Worksheet 6: Physician agency and capitated payments

Assume that the patient’s net benefit function is, NB(x)=B(x)pdx. Further assume that B(x)=16x2x2 and that the patient is fully insured such that pd=0 (i.e., the insurer pays the full price of care, and the patient pays nothing). Finally, assume that the physician’s number of patients in their practice is governed by, n(NB)=NB. The physician receives a fixed payment, R, per patient, along with a margin of psc for each unit of care, x. The same amount of care x is provided to each patient.

Question 1:

What is the patient’s optimal amount of care?

If they could, the patient would choose x to maximize their net benefit, B(x)pdx=16x2x2. This net benefit is optimized at x=4.

Question 2:

Write out the physician’s profit function.

The physician’s profit is simply their number of patients times the revenue per patient, π=n(NB)[R+(psc)]. Given the functional forms provided in this question, we can rewrite this as, π=(16x2x2)(R+(psc)x).

Question 3:

Find the physician’s optimal amount of care if R=0 and psc=1

To find the physician’s optimum, we must first take the derivative of the profit function and set this equal to 0, dπdx=(164x)(R+(psc)x)+(psc)(16x2x2)=0.

Setting R=0 and psc=1, this reduces to (164x)x+16x2x2=16x4x2+16x2x2=32x6x2=0. Solving for x yields x=5.33. This is larger than the patient’s optimal, x=4, which should be expected since there is a positive FFS payment in this setup and no capitated payment.

Question 4:

Find the physician’s optimal amount of care if R=1 and psc=1.

Plugging these values into the same first order condition, we get (164x)(1+x)+16x2x2=6x228x16=0. We can solve this with the quadratic equation, in which case x=28±(1168)12(0.515,5.181). Since we can’t provide negative care, we’ll take the positive root so that x5.181. While these numbers are small, the important part is that we’ve introduced a capitated payment R=1 and managed to bring “overtreatment” down from 1.333 to 1.181. In other words, the inclusion of the capitated payment brought us closer to the patient’s optimal amount of care.

Question 5:

Find the physician’s optimal if R=1 and psc=0.

Again substituting these values into he first order condition, we get (164x)=0, or x=4. So now the physician and patient optimal are the same value. Note that this is not a general solution…it only arises due to the linear patient function, n(NB)=aNB. For nonlinear functions, we won’t generally be able to easily obtain the same optimal values from the physician and patient’s perspective. Instead, R>0 will yield some amount of undertreatment as we saw in the general case in class.