The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.


Journal

Psychological methods
ISSN: 1939-1463
Titre abrégé: Psychol Methods
Pays: United States
ID NLM: 9606928

Informations de publication

Date de publication:
Oct 2022
Historique:
pubmed: 14 1 2022
medline: 6 12 2022
entrez: 13 1 2022
Statut: ppublish

Résumé

Just-in-time adaptive interventions (JITAIs) are time-varying adaptive interventions that use frequent opportunities for the intervention to be adapted-weekly, daily, or even many times a day. The microrandomized trial (MRT) has emerged for use in informing the construction of JITAIs. MRTs can be used to address research questions about whether and under what circumstances JITAI components are effective, with the ultimate objective of developing effective and efficient JITAI. The purpose of this article is to clarify why, when, and how to use MRTs; to highlight elements that must be considered when designing and implementing an MRT; and to review primary and secondary analyses methods for MRTs. We briefly review key elements of JITAIs and discuss a variety of considerations that go into planning and designing an MRT. We provide a definition of causal excursion effects suitable for use in primary and secondary analyses of MRT data to inform JITAI development. We review the weighted and centered least-squares (WCLS) estimator which provides consistent causal excursion effect estimators from MRT data. We describe how the WCLS estimator along with associated test statistics can be obtained using standard statistical software such as R (R Core Team, 2019). Throughout we illustrate the MRT design and analyses using the HeartSteps MRT, for developing a JITAI to increase physical activity among sedentary individuals. We supplement the HeartSteps MRT with two other MRTs, SARA and BariFit, each of which highlights different research questions that can be addressed using the MRT and experimental design considerations that might arise. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Identifiants

pubmed: 35025583
pii: 2022-21177-001
doi: 10.1037/met0000283
pmc: PMC9276848
mid: NIHMS1762717
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

874-894

Subventions

Organisme : NIBIB NIH HHS
ID : U54 EB020404
Pays : United States
Organisme : NIDA NIH HHS
ID : P50 DA039838
Pays : United States
Organisme : NIAAA NIH HHS
ID : R01 AA023187
Pays : United States
Organisme : CDC HHS
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB028242
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA039901
Pays : United States
Organisme : NIH HHS
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA229437
Pays : United States
Organisme : Patient-Centered Outcomes Research Institute
Pays : United States
Organisme : NIDA NIH HHS
ID : P50 DA054039
Pays : United States

Auteurs

Ashley E Walton (AE)

Department of Philosophy.

Stephanie T Lanza (ST)

Edna Bennett Pierce Prevention Research Center.

Inbal Nahum-Shani (I)

Institute for Social Research.

Mashfiqui Rabbi (M)

Department of Statistics.

Maureen A Walton (MA)

Department of Psychiatry.

Hyesun Yoo (H)

Department of Statistics.

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Classifications MeSH