the US workforce. J Occupat Environ Med 48(1):13–21

    Article  Google Scholar 

  • Mitchell RJ, Bates P (2011) Measuring health-related productivity loss. Populat Health Manag 14(2):93–98

    Article  Google Scholar 

  • Mohanty SK, Chauhan RK, Mazumdar S, Srivastava A (2014) Out-of-pocket expenditure on health care among elderly and non-elderly households in India. Soc Indicat Res 115(3):1137–1157

    Article  Google Scholar 

  • Murray CJ, Lopez AD (1997) Mortality by cause for eight regions of the world: global burden of disease study. Lancet 349(9061):1269–1276

    Article  Google Scholar 

  • Peters DH, Garg A, Bloom G, Walker DG, Brieger WR, Rahman MH (2008) Poverty and access to health care in developing countries. Ann New York Acad Sci 1136(1):161–171

    Article  Google Scholar 

  • Sasso ATL, Buchmueller TC (2004) The effect of the state children’s health insurance program on health insurance coverage. J Health Econom 23(5):1059–1082

    Article  Google Scholar 

  • Service, GS (2014) Ghana Living Standards Survey Round 6 (GLSS6) Ghana statistical service. Accra 6(1):151–161

  • Smith JP (1999) Healthy bodies and thick wallets: The dual relation between health and economic status. J Econom Perspect 13(2):145–166

    Article  Google Scholar 

  • Sparrow R, Poel EV, Hadiwidjaja G, Yumna A, Warda N, Suryahadi A (2014) Coping with the economic consequences of ill health in Indonesia. Health Econom 23(6):719–728

    Article  Google Scholar 

  • Stock, J. H. and Yogo M. (2005). Testing for weak instruments in linear IV regression chapter 5. In: identification and inference in econometric models: essays in honor of Thomas J Rothenberg, edited by DWK Andrews and JH Stock. Cambridge University Press: Cambridge and New York. pp 80-108

  • Terza JV, Basu A, Rathouz PJ (2008) Two-stage residual inclusion estimation: addressing endogeneity in health econometric modeling. J Health Econom 27(3):531–543

    Article  Google Scholar 

  • Vistnes JP (1997) Gender differences in days lost from work due to illness. ILR Rev 50(2):304–323

    Article  Google Scholar 

  • Wang H, Yip W, Zhang L, Hsiao WC (2009) The impact of rural mutual health care on health status: evaluation of a social experiment in rural China. Health Econom 18(S2):S65–S82

    Article  Google Scholar 

  • Wooldridge JM (2010) Econometric analysis of cross section and panel data. MIT Press

    Google Scholar 

  • Xu X, Jensen GA (2012) Does health insurance reduce illness-related worker absenteeism? Appl Econom 44(35):4591–4603

    Article  Google Scholar 

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Acknowledgements

I am very grateful to Dr Terence Cheng from the University of Adelaide, now at Harvard University for his advice, helpful comments, and generosity with his time. I am also grateful to participants of the 40th Australian Health Society conference for their insightful comments.

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This research did not receive any specific grant from funding agencies in the public, commercial or non-for-profit sectors.

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Correspondence to Frank Darkwah.

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Darkwah, F. Does health insurance affect illness-related absenteeism at the workplace in Ghana?. J. Soc. Econ. Dev. 26, 555–581 (2024). https://doi.org/10.1007/s40847-023-00256-x

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