# Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English  Proficiency and complex care needs

> **NIH AHRQ R21** · MAYO CLINIC ROCHESTER · 2022 · $150,001

## Abstract

PROJECT SUMMARY/ABSTRACT
As the growing population of 25 million people with Limited English Proficiency (having a limited ability to read,
speak, write, or understand English) ages, the number with complex care needs is projected to rise. Patients
with Limited English Proficiency (LEP) and complex care needs (such as those encountered during critical
illness, life-limiting chronic illness, and at end-of-life) suffer worse outcomes and receive poorer quality care
than patients who are English-proficient. This disparity is due to suboptimal communication. Regrettably,
despite evidence that interpreters improve communication, as well as satisfaction with care and clinical
outcomes, interpreters are under-utilized in practice. Mechanisms to increase interpreter use are lacking, but
research suggests that systems that facilitate interpreter use are likely to garner clinician support and achieve
success more readily than other approaches. The objective of this proposal is to address this critical need
through the following specific aims: 1a)To engage stakeholders in testing and validating a health information-
based screening tool or “sniffer” to reliably identify patients with LEP and complex care needs; 1b) To engage
stakeholders in designing an effective process for proactively reaching patients with unmet interpreter needs
early in their hospitalization; 2) To examine the preliminary effectiveness of the developed intervention on
interpreter use and time to interpreter use among patients with LEP and complex care needs using a stepped-
wedge cluster randomized trial. Aim 1a leverages our investigator group’s previous work developing an
artificial intelligence-based algorithm to identify patients who would benefit from a palliative care consult, to
build a similar predictive model to identify patients with LEP and complex care needs. Aim 1b engages different
stakeholders to co-design and develop an effective process to link interpreter services to the identified patients
in a timely manner. Aim 2 will use a pragmatic clinical trial design to evaluate whether the combined predictive
model and process (intervention) for identifying and connecting patients with LEP and complex care needs
brings interpreters to the bedside more quickly and frequently than current standard practice. The long-term
objectives of the primary investigator are to promote equitable care for patients with LEP and complex care
needs by developing strategies that address diverse linguistic, social, and cultural factors effectively. The
investigator team and research environment is suited to achieve the aims of the proposal, combining content
expertise about disparities in communication, decision making, care among patients with LEP and modelling
and informatics research methodology experience at a high-volume academic center treating patients with LEP
and complex care needs. The research will provide essential foundational data for a future R01 application in
which subsequent st...

## Key facts

- **NIH application ID:** 10435596
- **Project number:** 1R21HS028475-01A1
- **Recipient organization:** MAYO CLINIC ROCHESTER
- **Principal Investigator:** Amelia K Barwise
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** AHRQ
- **Fiscal year:** 2022
- **Award amount:** $150,001
- **Award type:** 1
- **Project period:** 2022-05-01 → 2024-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10435596

## Citation

> US National Institutes of Health, RePORTER application 10435596, Harnessing Health Information Technology to Promote Equitable Care for Patients with Limited English  Proficiency and complex care needs (1R21HS028475-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10435596. Licensed CC0.

---

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