# Costs and Quality of Primary Care Services: Implications for Community Health Centers

> **NIH AHRQ R01** · GEORGE WASHINGTON UNIVERSITY · 2020 · $303,627

## Abstract

Project Summary/Abstract
 Community health centers (CHCs) play an essential role in the U.S. health care system by delivering
primary care to a medically underserved population of approximately 26 million individuals in more than 1,300
CHCs regardless of patients' ability to pay. Given this mission, CHCs historically have been exposed to
relatively high financial risk. Federal funding for CHCs increased substantially through a trust fund established
under the Affordable Care Act; however, trust funding currently is scheduled to end in 2019. The financial
outlook for CHCs is threatened further as Congress considers options to significantly reduce funding for
Medicaid expansion and Marketplace subsidies.
 CHC viability depends upon sustainable financial health. To date, studies of the ACA impact on CHC
financial performance have focused on the effects of changing sources of revenue. Yet financial margins are
comprised of both revenue and cost components. This project is unique in taking a supply side approach to
CHC performance by estimating economic cost functions premised on the microeconomic theory of the firm. In
health care, cost function analyses have been used primarily in analyses in the hospital and nursing home
literatures. Our project is the first study to apply these methods to CHCs.
 We propose to employ a unique and underutilized panel database to explore CHC costs and to identify
drivers of CHC cost efficiency as they relate to current policy challenges facing CHCs. We initially will provide
a detailed description of national level variation in various components of CHC costs, establishing baseline
estimates for policy-meaningful groupings such as Medicaid-expansion versus non-expansion states and high
versus low medical shortage areas, and trends in the 2011-2018 study period. Next we will construct key
variables unique to CHCs that will serve as building blocks for CHC cost function estimation. These include a
wage index (labor input price), a cost of capital measure, a facility case-mix index, and composite quality
scores. Using these measures, we will estimate multi-product translog cost functions in our main empirical
specification, and estimate semi-log models in sensitivity analyses. We will apply the results of our cost
function estimations to produce a set of constructs useful in addressing policy-relevant issues. First, we will
assess whether CHCs experience cost-savings from service expansion versus contraction. Second we will
examine potential cost savings and complementarities from integrating primary care visits and more
specialized services in centers, notably mental health. Third, as funding constraints may affect quality of care,
we will explore the potential trade-off between CHC costs and quality of care.

## Key facts

- **NIH application ID:** 9896746
- **Project number:** 5R01HS026816-02
- **Recipient organization:** GEORGE WASHINGTON UNIVERSITY
- **Principal Investigator:** AVI DOR
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** AHRQ
- **Fiscal year:** 2020
- **Award amount:** $303,627
- **Award type:** 5
- **Project period:** 2019-04-01 → 2023-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9896746

## Citation

> US National Institutes of Health, RePORTER application 9896746, Costs and Quality of Primary Care Services: Implications for Community Health Centers (5R01HS026816-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9896746. Licensed CC0.

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