Evidence map›Paper›PMID 42580690›Full record

Trial reportJMIR mHealth and uHealth2026

Characteristics of Tailored Text Messages Associated With Increased Physical Activity Among Cardiac Rehabilitation Enrollees: Secondary Analysis of a Microrandomized Trial.

Namratha Atluri, Kashvi Gupta, Tanima Basu, Evan Luff, Jieru Shi, Thomas Boyden, Bhramar Mukherjee, Sachin Kheterpal, Predrag Klasnja, Walter Dempsey and 2 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04587882 (Virtual AppLication-supported ENvironment To INcrease Exercise During Cardiac Rehabilitation Study), which is not on this map. Not yet cited in PubMed.

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

NCT04587882 nacompletednot on this map

Virtual AppLication-supported ENvironment To INcrease Exercise During Cardiac Rehabilitation Study

TypeinterventionalSponsorUniversity of MichiganRan2020 to 2022Enrolled223ConditionsHeart Diseases, Cardiovascular DiseasesArmsTelehealth, Control
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Namratha Atluri *Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-1944-8123
Kashvi Gupta *Division of Nephrology, Department of Internal Medicine, University of California, San Francisco, San Francisco, CA, United States.ORCID 0000-0002-3083-1804
Tanima BasuDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-5846-7557
Evan LuffDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0009-0004-4582-0034
Jieru ShiStatistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1108-1558
Thomas BoydenDivision of Cardiovascular Diseases, Department of Internal Medicine, Corewell Health, Grand Rapids, MI, United States.ORCID 0009-0005-2107-3609
Bhramar MukherjeeDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0003-0118-4561
Sachin KheterpalDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-6546-0273
Predrag KlasnjaSchool of Information, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-4570-703X
Walter DempseyDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-6510-4121
Brahmajee K NallamothuDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-4331-6649
Jessica R GolbusDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-9538-3926

Funding

MObile health interVention to INcrease activity in Heart Failure (MOVIN-HF)K23HL168220 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Rachel Golbus · 2023 to 2026
$730k
NHLBI NIH HHS K23 HL168220NHLBI NIH HHS L30 HL143700
6 · The paper itself

Abstract

backgroundEmerging data suggest that text message-based mobile health interventions may enhance physical activity levels in patients with cardiovascular disease enrolled in cardiac rehabilitation. The optimal characteristics of texts that lead to maximal patient engagement and drive meaningful behavioral change are not well understood.

objectiveThis study aimed to understand how text- and participant-level characteristics impact physical activity levels after text delivery.

methodsThe VALENTINE (Virtual Application-Supported Environment to Increase Exercise) study was a randomized controlled trial designed to evaluate a mobile health intervention delivered to low- and moderate-risk adults enrolled in cardiac rehabilitation. Embedded within this study was a microrandomized trial focused on the effect of texts on physical activity levels among intervention participants. Participants in the intervention group received texts through a smartwatch (Apple Watch or Fitbit Versa) that were tailored to the time of day, day of the week (weekday vs weekend), weather, and time since enrollment in cardiac rehabilitation. Texts also differed in content type (walking vs antisedentary) and in the level of personalization (inclusion of the participant's name or not). Delivery was randomized at 4 user-selected time points daily, with participants having a 25% probability of receiving a text at any time point. The primary outcome was step count 60 minutes after a decision point. This analysis focuses on the text- and participant-level factors that moderated the intervention's effect on the primary outcome. Given potential measurement differences determined a priori, analyses were stratified by device type and phase of cardiac rehabilitation and adjusted for age, sex, and baseline activity status using a generalization of regression analysis.

resultsMore than 70,552 randomizations occurred in 108 participants (mean age 59.5, SD 10.7 years; n=36, 33.3% female; n=19, 17.6% non-White; n=68, 63% Apple Watch users) over 6 months. Overall, no text characteristics (including personalization with the participant's name) or participant characteristics (including baseline physical activity) consistently impacted text responsiveness for either device type. Although the findings were not consistently significant between device types and across phases of the trial, there was a trend toward increased responsiveness to texts that promoted walking (compared to antisedentary texts) and that were delivered to younger (aged <65 years) and male participants.

conclusionsIn this randomized clinical trial, we found that tailored texts improved physical activity levels among cardiac rehabilitation enrollees in the initiation phase, but this effect was not explained by text- or participant-level moderators. Additional work is needed to explore the impact of tailoring based on an extended set of personal and environmental factors to optimize the delivery and efficacy of text message-based interventions.

trial registrationClinicalTrials.gov NCT04587882; https://clinicaltrials.gov/study/NCT04587882. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.ahj.2022.02.012.

Indexed as

Cardiac RehabilitationExerciseText MessagingAgedFemaleHumansMaleMiddle Agedcardiac rehabilitationmHealthmobile healthpersonalizationphysical activitytailoringtext messages

Identifiers

PMID42580690
PMCPMC13507717

What OpenQuestion holds

Textmetadata
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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.