Health Insurance and Health

Dor, Avi; Umapathi, E.

doi:10.1016/b978-0-12-375678-7.00913-5

Cited by 6 publications

(8 citation statements)

References 20 publications

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“…1 Most research shows that health insurance coverage reduces the risk of death and improves health outcomes, with certain vulnerable populations, such as infants, people with disabilities and people living with the human immunodeficiency virus, benefitting more than the general population. 2 In addition, evidence suggests that continuity of health insurance coverage, as opposed to sporadic or no coverage, is particularly effective in maintaining health. 2 Different models of insurance schemes have been established by different countries based on their socioeconomic conditions and cultural contexts.…”

Section: Introductionmentioning

confidence: 99%

“…2 In addition, evidence suggests that continuity of health insurance coverage, as opposed to sporadic or no coverage, is particularly effective in maintaining health. 2 Different models of insurance schemes have been established by different countries based on their socioeconomic conditions and cultural contexts. There are three broad and often overlapping categories of health insurance schemes: national or social health insurance; voluntary and private health insurance; and community-based health insurance.…”

Section: Introductionmentioning

confidence: 99%

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Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance

Ali

Caals

2020

Bull. World Health Organ.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance

Ali

Caals

2020

Bull. World Health Organ.

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“…We review in this section the principal prior studies of the impact of health insurance on mortality. See Dor and Umapathi (2014) for a more complete review. We discuss in later sections studies of the impact of health insurance on health-care utilization and on health while alive.…”

Section: Literature Review and Methodological Backgroundmentioning

confidence: 99%

“…None are likely to satisfy the "exclusion restriction" that the instrument must predict health status only through insurance, not directly or through an omitted variable (such as income or wealth, which they oddly do not use as covariates). A number of other studies also use instrumental variables (see the review byDor and Umapathi (2014)). We are not convinced that any satisfy the exclusion restriction.…”

mentioning

confidence: 99%

The Long-Term Effect of Health Insurance on Near-Elderly Health and Mortality

Black

Espín-Sánchez

French

et al. 2017

American Journal of Health Economics

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b e rna rd b l ac k j o s é-a n ton i o e sp í n-s á n c h e z e ri c f re n c h kat e l i t va k A B S T R A CT We use the best available longitudinal data set, the Health and Retirement Study, and a battery of causal inference methods to provide both central estimates and bounds for the long-term effect of health insurance on health and mortality among the near-elderly (initial age 50-61) over a 20-year period. Compared with matched insured persons, those uninsured in 1992 consume fewer health-care services, but their health (while alive) does not deteriorate relative to the insured, and, in our central estimates, they do not die significantly faster than the insured. Our upper and lower bounds suggest that prior studies have greatly overestimated the health and mortality benefits of providing health insurance to the uninsured.

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“…These studies concluded that existing evidence supported that insurance improved health, at least in specific populations (such as HIV-positive individuals), but that more research was needed. More recent reviews have focused on specific public insurance programs (Howell & Kenney, 2012), focused on methodological considerations (Wallace & Sommers, 2016), or focused on a small sample of studies (Dor & Umapathi, 2014;Sommers, Gawande, & Baicker, 2017). Table 2 presents the main findings from identified studies that used experimental and quasi-experimental methods to study the impact of health insurance on health.…”

Section: Health Outcomesmentioning

confidence: 99%

Lifetime Consequences of Early-Life and Midlife Access to Health Insurance: A Review

2017

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Over the past decade, the number of studies examining the effects of health insurance has grown rapidly, along with the breadth of outcomes considered. In light of growing research in this area and the intense policy focus on coverage expansions in the United States, there is need for an up-to-date and comprehensive literature review and synthesis of lessons learned. We reviewed 112 experimental or quasi-experimental studies on the effects of health insurance prior to people becoming eligible for Medicare on a broad set of outcomes. Over the past decade, evidence related to the effect of increased access to health insurance has strengthened, illuminating that children and vulnerable adults are most likely to see health and economic benefits. We identified promising areas for future study in this active and burgeoning research area, noting benefit design of health insurance and outcomes such as government program participation and self-reported health status as targets.

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Health Insurance and Health

Cited by 6 publications

References 20 publications

Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance

Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance

The Long-Term Effect of Health Insurance on Near-Elderly Health and Mortality

Lifetime Consequences of Early-Life and Midlife Access to Health Insurance: A Review

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