Improving Access to Care at Autism Treatment Centers: A System Analysis Approach

Pediatrics. 2016 Feb:137 Suppl 2:S149-57. doi: 10.1542/peds.2015-2851M.

Abstract

Objective: The prevalence of autism spectrum disorder is steadily increasing and placing more demands on already overburdened diagnostic and treatment systems. A thoughtful, systematic reorganization of autism service delivery may reduce delays and better meet the growing need.

Methods: Two clinical centers in the Autism Intervention Research Network on Physical Health, Cincinnati Children's Hospital Medical Center (CCHMC) and Nationwide Children's Hospital (NCH), undertook a year-long access improvement project to reduce delays to care by using system analysis to identify sources of delay and to target changes by using a set of defined access principles. Although both sites addressed access, they focused on slightly different targets (reducing number of patients with autism spectrum disorders waiting for follow-up appointments at NCH and reducing delay to new diagnosis at CCHMC).

Results: Both sites achieved dramatic improvements in their complex, multidisciplinary systems. A 94% reduction in number of patients on the waitlist from 99 to 6 patients and a 22% reduction in median delay for a new ongoing care appointment were realized at NCH. A 94% reduction in third next available appointment for new physician visits for children 3 to 5 years old was realized at CCHMC.

Conclusions: This article demonstrates that 2 different clinical systems improved access to care for autism diagnosis and follow-up care by identifying sources of delay and using targeted changes based on a set of access change principles. With appropriate guidance and data analysis, improvements in access can be made.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Autism Spectrum Disorder / diagnosis
  • Autism Spectrum Disorder / therapy*
  • Autistic Disorder / diagnosis
  • Child, Preschool
  • Diagnosis, Differential
  • Health Services Accessibility / organization & administration*
  • Humans
  • Infant
  • Ohio
  • Systems Analysis*
  • Waiting Lists