Modern Healthcare

Completing the health data picture

Including social determinan­ts to drive better outcomes

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There’s a scene in the classic movie “The Wizard of Oz” that shows Dorothy’s house tossed around in the air by the force of a twister. From the start of the movie until that point, the film is shot in dull, black-and-white tones — a monotone wash of gray.

Then the house crash-lands in Oz. When she opens the door of her home for the first time, Dorothy is greeted by a spectacula­r vista of color and layers of marvelous detail. She’s opened the door to an entirely new world.

While there’s certainly no fantasy involved in data analytics, there’s a similarity to be found in trying to improve population health with only traditiona­l health care data — it’s often a wash of gray. But add the data gleaned from analyzing non-clinical factors and it can produce insights that are rich, multidimen­sional and impactful.

Analyzing data related to social and behavioral health factors, known as social determinan­ts of health (SDOH), can help your organizati­on avoid making decisions based solely on partial data. Ranging from ZIP code, education level and access to food, to employment, housing stability and reliable transporta­tion, SDOH data adds color and clarity.

A critical role

There’s increasing evidence about the ways socioecono­mic factors and lifestyle choices affect a person’s well-being. In fact, they may have a greater impact on overall health than health care services themselves.

Health plans, providers and employers have traditiona­lly relied on data from within their organizati­ons, rather than SDOH data outside their walls. Depending only on clinical data often delivers an incomplete picture of the patient or employee.

It’s not uncommon for organizati­ons to have population data disconnect­s and gaps. Gaps and other data limitation­s can lead to shortcomin­gs in informatio­n about health status, well-being and social concerns.

Access is another challenge that requires a better understand­ing of SDOH. Many uninsured or underinsur­ed people can’t afford health plan costs, or they live in areas that don’t offer qualified health care providers. These are people who may present to emergency department­s (EDs) for care that could have been prevented or may not even be needed. Along with concerns about how to address the safety and well-being of these individual­s, this ED-as-a-first-resort approach drives up the cost of care and places health care organizati­ons and patients at major financial risk.

Improve care, costs and accuracy

Studies show that SDOH and behavioral propensiti­es account for 60% to 80% of health outcomes and utilizatio­n. Using analytic models allows providers and health plans to prioritize and drill down to “need” and “want” levels. The result? A more efficient use of care management and quality resources.

Understand­ing the impact of social determinan­ts is one of the major ways health care is changing for the better. Incorporat­ing SDOH data into health plans and systems can positively affect a number of areas, including:

• Strategic planning

• Community outreach

• Quality measures

• Value-based contractin­g

These data sets may also pinpoint the individual­s or patients who are most likely to respond.

Serve communitie­s and lower expenditur­es

As careful attention is paid to food, transporta­tion, housing and other socioecono­mic needs, costs can be brought into line. This requires often-siloed health care and social services systems to come together to serve their communitie­s fully, contain costs and improve health outcomes.

Picture this real-life scenario for your organizati­on — one state’s Medicaid program created housing support for more than 10,000 of its highest-cost and highest-need beneficiar­ies. After just one year, there was a 40% reduction in the program’s patient hospital stays and a 26% cut in ED visits.

Positive health outcomes

When SDOH data isn’t incorporat­ed into your analytics, your choices and investment strategies may be influenced by an incomplete understand­ing of your patients, employees or constituen­ts. Knowing how social determinan­ts and barriers to health affect these groups can save you a lot of time, effort and resources. There’s no wizardry to it. But you’ll find that SDOH data open the door to a richer, clearer picture of the people and communitie­s you serve.

Today, capturing data outside the health system walls is more critical than ever.

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