# COHERE – COntextualized care in cHcs’ Electronic health Records

> **NIH NIH R01** · KAISER FOUNDATION RESEARCH INSTITUTE · 2022 · $607,585

## Abstract

PROJECT SUMMARY/ABSTRACT: Factors such as food, transportation, and housing instability, social
isolation, and neighborhood conditions profoundly impact health outcomes. Shaped by a long history of
racial, social, and economic inequity in the US, such factors also underlie health inequities. Many healthcare
leaders now recommend systematic documentation of these social risk factors. Yet while social risk data are
increasingly available in electronic health records (EHR), research is lacking on how healthcare teams
can use these data to improve patient health and decrease health inequities. Social risk-targeted care
(referrals to service agencies) can improve health outcomes, but recent research suggests that such
improvements are not solely the result of addressing social conditions. Another path to improved outcomes
involves social risk-informed care: modifying care plans to account for patients’ social risks (e.g., adjusting
insulin prescribing so that when food benefits run out at the end of the month, patients are less likely to be
hospitalized with hypoglycemia). Such social risk-informed care may seem intuitive, but very little research
has examined how care teams can effectively and systematically make such adaptations. This study will be
the first to examine how EHR-based clinical decision support (CDS) could support the provision of
contextualized, social risk-informed care. Our Aims are: 1. Obtain stakeholder input from community
health center (CHC) staff and patients on care plan adaptations that could mitigate social risks’ impact on
patient health and ability to adhere to care recommendations. Develop and pilot-test EHR-integrated CDS
tools that present social risks and suggest relevant care plan adaptations. 2. Randomize 12 CHCs to
receive: Arm 1) a CDS tool with a social risk summary, links to social service information, and a reminder to
consider social risks in care planning; or Arm 2) a CDS tool with the same summary, reminder, and links,
plus specific care plan adaptation suggestions tailored to a given patient’s social risks. Assess each tool’s
impact on selected national Care Quality Measures (CQM), accounting for secular trends. 3. Assess
enactment of the tools’ suggested care plan adaptations, and patient / staff perceptions of the tools’ usability
and impact on care quality and patient-provider interactions. Our setting is the nation’s largest group of
CHCs on a single EHR. The PIs’ work on an upcoming National Academies report directly informed the
social risk-informed CDS proposed here. This proposal addresses PAR-19-093’s calls for research on “using
HIT to reduce disparities by increasing ... higher quality care, & improving patient-clinician communication,
and health outcomes,” and on “models for the inclusion and utility of SDoH in EHR systems/CDS tools that
… improve health equity.” The tools developed here will be made available immediately for
implementation in any EHR system, enabling rapid dissemination and grea...

## Key facts

- **NIH application ID:** 10318926
- **Project number:** 5R01MD014886-03
- **Recipient organization:** KAISER FOUNDATION RESEARCH INSTITUTE
- **Principal Investigator:** RACHEL GOLD
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $607,585
- **Award type:** 5
- **Project period:** 2020-01-29 → 2024-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10318926

## Citation

> US National Institutes of Health, RePORTER application 10318926, COHERE – COntextualized care in cHcs’ Electronic health Records (5R01MD014886-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10318926. Licensed CC0.

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