# Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptoms

> **NIH NIH R21** · UNIVERSITY OF WASHINGTON · 2020 · $233,349

## Abstract

Project Summary. Primary care (PC) is well-positioned to detect and address unhealthy drinking and alcohol
use disorder (AUD), yet most PC settings have notable gaps in providing alcohol-related care. One way to
improve alcohol-related care is to use standardized measurements to screen for unhealthy alcohol use and to
assess AUD symptoms, which informs clinical care by detecting unhealthy drinking, assessing AUD severity,
informing decisions about AUD treatment intensity, and monitoring clinical outcomes over time. Researchers
and national agencies are increasingly calling for the use of standardized measures of unhealthy drinking and
AUD symptoms in routine PC settings; however, surprisingly little is known about how such measures perform
or what they indicate about health risks when they are used in the context of routine PC—i.e., administered in
routine appointments and documented in electronic health records (EHRs). We propose to leverage a large
and novel EHR dataset from Kaiser Permanente Washington, a large integrated regional health system. The
dataset will include: the AUDIT-C alcohol screening measure, completed as part of an annual screen by
>250,000 patients (89% of adults who attend PC appointments); a novel patient-reported AUD symptom
checklist that is based on the 11 DSM-5 AUD criteria (“DSM-5 checklist”), completed by over 4,000 patients
(>70% of those with AUDIT-C scores ≥ 7); and diverse health outcome measures available from EHR,
administrative, and claims data. The 2-year developmental R21 phase includes psychometric analyses that
evaluate the DSM-5 checklist as a scaled measure of AUD severity and the consistency of its performance
across demographically diverse subgroups; to our awareness, this is the first study to evaluate any
standardized patient-reported AUD symptom measure integrated into routine PC. Cross-sectional analyses will
examine associations between the AUDIT-C, DSM-5 checklist, and important health outcome measures known
to be associated with drinking, including systolic blood pressure, patient-reported depression symptoms,
hospitalizations for alcohol-attributable conditions, all-cause hospitalizations, and all-cause mortality. The R21
will also achieve milestones demonstrating readiness for the R33 phase. During the 3-year R33 phase,
longitudinal analyses will test whether the AUDIT-C and DSM-5 checklist are associated with subsequent
health outcomes and whether within-person changes in AUDIT-C scores over time are associated with
changes in health outcomes. To our awareness, this work will be the first to evaluate a patient-reported AUD
symptom checklist in any routine PC setting and the first to evaluate the AUDIT-C in any non-veteran routine
PC setting. This research will improve clinical care by helping providers and patients understand the
information provided by these scaled patient-reported measures and their associations with important adverse
health outcomes. The work will also provide a foundation...

## Key facts

- **NIH application ID:** 10020892
- **Project number:** 5R21AA028073-02
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Kevin A. Hallgren
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $233,349
- **Award type:** 5
- **Project period:** 2019-09-20 → 2021-09-09

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10020892

## Citation

> US National Institutes of Health, RePORTER application 10020892, Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptoms (5R21AA028073-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10020892. Licensed CC0.

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