# Enhancing the Data Science Capabilities

> **NIH NIH P50** · MCLEAN HOSPITAL · 2020 · $350,311

## Abstract

1. Abstract
Patients with a first episode of psychosis (FEP) often have substantial amounts of morbidity during the months
and years after onset, and elevated mortality in later years. Growing amounts of evidence suggest that early
treatment might help; several recent national and state policies have increased focus, shifted priorities, and
provided additional resources to enhance FEP care, yet important gaps remain in the clinical knowledge base.
This project helps build the data foundation for addressing these gaps, and leverages the recently launched
Massachusetts Department of Mental Health (DMH) Center of Excellence in Early Psychosis (CoE). This state-
led effort is mandating standardized data collection on the delivery structure, processes, and outcomes of FEP
care, funding the data collection, and creating a process for improving data collection over time. Funding for
this work comes from recent SAMHSA policy directives concerning the state Mental Health Block Grants. In
close collaboration with DMH, this project will address three aims: 1) Synthesize the longitudinal data collected
by the state, including reviewing the data quality and altering the state data collection processes if needed; 2)
Validate care delivery measures that form the basis of clinical feedback and research; and 3) Integrate multiple
dimensions and perspectives of care outcomes. The structural data include information on clinic staffing and
CSC fidelity; the clinical data include measures on symptomatic stability, cognitive function, safety-related
outcomes, symptomatic relapse, and community function; the claims data come from the APCD used in Project
1. Working with the Methods Core, Project 2 will pay special attention to inherent challenges in data collection
in FEP research such as complexity of phenotypes and patterns of missingness (i.e. random vs. systematic).
Project 3 will result in validated, longitudinal data on patient phenotypes, which we will use in Project 3 to
examine clinical heterogeneity, and in pilot studies described in the Administrative Core. The protocols and
measures developed will inform state and state efforts to enhance data collection in FEP research. In sum, this
project takes creates the foundation through which large amounts of raw data collected by the state become
the basis of research that converts these data into useful clinical and policy knowledge.

## Key facts

- **NIH application ID:** 9928119
- **Project number:** 5P50MH115846-02
- **Recipient organization:** MCLEAN HOSPITAL
- **Principal Investigator:** Dost Ongur
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $350,311
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9928119

## Citation

> US National Institutes of Health, RePORTER application 9928119, Enhancing the Data Science Capabilities (5P50MH115846-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9928119. Licensed CC0.

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