Last week we discussed the six ways Springbuk is using social determinant data to drive informed population health strategies. This week, we'll discuss how you can apply those six strategies in real life scenarios.
Let's start with adherence to care guidelines. Having social determinant data can further allow us to understand subsets of members that have gaps in care for preventive and chronic conditions. We can begin to see if these members have reliable access to primary care providers and identify other commonalities among them such as job codes, compensation levels, or salary or hourly status. As employers, you can use this information to inform strategies and personalized communication.
Another example focuses around disability and leave trends. The integration of disability and leave with your healthcare data already provides a tremendous amount of insight. But imagine adding additional social determinant data to further understand if there's a higher utilization of disability or leave with certain locations, job type, or coverage type, or even further understand what the common risk factors or conditions are for this particular subset. Or how does having reduced income or time away from work affect food access and security? Employers can use this information to design benefits to personalized communication, and even assess risk.
If you're interested in learning more ways to apply social determinant data, be sure to download our e-book that we've linked below. And in our next video blog, we'll wrap up the series and provide you with next steps of addressing social determinants of health.
E-book: Social Determinants of Health - A Springbuk Perspective
In case you missed the first three videos in this series, want to re-watch, or share with a co-worker, use the links below:
1. The 5 Social Determinants of Health
2. Social Determinants of Health: Upstream and Downstream Impact
3. 6 Data-Informing Social Determinants