ICYMI, Geneia created a hypertension complications calculator.
If you have a hypertension diagnosis, answer 10 yes-no questions, and you’ll know your expected risk of experiencing a hypertension-related complication in the coming year.
The calculator offers a sneak peek into how our patent-pending Hypertension Complications Model* works. For those with hypertension, the Geneia Data Intelligence Lab (GDI Lab) created a model that predicts who are likely to experience a hypertension-related complication in the next 12 months. That’s important information for patients and their care team to have, even more so because too often, hypertension is a “silent killer.”
It’s critical to hypertensive members like Jackie.
Jackie is a 62-year old Caucasian woman. At the beginning of the COVID-19 pandemic, her adult daughter and her granddaughter moved in to her apartment. Most days, she cares for her granddaughter while her daughter works. On the weekends, she manages a fast food restaurant, and the restaurant gives her one free meal per shift.
From a health perspective, Jackie’s BMI is 32, which is obese. She smokes, a bit less now that her granddaughter lives with her. Her hypertension was diagnosed two years ago during a visit with her primary care physician. She knows she needs to see her doctor but doesn’t. It’s been more than a year since her last visit. Her father died of a heart attack so there’s a cardiac history in her family.
Initially, her PCP prescribed a hypertension medication, an ACE inhibitor. He also suggested she lose weight and eat better. She thinks about making lifestyle changes but with everything else happening in her life, she hasn’t acted on his recommendations yet.
About a year later in response to continued fatigue and some dizziness, Jackie went to see her PCP. He performed an EKG in the office. The findings led him to refer her for an echocardiogram (Echo) which revealed she has left ventricular hypertrophy. Her PCP then prescribed an additional medication, a beta blocker.
The GDI Lab Hypertension Complications Model In Practice
The GDI Lab Hypertension Complications Model identifies Jackie as one at risk of a complication in the next 12 months. The predictive risk for a hypertension complication is broken out into three separate stages. As the stage number increases, so does the severity. Within each stage, a member is classified as high, medium or low risk.
The model classifies Jackie as stage 2, medium risk.
Once the model identifies her, Jackie is referred to health plan care management. Gina is her care manager. Gina works with Jackie to create a personalized care plan. Key elements of the care plan are to set up with a home blood pressure monitor, educate Jackie on the hypertension disease process, monitor medication adherence, and get her reconnected with her physician.
Gina encourages Jackie to set small achievable goals that are meaningful to her. Gina chooses to increase her activity by walking with her granddaughter during the week and pack her lunch for work on the weekends. Gina contacts Jackie every 10-12 weeks to see if she’s making progress with her goals and review her daily blood pressure readings. She also enrolls Jackie in an online program to quit smoking. Her health plan’s CRM reinforces her program with reminders to refill her medications and see her provider regularly.
Jackie is one of the fortunate hypertensive patients. Geneia’s model identifies her as one who is at risk for a serious hypertension complication such as angina or chronic kidney disease, and her health plan has engaged and activated Jackie in her health.
That’s Geneia analytics in action.
To try the hypertension complications calculator, click here.
This year, I’m writing a series of blogs to illustrate how health plans are using Geneia analytics to solve pain points and meet their goals. The other blogs are:
*Patent pending for the Hypertension Complications Model. Predictive models, by their very nature, contain certain assumptions. This is not an attempt to practice medicine or provide specific medical advice, and it should not be used to make a diagnosis or to replace or overrule a qualified healthcare provider’s judgment. Certain data used in these studies were supplied by International Business Machines Corporation. Any analysis, interpretation, or conclusion based on these data is solely that of the authors and not International Business Machines Corporation. Click here to review Geneia’s full legal notice and disclaimer.