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Estimating Primary Care Spending in the United States: Toward a Common Method
Chunliu Zhan1, Lingrui Liu, Matthew Simpson
1Agency for Healthcare Research and Quality, Rockville, MD.
Tracking primary care spending in the US is challenging due to inconsistent definitions and data. This study used a new framework on two datasets, revealing trends and variations in primary care expenditure per person and as a percentage of total health costs.
Area of Science:
- Health Economics
- Health Services Research
- Public Health
Background:
- Tracking primary care spending in the US is hindered by a lack of standardized definitions and data sources.
- Previous efforts have been limited by methodological inconsistencies and data scarcity.
Purpose of the Study:
- To explore consistent approaches for estimating primary care spending in the United States.
- To apply a novel framework to existing datasets for a comprehensive analysis.
Main Methods:
- Utilized a recently developed framework for primary care services.
- Applied the framework to the Medical Expenditure Panel Survey (MEPS) and MarketScan datasets.
- Conducted cross-sectional and trend analyses from 2010-2021 to estimate spending per-person-per-year (PPPY) and as a percentage of total health care spending (PTHS).
Main Results:
- In 2019, primary care spending was estimated at $504 PPPY (8.07% PTHS) using MEPS and $378 PPPY (6.30% PTHS) using MarketScan.
- Primary care spending PPPY showed a steady increase from 2010 to 2021 across both datasets.
- Percentage of total health care spending for primary care exhibited minor fluctuations between 6% and 9% during the study period.
Conclusions:
- Comparable and reproducible estimates of primary care spending can be achieved with explicit definitions and transparent methodologies.
- Quantifying estimation uncertainty is crucial for accurate assessment and tracking of primary care expenditure.
- The study highlights the importance of standardized approaches for monitoring national health care spending.
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