Can digital health bridge the low-income gap?Reynaldo Villar | 12.19.2019
We’ve known for a few years that income correlates with health in a major way. From the length of life to stroke risk to self-reported health status, the more access, opportunity, and means of upward mobility a person has, the better their projected health outcomes.
Waves of organizations are stepping up to help put things on a better course. Accountable and managed care organizations like Upward Health are working with payers, providers, and local governments to bring doctors, nurses, and community health workers to underserved neighborhoods. In some places, networks like L.A. Care have sprung up to give low-income patients affordable access to doctors and hospitals.
But all of these initiatives live or die by their ability to connect with and engage patients who may be reluctant to take advice from medical professionals, especially from outside their communities. If we’re going to move the needle on low-income health outcomes, we have to connect with people directly through the technology they use every day — their mobile devices.
The Income Barriers to HealthDelivering care to low-income populations — and more accurately populations with low socioeconomic status (low-income, low-education, low upward mobility, and lack of insurance) — is complicated by some deeply human challenges. Obviously, not all people of low socioeconomic status are minorities, but they represent a disproportionate bulk of this group, with the economic gap widening since the 2007 recession. Though it varies by city and other factors, on average, minority groups have a higher distrust of doctors than their white counterparts. Even though many of these individuals say they’ve seen a physician in the last year, they may not trust that doctor when it comes to
- Their competency to refer them to a specialist when needed;
- Commitment to putting the minority patient’s medical needs above all other considerations;
- Influence by health insurance company rules on the doctor’s decision making; and
- Performance of unnecessary tests and procedures.