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      Geographic access to federally qualified health centers before and after the affordable care act

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          Abstract

          Background

          The Affordable Care Act (ACA) increased funding for Federally Qualified Health Centers (FQHCs). We defined FQHC service areas based on patient use and examined the characteristics of areas that gained FQHC access post-ACA.

          Methods

          We defined FQHC service areas using total patient counts by ZIP code from the Uniform Data System (UDS) and compared this approach with existing methods. We then compared the characteristics of ZIP codes included in Medically Underserved Areas/Populations (MUA/Ps) that gained access vs. MUA/P ZIP codes that did not gain access to FQHCs between 2011–15.

          Results

          FQHC service areas based on UDS data vs. Primary Care Service Areas or counties included a higher percentage of each FQHC’s patients (86% vs. 49% and 71%) and ZIP codes with greater use of FQHCs among low-income residents (29% vs. 22% and 22%), on average. MUA/Ps that gained FQHC access 2011–2015 included more poor, uninsured, publicly insured, and foreign-born residents than underserved areas that did not gain access, but were less likely to be rural ( p < .05).

          Conclusions

          Measures of actual patient use provide a promising method of assessing FQHC service areas and access. Post-ACA funding, the FQHC program expanded access into areas that were more likely to have higher rates of poverty and uninsurance, which could help address disparities in access to care. Rural areas were less likely to gain access to FQHCs, underscoring the persistent challenges of providing care in these areas.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12913-022-07685-0.

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          Most cited references20

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          Primary care service areas: a new tool for the evaluation of primary care services.

          To develop and characterize utilization-based service areas for the United States which reflect the travel of Medicare beneficiaries to primary care clinicians. The 1996-1997 Part B and 1996 Outpatient File primary care claims for fee-for-service Medicare beneficiaries aged 65 and older. The 1995 Medicaid claims from six states (1995) and commercial claims from Blue Cross Blue Shield of Michigan (1996). A patient origin study was conducted to assign 1999 U.S. zip codes to Primary Care Service Areas on the basis of the plurality of beneficiaries' preference for primary care clinicians. Adjustments were made to establish geographic contiguity and minimum population and service localization. Generality of areas to younger populations was tested with Medicaid and commercial claims. Part B primary care claims were selected on the basis of provider specialty, place of service, and CPT code. Selection of Outpatient File claims used provider number, type of facility/service, and revenue center codes. The study delineated 6,102 Primary Care Service Areas with a median population of 17,276 (range 1,005-1,253,240). Overall, 63 percent of the Medicare beneficiaries sought the plurality of their primary care from within area clinicians. Service localization compared to Medicaid (six states) and commercial primary care utilization (Michigan) was comparable but not identical. Primary Care Service Areas are a new tool for the measurement of primary care resources, utilization, and associated outcomes. Policymakers at all jurisdictional levels as well as researchers will have a standardized system of geographical units through which to assess access to, supply, use, organization, and financing of primary care services.
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            Health care reform and primary care--the growing importance of the community health center.

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              The effects of hospital competition and the Medicare PPS program on hospital cost behavior in California.

              Previous studies of hospital competition have found that greater competition leads to higher hospital costs. In this paper we report how the behavior of California's hospitals has changed since the introduction of programs intended to contain the rate of increase of hospital costs. Using data that cover the period preceding and following the introduction of these programs, we found that hospitals in more competitive markets have lowered their costs significantly.
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                Author and article information

                Contributors
                vfung@mgh.harvard.edu
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                23 March 2022
                23 March 2022
                2022
                : 22
                : 385
                Affiliations
                [1 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Medical School, ; Boston, USA
                [2 ]GRID grid.32224.35, ISNI 0000 0004 0386 9924, Massachusetts General Hospital, ; Boston, USA
                [3 ]GRID grid.40263.33, ISNI 0000 0004 1936 9094, Brown University, ; Providence, USA
                [4 ]GRID grid.250279.b, ISNI 0000 0001 0940 3170, National Bureau of Economic Research, ; Cambridge, USA
                [5 ]GRID grid.189504.1, ISNI 0000 0004 1936 7558, T. H. Chan School of Public Health, ; Boston, USA
                [6 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Kennedy School, ; Cambridge, USA
                Article
                7685
                10.1186/s12913-022-07685-0
                8942056
                35321700
                6d0be203-1f1a-40ab-b8f5-4730246474f6
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 November 2021
                : 21 February 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000133, Agency for Healthcare Research and Quality;
                Award ID: R01HS025378
                Award ID: R01HS025378
                Award ID: R01HS025378
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Health & Social care
                access to care,underserved populations,primary care safety net,rural health,health disparities

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