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


Journal

Circulation. Cardiovascular quality and outcomes
ISSN: 1941-7705
Titre abrégé: Circ Cardiovasc Qual Outcomes
Pays: United States
ID NLM: 101489148

Informations de publication

Date de publication:
02 2021
Historique:
pubmed: 13 1 2021
medline: 28 9 2021
entrez: 12 1 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33430608
doi: 10.1161/CIRCOUTCOMES.120.006760
pmc: PMC8887814
mid: NIHMS1663982
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e006760

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL125440
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM013107
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007853
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA229445
Pays : United States

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Auteurs

Jessica R Golbus (JR)

Division of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., B.K.N.), University of Michigan, Ann Arbor.

Walter Dempsey (W)

Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor (W.D.).

Elizabeth A Jackson (EA)

Division of Cardiovascular Medicine, Department of Internal Medicine, University of Alabama at Birmingham (E.A.J.).

Brahmajee K Nallamothu (BK)

Division of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., B.K.N.), University of Michigan, Ann Arbor.
Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), Division of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan (B.K.N.).
The Center for Clinical Management and Research, Ann Arbor VA Medical Center, MI (B.K.N.).

Predrag Klasnja (P)

School of Information (P.K.), University of Michigan, Ann Arbor.
Kaiser Permanente Washington Health Research Institute, Seattle (P.K.).

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Classifications MeSH