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      Assessing Private Sector Involvement in Health Care and Universal Health Coverage in Light of the Right to Health

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      Health and Human Rights
      Harvard University Press

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          Abstract

          The goal of universal health coverage is to “ensure that all people obtain the health services they need without suffering financial hardship when paying for them.” There are many connections between this goal and the state’s legal obligation to realize the human right to health. In the context of this goal, it is important to assess private actors’ involvement in the health sector. For example, private actors may not always have the incentives to deal with externalities that affect the availability, accessibility, acceptability, and quality of health care services; they may not be in a position to provide “public goods”; or they may operate under imperfect information. This paper sets out to answer the question, what legal human rights obligations do states have in terms of regulating private sector involvement in health care?

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          Most cited references41

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          The anatomy of health care in the United States.

          Health care in the United States includes a vast array of complex interrelationships among those who receive, provide, and finance care. In this article, publicly available data were used to identify trends in health care, principally from 1980 to 2011, in the source and use of funds ("economic anatomy"), the people receiving and organizations providing care, and the resulting value created and health outcomes. In 2011, US health care employed 15.7% of the workforce, with expenditures of $2.7 trillion, doubling since 1980 as a percentage of US gross domestic product (GDP) to 17.9%. Yearly growth has decreased since 1970, especially since 2002, but, at 3% per year, exceeds any other industry and GDP overall. Government funding increased from 31.1% in 1980 to 42.3% in 2011. Despite the increases in resources devoted to health care, multiple health metrics, including life expectancy at birth and survival with many diseases, shows the United States trailing peer nations. The findings from this analysis contradict several common assumptions. Since 2000, (1) price (especially of hospital charges [+4.2%/y], professional services [3.6%/y], drugs and devices [+4.0%/y], and administrative costs [+5.6%/y]), not demand for services or aging of the population, produced 91% of cost increases; (2) personal out-of-pocket spending on insurance premiums and co-payments have declined from 23% to 11%; and (3) chronic illnesses account for 84% of costs overall among the entire population, not only of the elderly. Three factors have produced the most change: (1) consolidation, with fewer general hospitals and more single-specialty hospitals and physician groups, producing financial concentration in health systems, insurers, pharmacies, and benefit managers; (2) information technology, in which investment has occurred but value is elusive; and (3) the patient as consumer, whereby influence is sought outside traditional channels, using social media, informal networks, new public sources of information, and self-management software. These forces create tension among patient aims for choice, personal care, and attention; physician aims for professionalism and autonomy; and public and private payer aims for aggregate economic value across large populations. Measurements of cost and outcome (applied to groups) are supplanting individuals' preferences. Clinicians increasingly are expected to substitute social and economic goals for the needs of a single patient. These contradictory forces are difficult to reconcile, creating risk of growing instability and political tensions. A national conversation, guided by the best data and information, aimed at explicit understanding of choices, tradeoffs, and expectations, using broader definitions of health and value, is needed.
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            The potential of health sector non-governmental organizations: policy options.

            Non-governmental organizations (NGOs) have increasingly been promoted as alternative health care providers to the state, furthering the same goals but less hampered by government inefficiencies and resource constraints. However, the reality of NGO health care provision is more complex. Not only is the distinction between government and NGO providers sometimes difficult to determine because of their operational integration, but NGOs may also suffer from resource constraionts and management inefficiencies similar to those of government providers. Some registered NGOs operate as for-profit providers in practice. Policy development must reflect the strengths and weaknesses of NGOs in particular settings and should be built on NGO advantages over government in terms of resource mobilization, efficiency and/or quality. Policy development will always require a strong government presence in co-ordinating and regulating health care provision, and an NGO sector responsive to the policy goals of government.
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              Public stigma against family members of people with mental illness: findings from the Gilgel Gibe Field Research Center (GGFRC), Southwest Ethiopia

              Background Public stigma against family members of people with mental illness is a negative attitude by the public which blame family members for the mental illness of their relatives. Family stigma can result in self social restrictions, delay in treatment seeking and poor quality of life. This study aimed at investigating the degree and correlates of family stigma. Methods A quantitative cross-sectional house to house survey was conducted among 845 randomly selected urban and rural community members in the Gilgel Gibe Field Research Center, Southwest Ethiopia. An interviewer administered and pre-tested questionnaire adapted from other studies was used to measure the degree of family stigma and to determine its correlates. Data entry was done by using EPI-DATA and the analysis was performed using STATA software. Unadjusted and adjusted linear regression analysis was done to identify the correlates of family stigma. Results Among the total 845 respondents, 81.18% were female. On a range of 1 to 5 score, the mean family stigma score was 2.16 (±0.49). In a multivariate analysis, rural residents had significantly higher stigma scores (std. β = 0.43, P < 0.001) than urban residents. As the number of perceived signs (std. β = -0.07, P < 0.05), perceived supernatural (std. β = -0.12, P < 0.01) and psychosocial and biological (std. β = -0.11, P < 0.01) explanations of mental illness increased, the stigma scores decreased significantly. High supernatural explanation of mental illness was significantly correlated with lower stigma among individuals with lower level of exposure to people with mental illness (PWMI). On the other hand, high exposure to PWMI was significantly associated with lower stigma among respondents who had high education. Stigma scores increased with increasing income among respondents who had lower educational status. Conclusions Our findings revealed moderate level of family stigma. Place of residence, perceived signs and explanations of mental illness were independent correlates of public stigma against family members of people with mental illness. Therefore, mental health communication programs to inform explanations and signs of mental illness need to be implemented.
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                Author and article information

                Journal
                Health Hum Rights
                Health Hum Rights
                hhr
                Health and Human Rights
                Harvard University Press (USA )
                1079-0969
                2150-4113
                December 2016
                : 18
                : 2
                : 79-92
                Affiliations
                [1]Assistant Professor of International Law and International Human Rights Law at the University of Groningen, the Netherlands.
                [2]Professor of Human Rights and Health Law at the University of Groningen, the Netherlands.
                Author notes
                Please address correspondence to Antenor Hallo de Wolf or Brigit Toebes. Email: a.g.hallo.de.wolfrug.nl and b.c.a.toebes@ 123456rug.nl .

                Competing interests: None declared.

                Article
                hhr-18-02-079
                10.1371/journal.pmed.1001244
                5394993
                28559678
                9dba7203-03f0-4fc2-93a9-3e09aa53909e
                Copyright © 2016 Hallo de Wolf and Toebes

                This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.

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