Evidence map›Paper›PMID 42734573›Full record

ArticleInternational journal of addiction nursing

Functional Analysis and Quality Assessment of Mobile Applications for Managing Alcohol Use Disorder.

Yangmi Lee, Ji-Min Seo

Abstract read
In one paragraph

Article in International journal of addiction nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

2 authors.

Yangmi LeeYangmi Lee, RN, Hansarang Hospital, Gimhae, South Korea.
Ji-Min SeoJi-Min Seo, RN, PhD, College of Nursing, Pusan National University, Yangsan, South Korea.

Funding

National Research Foundation of Korea (NRF) NRF-2023R1A2C10057591262182065300102
6 · The paper itself

Abstract

aimsThis study investigated the current mobile applications (apps) for the management of alcohol use disorder (AUD) and analyzed their functionality and quality. DESIGN/

methodsA comprehensive search of the Apple App Store and Google Play Store was conducted between August 1 and October 31, 2023, based on predefined inclusion and exclusion criteria, to identify apps specifically designed for patients with AUD. Two independent raters evaluated the apps using the Mobile App Rating Scale and the Institute for Healthcare Informatics functionality score.

resultsThis search resulted in the selection of 33 apps for assessment. The Mobile App Rating Scale quality assessment indicated that more than half of the selected apps were suitable for use, and the Institute for Healthcare Informatics functionality assessment determined that the apps had a 4.5 average for 11 possible functions. Additionally, a detailed analysis of the top three apps with the highest scores for both quality and functionality was conducted. This study highlighted the key features that apps for AUD management should incorporate and identified possible areas for improvement.

conclusionsBased on these results, we recommend that apps record and store data on the number of days to abstinence and the amount of alcohol consumed and display this information using graphs. In addition, we recommend that apps allow users to customize the timing and number of reminders and alarms and connect to a support system or professional immediately in high-risk situations.

Indexed as

AlcoholismMobile ApplicationsHumansAlcohol Use DisorderMobile ApplicationsNursesQualityRepublic of Korea

Identifiers

PMID42734573
PMCPMC13574360

What OpenQuestion holds

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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.