Evidence map›Paper›PMID 31229703›Full record

ArticleDrug and alcohol dependence2019

Utility of routine alcohol screening for monitoring changes in alcohol consumption.

Anna D Rubinsky, Laura J Chavez, Douglas Berger, Gwen T Lapham, Eric J Hawkins, Emily C Williams, Katharine A Bradley

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Anna D RubinskyHealth Services Research and Development (HSR and D) Center of Innovation for Veteran-Centered and Value-Driven Care, Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Kidney Health Research Collaborative, University of California, San Francisco, and Department of Veterans Affairs San Francisco Health Care System, 4150 Clement Street (111A1), San Francisco, CA, 94121, USA. Electronic address: Anna.Rubinsky@va.gov.
Laura J ChavezDivision of Health Services Management and Policy, The Ohio State University, College of Public Health, 1841 Neil Ave, Columbus, OH, 43210, USA. Electronic address: chavez.105@osu.edu.
Douglas BergerGeneral Medicine Service, Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Department of Medicine, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA. Electronic address: Douglas.Berger@va.gov.
Gwen T LaphamHealth Services Research and Development (HSR and D) Center of Innovation for Veteran-Centered and Value-Driven Care, Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue Ste. 1600, Seattle, WA, 98101, USA. Electronic address: Gwen.T.Lapham@kp.org.
Eric J HawkinsHealth Services Research and Development (HSR and D) Center of Innovation for Veteran-Centered and Value-Driven Care, Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Center of Excellence in Substance Addiction Treatment and Education (CESATE), Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA. Electronic address: Eric.Hawkins@va.gov.
Emily C WilliamsHealth Services Research and Development (HSR and D) Center of Innovation for Veteran-Centered and Value-Driven Care, Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Department of Health Services, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA. Electronic address: Emily.Williams3@va.gov.
Katharine A BradleyHealth Services Research and Development (HSR and D) Center of Innovation for Veteran-Centered and Value-Driven Care, Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Center of Excellence in Substance Addiction Treatment and Education (CESATE), Department of Veterans Affairs Puget Sound Health Care System, 1660 South Columbian Way (S-152), Seattle, WA, 98108, USA; Kaiser Permanente Washington Health Research Institute, 1730 Minor Avenue Ste. 1600, Seattle, WA, 98101, USA; Department of Health Services, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA; Department of Medicine, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA. Electronic address: Katharine.A.Bradley@kp.org.

Funding

Training Clinicians in Implementation Research to Improve Alcohol-related CareK24AA022128 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BRADLEY, KATHARINE ANTHONY · 2016 to 2020
$876k
NIAAA NIH HHS K24 AA022128
6 · The paper itself

Abstract

backgroundRoutine alcohol screening scores are increasingly available in electronic health records (EHRs). Changes in such scores could be useful for monitoring response to brief intervention or treatment of alcohol use disorder. However, it is unclear whether changes in clinically-documented AUDIT-C alcohol screening scores reflect true changes in drinking. This study evaluated associations between changes in EHR AUDIT-C scores and changes in high density lipoprotein cholesterol (HDL), a laboratory test that reflects average alcohol consumption.

methodsNational U.S. Veterans Affairs EHR data (2004-2007) were used to identify patients screened with the AUDIT-C (0-12 points), on two occasions at least a year apart, who had HDL measured in the year after each screen. First differencing linear regression estimated associations between changes in AUDIT-C score (-12 to 12 points; modeled categorically to allow for non-linear associations) and subsequent changes in HDL (mg/dL), adjusting for baseline HDL. Additional analyses evaluated whether associations between changes in AUDIT-C and changes in HDL were modified by baseline AUDIT-C.

resultsAmong 316,712 patients, increases-but not decreases-in AUDIT-C scores were associated with commensurate changes in HDL. However, a significant interaction was observed with baseline AUDIT-C score (p < 0.00001), which revealed that decreases in AUDIT-C scores were also associated with commensurate decreases in HDL (p-values<0.05) except among the 1.5% of patients with the highest baseline AUDIT-C scores (10-12).

conclusionsFindings suggest that changes in EHR AUDIT-C scores reflect changes in drinking. These results support the use of clinically-documented alcohol screening scores for monitoring patients' alcohol use over time.

Indexed as

AdultAgedAlcohol DrinkingAlcoholismCholesterol, HDLCohort StudiesFemaleHumansLongitudinal StudiesMaleMass ScreeningMiddle AgedUnited StatesYoung AdultCholesterol, HDLAlcohol drinkingAUDIT-CMonitoringScreening

Identifiers

PMID31229703
PMCPMC7001877

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.