Significant racial, ethnic, and socioeconomic disparities exist in access to diagnostic and treatment services for children with autism spectrum disorder (ASD). Because earlier access to ASD services improves long-term outcomes, delayed engagement with these services can be responsible for substantial morbidity. This pattern of health service break-down ? delay in care, leading to preventable morbidity ? exists in many sectors of the US health care system. One promising solution, which has been studied extensively over the past ten years, is patient navigation. Patient navigation is a lay-delivered case management strategy designed to reduce health disparities by helping vulnerable populations overcome psychological and logistical hurdles to care. Navigation has proven effectiveness in multiple disorders such as cancer and HIV, and early data support its use as a strategy 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 ? whereby effective clinical innovations fail to be adopted (or practiced with appropriate fidelity) within real-world clinical practice ? is ubiquitous in healthcare; but it is particularly problematic for low-income and minority populations and the institutions that serve them. Furthermore, despite guidance to the contrary, few clinical trials proactively collect data on the complex patient, provider, and organizational factors that impact subsequent implementation of the clinical innovations being tested. As a result of this missed opportunity, implementation strategies are often arbitrary and prone to failure. Therefore, in this K23 application, I propose to use emerging techniques in the field of dissemination and implementation science to evaluate key implementation processes of patient navigation in the context of an ongoing, NIMH-funded, multi-site randomized controlled trial of a patient 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 rapid and sustained uptake of patient navigation in diverse, real-world practice settings. My educational objectives are to gain training and experience in dissemination and implementation science through the following goals: to learn process mapping and analysis; to learn new qualitative methods; and to learn and apply a new quantitative 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 their families. I have identified an experienced mentoring team and a supportive research environment, which will ensure that I attain my immediate and long-term goals. At the end of the award, I will be position to develop a testable data-driven implementation strategy to promote the rapid dissemination and implementation of patient navigation to vulnerable children with ASD.

Public Health Relevance

Significant racial, ethnic, and socioeconomic disparities exist for children with autism spectrum disorder (ASD). In the application, I seek to elucidate elements that contribute to the implementation of patient navigation, an intervention designed to reduce disparities for children with ASD. The goal of these investigations is to assure rapid implementation and dissemination of navigation into future populations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
5K23MH109673-05
Application #
10002313
Study Section
Mental Health Services Research Committee (SERV)
Program Officer
Hill, Lauren D
Project Start
2016-09-26
Project End
2021-08-31
Budget Start
2020-09-01
Budget End
2021-08-31
Support Year
5
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Boston Medical Center
Department
Type
DUNS #
005492160
City
Boston
State
MA
Country
United States
Zip Code
02118
Broder Fingert, Sarabeth; Carter, Alice; Pierce, Karen et al. (2018) Implementing systems-based innovations to improve access to early screening, diagnosis, and treatment services for children with autism spectrum disorder: An Autism Spectrum Disorder Pediatric, Early Detection, Engagement, and Services network study. Autism :1362361318766238
Broder-Fingert, Sarabeth; Walls, Morgan; Augustyn, Marilyn et al. (2018) A hybrid type I randomized effectiveness-implementation trial of patient navigation to improve access to services for children with autism spectrum disorder. BMC Psychiatry 18:79
Broder-Fingert, Sarabeth; Feinberg, Emily; Silverstein, Michael (2018) Improving Screening for Autism Spectrum Disorder: Is It Time for Something New? Pediatrics 141:
Broder-Fingert, Sarabeth; Silva, Christine; Silverstein, Michael et al. (2017) Participant characteristics in autism intervention studies. Autism :1362361317722306