BMC Health Services Research (Jul 2019)

Common step-wise interventions improved primary care clinic visits and reduced emergency department discharge failures: a large-scale retrospective observational study

  • Chet D. Schrader,
  • Richard D. Robinson,
  • Somer Blair,
  • Sajid Shaikh,
  • Amy F. Ho,
  • James P. D’Etienne,
  • Jessica J. Kirby,
  • Radhika Cheeti,
  • Nestor R. Zenarosa,
  • Hao Wang

DOI
https://doi.org/10.1186/s12913-019-4300-1
Journal volume & issue
Vol. 19, no. 1
pp. 1 – 11

Abstract

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Abstract Background It is critical to understand whether providing health insurance coverage, assigning a dedicated Primary Care Physician (PCP), and arranging timely post-Emergency Department (ED) clinic follow-up can improve compliance with clinic visits and reduce ED discharge failures. We aim to determine the benefits of providing these common step-wise interventions and further investigate the necessity of urgent PCP referrals on behalf of ED discharged patients. Methods This is a single-center retrospective observational study. All patients discharged from the ED over the period Jan 1, 2015 through Dec 31, 2017 were included in the study population. Step-wise interventions included providing charity health insurance, assigning a dedicated PCP, and providing ED follow-up clinics. PCP clinic compliance and ED discharge failures were measured and compared among groups receiving different interventions. Result A total of 227,627 patients were included. Fifty-eight percent of patients receiving charity insurance had PCP visits in comparison to 23% of patients without charity insurance (p < 0.001). Seventy-seven percent of patients with charity insurance and PCP assignments completed post-ED discharge PCP visits in comparison to only 4.5% of those with neither charity insurance nor PCP assignments (p < 0.001). Conclusions Step-wise interventions increased patient clinic follow-up compliance while simultaneously reducing ED discharge failures. Such interventions might benefit communities with similar patient populations.

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