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Research ArticleOriginal Research

Access to Primary Care Appointments Following 2014 Insurance Expansions

Karin V. Rhodes, Simon Basseyn, Ari B. Friedman, Genevieve M Kenney, Douglas Wissoker and Daniel Polsky
The Annals of Family Medicine March 2017, 15 (2) 107-112; DOI: https://doi.org/10.1370/afm.2043
Karin V. Rhodes
1Northwell Health, Great Neck, New York
MD, MS
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  • For correspondence: krhodes@northwell.edu
Simon Basseyn
2Perelman School of Medicine, Philadelphia, Pennsylvania
3Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania
BA
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Ari B. Friedman
2Perelman School of Medicine, Philadelphia, Pennsylvania
3Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania
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Genevieve M Kenney
4The Wharton School, Philadelphia, Pennsylvania
PhD
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Douglas Wissoker
4The Wharton School, Philadelphia, Pennsylvania
PhD
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Daniel Polsky
2Perelman School of Medicine, Philadelphia, Pennsylvania
3Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania
PhD
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Article Figures & Data

Figures

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  • Figure 1
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    Figure 1

    Appointment rates for private insurance, by call wave.

    aDifference statistically significant at P <.05.

  • Figure 2
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    Figure 2

    Appointment rates for Medicaid, by call wave.

    aDifference statistically significant at P <.05.

  • Figure 3
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    Figure 3

    Wait times (calendar days to appointment) for private insurance, by call wave.

    Note: Horizontal lines in boxes represent median interval days to appointment. Upper and lower edges of boxes represent the 75th and 25th percentiles, respectively. Upper and lower ends of whiskers represent maxima and minima, respectively.

  • Figure 4
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    Figure 4

    Wait times (calendar days to appointment) for Medicaid, by call wave.

    Note: Horizontal lines in boxes represent median interval days to appointment. Upper and lower edges of boxes represent the 75th and 25th percentiles, respectively. Upper and lower ends of whiskers represent maxima and minima, respectively.

Tables

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    Table 1

    Sample Size, Month of Call, and Caller Characteristics by Call Wave

    First call wave (2012–2013)Second call wave (2014)
    PrivateMedicaidPrivateMedicaid
    Sample sizes, No.
     10 States5,3854,3522,4242,474
     Arkansas418249250248
     Georgia634517261293
     Illinois632596266281
     Iowa383373250261
     Massachusetts905714228251
     Montana124108121120
     New Jersey637478278278
     Oregon414296244212
     Pennsylvania582540255267
     Texas656481271263
    Month of call, No.
      Jan1,8011,56200
      Feb89072300
      Mar21811500
      Apr4000
      May001,805583
      Jun005951,546
      Jul0024339
      Aug0006
      Sep0000
      Oct0000
      Nov84865700
      Dec1,6241,29500
    Hypertension scenario, %50.950.449.849.9
    Female caller, %50.649.45154.4
    Race/ethnicity of caller, %
     White39.536.84345.6
     Black37.938.942.341.4
     Hispanic22.624.314.713.1
    Age of caller, %
     Age 18–2922.122.724.824.8
     Age 30–4451.050.547.845.8
     Age 45–6426.926.827.429.4

Additional Files

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  • The Article in Brief

    Access to Primary Care Appointments Following 2014 Insurance Expansions: The Sky is Not Falling

    Karin V. Rhodes , and colleagues

    Background The number of newly insured individuals in the US reached 20 million by early 2016 and has continued to grow. This has raised concerns about whether the primary care system can absorb millions of new patients seeking care.

    What This Study Found There is no evidence as of mid-2014 that the millions of individuals newly covered through Medicaid and the Patient Protection and Affordable Care Act strained primary care capacity. This was demonstrated by stability in appointment rates and wait times for new, privately insured patients and an increase in appointment access for new Medicaid patients in 10 study states. An audit of simulated patient calls to primary care practices for new-patient appointments found overall appointment rates for private insurance remained stable from 2012 to 2014 with Massachusetts and Pennsylvania experiencing significant increases. Medicaid appointment rates increased 10 percentage points with substantial variation by state. Across all callers, median wait times for those obtaining an appointment were seven days in 2012 and five days in 2014, but the difference was not statistically significant. In addition to the possibility that there was sufficient capacity to absorb the new patients, the authors posit several alternative explanations for not finding a decline in primary care availability despite the millions of newly insured. Possibilities include efficiencies created by components of the Patient-Centered Medical home model such as team-based care, after-hours and weekend care, electronic medical records, and telephone and e-mail communications; and broad trends in care reorganizations such as Accountable Care Organizations, alternative payment arrangements, and practice mergers that provide economies of scale.

    Implications

    • The authors conclude it will be important to continue tracking appointment availability and wait times in primary care.
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The Annals of Family Medicine: 15 (2)
The Annals of Family Medicine: 15 (2)
Vol. 15, Issue 2
March/April 2017
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Access to Primary Care Appointments Following 2014 Insurance Expansions
Karin V. Rhodes, Simon Basseyn, Ari B. Friedman, Genevieve M Kenney, Douglas Wissoker, Daniel Polsky
The Annals of Family Medicine Mar 2017, 15 (2) 107-112; DOI: 10.1370/afm.2043

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Access to Primary Care Appointments Following 2014 Insurance Expansions
Karin V. Rhodes, Simon Basseyn, Ari B. Friedman, Genevieve M Kenney, Douglas Wissoker, Daniel Polsky
The Annals of Family Medicine Mar 2017, 15 (2) 107-112; DOI: 10.1370/afm.2043
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Subjects

  • Person groups:
    • Vulnerable populations
  • Methods:
    • Quantitative methods
  • Other research types:
    • Health policy
  • Core values of primary care:
    • Access
  • Other topics:
    • Disparities in health and health care

Keywords

  • health service accessibility
  • waiting lists
  • primary care capacity
  • simulated patient studies
  • audit methodology
  • health care reform

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