Skip to main content

Main menu

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers

User menu

  • My alerts

Search

  • Advanced search
Annals of Family Medicine
  • My alerts
Annals of Family Medicine

Advanced Search

  • Home
  • Current Issue
  • Content
    • Current Issue
    • Early Access
    • Multimedia
    • Podcast
    • Collections
    • Past Issues
    • Articles by Subject
    • Articles by Type
    • Supplements
    • Plain Language Summaries
    • Calls for Papers
  • Info for
    • Authors
    • Reviewers
    • Job Seekers
    • Media
  • About
    • Annals of Family Medicine
    • Editorial Staff & Boards
    • Sponsoring Organizations
    • Copyrights & Permissions
    • Announcements
  • Engage
    • Engage
    • e-Letters (Comments)
    • Subscribe
    • Podcast
    • E-mail Alerts
    • Journal Club
    • RSS
    • Annals Forum (Archive)
  • Contact
    • Contact Us
  • Careers
  • Follow annalsfm on Twitter
  • Visit annalsfm on Facebook
Research ArticleOriginal Research

An Early Look at Rates of Uninsured Safety Net Clinic Visits After the Affordable Care Act

Heather Angier, Megan Hoopes, Rachel Gold, Steffani R. Bailey, Erika K. Cottrell, John Heintzman, Miguel Marino and Jennifer E. DeVoe
The Annals of Family Medicine January 2015, 13 (1) 10-16; DOI: https://doi.org/10.1370/afm.1741
Heather Angier
1Oregon Health & Science University, Portland, Oregon
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: angierh@ohsu.edu
Megan Hoopes
2OCHIN, Inc, Portland, Oregon
MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rachel Gold
2OCHIN, Inc, Portland, Oregon
3Kaiser Permanente Northwest Center for Health Research, Portland, Oregon
PhD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steffani R. Bailey
1Oregon Health & Science University, Portland, Oregon
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erika K. Cottrell
1Oregon Health & Science University, Portland, Oregon
2OCHIN, Inc, Portland, Oregon
PhD, MPP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John Heintzman
1Oregon Health & Science University, Portland, Oregon
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Miguel Marino
1Oregon Health & Science University, Portland, Oregon
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jennifer E. DeVoe
1Oregon Health & Science University, Portland, Oregon
2OCHIN, Inc, Portland, Oregon
MD, DPhil
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Abstract

PURPOSE The Affordable Care Act of 2010 supports marked expansions in Medicaid coverage in the United States. As of January 1, 2014, a total of 25 states and the District of Columbia expanded their Medicaid programs. We tested the hypothesis that rates of uninsured safety net clinic visits would significantly decrease in states that implemented Medicaid expansion, compared with states that did not.

METHODS We undertook a longitudinal observational study of coverage status for adult visits in community health centers, from 12 months before Medicaid expansion (January 1, 2013 to December 31, 2013) through 6 months after expansion (January 1, 2014 to June 30, 2014). We analyzed data from 156 clinics in the OCHIN practice-based research network, with a shared electronic health record, located in 9 states (5 expanded Medicaid coverage and 4 did not).

RESULTS Analyses were based on 333,655 nonpregnant adult patients and their 1,276,298 in-person billed encounters. Overall, clinics in the expansion states had a 40% decrease in the rate of uninsured visits in the postexpansion period and a 36% increase in the rate of Medicaid-covered visits. In contrast, clinics in the nonexpansion states had a significant 16% decline in the rate of uninsured visits but no change in the rate of Medicaid-covered visits.

CONCLUSIONS There was a substantial decrease in uninsured community health center visits and a significant increase in Medicaid-covered visits in study clinics in states that expanded Medicaid in 2014, whereas study clinics in states opting out of the expansion continued to have a high rate of uninsured visits. These findings suggest that Affordable Care Act–related Medicaid expansions have successfully decreased the number of uninsured safety net patients in the United States.

  • safety net clinics
  • uninsured
  • Affordable Care Act
  • practice-based research
  • primary care

INTRODUCTION

Health insurance facilitates access to care and reduces unmet health care needs,1–4 yet 47 million Americans did not have coverage in 2012.5 The Patient Protection and Affordable Care Act of 2010 (ACA), the largest health care–related legislation in the United States since Medicare’s establishment in 1966, was enacted with the goal of expanding coverage to all citizens and legal residents.6 The ACA calls for expansions in Medicaid coverage to individuals making up to 138% of the federal poverty level (FPL). In 2012, the Supreme Court ruled that states were not legally required to implement the ACA-sponsored Medicaid expansions, and those opting out could not be penalized.7 As of January 1, 2014, a total of 25 states and the District of Columbia had expanded their Medicaid programs.8

Estimates from previous studies suggested that 13 to 22 million individuals would gain Medicaid coverage after ACA implementation,9–11 and some actual results are now known.12,13 By June 2014, 7.2 million people were newly enrolled in Medicaid programs through the ACA,13 and since late 2013, the number of Americans without health insurance dropped by approximately 8.0 million.12 Many persons directly affected by these expansions are seen at community health centers (CHCs), which comprise much of our nation’s health care safety net, and serve a rapidly increasing number of patients regardless of their ability to pay14; in 2012, 36% of CHC patients were uninsured.15 Little is known, however, about the effects of the ACA expansions on the rate of uninsured safety net visits in states that did vs did not implement the Medicaid expansion.

This study compared rates of CHC visits by coverage status in the first 6 months after the ACA’s Medicaid expansions began, with those in the year before expansion. We tested the hypothesis that expansion will significantly decrease rates of uninsured CHC visits, and that rates of visits covered by insurance, particularly Medicaid, will increase significantly in CHCs in states that implemented Medicaid expansion, compared with states that did not.

METHODS

Data Source and Study Population

We used electronic health record data from the Oregon Community Health Information Network, renamed OCHIN as other states joined, a multi-state collaboration of health systems.16,17 This unique national organization facilitates implementation of electronic health records in CHCs and supports a practice-based research network. All OCHIN member clinics share a centrally hosted, linked instance of the EpicCare electronic health record (EPIC Systems). Almost all OCHIN clinic patients are from households below 200% of the FPL.16–18 We included a convenience sample of any CHCs having active status on OCHIN’s electronic health record as of January 1, 2013, totaling 167 CHCs in 11 states. We excluded CHCs from Texas because the majority of our eligible patient population was covered by a state-funded program similar to Medicaid in the preexpansion and postexpansion periods. We also excluded clinics in Wisconsin because their previously closed Medicaid program was opened to new applicants in 2014, so that state resembled an expansion state despite its nonexpansion status. After these exclusions, we had 156 CHCs located in 5 Medicaid expansion states (California, Minnesota, Ohio, Oregon, and Washington) and 4 nonexpansion states (Alaska, Indiana, Montana, and North Carolina). We included all face-to-face primary care visits by nonpregnant adults aged 19 to 64 years in the study period. Encounters were collected from 12 months before expansion (January 1, 2013 to December 31, 2013) through 6 months after expansion (January 1, 2014 to June 30, 2014) resulting in a total sample size of 333,655 patients with 1,276,298 encounters.

Variables

Our outcomes were rates of uninsured, Medicaid-insured, and commercially insured CHC visits in the preexpansion vs postexpansion periods overall, and by month across the 18-month study period. The primary independent variable was expansion status: whether or not a state expanded Medicaid eligibility to at least 138% of the FPL as of January 1, 2014.

Data Analysis

We computed χ2 statistics to compare patient panel characteristics between the study CHCs in expansion vs nonexpansion states. We conducted a 2-group longitudinal preexpansion vs postexpansion analysis where we compared visit rates in each period by expansion status. For greater detail about changes in visit rates, we did a preexpansion vs postexpansion analysis for each state. Generalized estimating equation Poisson models with compound symmetry correlation structure and empirical sandwich variance estimator were fitted to obtain rates and rate ratios (RRs) for the pre-expansion and postexpansion periods with 95% CIs, accounting for temporal correlation within CHCs, and adjusting for significant CHC and state-level covariates. We fitted similar regression models to obtain visit rates by month across the study period.

To account for differences in the composition of the CHCs’ patient panels, we adjusted for clinic-level frequencies of sex, age, race, ethnicity, urban vs rural residence, and household income. When comparing expansion vs nonexpansion status, we also assessed potential state-level economic covariates: 2014 minimum wage19 and unemployment rates,20 and the 2013 rate of uninsured adults.21 Significant covariates (P <.05) from an initial multivariable model were retained in final models. All statistical analyses were done using SAS version 9.3 (SAS Institute, Inc). This study was reviewed and approved by the Oregon Health & Science University Institutional Review Board.

RESULTS

At the start of the study period, CHCs in states that expanded Medicaid eligibility had younger patients, more patients under 138% of the FPL, fewer nonwhite patients, more Hispanic patients, and more patients in urban areas (P <.001 for all, Table 1). The overall encounter rate in the postexpansion period increased by 5% compared with the rate in the prior year in expansion state CHCs (RR = 1.05; 95% CI, 1.01–1.08; P = .01); the encounter rate remained unchanged across CHCs in nonexpansion states (RR = 0.95; 95% CI, 0.87–1.04; P = .25).

View this table:
  • View inline
  • View popup
Table 1

Characteristics of States, CHCs, and Encounter Rates Before and After Medicaid Expansion

The rate of Medicaid-covered visits increased sig nificantly in expansion state CHCs (RR = 1.36; 95% CI, 1.24–1.49; P <.001), while remaining unchanged across CHCs in nonexpansion states (RR = 1.05; 95% CI, 0.94–1.18; P = .35). The uninsured visit rate was 40% lower in the postexpansion period among expansion state CHCs (RR = 0.60; 95% CI, 0.54–0.67; P <.001); this rate also dropped in nonexpansion states CHCs, but to a lesser degree (RR = 0.84; 95% CI, 0.74–0.95; P = .01).

The results of our temporal analyses show a decline in postexpansion uninsured visit rates over time in the study CHCs in several expansion states, most notably Oregon, Washington, and Ohio (Figure 1). CHCs in California and Minnesota had low rates of uninsured visits throughout the study. Uninsured visit rates in nonexpansion state CHCs showed a less consistent pattern: declines in Montana, Indiana, and Alaska CHCs were not seen until March 2014, and uninsured rates remained steady in North Carolina CHCs.

Figure 1
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1

Adjusted rates of uninsured visits by month among CHCs in expansion and nonexpansion states.

ACA = Affordable Care Act; CHC = community health center.

Notes: Rates calculated per 1,000 adult patients across entire study period. Poisson general estimating equation (GEE) model adjusted for percent of patients aged younger than 40 years and percent Hispanic, accounting for temporal correlation within CHCs over time.

Figure 2 presents monthly visit coverage rates for CHCs by expansion status. In the first month postexpansion, the rate of Medicaid-covered visits increased 32% in expansion state CHCs, with an average increase of 71 encounters per CHC per month. In the same states, the rate of uninsured visits declined throughout the postexpansion period. Among CHCs in states that did not expand Medicaid, a modest increase in commercially insured visit rates was seen in the postexpansion period, but the difference between the preexpansion vs postexpansion periods was not statistically significant (P = .44).

Figure 2
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2

Adjusted visit rates by coverage status and month among CHCs in expansion and nonexpansion states.

ACA = Affordable Care Act; CHC = community health center.

Notes: Rates calculated per 1,000 adult patients across entire study period. Poisson general estimating equation (GEE) model adjusted for percent nonwhite race, percent Hispanic, percent ≤138% federal poverty level (FPL), and percent with unknown FPL; models account for temporal correlation within CHCs over time.

DISCUSSION

Main Findings

This study, the first to use electronic health record data to measure changes in CHC encounter coverage rates after ACA Medicaid expansions, found a 40% decrease in the rate of uninsured CHC visits in study Medicaid expansion states in 2014. Our findings confirm other reports showing increased health insurance coverage rates subsequent to state Medicaid expansion12,24,25 and add new information demonstrating a measurable effect on CHC visits in expansion states.

Although millions will gain Medicaid coverage after ACA implementation,9,10 it is also estimated that as many as 42% of adults who have not had insurance will continue to be without coverage options in states that have decided not to expand Medicaid,26,27 and that income-based inequalities will persist.28 CHCs will therefore likely continue to play a vital role in providing health care to vulnerable populations after the ACA, especially for adults in nonexpansion states who earn too much to qualify for Medicaid, but too little to afford private coverage.29 This population, estimated at nearly 5 million adults, has very limited coverage options and faces barriers to health care access.27 If every state participated in Medicaid expansions, such disparities in health care coverage and access could be mitigated.30 Additionally, the benefit of eliminating these disparities could reach beyond individual adult patients, affecting children and others in the household.29,31,32

Uninsured visits among study CHCs in California showed little change during the study period, which could be due to the backlog of Medicaid applications after expansion.33 The modest decline in uninsured visit rates in nonexpansion states could be attributable to increased coverage options available through the ACA’s insurance marketplaces, although we did not see an increase in commercially insured patients in nonexpansion states. Another explanation is that the capacity for seeing uninsured patients decreased in these states; more research is needed to better understand these findings.

Limitations

This study was based on a convenience sample of primary care CHCs with a linked electronic health record. These CHCs are located in 9 states, some of which are represented by only a few CHCs; thus, our results are not necessarily representative of the post-ACA experiences of all states, all CHCs in the study states, or expansion status groups. Our visit-based analysis evaluates the impact of Medicaid expansion on safety net clinics, but does not capture changes in individuals’ insurance status or patient panel characteristics. There were significant differences between expansion and nonexpansion states’ CHC patients in our sample, which we attempted to account for through adjusted multivariate analysis and by using expansion states as their own control in preexpansion vs postexpansion period comparisons. We recognize, however, that unobserved confounders could potentially influence these results.

Conclusion

We found a significant decrease in uninsured CHC visits and a significant increase in Medicaid-covered visits in study clinics in states that expanded Medicaid in 2014, whereas study CHCs in states opting out of the expansion maintained a high rate of uninsured visits. These findings suggest that ACA-related Medicaid expansions have been successful in decreasing the number of uninsured safety net patients in the United States.

Acknowledgments

We thank the OCHIN practice-based research network and the clinics for assisting with this research.

Footnotes

  • Conflicts of interest: authors report none.

  • Funding support: This work was financially supported by the Patient-Centered Outcomes Research Institute (PCORI), the National Cancer Institute (NCI) of the National Institutes of Health, grant 1 R01 CA181452 01, and the Oregon Health & Science University Department of Family Medicine.

  • Disclaimer: The funding agencies had no involvement in the design and conduct of the study; analysis and interpretation of the data; and preparation, review, or approval of the manuscript.

  • Received for publication September 26, 2014.
  • Revision received November 13, 2014.
  • Accepted for publication November 19, 2014.
  • © 2015 Annals of Family Medicine, Inc.

References

  1. ↵
    1. Asplin BR,
    2. Rhodes KV,
    3. Levy H,
    4. et al
    . Insurance status and access to urgent ambulatory care follow-up appointments. JAMA. 2005;294(10):1248–1254.
    OpenUrlCrossRefPubMed
    1. Smolderen KG,
    2. Spertus JA,
    3. Nallamothu BK,
    4. et al
    . Health care insurance, financial concerns in accessing care, and delays to hospital presentation in acute myocardial infarction. JAMA. 2010;303(14):1392–1400.
    OpenUrlCrossRefPubMed
    1. Burstin HR,
    2. Lipsitz SR,
    3. Brennan TA
    . Socioeconomic status and risk for substandard medical care. JAMA. 1992;268(17):2383–2387.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Bindman AB,
    2. Grumbach K,
    3. Osmond D,
    4. et al
    . Preventable hospitalizations and access to health care. JAMA. 1995;274(4):305–311.
    OpenUrlCrossRefPubMed
  3. ↵
    Kaiser Commission on Medicaid and the Uninsured. The uninsured: a primer – key facts about health insurance on the eve of health reform. http://kff.org/uninsured/report/the-uninsured-a-primer-key-facts-about-health-insurance-on-the-eve-of-coverage-expansions/. Published Oct 23, 2013. Updated Dec 5, 2014. Accessed Aug 20, 2014.
  4. ↵
    1. Henry J
    . Kaiser Family Foundation. Summary of the Affordable Care Act. http://kff.org/health-reform/fact-sheet/summary-of-the-affordable-care-act/. Published Apr 25, 2013. Accessed Aug 12, 2014.
  5. ↵
    National Federation of Independent Business et al v Sebelius. 567 US 2012; http://www.supremecourt.gov/opinions/11pdf/11-393c3a2.pdf. Accessed Mar 4, 2014.
  6. ↵
    Kaiser Commission on Medicaid and the Uninsured. Medicaid eligibility for adults as of January 1, 2014. October 1, 2013. http://kff.org/medicaid/fact-sheet/medicaid-eligibility-for-adults-as-of-january-1-2014/. Accessed Aug 20, 2014.
  7. ↵
    1. Sommers BD,
    2. Swartz K,
    3. Epstein A
    . Policy makers should prepare for major uncertainties in Medicaid enrollment, costs, and needs for physicians under health reform. Health Aff (Millwood). 2011;30(11):2186–2193.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Parente ST,
    2. Feldman R
    . Microsimulation of private health insurance and Medicaid take-up following the U.S. Supreme court decision upholding the Affordable Care Act. Health Serv Res. 2013;48(2 Pt 2):826–849.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Blumenthal D,
    2. Collins SR
    . Health care coverage under the Affordable Care Act—a progress report. N Engl J Med. 2014;371(3):275–281.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Long SK,
    2. Kenney GM,
    3. Zuckerman S,
    4. et al
    . Taking stock at mid-year: health insurance coverage under the ACA as of June 2014. http://hrms.urban.org/briefs/taking-stock-at-mid-year.html. Published Jul 29, 2014. Accessed Aug 12, 2014.
  11. ↵
    Department of Health and Human Services. Medicaid & CHIP: June 2014 monthly applications, eligibility determinations, and enrollment report. http://medicaid.gov/AffordableCareAct/Medicaid-Moving-Forward-2014/Downloads/June-2014-Enrollment-Report.pdf. Published Aug 8, 2014.
  12. ↵
    1. Morgan D
    . US health centers for poor, uninsured see ranks swell. May 1, 2012. http://www.reuters.com/article/2012/05/01/us-usa-healthcare-centers-idUSBRE8401JL20120501. Accessed Feb 21, 2013.
  13. ↵
    National Association of Community Health Centers. A sketch of community health centers. Chart book 2014. 2014. http://www.nachc.com/client//Chartbook_2014.pdf.
  14. ↵
    1. Devoe JE,
    2. Sears A
    . The OCHIN community information network: bringing together community health centers, information technology, and data to support a patient-centered medical village. J Am Board Fam Med. 2013;26(3):271–278.
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Devoe JE,
    2. Gold R,
    3. Spofford M,
    4. et al
    . Developing a network of community health centers with a common electronic health record: description of the Safety Net West Practice-based Research Network (SNW-PBRN). J Am Board Fam Med. 2011;24(5):597–604.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Hatch B,
    2. Angier H,
    3. Marino M,
    4. et al
    . Using electronic health records to conduct children’s health insurance surveillance. Pediatrics. 2013;132(6):e1584–e1591.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    CNN. 2014 Minimum wage, state by state. National Employment Law Project. http://money.cnn.com/interactive/pf/state-minimum-wage/. Accessed Aug 12, 2014.
  18. ↵
    Bureau of Labor Statistics. Current unemployment rates for states and historical highs/lows. http://www.bls.gov/web/laus/lauhsthl.htm. Accessed Aug 12, 2014.
  19. ↵
    1. Witters D
    . Highest uninsured states less likely to embrace health law. February 7, 2014. http://www.gallup.com/poll/167321/highest-uninsured-states-less-likely-embrace-health-law.aspx. Accessed Aug 12, 2014.
  20. Kaiser Commission on Medicaid and the Uninsured. Getting into gear for 2014: findings from a 50-state survey of eligibility, enrollment, renewal, and cost-sharing policies in Medicaid and CHIP, 2012–2013. http://kff.org/medicaid/report/getting-into-gear-for-2014-findings-from-a-50-state-survey-of-eligibility-enrollment-renewal-and-cost-sharing-policies-in-medicaid-and-chip-2012–2013/. Published Jan 23, 2013. Accessed Aug 20, 2014.
  21. Kaiser Commission on Medicaid and the Uninsured. State marketplace statistics. http://kff.org/health-reform/state-indicator/state-marketplace-statistics/#note-7. Accessed Aug 20, 2014.
  22. ↵
    1. Clemans-Cope L,
    2. Long SK,
    3. Coughlin TA,
    4. Yemane A,
    5. Resnick D
    . The expansion of Medicaid coverage under the ACA: implications for health care access, use, and spending for vulnerable low-income adults. Inquiry. 2013;50(2):135–149.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Price CC,
    2. Eibner C
    . For states that opt out of Medicaid expansion: 3.6 million fewer insured and $8.4 billion less in federal payments. Health Aff (Millwood). 2013;32(6):1030–1036.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Rasmussen PW,
    2. Collins SR,
    3. Doty MM,
    4. Garber T
    . In states’ hands: how the decision to expand Medicaid will affect the most financially vulnerable Americans: findings from the Commonwealth Fund Health Insurance Tracking Surveys of U.S. Adults, 2011 and 2012. Issue Brief (Commonw Fund). 2013;23:1–8.
    OpenUrlPubMed
  25. ↵
    Kaiser Commission on Medicaid and the Uninsured. The coverage gap: uninsured poor adults in states that do not expand Medicaid. March 2014. http://kff.org/health-reform/issue-brief/the-coverage-gap-uninsured-poor-adults-in-states-that-do-not-expand-medicaid/. Accessed Aug 4, 2014.
  26. ↵
    1. Collins SR,
    2. Robertson R,
    3. Garber T,
    4. Doty MM
    . The income divide in health care: how the Affordable Care Act will help restore fairness to the U.S. health system. Issue Brief (Commonw Fund). 2012;3:1–24.
    OpenUrlPubMed
  27. ↵
    1. Angier H,
    2. DeVoe JE,
    3. Tillotson CJ,
    4. Wallace LS
    . Changes in health insurance for US children and their parents: comparing 2003 to 2008. Fam Med. 2013;45(1):26–32.
    OpenUrlPubMed
  28. ↵
    1. Crowley RA,
    2. Golden W
    . Health policy basics: Medicaid expansion. Ann Intern Med. 2014;160(6):423–425.
    OpenUrlPubMed
  29. ↵
    1. Dubay L,
    2. Kenney G
    . The impact of CHIP on children’s insurance coverage: an analysis using the National Survey of America’s Families. Health Serv Res. 2009;44(6):2040–2059.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Angier H,
    2. DeVoe JE,
    3. Tillotson C,
    4. Wallace L,
    5. Gold R
    . Trends in health insurance status of US children and their parents, 1998–2008. Matern Child Health J. 2013;17(9):1550–1558.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Galewitz P
    . Kaiser Health News. More than 1.7 million consumers still wait for Medicaid decisions. http://kaiserhealthnews.org/news/more-than-17-million-consumers-still-wait-for-medicaid-decisions. Published Jun 9, 2014. Accessed Sep 26, 2014.
PreviousNext
Back to top

In this issue

The Annals of Family Medicine: 13 (1)
The Annals of Family Medicine: 13 (1)
Vol. 13, Issue 1
January/February 2015
  • Table of Contents
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
  • In Brief
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Annals of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
An Early Look at Rates of Uninsured Safety Net Clinic Visits After the Affordable Care Act
(Your Name) has sent you a message from Annals of Family Medicine
(Your Name) thought you would like to see the Annals of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
15 + 3 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
An Early Look at Rates of Uninsured Safety Net Clinic Visits After the Affordable Care Act
Heather Angier, Megan Hoopes, Rachel Gold, Steffani R. Bailey, Erika K. Cottrell, John Heintzman, Miguel Marino, Jennifer E. DeVoe
The Annals of Family Medicine Jan 2015, 13 (1) 10-16; DOI: 10.1370/afm.1741

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Get Permissions
Share
An Early Look at Rates of Uninsured Safety Net Clinic Visits After the Affordable Care Act
Heather Angier, Megan Hoopes, Rachel Gold, Steffani R. Bailey, Erika K. Cottrell, John Heintzman, Miguel Marino, Jennifer E. DeVoe
The Annals of Family Medicine Jan 2015, 13 (1) 10-16; DOI: 10.1370/afm.1741
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Health Care Expenditures Among Adults With Diabetes After Oregons Medicaid Expansion
  • Following Uninsured Patients Through Medicaid Expansion: Ambulatory Care Use and Diagnosed Conditions
  • Impact of Alternative Payment Methodology on Primary Care Visits and Scheduling
  • The Impact of the Affordable Care Act (ACA) Medicaid Expansion on Visit Rates for Diabetes in Safety Net Health Centers
  • Implementation of Health Insurance Support Tools in Community Health Centers
  • Uninsured Primary Care Visit Disparities Under the Affordable Care Act
  • At Federally Funded Health Centers, Medicaid Expansion Was Associated With Improved Quality Of Care
  • Medicaid Expansion And Grant Funding Increases Helped Improve Community Health Center Capacity
  • After Medicaid Expansion In Kentucky, Use Of Hospital Emergency Departments For Dental Conditions Increased
  • Community Health Center Use After Oregon's Randomized Medicaid Experiment
  • In This Issue: Policy and Practice
  • Google Scholar

More in this TOC Section

  • Shared Decision Making Among Racially and/or Ethnically Diverse Populations in Primary Care: A Scoping Review of Barriers and Facilitators
  • Convenience or Continuity: When Are Patients Willing to Wait to See Their Own Doctor?
  • Feasibility and Acceptability of the “About Me” Care Card as a Tool for Engaging Older Adults in Conversations About Cognitive Impairment
Show more Original Research

Similar Articles

Subjects

  • Person groups:
    • Vulnerable populations
  • Methods:
    • Quantitative methods
  • Other research types:
    • Health policy
    • Health services
  • Core values of primary care:
    • Access

Keywords

  • safety net clinics
  • uninsured
  • Affordable Care Act
  • practice-based research
  • primary care

Content

  • Current Issue
  • Past Issues
  • Early Access
  • Plain-Language Summaries
  • Multimedia
  • Podcast
  • Articles by Type
  • Articles by Subject
  • Supplements
  • Calls for Papers

Info for

  • Authors
  • Reviewers
  • Job Seekers
  • Media

Engage

  • E-mail Alerts
  • e-Letters (Comments)
  • RSS
  • Journal Club
  • Submit a Manuscript
  • Subscribe
  • Family Medicine Careers

About

  • About Us
  • Editorial Board & Staff
  • Sponsoring Organizations
  • Copyrights & Permissions
  • Contact Us
  • eLetter/Comments Policy

© 2025 Annals of Family Medicine