Virginia's CareForce Indicators
Last week we discussed the beginning of the Healthcare Workforce Data Center's data structure: focusing on our core mission to collect research quality health professions supply data. This week we discuss the end product of our system: Virginia's CareForce Indicators. This should provide a nice frame for next week's post, an overview of our back end processing system. Early next year we will begin reporting out data from our 2014 survey season. This post contains some images from our data tools, available by clicking the links at the top left of this page.
Virginia's CareForce Indicators
The mainstay of HWDC’s data products are our CareForce Indicators. These indicators provide a robust look at the health workforce in key concept areas. The best way to understand the CareForce Indicators is too see them, so I’ve copied one of our “At a Glance” graphics from one of our many profession reports, this one for Dental Hygienist in 2014. Click the image to view or reports on even more professions. Or,you can see all of our 2013 CareForce Indicators for all professions in our CareForce Snapshot.
These are just a few of our indicators, but you can see how just these few provide a robust look at the Dental Hygienist workforce in Virginia. We do this for 26 (and counting) health professions in Virginia, every time they renew their license. Since all of our measures are the same, all of our indicators are the same, and we can easily make comparisons, see trends, or combine our datasets to get a broad look at the health workforce. At this time, no other state in the nation can do this at this level of detail. Just Virginia. Which, if you ask me, is pretty cool.
So what can you do with the HWDC CareForce Indicators? Quite a bit. One of our latest tools, created just prior to the start of the 2014 school year, is our "Student Choice" toolset. A screenshot of just one of our tools appears below:
This chart compares median income to median debt levels for health professions. Circles are colored by degree level and sized by projected job openings using Bureau of Labor Statistics projections. Although not pictured, students can limit their view to professions by desired income and years of post-secondary education. This tool demonstrates two of the best things about HWDC's CareForce Indicators: they are easily compared across professions and can be linked to other data sources, in this case national data from the US Bureau of Labor Statistics.
Other charts cover work hours, job satisfaction, employment stability, and other factors we thought are important in choosing a career. All of that is just one example of how our CareForce Indicators bridge the data divide between the health professions, and between external data sources.
In addition to making bridges across professions and data sources, we can also drill down into the data using our CareForce Indicators. Want to know about the health workforce in your COVF region? In rural areas? In hospitals? We can do that? Want to compare job turnover and satisfaction rates among professions at nursing homes and hospitals in Virginia’s Metropolitan Statistical Areas? We can do that too. If you have a question about a specific facet of the health workforce in Virginia, chances are we can do that too. One of our interactive online tools looks specifically at the health workforce by AHEC region.
Pretty, eh? It is informative too. There is a lot of information on this page, but I want to bring your attention to the bubble charts on the right hand side. The bubbles are sized by the size of the workforce for each profession, and colored by median age on the top and percent female on the bottom. Stakeholders can quickly see which professions may soon face a rash of retirements in their region, and which regions may benefit by efforts to recruit more women physicians and dentists (or more male nurses!). This is just one example for a single year.
These examples show how HWDC data can help stakeholders, from policy-makers to business leaders to health students, improve decision-making and effectiveness. But this is just the tip of the iceberg. We designed the HWDC data system to be the link between health services research and health economics, and it is compatible with a wide variety of federal and state data sources, including the US Cenus Bureau, the North American Industrial Classification System and the O*NET Standard Occupational Classification. The map below from our Medicaid Workforce Map Packet links HWDC data with Federal uninsurance and income data in the Virginia Atlas of Community Health.
This map combines HWDC data from three professions (physicians, nurse practitioners and physician assistants), looking specifically at those with primary care specialties who also accept Medicaid. It provides a robust look at the entire primary care workforce and its ability to meet demand from a potential Medicaid Expansion in Virginia’s local health districts. Although it looks simple, it uses all three of HWDC's CareForce Indicators' capabilities: comparable indicators, bridging the data divide, and drilling down.
Be sure to click on the links above, or visit our website to see more uses for HWDC's CareForce Indicators.