Evidence map›Paper›PMID 32182353›Full record

Trial reportAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2020

Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial.

Jan-Niklas Kramer, Florian Künzler, Varun Mishra, Shawna N Smith, David Kotz, Urte Scholz, Elgar Fleisch, Tobias Kowatsch

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03384550 (Investigating Different Intervention Components of a Smartphone App to Promote Physical Activity), which is not on this map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 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.

NCT03384550 nacompletednot on this map

Investigating Different Intervention Components of a Smartphone App to Promote Physical Activity: The ALLY Micro-Randomized Trial

TypeinterventionalSponsorUniversity of St.GallenRan2017 to 2018Enrolled274ConditionsPhysical ActivityArmsSelf-regulation coaching, Planning, Financial Incentives, Charity Incentives
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

8 authors.

Jan-Niklas KramerInstitute of Technology Management (ITEM), University of St. Gallen, St. Gallen, Switzerland.
Florian KünzlerDepartment of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.
Varun MishraDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.
Shawna N SmithInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.
David KotzDepartment of Computer Science, Dartmouth College, Hanover, NH, USA.
Urte ScholzDepartment of Psychology, University of Zurich, Zurich, Switzerland.
Elgar FleischInstitute of Technology Management (ITEM), University of St. Gallen, St. Gallen, Switzerland.
Tobias KowatschInstitute of Technology Management (ITEM), University of St. Gallen, St. Gallen, Switzerland.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
NIDA NIH HHS P30 DA029926
6 · The paper itself

Abstract

backgroundThe Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. PURPOSE: To evaluate the effects of incentives, weekly planning, and daily self-monitoring prompts that were used as intervention components as part of the Ally app.

methodsWe conducted an 8 week optimization trial with n = 274 insurees of a health insurance company in Switzerland. At baseline, participants were randomized to different incentive conditions (cash incentives vs. charity incentives vs. no incentives). Over the course of the study, participants were randomized weekly to different planning conditions (action planning vs. coping planning vs. no planning) and daily to receiving or not receiving a self-monitoring prompt. Primary outcome was the achievement of personalized daily step goals.

resultsStudy participants were more active and healthier than the general Swiss population. Daily cash incentives increased step-goal achievement by 8.1%, 95% confidence interval (CI): [2.1, 14.1] and, only in the no-incentive control group, action planning increased step-goal achievement by 5.8%, 95% CI: [1.2, 10.4]. Charity incentives, self-monitoring prompts, and coping planning did not affect physical activity. Engagement with planning interventions and self-monitoring prompts was low and 30% of participants stopped using the app over the course of the study.

conclusionsDaily cash incentives increased physical activity in the short term. Planning interventions and self-monitoring prompts require revision before they can be included in future versions of the app. Selection effects and engagement can be important challenges for physical-activity apps. CLINICAL TRIAL INFORMATION: This study was registered on ClinicalTrials.gov, NCT03384550.

Indexed as

ExerciseGoalsMobile ApplicationsMotivationWalkingAdultFemaleHumansMaleMiddle AgedPatient ParticipationRandom AllocationReminder SystemsSmartphoneSoftware DesignSwitzerlandEngagementIntervention componentsMicrorandomized trialsMobile healthWalking

Identifiers

PMID32182353
PMCPMC7291330

What OpenQuestion holds

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Registered trials

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.