Ghosh (2021) asks whether temporary, supply-side incentives can successfully redirect physicians toward underserved areas, improve patient health outcomes, and leave a lasting impact even after the incentives expire. The paper studies this using state and local primary care loan repayment programs, rolled out in a staggered manner across hundreds of counties in forty-nine states between 1978 and 2015. These programs offer newly trained physicians a lump-sum payment toward their medical school debt in exchange for committing to practice at an approved site for a pre-determined period. Variation in program location and timing, funding levels, service requirements, and eligible specialties allows the paper to separately identify effects on long run physician mobility, specialty choice, and patient outcomes.
Using longitudinal data covering all practicing US physicians, the paper finds that these programs raised the number of MDs and DOs in treated counties by 5% and 8% respectively, concentrated in higher-paying specialties. Rather than settling in remote rural counties, newly recruited physicians cluster near large cities within the treated state. Physicians’ location choices also prove sticky, persisting for up to ten years after their service obligation ends; a rise in trainee interest in treated specialties around the time of the policies further rules out the possibility that gains simply reflect physicians relocating from elsewhere within the state.
On the patient side, the paper documents a modest but persistent 2% rise in Medicare enrollees with at least one outpatient physician visit in treated counties. The policies also reduce ER visits by 5% and preventable hospital stays by 10% among Medicare beneficiaries, along with lower hospital reimbursements per enrollee. Patient-level data from California shows a 7% decline in hospital admissions for Medicare and Medicaid enrollees, concentrated among diagnoses where primary care is essential. This points to a shift from emergency and inpatient care towards timely preventive care, with no evidence of quality degradation. Most notably, the paper finds a clear decline in all-cause mortality in treated counties — a significant reduction of roughly 1.5-2 deaths per 10,000 population, driven by causes of death treatable through primary care.
MVPF = 1.1
The paper makes the following assumptions to calculate the net cost of the policy:
Under these assumptions, the paper calculates the net cost of as the total cost of building the program’s full physician capacity less the fiscal externalities generated by the fully-built program, which are assumed to persist over a 4-year window.
The mechanical cost of the program is 54,234*120,000=$6.51 billion, where 54,234 is the number of physicians estimated to enter the treated counties over the 23-year period. This is treated as a one-time expenditure incurred in the representative year (2006), rather than tracking each treated county’s individual entry date or the actual within-obligation disbursement schedule.
The fiscal externality arising from Medicare reimbursement savings, driven by reduced ER visits and hospital stays, amount to $59.81*13,486,188=$806.6 million/year. Applying a 4-year discount annuity factor of 3.717 (at a 3% discount rate), the present value of these Medicare-related savings is 806.6M*3.717=$3 billion.
The fiscal externality arising from taxation of physicians’ overall earnings results from the program inducing trainees to choose primary care over higher-paying specialties at the outset of their careers, resulting in those physicians earning less (and therefore remitting less income tax) than they otherwise would have. The paper’s estimates suggest that the program results in 9,816 additional eligible primary care entrants over the 23-year period. The average earnings of eligible primary care specialties is $324,968, while the average earnings of ineligible specialties is $425,598 (2019 Doximity Compensation Report). Forgone earnings per induced entrant are therefore $425,598−$324,968=$100,630. Applying the annuity factor over a 30-year career span of a practicing physician, at a 3% discount rate, the present value comes out to be 9,81*100,630*0.35*19.60=$6.78B.
The net government cost is therefore $6.51B – $3.00B + $6.78B= $10.29 billion.
The paper makes the following assumptions to calculate the willingness to pay for the policy:
Under these assumptions, the willingness to pay for the resulting mortality reduction is calculated as follows: The number of deaths averted per year is 13,486,188*0.00015=2,023 deaths. The value of each death averted is calculated using a life-years approach: as averting a death provides not just one year of life but a stream of remaining life-years, this stream must be discounted back to present value. This gives $100,000* 14.32=$1.432 million per death averted, where 14.32 is the 19-year annuity factor at a 3% discount rate. The annual willingness to pay for the mortality reduction is therefore 2,023*$1.432M= $2.90 billion/year. Applying the same 4-year persistence window used in the cost calculation, this translates to a total present value of$ 2.90 B * 3.717=$10.77 billion, where 3.717 is the 4-year annuity factor at a 3% discount rate.
The MVPF then is $10.77B/$10.29B= 1.05.
These should be treated as lower-bound estimates, as the willingness-to-pay calculation captures only mortality reduction and omits the direct welfare value to patients of avoiding preventable hospital stays and ER visits, as well as health benefits accruing to the Medicaid population, both of which are also documented in the paper. While conceptualizing and monetizing the willingness to pay for avoiding these additional hospital-related events is not straightforward, a fuller accounting of these channels would likely push the MVPF higher.
The paper also considers several alternative scenarios. First, if health effects are assumed to persist for 10 years — matching the horizon over which physician retention holds, rather than the 4-year window currently considered — the MVPF increases to 3.86. Second, if physicians’ own willingness to pay for the program transfer (valued at 50% of the transfer amount, following standard conventions for large induced transfers) is included in the numerator, the MVPF rises to 1.36 under the 4-year persistence window, and 4.37 under the 10-year window.
Doximity Physician Compensation Report (2019). https://press.doximity.com/reports/physician-compensation-report-2019.pdf
Ghosh, Anomita (2021). “Health Consequences of Persistence in Physicians’ Locations: Evidence from Decentralised Loan Repayment Programs.” Working paper. https://anomitaghosh.github.io/researchpapers/Anomita_jmpnew1.pdf