Evidence map›Paper›PMID 33430608›Full record

ArticleCirculation. Cardiovascular quality and outcomes2021

Microrandomized Trial Design for Evaluating Just-in-Time Adaptive Interventions Through Mobile Health Technologies for Cardiovascular Disease.

Jessica R Golbus, Walter Dempsey, Elizabeth A Jackson, Brahmajee K Nallamothu, Predrag Klasnja

Abstract readClinical Trial Protocol
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 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.

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

33 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Jessica R GolbusDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., B.K.N.), University of Michigan, Ann Arbor.
Walter DempseyDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor (W.D.).
Elizabeth A JacksonDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Alabama at Birmingham (E.A.J.).
Brahmajee K NallamothuDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., B.K.N.), University of Michigan, Ann Arbor.
Predrag KlasnjaSchool of Information (P.K.), University of Michigan, Ann Arbor.

Funding

TRAINING IN MOLECULAR AND CELLULAR CARDIOLOGYT32HL007853 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David J. Pinsky · 1996 to 2026
$11.6M
Heart Steps: Adaptive mHealth intervention for physical-activity maintenanceR01HL125440 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Predrag Klasnja · 2015 to 2026
$3.8M
Operationalizing Behavioral Theory for mHealth: Dynamics, Context, and PersonalizationU01CA229445 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KLASNJA, PREDRAG, MARLIN, BENJAMIN M. · 2018 to 2022
$2.1M
SCH: Control Systems Engineering for Counteracting Notification Fatigue: An Examination of Health Behavior Change R01LM013107 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HEKLER, ERIC, KLASNJA, PREDRAG · 2019 to 2022
$995k
NCI NIH HHS U01 CA229445NHLBI NIH HHS R01 HL125440NHLBI NIH HHS T32 HL007853NLM NIH HHS R01 LM013107
6 · The paper itself

Abstract

Smartphone and wearable device use is rising broadly and can be leveraged for chronic disease management. Just-in-time adaptive interventions promise to deliver personalized, dynamic interventions directly to patients through use of push notifications from mobile devices. Although just-in-time adaptive interventions are a powerful tool for shaping health behavior, their application to cardiovascular disease management has been limited as they can be challenging to design. Herein, we provide a general overview and conceptual framework for microrandomized trials, a novel experimental study design that can be used to optimize just-in-time adaptive interventions. Microrandomized trials leverage mobile devices to sequentially randomize participants to types or levels of an intervention to determine the effectiveness of an intervention and time-varying moderators of those effects. Microrandomized trials are an efficient study design that can be used to determine which intervention components to include in just-in-time adaptive interventions and to optimize their decision rules while maintaining the strength of causal inference associated with traditional randomized controlled trials.

Indexed as

Cardiovascular DiseasesMobile ApplicationsTelemedicineComputers, HandheldHealth BehaviorHumansRandomized Controlled Trials as TopicSmartphonecardiovascular diseaseschronic diseasedisease managementhealth behaviorsmartphone

Identifiers

PMID33430608
PMCPMC8887814

What OpenQuestion holds

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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.