Evidence map›Paper›PMID 33970089›Full record

ArticleThe Permanente journal2021

Unhealthy Drinking Behavior and the ATTAIN Solution: Web-based Automated Alcohol Misuse Interventions.

Jennifer Chevinsky, Emma Fredua, Ebonie M Vazquez, Mohamed H Ismail

Open access · greenAbstract read
In one paragraph

Article in The Permanente journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Jennifer Chevinsky
Emma Fredua
Ebonie M Vazquez
Mohamed H Ismail
Loma Linda University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUp to 30% of American adults may have unhealthy drinking behavior, but only 17% get screened. There is promise in improving screening via technology, but there is a lack of published evidence supporting these efforts. We describe the development of Automated Alcohol Misuse Interventions (ATTAIN), an automated, web-based process to screen for and manage adults with unhealthy drinking behavior with minimal involvement of health-care personnel.

methodAfter creating a strategic business plan, ATTAIN was developed for the Southern California Permanente Medical Group using its integrated model of care, electronic medical records, and patient portal. ATTAIN is based on an automated branching questionnaire that screens for unhealthy drinking behavior and, when applicable, alcohol use disorders, and incorporates questions about readiness to change and interest in medications/counseling to assist with alcohol consumption reduction. Health plan members would be invited via email to fill out the screening questionnaire using the patient portal. Based on their responses, they would receive appropriate automated feedback and a link to a counseling video about the spectrum of alcohol use. Patients' responses would be captured in their medical record and sent to a designated provider for further help as needed. The process would be refined through successive quality improvement pilots. We project that ATTAIN will lead to reduced costs for the Southern California Permanente Medical Group .

conclusionThis effort has paved the way for using ATTAIN to improve patient care and to reduce the costs associated with managing unhealthy drinking, and potentially leads to similar processes for other medical conditions and health-related behaviors.

Indexed as

AlcoholismAdultAlcohol DrinkingCounselingHealth BehaviorHumansInternet

Identifiers

PMID33970089
PMCPMC8784029
OpenAlexW3161699718

What OpenQuestion holds

Textmetadata
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.