Evidence map›Paper›PMID 32763878›Full record

ArticleJMIR research protocols2020

Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial.

Lauren Bell, Claire Garnett, Tianchen Qian, Olga Perski, Henry W W Potts, Elizabeth Williamson

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  9. Power Constrained Bandits.Proceedings of machine learning research · 2021
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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 at 4 institutions in 2 countries.

Lauren BellDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-5408-8525
Claire GarnettResearch Department of Behavioural Science and Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-6589-299X
Tianchen QianDepartment of Statistics, Harvard University, Cambridge, MA, United States.ORCID https://orcid.org/0000-0003-4282-7826
Olga PerskiResearch Department of Behavioural Science and Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-3285-3174
Henry W W PottsInstitute of Health Informatics, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-6200-8804
Elizabeth WilliamsonDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-6905-876X
London School of Hygiene & Tropical Medicine · GBUniversity College London · GBHarvard University · USHealth Data Research UK · GB

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs SupplementU01CA229437 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAHUM-SHANI, INBAL BILLIE, WETTER, DAVID W · 2018 to 2022
$2.8M
Data-Based Methods for Just-In-Time Adaptive Interventions in Alcohol UseR01AA023187 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2015 to 2019
$2.6M
Medical Research Council MR/L004933/2NCI NIH HHS U01 CA229437NIAAA NIH HHS R01 AA023187NIBIB NIH HHS U54 EB020404NIDA NIH HHS P50 DA039838Wellcome Trust
6 · The paper itself

Abstract

backgroundDrink Less is a behavior change app that aims to help users in the general adult population reduce hazardous and harmful alcohol consumption. The app includes a daily push notification, delivered at 11 am, asking users to "Please complete your mood and drinking diaries." Previous analysis of Drink Less engagement data suggests the current notification strongly influences how users engage with the app in the subsequent hour. To exploit a potential increase of vulnerability of excess drinking and opportunity to engage with the app in the evenings, we changed the delivery time from 11 am to 8 pm. We now aim to further optimise the content and sequence of notifications, testing 30 new evidence-informed notifications targeting the user's perceived usefulness of the app.

objectiveThe primary objective is to assess whether sending a notification at 8 pm increases behavioral engagement (opening the app) in the subsequent hour. Secondary objectives include comparing the effect of the new bank of messages with the standard message and effect moderation over time. We also aim to more generally understand the role notifications have on the overall duration, depth, and frequency of engagement with Drink Less over the first 30 days after download.

methodsThis is a protocol for a micro-randomized trial with two additional parallel arms. Inclusion criteria are Drink Less users who (1) consent to participate in the trial; (2) self-report a baseline Alcohol Use Disorders Identification Test score of 8 or above; (3) reside in the United Kingdom; (4) age ≥18 years and; (5) report interest in drinking less alcohol. In the micro-randomized trial, participants will be randomized daily at 8 pm to receive no notification, a notification with text from the new message bank, or the standard message. The primary outcome is the time-varying, binary outcome of "Did the user open the app in the hour from 8 pm to 9 pm?". The primary analysis will estimate the marginal relative risk for the notifications using an estimator developed for micro-randomized trials with binary outcomes. Participants randomized to the parallel arms will receive no notifications (Secondary Arm A), or the standard notification delivered daily at 11 am (Secondary Arm B) over 30 days, allowing the comparison of overall engagement between different notification delivery strategies.

resultsApproval was granted by the University College of London's Departmental Research Ethics Committee (CEHP/2016/556) on October 11, 2019, and The London School of Hygiene and Tropical Medicine Interventions Research Ethics Committee (17929) on November 27, 2019. Recruitment began on January 2, 2020, and is ongoing.

conclusionsUnderstanding how push notifications may impact engagement with a behavior change app can lead to further improvements in engagement, and ultimately help users reduce their alcohol consumption. This understanding may also be generalizable to other apps that target a variety of behavior changes. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18690.

Indexed as

alcoholdigital behavior changeengagementexcessive alcohol consumptionmHealthmicro-randomized trialmobile healthpush notificationssmartphone app

Identifiers

PMID32763878
PMCPMC7442945
OpenAlexW3031126862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.