Cargando…

Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review

BACKGROUND: Accurate and user-friendly assessment tools for quantifying alcohol consumption are a prerequisite for effective interventions to reduce alcohol-related harm. Digital assessment tools (DATs) that allow the description of consumed alcoholic drinks through animation features may facilitate...

Descripción completa

Detalles Bibliográficos
Autores principales: Wiemker, Veronika, Neufeld, Maria, Bunova, Anna, Danquah, Ina, Ferreira-Borges, Carina, Konigorski, Stefan, Rastogi, Ankit, Probst, Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987963/
https://www.ncbi.nlm.nih.gov/pubmed/35319472
http://dx.doi.org/10.2196/28927
_version_ 1784682858862870528
author Wiemker, Veronika
Neufeld, Maria
Bunova, Anna
Danquah, Ina
Ferreira-Borges, Carina
Konigorski, Stefan
Rastogi, Ankit
Probst, Charlotte
author_facet Wiemker, Veronika
Neufeld, Maria
Bunova, Anna
Danquah, Ina
Ferreira-Borges, Carina
Konigorski, Stefan
Rastogi, Ankit
Probst, Charlotte
author_sort Wiemker, Veronika
collection PubMed
description BACKGROUND: Accurate and user-friendly assessment tools for quantifying alcohol consumption are a prerequisite for effective interventions to reduce alcohol-related harm. Digital assessment tools (DATs) that allow the description of consumed alcoholic drinks through animation features may facilitate more accurate reporting than conventional approaches. OBJECTIVE: This review aims to identify and characterize freely available DATs in English or Russian that use animation features to support the quantitative assessment of alcohol consumption (alcohol DATs) and determine the extent to which such tools have been scientifically evaluated in terms of feasibility, acceptability, and validity. METHODS: Systematic English and Russian searches were conducted in iOS and Android app stores and via the Google search engine. Information on the background and content of eligible DATs was obtained from app store descriptions, websites, and test completions. A systematic literature review was conducted in Embase, MEDLINE, PsycINFO, and Web of Science to identify English-language studies reporting the feasibility, acceptability, and validity of animation-using alcohol DATs. Where possible, the evaluated DATs were accessed and assessed. Owing to the high heterogeneity of study designs, results were synthesized narratively. RESULTS: We identified 22 eligible alcohol DATs in English, 3 (14%) of which were also available in Russian. More than 95% (21/22) of tools allowed the choice of a beverage type from a visually displayed selection. In addition, 36% (8/22) of tools enabled the choice of a drinking vessel. Only 9% (2/22) of tools allowed the simulated interactive pouring of a drink. For none of the tools published evaluation studies were identified in the literature review. The systematic literature review identified 5 exploratory studies evaluating the feasibility, acceptability, and validity of 4 animation-using alcohol DATs, 1 (25%) of which was available in the searched app stores. The evaluated tools reached moderate to high scores on user rating scales and showed fair to high convergent validity when compared with established assessment methods. CONCLUSIONS: Animation-using alcohol DATs are available in app stores and on the web. However, they often use nondynamic features and lack scientific background information. Explorative study data suggest that such tools might enable the user-friendly and valid assessment of alcohol consumption and could thus serve as a building block in the reduction of alcohol-attributable health burden worldwide. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42020172825; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020172825
format Online
Article
Text
id pubmed-8987963
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-89879632022-04-08 Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review Wiemker, Veronika Neufeld, Maria Bunova, Anna Danquah, Ina Ferreira-Borges, Carina Konigorski, Stefan Rastogi, Ankit Probst, Charlotte J Med Internet Res Review BACKGROUND: Accurate and user-friendly assessment tools for quantifying alcohol consumption are a prerequisite for effective interventions to reduce alcohol-related harm. Digital assessment tools (DATs) that allow the description of consumed alcoholic drinks through animation features may facilitate more accurate reporting than conventional approaches. OBJECTIVE: This review aims to identify and characterize freely available DATs in English or Russian that use animation features to support the quantitative assessment of alcohol consumption (alcohol DATs) and determine the extent to which such tools have been scientifically evaluated in terms of feasibility, acceptability, and validity. METHODS: Systematic English and Russian searches were conducted in iOS and Android app stores and via the Google search engine. Information on the background and content of eligible DATs was obtained from app store descriptions, websites, and test completions. A systematic literature review was conducted in Embase, MEDLINE, PsycINFO, and Web of Science to identify English-language studies reporting the feasibility, acceptability, and validity of animation-using alcohol DATs. Where possible, the evaluated DATs were accessed and assessed. Owing to the high heterogeneity of study designs, results were synthesized narratively. RESULTS: We identified 22 eligible alcohol DATs in English, 3 (14%) of which were also available in Russian. More than 95% (21/22) of tools allowed the choice of a beverage type from a visually displayed selection. In addition, 36% (8/22) of tools enabled the choice of a drinking vessel. Only 9% (2/22) of tools allowed the simulated interactive pouring of a drink. For none of the tools published evaluation studies were identified in the literature review. The systematic literature review identified 5 exploratory studies evaluating the feasibility, acceptability, and validity of 4 animation-using alcohol DATs, 1 (25%) of which was available in the searched app stores. The evaluated tools reached moderate to high scores on user rating scales and showed fair to high convergent validity when compared with established assessment methods. CONCLUSIONS: Animation-using alcohol DATs are available in app stores and on the web. However, they often use nondynamic features and lack scientific background information. Explorative study data suggest that such tools might enable the user-friendly and valid assessment of alcohol consumption and could thus serve as a building block in the reduction of alcohol-attributable health burden worldwide. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42020172825; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020172825 JMIR Publications 2022-03-23 /pmc/articles/PMC8987963/ /pubmed/35319472 http://dx.doi.org/10.2196/28927 Text en ©Veronika Wiemker, Maria Neufeld, Anna Bunova, Ina Danquah, Carina Ferreira-Borges, Stefan Konigorski, Ankit Rastogi, Charlotte Probst. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Wiemker, Veronika
Neufeld, Maria
Bunova, Anna
Danquah, Ina
Ferreira-Borges, Carina
Konigorski, Stefan
Rastogi, Ankit
Probst, Charlotte
Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
title Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
title_full Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
title_fullStr Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
title_full_unstemmed Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
title_short Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: Systematic App Store and Literature Review
title_sort digital assessment tools using animation features to quantify alcohol consumption: systematic app store and literature review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987963/
https://www.ncbi.nlm.nih.gov/pubmed/35319472
http://dx.doi.org/10.2196/28927
work_keys_str_mv AT wiemkerveronika digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT neufeldmaria digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT bunovaanna digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT danquahina digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT ferreiraborgescarina digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT konigorskistefan digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT rastogiankit digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview
AT probstcharlotte digitalassessmenttoolsusinganimationfeaturestoquantifyalcoholconsumptionsystematicappstoreandliteraturereview