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This article explores how a specialty type’s local workforce capacity and a specialty practice’s location relate to the likelihood of denying care to children covered by Medicaid and the Children's Health Insurance Program (CHIP) while accepting private insurance. Data on discriminatory denials of care to children with public insurance came from an audit study involving 273 practices across seven medical specialties serving children in Cook County, Illinois. These data were linked to physician workforce data and neighborhood poverty data to test for associations with discriminatory denials of public insurance, after adjusting for control variables. In a large metropolitan county, discriminatory denials of specialty care access for publicly insured children were attenuated for specialty types with greater local workforce capacity (odds ratio [OR]: 0.74, 95 percent; confidence interval [CI]: 0.57-0.98) and for practices located in higher-poverty neighborhoods (OR: 0.95, 95 percent; CI: 0.93- 0.98). Although limited as a single-site study, our findings support the widespread consensus that payment rates are the strongest driver of decisions to serve patients enrolled in public insurance programs. At a time when state and federal budgets are under strain, ensuring access equity for children covered by Medicaid and CHIP may require policies focused on economic levers tailored based on practice location. [ABSTRACT FROM AUTHOR]

Objective: To test whether specialty clinics' academic medical center (AMC) affiliation was associated with equity in scheduling appointments for children with public vs private insurance. Academic medical centers are safety-net providers of specialty medical care and it is unknown whether equitable access is afforded by AMCs across insurance conditions., Design: Audit study data were linked to data describing audited clinics., Setting: Specialty clinics serving children residing in Cook County, Illinois., Participants: From January-May 2010, 273 clinics were each called twice., Main Outcome Measures: Logistic regression was used to examine associations between AMC affiliation and discriminatory denials of Medicaid-Children's Health Insurance Program (CHIP) (ie, nonacceptance of Medicaid-CHIP when accepting commercial insurance), controlling for clinics' specialty type, practice size, neighborhood poverty level, and physicians' credentials. Among clinics that accepted both insurances, linear regression was used to examine the association between wait times (days) for appointments and insurance status, adjusting for covariates. Tests for interaction terms were performed to identify changes in wait time for academic clinics across insurance status., Results: Of the 273 paired calls to clinics, 155 (57%) resulted in discriminatory denials of Medicaid-CHIP. The odds of a discriminatory denial were 45% lower if a clinic was AMC affiliated (odds ratio, 0.55; 95% CI, 0.31-0.99). On average, academic clinics scheduled Medicaid-CHIP appointments with wait times 40 days longer than private insurance (β, 40.73; 95% CI, 5.06-76.41)., Conclusions: Affiliation with an AMC was associated with fewer discriminatory denials of children with Medicaid-CHIP. However, children with Medicaid-CHIP had significantly longer wait times at AMC-affiliated clinics compared with privately insured children. Academic medical centers' propensity toward serving publicly insured patients makes them candidates for targeted resource allocation, perhaps with incentives contingent on equitable appointment acceptance and wait times.