Evidence map›Paper›PMID 32053118›Full record

ArticleJMIR mHealth and uHealth2020

From "Step Away" to "Stand Down": Tailoring a Smartphone App for Self-Management of Hazardous Drinking for Veterans.

Daniel Blonigen, Brooke Harris-Olenak, Eric Kuhn, Keith Humphreys, Christine Timko, Patrick Dulin

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Using peers to increase veterans' engagement in a smartphone application for unhealthy alcohol use: A pilot study of acceptability and utility.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Article
  10. Article
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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

6 authors.

Daniel BlonigenDepartment of Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0003-3420-6704
Brooke Harris-OlenakDepartment of Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0001-9166-052X
Eric KuhnDepartment of Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0003-1687-4987
Keith HumphreysDepartment of Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0003-0694-5761
Christine TimkoDepartment of Veterans Affairs Palo Alto Health Care System, Menlo Park, CA, United States.ORCID 0000-0002-6271-7141
Patrick DulinUniversity of Alaska-Anchorage, Anchorage, AK, United States.ORCID 0000-0003-2134-6513

Funding

HSRD VA I21 HX002343HSRD VA RCS 00-001
6 · The paper itself

Abstract

backgroundUS military veterans who screen positive for hazardous drinking during primary care visits may benefit from a mobile app. Step Away is an evidence-based mobile intervention system for the self-management of hazardous drinking. However, Step Away was not designed for veterans, and differences between veterans and civilians could limit the reach and effectiveness of the app with this population.

objectiveThe primary objective of this study was to repurpose Step Away to address the needs and preferences of the veteran primary care population. The Method for Program Adaptation through Community Engagement (M-PACE) model was used to guide the adaptation process. This model can serve as a generalizable approach that other researchers and intervention developers can follow to systematically tailor mobile health tools for a new population.

methodsVeteran patients who screened positive for hazardous drinking during a primary care visit (n=12) and peer providers employed by the US Veterans Health Administration (n=11) were recruited to systematically review Step Away and provide feedback on its content and presentation via Web-based surveys and a semistructured interview. Participant feedback was reviewed through an iterative process by key stakeholders who adjudicated which suggested modifications to the app could enhance engagement and effectiveness with veterans while maintaining program integrity.

resultsUsability ratings of the individual modules of Step Away were uniformly positive across patients and peers, as was the perceived utility of the app overall. Personalized feedback on the health consequences and costs of drinking, options for customization, and the measurement-based care capabilities of the app were viewed as facilitators of engagement. Conversely, lengthy text, small font, and a lack of interactive features were viewed as potential barriers with the older primary care population. Modifications to create a veteran version of the app (Stand Down: Think Before You Drink) included altering the appearance of the app to incorporate more veteran-centric content, adding links and options for resources and activities for veterans, and reducing the amount of text and adding veteran-specific references and common concerns and triggers for drinking in this population.

conclusionsThe M-PACE model provided a systematic approach to repurpose Step Away to fit the needs and preferences of veteran primary care patients who engage in hazardous drinking. Stand Down may serve as an innovative, low-cost means of expanding access to care for veterans who engage in hazardous drinking.

Indexed as

AlcoholismMobile ApplicationsSelf-ManagementVeteransFemaleHumansMaleSmartphonehazardous drinkingpeer supportStand DownStep Awayveterans

Identifiers

PMID32053118
PMCPMC7055774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.