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Baylor Masters Program for Healthcare Administrators
STEP ONE : Identify & Stratify the ‘Reliant’ Population (Stats Anyone?)
  Currently Enrolled TRICARE Prime Base (E)
(Ages: [0-1*2.0]+[2-17]+[18-64]+[>65*2.5 ])
Active Duty Trainees (T)
Not Enrolled
Enrolled Elsewhere Users (EE)
Specialty/ Consults
Non-Prime Users (NP)
“Space A”
 “RIGHT” ANSWER!
Reliant Population = E+(T/4)+(NP/4)+(EE/4)+(“others”/4)”
All Eligibles?
NO!
OTHERS?
Identifying the population age distribution “pie” is the 1st step to developing a business case analysis (BCA) to ensure you have the right resources, especially in competition with everyone else. The key is to list how all your military treatment facilities (MTFs) are the same, before you start figuring how they are different from others. The first way to compare facilities is to determine the population mix, to include those over 65 years old who are worth more ‘equivalent lives’ and so require more resources to care for them (the optimization model in 2003 suggested they require 10 visits per year, or 2.5 more resources Vs the 4 visits for younger adults) and the newborns and infants (who require well-baby visits and therefore 2x the support). The acuity, or illness severity, of a given population may increase (or decrease) the overall demand for healthcare, even for active duty if the post truly has a unique mission(s) (I.e. Ft. Bragg – jumping out of perfectly good airplanes, will likely need more FTEs of orthopedics). It is exceedingly important to not only count the TRICARE Prime enrollees (E=AD and their dependents) currently enrolled at your DMIS-code MTF, but also the (1) number of AD trainees (T) that depend on your MTF for care (because while they are registered in DEERS they are NOT enrolled to any given MTF until they pass initial training and are assigned somewhere); (2) the non-TRICARE prime (space-available) users (NP) the command is allowing in for care; and (3) the TRICARE Prime enrolled-elsewhere users (EE) being seen at the facility, and any “other” unusual populations that by regulation or policy we are caring for (I.e. overseas seeing embassy patients).  1,2, 3 and “others” visits should be divided by ‘4’ (the average number of visits our patients utilize each year) to come up with the number of “1.0 FTEs” of population count that needs to have FTEs of provider team to care for them! Once the truly reliant population and their needs are identified, you can move on to figure how much gap there is in resources to see them, and align resources (and funding) accordingly. (What you can’t see with quality should be sent to the network!)

Each population mix does not necessarily require the resources, even though the total numbers are the same! Is your clinic like the Moore clinic at Ft. Hood with few >65 year old patients (three, to be exact). The majority are young healthy adults and children. Resources required to meet this population’s needs will be LESS than another MTF/ clinic/ TMC with >64 yo!

Rough estimate of Carson Tricare Prime Enrollees shows a population in between the study sites. A unique set or resources is required to optimize and provide pop health here!

(What population do we count when determining if we have enough capacity to care for them? How many of what types are reliant?)