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OBJECTIVES/GOALS: Real-world data (RWD) may offer insights into mental health treatment as usual and illuminate targets for implementation and translation. This requires strong research-community partnerships (RCP). In this presentation, we will highlight key components of an ongoing RCP in leveraging RWD to advance translational science. METHODS/STUDY POPULATION: The RCP was formed to develop an infrastructure for NAMI Chicago, a community-based organization that oversees a city-wide social services helpline, to support collection of RWD data to understand whether NAMI helpline support services and referrals meet callers’ emotional and physical needs. This RCP includes three entities: NAMI Chicago, UIC’s Center for Clinical and Translational Science’s Community Engagement and Collaboration (CEC) Core, and UIC’s Institute for Health and Research Policy’s Data Management Core (DMC). From a preliminary review of case notes, this case study details concrete examples that fit into Brookman-Frazee etal. (2012)’s RCP framework to illustrate the trajectory of this partnership through its formation, execution of activities, and sustaining NAMI Chicago’s data capacity. RESULTS/ANTICIPATED RESULTS: In the formation of this RCP, we identified our joint goal of creating a database infrastructure to link NAMI Chicago’s existing helpline data with a database co-created in REDCap through APIs. Based on the identified joint goal, we defined our roles/responsibilities that best aligned with our own individual expertise to execute the necessary operational processes. The RCP is currently executing the activities to create this data infrastructure. Barriers included delays in securing a computing environment and enablers included an established long-standing relationship between NAMI Chicago and CEC. Distal outcomes of this RCP include increasing NAMI Chicago’s capacity to systematically use RWD to better inform their practices and identify barriers in accessing social service resources in Chicago. DISCUSSION/SIGNIFICANCE: The identification of enablers, barriers, and the necessary operational processes and activities will outline a “blueprint” for other institutions and community organizations to successfully utilize RWD to understand mental health practices and advance translational research.

OBJECTIVES/GOALS: This study examined patterns in helpline call data as the COVID-19 pandemic evolved including the impact of stay-at-home orders, relaxing of restrictive orders, and stages of vaccine uptake, as well as differences in call volume by Chicago neighborhood health indicators. METHODS/STUDY POPULATION: From November 1, 2018 to June 30, 2021, 56 NAMI-Chicago workers accepted 26,173 helpline calls from 9,374 individuals from 438 zip codes across northeastern Illinois with the majority of calls from high poverty Chicago communities. Descriptive and time series analyses examined patterns in call volume related to the onset of the COVID-19 pandemic, Illinois Stay-at-Home Order, and Illinois reopening and vaccine uptake plan relative to comparable times the prior year. Health indicators from the Chicago Health Atlas (https://chicagohealthatlas.org/) were examined to determine patterns related to NAMI call volume and various health indicators at the zip code level. RESULTS/ANTICIPATED RESULTS: Time series analysis indicated the greatest number of calls occurred in 2020; specifically, there was a 212% increase in call volume and 331% increase in repeat callers (three or more calls per caller) during the first and second phase (March 20th to May 28th) of Illinois Stay-at-Home Order from 2019 to 2020. Analysis of the callers primary need indicated NAMI provided resources and referrals to people with unmet basic needs such as housing, food, and access to healthcare during the height of COVID-19 Pandemic in 2020. A series of ANOVAs indicated that individuals from Chicago zip codes with high levels of uninsured rates, poverty rates, households using SNAP benefits, and economic diversity called NAMI significantly more than those with low levels of these health indicators. DISCUSSION/SIGNIFICANCE: Helplines are a much-needed model to assess needs and implement services during public health crises, particularly in communities experiencing economic hardship and stress. Implications for behavioral health service needs both during and following the pandemic will be discussed.