Evidence map›Paper›PMID 37966869›Full record

ArticleJMIR formative research2023

Testing a Digital Health App for Patients With Alcohol-Associated Liver Disease: Mixed Methods Usability Study.

Linda S Park, Rachel Kornfield, Mihret Yezihalem, Andrew Quanbeck, Jessica Mellinger, Margarita German

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Review
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.

Linda S Park *Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0001-8008-343X
Rachel Kornfield *Preventive Medicine (Behavioral Medicine), Feinberg School of Medicine, Northwestern University, Evanston, IL, United States.ORCID https://orcid.org/0000-0001-8542-6913
Mihret Yezihalem *University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0009-0003-4317-318X
Andrew Quanbeck *Department of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0003-0762-4804
Jessica Mellinger *Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-7364-5035
Margarita German *Department of Medicine, Division of Gastroenterology and Hepatology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0003-3337-6760

Funding

Adaptive Messaging to Support Depression Self-ManagementK01MH125172 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KORNFIELD, RACHEL · 2021 to 2025
$865k
NIMH NIH HHS K01 MH125172
6 · The paper itself

Abstract

backgroundAlcohol-associated liver disease (ALD) is increasingly common and associated with serious and costly health consequences. Cessation of drinking can improve ALD morbidity and mortality; however, support for cessation is not routinely offered to those diagnosed with ALD, and continued drinking or resumption of drinking after diagnosis is common. Mobile health (mHealth) has the potential to offer convenient and scalable support for alcohol cessation to those diagnosed with ALD, but mHealth interventions for alcohol cessation have not been designed for or evaluated in a population with ALD.

objectiveThis study aims to understand how individuals with ALD would perceive and use an mHealth tool for alcohol cessation and to gather their perspectives on potential refinements to the tool that would allow it to better meet their needs.

methodsWe interviewed 11 individuals who attended clinic visits related to their ALD to elicit their needs related to support for alcohol cessation and views on how mHealth could be applied. After completing initial interviews (pre), participants were provided with access to an mHealth app designed for alcohol cessation, which they used for 1 month. Afterward, they were interviewed again (post) to give feedback on their experiences, including aspects of the app that met their needs and potential refinements. We applied a mixed methods approach, including a qualitative analysis to identify major themes from the interview transcripts and descriptive analyses of use of the app over 1 month.

resultsFirst, we found that a diagnosis of ALD is perceived as a motivator to quit drinking but that patients had difficulty processing the overwhelming amount of information about ALD they received and finding resources for cessation of alcohol use. Second, we found that the app was perceived as usable and useful for supporting drinking recovery, with patients responding favorably to the self-tracking and motivational components of the app. Finally, patients identified areas in which the app could be adapted to meet the needs of patients with ALD, such as providing information on the medical implications of an ALD diagnosis and how to care for their liver as well as connecting individuals with ALD to one another via a peer-to-peer support forum. Rates of app use were high and sustained across the entire study, with participants using the app a little more than half the days during the study on average and with 100% (11/11) of participants logging in each week.

conclusionsOur results highlight the need for convenient access to resources for alcohol cessation after ALD diagnosis and support the potential of an mHealth approach to integrate recovery support into care for ALD. Our findings also highlight the ways the alcohol cessation app should be modified to address ALD-specific concerns.

Indexed as

alcohol-associated liver diseasealcohol cessationalcohol use disorderALDAUDdigital toolsmHealthmobile healthmobile phoneusability test

Identifiers

PMID37966869
PMCPMC10687677

What Socratic holds

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LicenceCC BY
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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 Socratic graph.