Jul 242018
Anne Montgomery
Anne Montgomery

By Anne Montgomery

Imagine a meeting in your community — perhaps later this fall or next year — where you assemble a group of like-minded peers: health care providers, organizations offering supportive services, advocates, local leaders, policymakers and other interested stakeholders. You are calling them together because they all have an interest in improving the health and well-being of older adults in the area. Now, further imagine that at this meeting, you are aiming to craft a strategy that will establish, using current programs, a more efficient system of service delivery that reduces spending — in a way that keeps any resulting savings in the community.

If this sounds like something you may want to consider, keep reading! Altarum’s Program to Improve Eldercare has created a financial simulation model that contains essential data, and which can be used to benchmark costs for creating community-anchored eldercare systems. We call this tool “Financial Forecasting for MediCaring Communities.”

Here’s how the tool works:

First you’ll need to know (or create a good estimate for) how many older adults live in the area and require a mix of calibrated services – usually including medical care and supportive services delivered at home. Then you need to examine the improvements that evidence shows are likely to keep them more stable and out of medical crisis more of the time. Next you need a willing group of providers in the area – inclusive of hospitals, physicians and supportive services providers – who are interested in creating a more coherent system for older adults who are living with advanced illnesses and functional limitations. Interested parties you may want to talk to include PACE organizations, Emergency Room clinicians, long-term care providers, Medicare Advantage plans that offer expanded supplemental benefits (which have recently been enabled to look at supportive services in the context of expanded supplemental benefits), home-based primary care programs, and other service arrangements.

Using the tool, you can construct baseline cost estimates for each major service category, from inpatient hospitalization through lab services, durable medical equipment, vision, dental, long-term services and supports (LTSS), and more – on a per-person basis. Then your team projects expected changes in spending over several years, which will come from shifting the mix of services to focus more on primary care, skilled home health care and supportive home care, as well as supportive services (e.g., home-delivered meals, adapted housing and transportation. Because a rapidly expanding body of evidence shows that when lower-cost geriatric care and supportive services are emphasized, utilization of costly inpatient hospitalization and long-stay nursing home placements decline, this then yield targets for reduced overall spending.

After that, the tool will calculate projected savings, taking into account projected enrollment targets. Next you estimate start-up and ongoing administrative costs to implement that changes and to cover an entity (possibly comprised of some of the individuals at your meeting) that will monitor and track how well providers in the area are doing in delivering cost-effective services to frail elders. That entity, which we’ll call an “eldercare council” will be sustained from the savings that the improvements generate, so your team will need a plan for capturing and using at least part of the savings in your community.

Intrigued? We invite you to click on this link and watch the 14-minute video demonstration — https://youtu.be/K8rKW48Felw -– and send us an email if you’d like us to help you create a simulation for your own community: [email protected]

Print Friendly, PDF & Email

 Leave a Reply

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>



This site uses Akismet to reduce spam. Learn how your comment data is processed.