# OPTICC: Advancing Health Equity through Implementation Science: ISC3 Environmental Scan and Cross Site Collaboration Supplement

> **NIH NIH P50** · UNIVERSITY OF WASHINGTON · 2021 · $74,988

## Abstract

SUMMARY
Social determinants of health are key influencers of health inequality and contribute to health disparities
between populations and communities. Implementation science (IS) has particular potential to accelerate
progress toward achieving health equity goals, and significant work has focused on implementation in settings
that serve marginalized populations. Context is a central feature of IS, yet it is frequently poorly defined or goes
unreported. When it is considered, attention to context is mostly focused on the inner setting in which the
intervention is implemented, with relatively little consideration of how the outer context may impact
implementation. Failure to fully measure outer context and to use those data to inform implementation efforts
limits the applicability and generalizability of study findings to different populations, settings, and time periods.
This supplement application under the OPTICC (Optimizing Implementation in Cancer Control) Center will
meet this challenge by partnering with the six other ISC3 centers to create a set of outer context common data
elements (OC-CDE) that will be collected for all centers. Our proposed Aim is to characterize the outer context
of OPTICC's I-Lab and contribute to the OC-CDE database. We will conduct an environmental scan of outer
context factors that may impact OPTICC I-Lab implementation outcomes and create an OC-CDE database in
collaboration with ISC3 centers. For this process, we will meaningfully engage our I-Lab partners to not simply
define state and county-level catchment areas for OC-CDE collection but also to explore how they might utilize
these data and their impressions of its impact on EBI implementation. This input will inform OPTICC's center-
wide use of causal pathway diagrams articulating the role of factors influencing how strategies work. We will
utilize the HealthLandscapes database to collect select measures across the domains of interest,
supplementing it with other publicly available data as needed. The final dataset will be uploaded into a shared
REDCap database for analysis, manuscript development, and pilot planning. The final quarter of the project will
be spent on data cleaning, development of the cross-center data repository, and publications, presentations,
and pilot project planning. The primary deliverable for this phase I effort is the development of a database with
outer context measures for each center's catchment area and the initial description of the outer context across
participating centers. We also expect this work to yield a rich data asset, with engaged I-Lab partners, and a
causal pathway positioning us to engage in cross-center pilot studies to advance health equity. This work will
prepare centers for future opportunities to investigate the relationship of contextual factors to implementation
strategy selection, successful implementation, and sustainment.

## Key facts

- **NIH application ID:** 10414683
- **Project number:** 3P50CA244432-03S2
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Margaret A Hannon
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $74,988
- **Award type:** 3
- **Project period:** 2019-09-20 → 2024-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10414683

## Citation

> US National Institutes of Health, RePORTER application 10414683, OPTICC: Advancing Health Equity through Implementation Science: ISC3 Environmental Scan and Cross Site Collaboration Supplement (3P50CA244432-03S2). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10414683. Licensed CC0.

---

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