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Multicenter Study
. 2019 Apr 1;179(4):506-514.
doi: 10.1001/jamainternmed.2018.7624.

Association of Primary Care Physician Supply With Population Mortality in the United States, 2005-2015

Affiliations
Multicenter Study

Association of Primary Care Physician Supply With Population Mortality in the United States, 2005-2015

Sanjay Basu et al. JAMA Intern Med. .

Abstract

Importance: Recent US health care reforms incentivize improved population health outcomes and primary care functions. It remains unclear how much improving primary care physician supply can improve population health, independent of other health care and socioeconomic factors.

Objectives: To identify primary care physician supply changes across US counties from 2005-2015 and associations between such changes and population mortality.

Design, setting, and participants: This epidemiological study evaluated US population data and individual-level claims data linked to mortality from 2005 to 2015 against changes in primary care and specialist physician supply from 2005 to 2015. Data from 3142 US counties, 7144 primary care service areas, and 306 hospital referral regions were used to investigate the association of primary care physician supply with changes in life expectancy and cause-specific mortality after adjustment for health care, demographic, socioeconomic, and behavioral covariates. Analysis was performed from March to July 2018.

Main outcomes and measures: Age-standardized life expectancy, cause-specific mortality, and restricted mean survival time.

Results: Primary care physician supply increased from 196 014 physicians in 2005 to 204 419 in 2015. Owing to disproportionate losses of primary care physicians in some counties and population increases, the mean (SD) density of primary care physicians relative to population size decreased from 46.6 per 100 000 population (95% CI, 0.0-114.6 per 100 000 population) to 41.4 per 100 000 population (95% CI, 0.0-108.6 per 100 000 population), with greater losses in rural areas. In adjusted mixed-effects regressions, every 10 additional primary care physicians per 100 000 population was associated with a 51.5-day increase in life expectancy (95% CI, 29.5-73.5 days; 0.2% increase), whereas an increase in 10 specialist physicians per 100 000 population corresponded to a 19.2-day increase (95% CI, 7.0-31.3 days). A total of 10 additional primary care physicians per 100 000 population was associated with reduced cardiovascular, cancer, and respiratory mortality by 0.9% to 1.4%. Analyses at different geographic levels, using instrumental variable regressions, or at the individual level found similar benefits associated with primary care supply.

Conclusions and relevance: Greater primary care physician supply was associated with lower mortality, but per capita supply decreased between 2005 and 2015. Programs to explicitly direct more resources to primary care physician supply may be important for population health.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Bitton reported being a senior advisor for the Comprehensive Primary Care Plus Initiative at the Center for Medicare and Medicaid Innovation. Dr R. S. Phillips reported being an advisor to Bicycle Health. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Changes in Density of Primary Care and Specialist Physicians in 3142 US Counties, 2005-2015
Figure 2.
Figure 2.. Changes in Life Expectancy Associated With an Increase in 10 Primary Care Physicians per 100 000 Population Using Alternative Model Specifications
Additional alternative specifications are available in the Supplement. Data to the right of 0 reflect an increase in life expectancy in days. Larger marker size indicates more concentrated distributions (lower variance). Error bars indicate 95% CIs. PCSA indicates primary care service area; HRR, hospital referral region.
Figure 3.
Figure 3.. Changes in Cause-Specific Mortality Associated With an Increase in 10 Primary Care Physicians or 10 Specialist Physicians per 100 000 Population
Data to the left of 0 indicate a decrease in mortality while data to the right of 0 indicate an increase in mortality in deaths per million population. Larger marker size indicates more concentrated distributions (lower variance). Error bars indicate 95% CI.

Comment in

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