Dataset Information

HOW DO CHANGES IN INCOME, EMPLOYMENT AND HEALTH INSURANCE AFFECT FAMILY MENTAL HEALTH SPENDING?

ABSTRACT: Using eight two-year panels from the Medical Expenditure Panel Survey data for the period 2004 to 2012, we examine the effect of economic shocks on mental health spending by families with children. Estimating two-part expenditure models within the correlated random effects framework, we find that employment shocks have a greater impact on mental health spending than do income or health insurance shocks. Our estimates reveal that employment gains are associated with a lower likelihood of family mental health services utilization. By contrast employment losses are positively related to an increase in total family mental health. We do not detect a link between economic shocks and mental health spending on behalf of fathers.

SUBMITTER: Grafova IB

PROVIDER: S-EPMC7014816 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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HOW DO CHANGES IN INCOME, EMPLOYMENT AND HEALTH INSURANCE AFFECT FAMILY MENTAL HEALTH SPENDING?

Grafova Irina B IB Monheit Alan C AC Kumar Rizie R

Review of economics of the household 20181107 1

Using eight two-year panels from the Medical Expenditure Panel Survey data for the period 2004 to 2012, we examine the effect of economic shocks on mental health spending by families with children. Estimating two-part expenditure models within the correlated random effects framework, we find that employment shocks have a greater impact on mental health spending than do income or health insurance shocks. Our estimates reveal that employment gains are associated with a lower likelihood of family m ...[more]

PMID: 32051683

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Project description:Many people residing in low-income and middle-income countries (LMICs) are regularly exposed to catastrophic healthcare expenditure. It is therefore pertinent that LMICs should finance their health systems in ways that ensure that their citizens can use needed healthcare services and are protected from potential impoverishment arising from having to pay for services. Ways of financing health systems include government funding, health insurance schemes and out-of-pocket payment. A health insurance scheme refers to pooling of prepaid funds in a way that allows for risks to be shared. The health insurance scheme particularly suitable for the rural poor and the informal sector in LMICs is community-based health insurance (CBHI), that is, insurance schemes operated by organisations other than governments or private for-profit companies. We plan to search for and summarise currently available evidence on factors associated with the uptake of CBHI, as we are not aware of previous systematic reviews that have looked at this important topic.This is a protocol for a systematic review of the literature. We will include both quantitative and qualitative studies in this review. Eligible quantitative studies include intervention and observational studies. Qualitative studies to be included are focus group discussions, direct observations, interviews, case studies and ethnography. We will search EMBASE, PubMed, Scopus, ERIC, PsycInfo, Africa-Wide Information, Academic Search Premier, Business Source Premier, WHOLIS, CINAHL and the Cochrane Library for eligible studies available by 31 October 2013, regardless of publication status or language of publication. We will also check reference lists of included studies and proceedings of relevant conferences and contact researchers for eligible studies. Two authors will independently screen the search output, select studies and extract data, resolving discrepancies by consensus and discussion. Qualitative data will be extracted using standardised data extraction tools adapted from the Critical Appraisal Skills Program (CASP) qualitative appraisal checklist and put together in a thematic analysis where applicable. We will statistically pool data from quantitative studies in a meta-analysis; but if included quantitative studies differ significantly in study settings, design and/or outcome measures, we will present the findings in a narrative synthesis. This protocol has been registered with PROSPERO (ID=CRD42013006364).Recommendations will be made to health policy makers, managers and researchers in LMICs to help inform them on ways to strengthen and increase the uptake of CBHI.

Project description:ObjectiveTo review the evidence of supported employment interventions in low-to-middle income countries, documents their impact for persons with mental disorders in the open labour market and well as support decision making for its wider implementation in the workplace.DesignThe scoping review is conducted following guidelines in the Arksey and O'Malley (2005) Framework.Data sources and eligibilityEleven databases which are PubMed, Scopus, Academic Search Premier, the Cumulative Index to Nursing and Allied Health Literature, Africa-Wide Information, Humanities International Complete, Web of Science, PsychInfo, SocINDEX, Open Grey and Sabinet were searched for articles published between January 2006 and January 2022. Both peer-reviewed articles and grey literature were eligible if they were on supported employment interventions in low-to-middle income countries. Only articles published in English were included.Study appraisal and synthesisArticles were screened at title, abstract and full article levels by two independent teams with the use of Rayyan software. Deductive thematic analysis was used to synthesize evidence on the supported employment interventions implemented in LMICs, capturing evidence of their outcomes for persons with mental disabilities securing competitive work.ResultsThe search yielded 7347 records and after screening by title and abstract, 188 studies were eligible for full article screening. Eight studies were included in this scoping review. Thematic descriptions of the findings were based on the availability of supported employment interventions within the context, the type of supported employment interventions as well as mental health and vocational outcomes in the workplace.ConclusionsThere is limited evidence of supported employment interventions in low-to-middle income countries despite the promising potential it has as an intervention to address mental health problems in the workplace and facilitate work participation by persons with mental disabilities.

Project description:ObjectivesTo investigate the consequences of endogeneity bias on the estimated effect of having health insurance on health at age 63 or 64, just before most people qualify for Medicare, and to simulate the implications for total and public insurance (Medicare and Medicaid) spending on newly enrolled beneficiaries in their first years of Medicare coverage.DataThe longitudinal Health and Retirement Survey of people who were 55-61 years old in 1992, followed through biannual surveys to age 63-64 or until 2000 (whichever came first), and those who were 66-70 years olds from the Medicare Current Beneficiary Surveys, 1992-1998.Study designInstrumental variable (IV) estimation of a simultaneous equation model of insurance choice and health at age 63-64 as a function of baseline health and sociodemographic characteristics in 1992 and endogenous insurance coverage over the observation period.FindingsContinuous insurance coverage is associated with significantly fewer deaths prior to age 65 and, among those who survive, a significant upward shift in the distribution of health states from fair and poor health with disabilities to good to excellent health. Treating insurance coverage as endogenous increases the magnitude of the estimated effect of having insurance on improved health prior to age 65. The medical spending simulations suggest that if the near-elderly had continuous insurance coverage, average annual medical spending per capita for new Medicare beneficiaries in their first few years of coverage would be slightly lower because of the improvement in health status. In addition, total Medicare and Medicaid spending for new beneficiaries over their first few years of coverage would be about the same or slightly lower, even though more people survive to age 65.ConclusionsExtending insurance coverage to all Americans between the ages of 55 and 64 would improve health (increase survival and shift people from good-fair-poor health to excellent-very good health) at age 65, and possibly reduce total short-term spending by Medicare and Medicaid for newly eligible Medicare beneficiaries, even though more people would enter the program because of increased survival.

Dataset Information

HOW DO CHANGES IN INCOME, EMPLOYMENT AND HEALTH INSURANCE AFFECT FAMILY MENTAL HEALTH SPENDING?

Publications

HOW DO CHANGES IN INCOME, EMPLOYMENT AND HEALTH INSURANCE AFFECT FAMILY MENTAL HEALTH SPENDING?

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