# Using Implementation Interventions and Peer Recovery Support to Improve Opioid Treatment Outcomes in Community Supervision

> **NIH NIH U01** · BROWN UNIVERSITY · 2021 · $155,500

## Abstract

PROJECT SUMMARY
Numerous studies have documented an increased risk of mortality following release from prison. However,
considerable lags exist between the time that a death takes place and when cause of death information is
reported in State Vital Records. Reporting delays prevent health departments from being able to proactively
respond to public health emergencies as they arise. The main objective of this supplement application is to test
a novel strategy for analyzing deaths in real-time using publicly available obituary data and web scraping
technology. The following specific aims are proposed to expand the scientific impact of the parent grant 1) to
scale up a web scraping tool that will link names of individuals recently released from incarceration with
publicly available obituary and death information and 2) to validate web scraping linkage against a time period
for which confirmed deaths are available, including the accuracy of determining cause of death via obituary
data. The results of this project will enhance our ability to understand, in a timely way, all-cause mortality after
release, including death from overdose.

## Key facts

- **NIH application ID:** 10438018
- **Project number:** 3U01DA050442-03S1
- **Recipient organization:** BROWN UNIVERSITY
- **Principal Investigator:** Lauren Brinkley-Rubinstein
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $155,500
- **Award type:** 3
- **Project period:** 2019-08-01 → 2024-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10438018

## Citation

> US National Institutes of Health, RePORTER application 10438018, Using Implementation Interventions and Peer Recovery Support to Improve Opioid Treatment Outcomes in Community Supervision (3U01DA050442-03S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10438018. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*