Evaluating Implementation of a Patient Navigator Intervention to Improve Access to Diagnostic and Treatment Services for Children with Autism Spectrum Disorder
Significant racial, ethnic, and socioeconomic disparities exist in access to diagnostic and treatment services forchildren with autism spectrum disorder (ASD). Because earlier access to ASD services improves long-termoutcomes, delayed engagement with these services can be responsible for substantial morbidity. This patternof health service break-down – delay in care, leading to preventable morbidity – exists in many sectors of theUS health care system. One promising solution, which has been studied extensively over the past ten years, ispatient navigation. Patient navigation is a lay-delivered case management strategy designed to reduce healthdisparities by helping vulnerable populations overcome psychological and logistical hurdles to care. Navigationhas proven effectiveness in multiple disorders such as cancer and HIV, and early data support its use as astrategy to promote timely engagement with evidence-based services among children with ASD. However,despite navigation's substantial effectiveness data, multiple studies demonstrate the attenuation of its impact,and variable success, when implemented in real-world practice. This “research-practice” gap – wherebyeffective clinical innovations fail to be adopted (or practiced with appropriate fidelity) within real-world clinicalpractice – is ubiquitous in healthcare; but it is particularly problematic for low-income and minority populationsand the institutions that serve them. Furthermore, despite guidance to the contrary, few clinical trials proactivelycollect data on the complex patient, provider, and organizational factors that impact subsequentimplementation of the clinical innovations being tested. As a result of this missed opportunity, implementationstrategies are often arbitrary and prone to failure. Therefore, in this K23 application, I propose to use emergingtechniques in the field of dissemination and implementation science to evaluate key implementation processesof patient navigation in the context of an ongoing, NIMH-funded, multi-site randomized controlled trial of apatient navigation system designed to improve access to care for low-income children with ASD(R01MH104355, Feinberg). The goal of this work is to elucidate factors that can increase the likelihood of rapidand sustained uptake of patient navigation in diverse, real-world practice settings. My educational objectivesare to gain training and experience in dissemination and implementation science through the following goals: tolearn process mapping and analysis; to learn new qualitative methods; and to learn and apply a newquantitative technique - multilevel modeling. The research in this proposal builds directly on my prior work,which focused on using multidisciplinary teams to improve access to services for children with ASD and theirfamilies. I have identified an experienced mentoring team and a supportive research environment, which willensure that I attain my immediate and long-term goals. At the end of the award, I will be position to develop atestable data-driven implementation strategy to promote the rapid dissemination and implementation of patientnavigation to vulnerable children with ASD.
Interagency Autism Coordinating Committee (IACC)
Autism Research Database (AFD)
