Evidence map›Paper›PMID 29415854›Full record

ArticleJournal of substance abuse treatment2018

Use of web-based screening and brief intervention for unhealthy alcohol use by older adults.

Benjamin H Han, Kristin Masukawa, David Rosenbloom, Alexis Kuerbis, Eric Helmuth, Diana H Liao, Alison A Moore

Abstract read
In one paragraph

Article in Journal of substance abuse treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Binge Drinking Among Older Adults in the United States, 2015 to 2017.Journal of the American Geriatrics Society · 2019
    Article
  6. Article
  7. Article
  8. Article
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 at 4 institutions in 1 country.

Benjamin H HanDivision of Geriatric Medicine and Palliative Care, New York University School of Medicine, United States. Electronic address: Benjamin.Han@nyumc.org.
Kristin MasukawaDivision of Geriatrics, David Geffen School of Medicine, University of California, Los Angeles, United States.
David RosenbloomBoston University School of Public Health, United States.
Alexis KuerbisCUNY Hunter Silberman School of Social Work, United States.
Eric HelmuthBoston University School of Public Health, United States.
Diana H LiaoDivision of Geriatrics, David Geffen School of Medicine, University of California, Los Angeles, United States.
Alison A MooreDivision of Geriatrics, University of California, San Diego School of Medicine, United States.
Boston University · USUniversity of California, Los Angeles · USNew York University · USUniversity of California, San Diego · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Institutional Career DevelopmentKL2TR001446 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PILLINGER, MICHAEL · 2015 to 2025
$6.7M
Health Effects of Alcohol and Comorbidity in Older AdultsK24AA015957 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MOORE, ALISON AHERN · 2007 to 2017
$1.8M
NCATS NIH HHS KL2 TR001446NCATS NIH HHS UL1 TR001445NIAAA NIH HHS K24 AA015957NIDA NIH HHS L30 DA040581
6 · The paper itself

Abstract

backgroundWhile the number of older adults who engage in unhealthy drinking is increasing, few studies have examined the role of online alcohol screening and intervention tools for this population. The objective of this study was to describe characteristics of drinking behaviors among older adults who visited an alcohol screening and intervention website, and compare them to younger adults.

methodsWe analyzed the responses of visitors to Alcoholscreening.org in 2013 (n=94,221). The prevalence of unhealthy alcohol use, behavioral change characteristics, and barriers to changing drinking were reported by age group (ages 21-49, 50-65, 66-80). Logistic regression models were used to identify characteristics associated with receiving a plan to either help cut back or quit drinking.

resultsOf the entire study sample, 83% of respondents reported unhealthy drinking (exceeding daily or weekly recommended limits) with 84% among 21-49year olds, 79% among 50-65year olds, and 85% among adults over 65. Older adults reported fewer negative aspects of drinking, lower importance to change, highest confidence and fewer barriers to change, compared to younger adults. In the adjusted model, females (AOR=1.45, p<0.001) and older adults (AOR=1.55, p<0.002) were more likely to receive a plan to change drinking behaviors. DISCUSSION: An online screening and intervention tool identified many older adults with unhealthy alcohol use behaviors and most were receptive to change. Web-based screening and interventions for alcohol use have the potential to be widely used among older adults.

Indexed as

Health EducationSurveys and QuestionnairesAdolescentAdultAgedAged, 80 and overAge FactorsAlcohol-Related DisordersFemaleHumansInternetLogistic ModelsMaleMiddle AgedPrevalenceUnited StatesAlcohol useInternetOlder adultsScreening

Identifiers

PMID29415854
PMCPMC5808575
OpenAlexW2781728248

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.