Doing More with Less: Predicting Primary Care Provider Effectiveness.
Journal articles
- Journal Article
Currie, J; Zhang, J
Published in: The review of economics and statistics
March 2025
We use data from the Veterans Administration to examine the efficacy of primary care providers (PCPs). Leveraging quasi-random assignment of veterans to PCPs, we measure effectiveness using ambulatory care sensitive conditions (ACSC) and hospitalizations/emergency department (ED) visits for mental health or circulatory conditions. PCPs variation along these dimensions predicts future outcomes. For example, a one standard deviation improvement in mental health effectiveness reduces patient risk of death by 3.8% and lowers costs by 4.4% over the next three years. More effective PCPs do more with less: their patients have fewer primary care visits, specialist referrals, lab panels, or imaging tests.
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Published In
The review of economics and statistics
DOI
EISSN
1530-9142
ISSN
0034-6535
Publication Date
March 2025
Volume
107
Issue
2
Start / End Page
289 / 305
Related Subject Headings
- Economics
- 3802 Econometrics
- 3801 Applied economics
- 3502 Banking, finance and investment
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Currie, J., & Zhang, J. (2025). Doing More with Less: Predicting Primary Care Provider Effectiveness. The Review of Economics and Statistics, 107(2), 289–305. https://doi.org/10.1162/rest_a_01290
Currie, Janet, and Jonathan Zhang. “Doing More with Less: Predicting Primary Care Provider Effectiveness.” The Review of Economics and Statistics 107, no. 2 (March 2025): 289–305. https://doi.org/10.1162/rest_a_01290.
Currie J, Zhang J. Doing More with Less: Predicting Primary Care Provider Effectiveness. The review of economics and statistics. 2025 Mar;107(2):289–305.
Currie, Janet, and Jonathan Zhang. “Doing More with Less: Predicting Primary Care Provider Effectiveness.” The Review of Economics and Statistics, vol. 107, no. 2, Mar. 2025, pp. 289–305. Epmc, doi:10.1162/rest_a_01290.
Currie J, Zhang J. Doing More with Less: Predicting Primary Care Provider Effectiveness. The review of economics and statistics. 2025 Mar;107(2):289–305.
Published In
The review of economics and statistics
DOI
EISSN
1530-9142
ISSN
0034-6535
Publication Date
March 2025
Volume
107
Issue
2
Start / End Page
289 / 305
Related Subject Headings
- Economics
- 3802 Econometrics
- 3801 Applied economics
- 3502 Banking, finance and investment