Evidence map›Paper›PMID 39038284›Full record

ArticleJournal of medical Internet research2024

Equivalence of Alcohol Use Disorder Symptom Assessments in Routine Clinical Care When Completed Remotely via Online Patient Portals Versus In Clinic via Paper Questionnaires: Psychometric Evaluation.

Theresa E Matson, Amy K Lee, Malia Oliver, Katharine A Bradley, Kevin A Hallgren

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Theresa E MatsonKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-4551-7981
Amy K LeeMental Health and Wellness Department, Kaiser Permanente Washington, Seattle, WA, United States.ORCID 0000-0002-5713-5374
Malia OliverKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-8237-8028
Katharine A BradleyKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0003-1933-4425
Kevin A HallgrenKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0001-8386-3984

Funding

Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptomsR33AA028073 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2021 to 2023
$1.3M
Understanding practical alcohol measures in primary care to prepare for measurement-based care: Scaled EHR measures of alcohol use and DSM-5 AUD symptomsR21AA028073 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2019 to 2020
$439k
NIAAA NIH HHS R21 AA028073NIAAA NIH HHS R33 AA028073
6 · The paper itself

Abstract

backgroundThe National Institute on Alcohol Abuse and Alcoholism (NIAAA) recommends the paper-based or computerized Alcohol Symptom Checklist to assess alcohol use disorder (AUD) symptoms in routine care when patients report high-risk drinking. However, it is unknown whether Alcohol Symptom Checklist response characteristics differ when it is administered online (eg, remotely via an online electronic health record [EHR] patient portal before an appointment) versus in clinic (eg, on paper after appointment check-in).

objectiveThis study evaluated the psychometric performance of the Alcohol Symptom Checklist when completed online versus in clinic during routine clinical care.

methodsThis cross-sectional, psychometric study obtained EHR data from the Alcohol Symptom Checklist completed by adult patients from an integrated health system in Washington state. The sample included patients who had a primary care visit in 2021 at 1 of 32 primary care practices, were due for annual behavioral health screening, and reported high-risk drinking on the behavioral health screen (Alcohol Use Disorder Identification Test-Consumption score ≥7). After screening, patients with high-risk drinking were typically asked to complete the Alcohol Symptom Checklist-an 11-item questionnaire on which patients self-report whether they had experienced each of the 11 AUD criteria listed in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) over a past-year timeframe. Patients could complete the Alcohol Symptom Checklist online (eg, on a computer, smartphone, or tablet from any location) or in clinic (eg, on paper as part of the rooming process at clinical appointments). We examined sample and measurement characteristics and conducted differential item functioning analyses using item response theory to examine measurement consistency across these 2 assessment modalities.

resultsAmong 3243 patients meeting eligibility criteria for this secondary analysis (2313/3243, 71% male; 2271/3243, 70% White; and 2014/3243, 62% non-Hispanic), 1640 (51%) completed the Alcohol Symptom Checklist online while 1603 (49%) completed it in clinic. Approximately 46% (752/1640) and 48% (764/1603) reported ≥2 AUD criteria (the threshold for AUD diagnosis) online and in clinic (P=.37), respectively. A small degree of differential item functioning was observed for 4 of 11 items. This differential item functioning produced only minimal impact on total scores used clinically to assess AUD severity, affecting total criteria count by a maximum of 0.13 criteria (on a scale ranging from 0 to 11).

conclusionsCompleting the Alcohol Symptom Checklist online, typically prior to patient check-in, performed similarly to an in-clinic modality typically administered on paper by a medical assistant at the time of the appointment. Findings have implications for using online AUD symptom assessments to streamline workflows, reduce staff burden, reduce stigma, and potentially assess patients who do not receive in-person care. Whether modality of DSM-5 assessment of AUD differentially impacts treatment is unknown.

Indexed as

AlcoholismPsychometricsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient PortalsSurveys and QuestionnairesSymptom AssessmentWashingtonYoung Adultalcoholalcoholismalcohol usealcohol use disorderassessmentcross-sectionaldifferential item functioningelectronic health recordin-clinicitem response theorypatient portalpatient portalspsychometric evaluationsymptom checklistUnited States

Identifiers

PMID39038284
PMCPMC11301125

What OpenQuestion holds

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Registered trials

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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.