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Kanyi Maqubela

Kanyi Maqubela - Kanyi Maqubela serves as entrepreneur-in-residence at Collaborative Fund. He was previously a founding employee at Doostang and field director at One Block Off the Grid. He is from Johannesburg, South Africa.

The Reason Silicon Valley Hasn't Built a Good Health App

By Kanyi Maqubela
Mar 11 2012, 8:09 PM ET 20

Homogenous teams of innovators make products for people just like them. And that's a problem.

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Many great innovators build what they know, for who they know. Aaron Sorkin caricatured this concept with his treatment of the Facebook story: Mark Zuckerberg (Jesse Eisenberg) built an online social network drawing from his own experiences and social network in real life. With consumer web products, given how young the industry is, domain expertise rarely refers to years of experience. An expert might be someone who has loved internet technology since childhood, tinkering with Javascript and LED displays after school. More often than not, a consumer web entrepreneur identifies pain points that he wants to solve as a user first. Technophiles, founders, and early adopters are all drawn from the same pool, often by design.

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Over the past couple of years, some of these entrepreneurs have begun building products focused on the quantified self. A thesis for the quantified self goes as follows: a modern young professional likely knows his Twitter follower number, Facebook friend count, as well as the market cap, IPO date, and vital data of a half-dozen companies in his industry. But if you ask for his resting heart rate, genetic disease markers, blood pressure, or body mass index, the chance that he knows more than 2 out of 4 of those is vanishingly small. Technology is the answer to this problem. Today, the pedometer, imagined 400 years ago by Leonardo Da Vinci and first developed in 1965, has evolved far beyond a "step counter" and into a suite of full-service health tracking devices.

In 2008, Gary Wolf co-founded a group called the Quantified Self, a "place for people interested in self-tracking to gather, share knowledge and experiences, and discover resources. The movement fashioned itself a descendant of the personal computer movement of the 1980s. Now the idea of the quantified self has spread beyond Wolf's circle. We see it in consumer products like the Jawbone UP, Fitbit, and Nike+ Fuelband, whose technology measures individuals daily movements and reports relevant health data. The iPhone and other mobile devices come stacked with Bluetooth, gyroscope, accelerometer, and GPS capabilities. They have all the hardware necessary to gather data, record your vitals and with accompanying software tracks (and hold you accountable for) your physical health. Indeed, distributed computing, the rise of mobile technology, and social networks that are reaching critical mass worldwide have laid fertile ground for a revolution in mobile health. But there is a problem.

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According to research at the John D. And Catherine MacArthur Foundation, "a large body of evidence indicates that socioeconomic status is a strong predictor of health. Better health is associated with having more income, more years of education, and a more prestigious job, as well as living in neighborhoods where a higher percentage of residents have higher incomes and more education." The South has the highest obesity prevalence, followed by the Midwest, Northeast, and the West. Among predominant American races, Blacks have the highest rate of obesity, followed by Mexican Americans, other Hispanics, and finally Whites. It seems as though, if innovators are looking to build healthcare solutions, the target demographic is not the technophiles early-adopters of The Social Network, who are predominantly middle- to upper-middle class whites and Asians living on the coasts.

 Conventional wisdom of social consumer internet products says, like Facebook, build for your community first, and the rest will follow. Indeed, the early-adopter elite often have more spending power as well, and so many consumer web products are aligned with the mentality of 'innovating for the elite'. But when it comes to healthcare innovation, this wisdom fails.

Anecdotal evidence suggests the overlap between those who shop at farmer's markets, wear Lululemon Athletica, frequent yoga studios, and bike to work and those early adopters of Fitbit, Runkeeper, and Jawbone UP is very high. The quantified self, as currently defined, may be about signalling health consciousness among an already highly health conscious population, rather than changing behavior. And as such the quantified self has an upper limit as a feature, or an addition, not as product unto itself. It is an optimization, rather than a revolution. Innovating for the elite, then, misses the mark.

Bloggers, venture capitalists, and entrepreneurs often speak about diversity in the start-up community. Women 2.0 and Ladies Learning Code are drawing much-needed attention to the gender imbalance in founding teams, and in the start-up community more generally. NewMe Accelerator and DreamIt Access support minority entrepreneurs across America, addressing the gross underrepresentation of blacks and latinos on high-technology founding teams. This matters. And not only because America is the land of opportunity, or because of a philosophical notion of fairness.

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It matters for scaling consumer business. Many great innovators build what they know, for whom they know. The Mark Zuckerberg of the Social Network was a spurned ex and excluded Freshman nerd. His product reflected his social context and background deeply -- it allowed him to meet new people and access the lives of the elite. The addressable market for that insight, and resulting product was, of course, massive. Health and wellness issues are no less encompassing than romance and status. But the demographics of an audience of Lululemon wearers, yoga-practitioners, and vegans is a very different market segment than the obese, the chronically ill, and those with limited access to health education resources.

As we address increasingly complex social problems like healthcare, we need to be more creative about solutions that will maximize the addressable market. Obesity alone costs the United States more than $150 billion in lost productivity a year. That's a huge market, and it skews heavily to lower income populations. We need a tool to change behavior across all demographics, and self-tracking products currently aren't doing it. Moreover, the demographics in the United States are rapidly changing: Tristan Walker, VP of Business Development at Foursquare and Silicon Valley diversity advocate, recently pointed out to me that, "By the year 2040, racial minorities will account for the majority of the United States population." The quantified self and accompanying mobile health revolution needs to puncture markets which are usually invited last to the party. If entrepreneurs in this space are serious about making a difference, and about staying relevant to an evolving population, they need to invite these demographics first. To wit, we need to innovate on our innovation. 

And to do that, we need greater diversity among those very entrepreneurs. After all, we build what we know. Innovate for a population who needs it -- and there's plenty of money to be made there, too. This will require non-traditional business approaches, and willingness on the part of entrepreneurs and innovators to work directly with incumbents, be those pharmaceutical companies, health insurance companies, hospitals, or government agencies to inject productivity into the system through technology. They will make margins on these productivity gains (overall, the direct costs of inactivity and obesity account for some 9.4% of the national health care expenditures in the United States totaling almost $10 billion) and have deeper and more positive impact on society. With all due and utmost respect to the coastal elites, that's what'll get me excited about the quantified self.



Images: 1. Konstantin Chagin; 2. Dmitriy Shironosov; 3. Yuri Arcurs, all via Shutterstock.



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  • There are two points in the article - I think one (diversity) is much more important and much less subjective than the other ("great" health apps):

    1. Can Silicon Valley Do something great in Health? 
    Yes. There are plenty examples of great healthcare, healthIT, and  other companies (the largest remote patient monitoring company in the world came from Mountain View, and was a bunch of 20-30 yr olds, not chronically ill patients) - if you really want to limit it to "health apps", then I'd argue it's hard to express "there are no good ones" without saying what you think is a good "health app" (I'd argue most stink, no matter where they come from!), and "health" is very broad definition. Too broad for a "there are none" title.  Plus, since I'd like to keep this, light, positive, and even humorous  - if there's anyone that's going to solve obesity using your "be from of the problem" thesis,  it's Silicon Valley programmers.  :) 

    Now, a bit more serious - Check out Josh Nesbitt and the work he's doing as one example. Stanford guy, world view, amazing outcomes, awesome vision. But I see your point. 

    2. Diversity in Entrepreneurship
    Huge, huge problem. Couldn't agree more with you here. Without going into the "let me tell you a story about my minority friend" mode, I'll keep it simple -> If this article said "We need to broaden our base of the types of entrepreneurs in Silicon Valley", *I'll help you carry the flag* - in fact, the reason I'm so active at Rock Health is due to the commitment minority entrepreneurs, particularly female in that case. I'm 100% in agreement with this point and think the work Wayne is doing at NewMe (and Tristan's non-profit plans as well - I've talked to him at length about that) are necessary for the further advancement of business, not just tech startups, and have my total and complete support. 

    I just think conflating the two ideas is unnecessary, and picks a fight where we don't need one, and it's harder to prove. "Great Health Apps" don't really exist yet. The problem with a lack of minority entrepreneurs is already real, and deserves our attention,

    That said - keep going. You're onto something here, but the thought needs further refinement, which I'm glad to help and support, whatever form that takes. I think we agree on the important parts, for whatever that's worth.

  • Stan_Marsh Moderator 1 week ago

    "Among predominant American races, Blacks have the highest race of obesity,"
    -Did anybody else notice that?

    I think The Atlantic meant to put in rates somewhere

    (Edited by author 1 week ago)

  • Thank you for pointing that out. I've corrected the typo.

  • Pete_0 Moderator 1 week ago

    I think you've missed the real nugget in your cite from the MacArthur Foundation:  "...Better health is associated with having more income, more years of education, and a more prestigious job..."
     I once queried the co-director of the NICU at a world-reknown children's hospital in one of America's largest cities what his greatest challenge was.  His response?  The lack of education in the vast majority of the parents of his patients.  As he put it, try explaining the difference between viral and bacterial meningitis (very different treatment plans & very different potential outcomes) to a parent who has no idea what either microbe is.

    Point is, the kinds data generated by these devices, and the elements of health they describe, are, more often than not, aspects of health (BMI, resting heart rate, total activity, etc.) that take years to shift and lead only to long term, abstract "healthfulness,"  a goal that takes at least a basic understanding of physiology to define.  All the engineering talent in the world can't make up for a user's inability to understand the utility of a tool. 

  • "All the engineering talent in the world can't make up for a user's inability to understand the utility of a tool. "

    Repeated exposure + good design can fix the user's lack of understanding... so just engineer with that in mind. Difficult to be sure, but impossible this is not.

  • Thank you for raising this topic! In reading the post, I find myself disagreeing with what I take to be a series of deeply conservative assumptions. (If I misunderstand you, please correct me.) These assumptions include:

    1. *The best concept for understanding the impact of self-tracking on complex social problems is The Addressable Market for health care products.* It may turn out that the practices of self-tracking are generally useful while not creating easy opportunities for Facebook or Google level aggregation of corporate control. Let's keep an open mind about this.
    2. *Venture funded startup teams are a good engine of positive social change in health and other areas.* I'm not arguing this is never the case, but you've made a big leap here. I think this assumption is a good expression of the self-image of the very Valley culture you are criticizing, and shouldn't go unchallenged.
    3. *Pharmaceutical companies, health insurance companies, hospitals, and government agencies are good places to "inject productivity into the system through technology."* Once startups begin to focus on the institutional market, they are often captured by the pathological institutional dynamics of this market. The effects are often grotesque. Moreover, your model here - startup team -> institution -> under-served population - places expertise at the institutional level. (Productivity is a managerial/administrative concept.) What about imagining more agency at the level of the person, family, and community?
    4. *Benefits of self-tracking should be understood in economic terms.* The climax of your piece describes the supposed economic costs of obesity. I suspect that the validity of the underlying analysis you cite may not hold up, but before getting to this I think you should ask whether this sort of economic cost/benefit analysis is adequate for dealing with the topic of what we eat, how much we weigh, and what we would like our bodies to look and feel like. Keep in mind that there is no proven public health "solution" to obesity.

    A justification for self-tracking that promised to bring the benefits of the Quantified Self to under-served populations through encouraging more diverse startup teams and forging partnerships with, say, multi-national pharmaceutical companies, would be pure fantasy. You might do better to reframe the question. Instead of "how do get our expert answers in the hands of the poor people who need them?" you could ask "how do we involve more people so that we can learn together what works to make us happier and healthier?" Now you have a much larger possibility space in which to discover useful knowledge. For instance, when we analyze our personal data on a large scale we might learn that the best way to be healthier is to work less hours and get paid more money. That is merely by way of hypothetical example; my point is that by accidentally beginning with a host of conservative assumptions, you might miss the big news.

  • starship_captain Moderator 6 days ago

    "The quantified self and accompanying mobile health revolution needs to puncture markets which are usually invited last to the party," the story states. But in the face of the fact that "[b]y the year 2040, racial minorities will account for the majority of the United States population," I'd say that it's the self-absorbed class who will one year find themselves late to the party.

  • Incredibly limited view of what a 'health app" is--focused on the quantified self movement only. There at least 20 different categories of health technologies out of the Health 2.0 movement, many of which are already successful and already being used happily by many many people (3 million Kaiser patients have used their online email system already, 100K+ members on Diabetic Connect, 13m monthly visits and 3m members on MedHelp). This article is another example of a johnny come lately who needs to get out more before he starts writing about the health tech ecosystem.

    I''m thinking of starting a certification program for people writing about this stuff <sigh></sigh>

  • Well put. And a certification seems right up the Health 2.0 alley. Brand it!

    That said, I got to talk to the author (Kanyi) a bit when I replied -  These are my words. not his, but after the brief exchange, I think he was trying to use a market to make the entrepreneurship point.  It was less a healthcare article, and more about healthcare-as-example article, which is where it fell short. 

    My guess is also the the editor picked a semi-controversial title for clicks.  The piece doesn't support the claims on healthcare, but does have a broader point to be made on entrepreneurship in minorities, but that's lost in the details. Ironically, he picked one of the few markets where we're seeing a influx of amazing female entrepreneurs. But matters not....just get the certification going :) 

  • Not everyone has a seat is prime as yours from which to swill the health apps Kool-aid, Matt. The overall usage numbers are as yet small, skew to a narrow portion of humanity, and are cooked to boot. And you, more than probably anyone, knows these things. 

  • Great read. Hopefully we can help change that here at ER Advisor :) Working on our app now. 
    ______________________
    http://www.eradvisor.com

  • Not sure what the overall point of this article is or was. Is the author's thesis that the quantified self movement has little relevance to those most in need of health apps - minorities where adoption and use of such is still lacking? 

    Having done quite a bit of research on the topic here at Chilmark Research have the following points to make:
    1) Much of the healthcare Apps today are very much first gen and one should not get too worked up over it. 
    2) It will take far more than a fancy app/UIX to drive adoption across broad swaths of the populace. Ultimately, we will need to get clinicians directly involved in helping their patients adopt and use such solutions to manage their health. When that does occur, we'll see some pretty amazing results (adoption) as patients/consumers want/need feedback and if a clinician (case mgr) is actively involved, adoption will follow.
    3) And therein lies the rub. Currently there are no real reimbursement models for physicians/clinicians who encourage patients to use such tools to better manage their health, nor are there sufficient back-end IT systems to support the collection and use of patient self-entered data that flows seamlessly into the clinician workflow. 
    Our own opinion at Chilmark Research is that once we start to see broad changes in reimbursement with a move to value-based (outcomes) reimbursement models then will begin to see a reason for healthcare organizations to actively adopt & promote patient use of such apps that will assist patients in compliance to meds and better management of their chronic conditions.   

    Therefore, the fundamental thesis of this article is flawed. Its not that Silicon Valley cannot build Apps for the broader populace, its that the healthcare organizations that will ultimately be the primary drivers of adoption have yet to define a compelling business model to promote such and thus the market remains embryonic.

  • There is no way you can meaningfully convince insurance or clinicians give up precious payment time (especially in the completely swamped county and community clinics that serve a growing population of uninsured indivudals) until you show outcome data that any of this is the least bit useful. And I have yet to see how spending 30 min teaching a patient how to use a smart phone or diabetic ap is remotely useful--instead of a nutritionist going through the basics of how to eat vegetables, or bulding a doctor-patient relationship to address their concomittant depression, or seing a social worker to navigate their byzantine health plan, or creatively problem solving how to get who works 80 hours in two dishwashing jobs to exercise three times a week. Kudos to this as the first article I have seen in a long time to address the digital divide. The tone deafness to the state of healthcare, or the least bit of insight into the lives of millions of Americans, is astounding. But since it is all framed in terms of potential markets anyhow, with no sense of justice or the uniqueness of providing health to those who need it, maybe it is better to stick to the smart-phoned vegan yoga practitioners and the general domain of boutique medicine anyhow. 

  • David States Moderator 5 days ago

    The Quantified Self has been recognized as a useful tool by elite athletes for decades.  You don't need an iPhone app to keep detailed training logs.  For the rest of us, the medical value of the Quantified Self is pretty minimal. For obesity in particular, activity is a limited part of the equation, but food intake is a much bigger issue and to date no one has a great app that captures it.

    Valid point about narrow perspectives, but the major factor only mentioned in passing is age.  Most medical care is consumed by people in their 50s, 60s and 70s while Silicon Valley is populated by 20 and 30 somethings.  There are real medical applications for the Quantified Self in monitoring disease progression and response to therapy for Alzheimer's, congestive heart failure and depression.  Which raises another issue.  These are not "sexy" diseases.   The "kids" in Silicon Valley are still living with the myth of their own immortality and don't want to acknowledge that chronic diseases affects many people. The coasts vs. mid America is really not such a big deal, but age is a huge issue, and Silicon Valley does not get it. Look at the paucity of user interfaces optimized for people in their 60s and 70s who may have poor eye sight and a tremor that makes drag and drop GUIs difficult. And the ever change nature of most UIs becomes an impediment to the elderly who just want a simple consistent interface that works, not the latest and greatest feature of the week.

    (Edited by author 5 days ago)

  • Great point about a need for diversity in age (and perhaps health status?) among developers. Having been a consultant for 10+ years to "big pharma", I can assure you that young, healthy marketers are their own worst enemies. It's extremely difficult for someone who has never been ill - or even needed reading glasses! - to understand the experience of a patient (or "end user"). 

  • Rajiv Mehta Moderator 5 days ago

    I hardly know where to begin to address this woeful article. Perhaps I'll just add a couple of comments to those already made by Gary and Matthew. First is that it is nonsense to assert that a product is not worthwhile unless it serves a large chunk of the population. Actually if a product makes a big difference in the life of just one someone, it is definitely valuable to that someone. So, yes, we'd like a magic pill that helps people "across all demographics", but we'll gladly accept a pill that only helps a small group with a rare disease. Ditto with consumer-health-technologies like Zeo and Withings and MyFitnessPal — they're definitely helping some people, though not all. Perhaps it should be noted that The Atlantic is read by a small minority of the population, and the author presumably thinks it is a worthwhile product. Second, it should be blatantly obvious to anyone who has studied the health issues noted in the MacArthur Foundation quote that the solution isn't going to come from some technology startup. Those problems stem for economic, social, environmental and political messes. They're not going to be solved by haranguing people to "eat less", nor by magic health apps. Nevertheless, the ideas underlying the Quantified Self movement — self-empowerment through self-learning via self-tracking (often, though not always, aided by technology) — are in fact applicable to all.

    I'd also urge the author to come to a QS meeting. He might be pleasantly surprised by the diversity of the people there, the depth of their knowledge, and their concern for the social issues raised here.

  • maisybones Moderator 4 days ago

    There are many ways to respond to this article and it seems to have drawn out a great group of commentators, the majority of whom live within 30 miles of each other. I wonder if a dinner party to explore some actionable steps out of this isn't worthwhile.

    I agree about the challenge of lack of diversity in health app development. I'm not sure the challenge is the same in health and healthcare innovation broadly. But then apps alone aren't going to solve our problems. Or, if they are, I haven't seen any with that potential, yet. I'm excited about what QS will create that will help those avoiding self-reflection or in denial about their worsening health to "know their numbers" without necessarily needing to self-track obsessively. My utopian (naiive?) vision is a multi-pronged approach: understand the behaviors and motivation of those trending in the wrong direction, create physical and social environments and foster habits that encourage better behavior, and keep encouraging less invasive and more mindful ways to help those in denial come to a more activated sense of themselves and their role in being healthy.

  • Dinner at Mary's house :)

  • Check out www.healthwise.org -- they may not be Silicon Valley, but they have their eye squarely on real people, real health issues and how to design and create products to fill their needs.  They did an extensive process mentored by @indiyoung to create mental models based on users interviewed from a diverse range of socio economic backgrounds.  Healthwise is an amazing non-profit health information company definitely doing the right thing in this area.  Silicon Valley would do well to seek them out for partnering opportunities and learning. 

  • This author's argument is a poorly reasoned one. His first point is that self-tracking tools are only
    marginally beneficial since they are used by an already health conscious population. His second point is that we need to innovate within the system to target the population of chronically diseased and obese folks.

    I disagree with his first point. The quantified self movement is about collecting data that was previously uncollectable (or was painstakingly collectable) before tools were introduced to make it possible. Even we, the very health conscious, limit our healthy behaviors by what we don't know about ourselves. When we can collect data, aggregate it, and share it, new patterns emerge and we answer questions about our health that we didn't know we had. These tools are tremendously
    valuable.

    As for the population who is not using them -- I agree that we need to address this market and that one solution is to innovate within the system, but the system has its limits and is designed to fix problems, not prevent them. Further, the system only collects information about you that is generated within its walls, but the majority of the things we do that affect our health actually happens outside of the system -- When was the last time your doctor asked you how much REM sleep you get or how much time you spend on an airplane or what types of cleaning products you use in your home? These activities are as much a reflection of our health as our lab values. Both the data that the system collects and the data we collect needs to come together to provide a clearer path for ourselves and our caregivers in managing our health. We don't need radically different tools for our "problem population," we need people who know how to bridge the gap between the system and the data we create about ourselves and we need people who know how to bridge the gap between existing tools and the people who aren't using them.

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