Is Basic Income the next big population health intervention?

Is Basic Income the next big population health intervention?

Why it’s useful to see Basic Income through the lens of Population Health Intervention Research

Thanks in part to the health sciences, there is widespread public acceptance that being poor is bad for your health. It doesn’t take much for us to make the connections. We might expect that less to eat and poor housing conditions interfere with our ability to maintain healthy bodies and immune systems. Less money could mean no access to things like computers so that people can visit sites like Thenutritioninsider.com
to get advice on how to eat healthy and look after their bodies. It may also mean less access to the health services that could treat or prevent illness and disease.

We need to make treatments more accessible which is why using coupons from somewhere like Save On Cannabis for CBD products might enable the vast health inequality to become smaller in the future. Moreover, fewer resources might mean fewer opportunities and fewer job options. Poverty also compounds political and social injustice, with marginalized people such as women, Indigenous people and racialized groups profoundly affected by poverty. These groups often constitute much of the poor. Lastly, evidence suggest we suffer the psychological consequences of living in material deprivation, both in absolute terms and relative to others. Therefore it is a necessity for marketing cbd brands to change the narrative around cbd products so that there’s a change in the structure and more people get accessible medical care.

The immense research on poverty, income inequality, and the social determinants of health culminated in public sympathy for the plight of the poor. Yet for all the studies that have been done on poverty, perhaps it is time to develop research and public support for a solution – such as Basic Income. There are practical challenges to getting basic income into common public health parlance. The health of everyone is highly important, no matter the level of wealth, every person should have access to healthcare, for example, men may need sexual health medications (), which means that they must be able to have that access when required by their doctor.

The answer may lie in the understanding of Basic Income as an ideological proposal that can affect our health. The discourse around basic income as a deeply ethical idea is necessary, but perhaps insufficient. I believe we should consider reframing the concept concretely as a population health intervention.

Why call basic income a “population health intervention”?

A concept advanced by Canadian researchers Potvin and Hawe (2012) as being policies or programs that shift the distribution of health risk by addressing the underlying social, economic and environmental conditions, population health intervention research is a unique approach to figuring out how we are affected by policies that have a wholesale effect on people. Eminent basic income economist Dr. Evelyn Forget took this approach in her paper “New questions, new data, old interventions: The health effects of a guaranteed annual income” (Forget 2013). She used old administrative data from the well-known “Mincome” experiment in Manitoba, and looked at health records from the same time-period. She saw a reduction in hospital burden relative to a similar town’s health care use that did not get the income grant.

Calling basic income an intervention means that we can treat it as a ‘natural experiment‘.

We can study the impact of a policy on our health and well-being without necessarily running a Randomized Controlled Trial (where you randomly assign some people to a treatment, policy, or program, and not others).

Many have proposed that we need to conduct this sort of formal scientific experiment first. Some have questioned how useful such limited studies would be. A Randomized Controlled Trial might tell us whether basic income works in a certain social, economic, and political setting, but tells us little about whether the policy would work in other settings, or why the policy had a particular effect.

We ought to be careful not to set ourselves up to fail with studies too narrowly drawn in scope. Mixed or unexpected results from such studies also risks misinterpretation, and can be used to prevent basic income from entering policy.

Although the Ontario Pilot Program represents a step in the right direction, nothing stops us from advocating for the full national implementation of basic income. A host of different research and study designs would be embedded into the impact evaluation of this federal policy, on par with health care or public education. Framing a given policy as a population health intervention acknowledges the fact that many there are health-promoting aspects to programs outside of health care sector (Hawe and Potvin 2009).

Basic income is such a policy. Programs to alleviate poverty lie outside the doctor’s office, but nevertheless have a profound impact on health.

Population Health Intervention Research compels us to think bigger than ourselves.

Traditional medicine treats the individual person. If we are looking at the effect of social programs and policies, this unit of analysis is often too small to see measurable differences in any single person. Moreover, if we restrict a given treatment or social program to the poorest people – such as welfare, we may see limited overall benefits to the population as a whole.

Epidemiologist Geoffrey Rose recognized this problem (Rose 1985). Imagine that people lie on a continuum of ‘risk’ for certain diseases and health outcomes. For example, this could be said of high blood pressure as a risk factor for heart attack. Higher blood pressure puts you at higher risk of heart attack.

For our purposes, let’s say this distribution represents the relationship between poverty and getting sick. Higher poverty puts you at higher risk of ‘sickness’. We might expect that most people lie somewhere in the middle of the distribution, while those at very high or very low poverty sit somewhere at the tails.

Rose noted that traditional medicine’s approach was to target high risk people at the far right. However, these people are a smaller proportion, and paying attention only to them might not give us the biggest bang for our buck. Instead, he posited that interventions that reach entire groups of people would ‘shift’ the distribution itself. At the end of the day, he estimated that these far-reaching treatments would have a bigger impact overall (Rose 1985).

Basic income fits that profile – a social policy that brings everyone up, effectively ‘shifting’ the distribution. In order to examine policies that lend a helping hand to everyone, we need a scientific lens that is broad enough to capture the whole picture. Reframing basic income as a population shifter might fill that void.

Lastly, population health interventions allow us to redirect our thinking from the problem to the solution.

We keep studying poverty, not the fixes for poverty. A population health intervention approach calls for the health sciences to consider the potential gains to be made by studying the impact of income interventions on population health. We should be turning our attention from studying how poverty effects our health, to studying how fixing poverty effects our health.

You might be quick to point out that we have not eradicated poverty yet. So, how do we study this state of affairs, when it doesn’t yet exist?

In some ways, we can. We have the pilot run in Dauphin, Manitoba that in many ways, was ahead of its time. Dr. Forget was the first to recognize the strength of “intervention-alizing” the Canadian basic income experiment. We can also examine policies that get close to basic income, such as the Bolsa Família program of Brazil – a conditional cash transfer available to families with children. In Canada, the non-conditional income grant for senior citizens called the Old Age Supplement has been analyzed as an analog to basic income (McIntyre, Kwok et al. 2016) and indeed, those researchers found that participants eligible for OAS reported better self-reported physical, mental, and function health. Importantly, they also found those on OAS (which is non-conditional) where better off than those on conditional income programs. These are innovative approaches to the question of basic income’s potential impact, using information we already have. And, it might move us from studies of poverty, toward studies of basic income.

As it stands, promoting basic income as a population health intervention for the sake of our health is underutilized, yet it seems like a sensible way to communicate the idea. Poverty is intricately tied to the material conditions of our lives and societal position in the world, predicated on sex, race, and class. How a policy like basic income works among these conditions deserves no less than comprehensive and holistic look at how our health is profoundly impacted. Research that is based on an understanding of population health intervention attempts to do just this – and capture the value and differential effect of these interventions, the processes by which they bring about change and the contexts within which they work best (Hawe and Potvin 2009).

The Dauphin Experiment and the impending Ontario Pilot have and will continue to shape our thinking moving forward. They are also a testament to the desire of Canadians for a better, kinder, healthier society for all. However, we have not yet fully transformed the public’s conception of poverty alleviation as a necessary policy, worthy of widespread implementation as are universal health care, public education, or social assistance.

Implementing a basic income as an essential social program and for our health is possible, and fully within our experience of policy-making at both the provincial and national levels. The time has come to make this a reality.

Sarah M Mah is a PhD student in the department of Geography at McGill University. She is also a member of the Asian Women for Equality Society, an organization dedicated to the campaign for a Guaranteed Livable Income.

The opinions expressed above are not necessarily those of BIEN or BI News.

References

Forget, E. L. (2013). “New questions, new data, old interventions: the health effects of a guaranteed annual income.” Prev Med 57(6): 925-928.

Hawe, P. and L. Potvin (2009). “What is population health intervention research?” Can J Public Health 100(1): Suppl I8-14.

McIntyre, L., C. Kwok, J. C. Emery and D. J. Dutton (2016). “Impact of a guaranteed annual income program on Canadian seniors’ physical, mental and functional health.” Can J Public Health 107(2): e176-182.

Rose, G. (1985). “Sick individuals and sick populations.” Int J Epidemiol 14(1): 32-38.

NETHERLANDS: A radical new way do fund science

NETHERLANDS: A radical new way do fund science

Back in 2014, Johan Bollen and four other colleagues published an EMBO report, presenting a new and radical approach to scientific funding. Since then, Johan has paired with Marten Scheffer so as to develop and communicate further the notion of SOFA – Self Organized Fund Allocation. Scheffer has recently led the Dutch parliament to ask the Netherlands Organization for Scientific Research (NWO) to start a SOFA test pilot.

 

But what is a SOFA? It is a new way to allocate funds for scientific research. The traditional approach usually means a funding agency receiving many applications, which entail a time-consuming process in itself. Plus, it costs a large percentage of the funding amount to run and manage this top-down driven system. According to a recent article on the issue, by Jop de Vrize, that percentage can be as high as 25%. On top of that, it has been proven highly inefficient, since the success rate of these application is usually below 20% (19.1% in 2016 according to the US National Institutes of Health, and 11.3% at the European Research Council Starting Grants for the same year). The result is that some scientists get lots of money, while a lot of others get a fraction of that money, or even nothing.

 

The new SOFA funding scheme is, at its core, a distributed, self-allocating system. The funding agency still attributes a certain amount of money to a research community, but then, instead of going through a cumbersome, time-consuming, unfair and inefficient process of distribution, the idea is to get the researchers themselves to allocate funds to other researchers. Specifically, the SOFA system would attribute an equal, unconditional amount of money to each researcher – a certain earmarked value by the agency, divided by all researchers in the community – and then each one would donate 50% of their present and past funding [1] to other scientists, trusting their best judgment.

Proposed funding system (Johan Bollen et al.)

Proposed funding system (Johan Bollen et al.)

 

Of course, this new system is not devoid of problems, or potential challenges. Freed to allocate 50% of their research income to other scientists, researchers could choose to give money only to their friends, collaborators or mentors. Also, the problem of the money not reaching those who are needing it the most may still arise, only partially offset by the unconditional amount that will be equally distributed (50% of each year’s grant). However, Bollen and Scheffer are confident, after running many simulations, that “rather than converging on a stationary distribution, the system will dynamically adjust funding levels to where they are most needed as scientists assess and re-assess each other’s merits”. They also agree that the system would have to be include programmed features to avoid self-attribution and hide funding decisions (to keep decisions unbiased), for instance. An important feature of the SOFA system is that no one individual researcher has access to enough information so as to try and influence the attribution mechanism (contrary to the present system, which is more easily politically malleable).

 

The unconditionality associated with the SOFA scheme, plus its widely-distributed nature draws some similarities with the basic income concept. Basic income, as defined at the Basic Income Earth Network (BIEN), rests on the independence of income and work-status, or even willingness to work. Granted, the SOFA scheme implies that the money is distributed among scientists, devoted and committed to scientific work, with clear and established study plans. However, it is also clear that some of the previous conditions associated with funding decisions – mainly a discussable notion of merit coming from a very small group of peer-reviewers who end up allocating the grants – will collapse if SOFA is introduced. Another similarity with basic income proposals has to do with de-complexification of the attribution system, also reducing its overhead costs, as a function of both distributing 50% of the grants unconditionally and putting in the hands of the researchers themselves the responsibility of distributing the other half of each grant. In the basic income arena, that advantage usually takes the form of reduced costs with social security management, and lowering complexity through existing program’s extinction and remodeling. A third similarity has to do with trust. Unlike the present system, SOFA inherently trusts researchers to allocate 50% of their grants to others. This trust is also present in most basic income proposals, which allow recipients to spend their basic income as they see fit, hence furthering their personal freedom and capacity to more efficiently solve problems in their own lives.

 

The SOFA scheme has been presented to Eppo Bruins, a member of the Dutch House of Representatives, who proposed a call for a SOFA test pilot in June 2016, which was approved by the parliament. However, the NWO, the agency which would start and manage the experiment, has resisted the initiative. According to Scheffer, that is understandable, since “if applied universally, the novel system would make the agency redundant”.

 

Notes:

[1] – Management of past funding options is still not included in the proposed model, but is considered important by the authors, to better use of unused funds.

 

More information at:

 

Johan Bollen, David Crandall, Damion Junk, Ying Ding, Katy Börner, “From funding agencies to scientific agency”, EMBO reports 15 (2), September 7th 2014

 

Jop de Vrize, “With this new system, scientists never have to write a grant application again”, Science (American Association for the Advancement of Science), April 16th 2017