Dismiss

Subscribe today!

Get the Artemis Pulse to your inbox every month. It's full of benefits news and popular content you're sure to enjoy.

Thank you! You have been subscribed. Check your inbox for your welcome email.
Oops! Something went wrong while submitting the form.
September 7, 2021

Key Considerations for Finding Out If Your Employee Benefit Programs Are Working

Artemis Health

Program measurement is a fundamental aspect of managing employee benefits, though it’s not an easy task. The average employee benefits team is managing 10+ benefits programs, and that means 10+ large, complex data files to comb through, look for trends, and try to determine trustworthy insights. Think about your own employee benefits plan. You’re probably working with vendors and carriers for: 

  • Health coverage 
  • Prescription drugs 
  • Dental 
  • Vision
  • 401k 
  • Disease management 
  • Musculoskeletal health 
  • Mental health 
  • Fertility/maternity 
  • Wellness/well-being
  • Weight loss or fitness 
  • Smoking cessation 
  • Onsite clinic(s) 
  • Sleep health 

It adds up to a messy mountain of data, and it’s not easy to sort through the haystack to find the “needles” that help you determine whether a program is really helping your members get healthier (or helping you reduce costs). 

Artemis Health recently shared best practices for measuring benefit program performance, including some tips for types of metrics to consider. In today’s blog post, we’ll share two more best practices and some examples from our work on employee healthcare analytics. 

Best Practice #3: Identify Key Metrics 

One of the most common questions Artemis’ analytics team gets from customers is, “How do we know which metrics to track?” It’s a good question, and it’s difficult to answer because the goal posts often move. Each population is unique, so the “starting line” will shift for, say, a tech company with lots of recent college graduates compared to a manufacturing company with majority union employees. 

However, there are two solid ways to ensure you’re identifying the right metrics to accurately measure your programs. 

  1. Start with industry standards. 
  2. Get specific with each program. 
Start with industry standards. 

The benefits industry has a number of great resources to help employers with program measurement and ROI. Employers can use industry benchmarking data, like that provided by Milliman or the Integrated Benefit Institute (IBI), to see how they are performing against other organizations like theirs. Many also tap risk score methodologies like MARA as a good way to see how their population compares to others. 

Artemis uses a number of industry-recognized methodologies like these to ensure our data is useful for program measurement. One good example is our Actionable Overspending app, which uses a proprietary data model to identify wasted and inefficient benefits spending. 

Chart showing actionable overspending on employee benefits costs in five categories

If an employer were to embark on an initiative to direct employees to the appropriate point of care, they might start with metrics like: 

  • Number of dollars of avoidable ER claims per year 
  • Percentile of avoidable ER spending compared to similar organizations 
  • PMPY cost of avoidable ER 
  • Avoidable ER claims per thousand members 
  • Top five avoidable ER diagnoses (for example, UTIs, headache, abdominal pain, etc.) 

In addition to tapping industry standards, employers should be prepared to use custom metrics to better reflect their real-world needs. 

Get specific with each program. 

Artemis worked with an employer client, their consultant, and a diabetes care management vendor to set targets for program enrollment, key engagement metrics, and compliance with best practices for patient care. Their employee population consists mostly of long-haul truck drivers, who are seated behind the wheel for long hours and eating at fast food restaurants on the road. This combo led the employer to set more modest targets for cost savings but aggressive goals for participation and Rx compliance. 

If this same employer was rolling out a virtual musculoskeletal health/physical therapy program, they would have very different goals and metrics in mind due to the nature of the work environment. In working with this vendor, the employer and Artemis knew what we would be measuring ahead of time, and the vendor knew exactly which metrics to track and provide in their data feeds. We worked together on an approved file format that made data integration faster, more accurate, and easier for everyone involved. Employers who set clear goals and understand what a vendor can or can’t offer up front will set themselves up for success later. 

Best Practice #4: Get Your Data Partner Involved 

This leads to our last program measurement best practice, which is to get your data partner(s) involved in the process. In our most successful case studies, the employer’s team, their consultant or broker, and their analytics solution were all involved in vendor evaluations, data implementation, and ongoing program monitoring. 

Flow chart with hundreds of data feeds tied back to key benefits metrics

Using a data analytics solution helps an employer pull in hundreds of data points, synthesize the information, and communicate back to carriers, disease management programs, wellness vendors, and ultimately, to the affected population. With the help of seasoned analysts, whether they’re in-house or at a consulting firm, employers can quickly find insights that enable action. 

There are a few things to look for in a data partnership that will help ensure you get the most from all your other programs: 

  • A holistic view: Make sure your data solution connects data feeds for insights all in one  place. Your data solution should give you the ability to look across feeds, trust your conclusions, and hold vendors accountable. 
  • Fast answers: Your tools should enable insights in minutes and timely answers to tough questions. You don’t have 6 years and bottomless budgets to determine program ROI/VOI. 
  • A true partnership: A helpful data partnership should build relationships, offer support, and enable customization that’s scalable for your needs. Because you often don’t have 20 analysts at your disposal. 
  • An action plan: Your data team should help you take action, measure results, and determine interventions that support your goals. It should help you tell great stories with your data that drive action for better employee health. 

We hope these program measurement best practices help you make the most of your benefit offerings and your data. 

Ready to learn more about Artemis Health’s employee benefits analytics platform? Watch our 2-minute demo video now. 

Share to:

Learn how Artemis Health can simplify your path to a better benefits program.

Request DemoWatch Demo

Learn how Artemis Health can simplify your path to a better benefits program.

Watch Demo

Related Entries