Evidence map›Paper›PMID 32965227›Full record

ArticleJMIR research protocols2020

Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials.

Emily B Kroska, Sydney Hoel, Amanda Victory, Susan A Murphy, Melvin G McInnis, Zachary N Stowe, Amy Cochran

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT04081662 phase1completednot on this map

Examining the Efficacy of Acceptance and Commitment Therapy (ACT) Microinterventions for Distressed First-Generation College Students

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2019 to 2021Enrolled36ConditionsPsychological Distress, Self-Assessment, Mood ChangeArmscompACT Intervention
NCT04098497 phase1completednot on this map

Modeling Mood Course to Detect Markers for Effective Adaptive Interventions- Aim 3

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2019 to 2020Enrolled30ConditionsBipolar Disorder, Psychosocial InterventionArmsMobile intervention
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

7 authors.

Emily B KroskaDepartment of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States.ORCID https://orcid.org/0000-0002-0416-1157
Sydney HoelDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0002-5920-3174
Amanda VictoryDepartment of Psychiatry, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-4948-5702
Susan A MurphyDepartment of Statistics, Harvard University, Cambridge, MA, United States.ORCID https://orcid.org/0000-0002-2032-4286
Melvin G McInnisDepartment of Psychiatry, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-0375-6247
Zachary N StoweDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0001-6320-8042
Amy CochranDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0001-6024-796X

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI BRAY, BETHANY C. · 2015 to 2019
$13.9M
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs SupplementU01CA229437 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAHUM-SHANI, INBAL BILLIE, WETTER, DAVID W · 2018 to 2022
$2.8M
Data-Based Methods for Just-In-Time Adaptive Interventions in Alcohol UseR01AA023187 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2015 to 2019
$2.6M
Modeling mood course to detect markers for effective adaptive interventionsK01MH112876 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI COCHRAN, AMY LOUISE · 2017 to 2020
$511k
NCATS NIH HHS UL1 TR002373NCI NIH HHS U01 CA229437NIAAA NIH HHS R01 AA023187NIDA NIH HHS P50 DA039838NIMH NIH HHS K01 MH112876
6 · The paper itself

Abstract

backgroundGiven gaps in the treatment of mental health, brief adaptive interventions have become a public health imperative. Transdiagnostic interventions may be particularly appropriate given high rates of medical comorbidity and the broader reach of transdiagnostic therapies. One such approach utilized herein is acceptance and commitment therapy (ACT), which is focused on increasing engagement with values, awareness, and openness to internal experiences. ACT theory posits that experiential avoidance is at the center of human suffering, regardless of diagnosis, and, as such, seeks to reduce unworkable experiential avoidance.

objectiveOur objective is to provide the rationale and protocol for examining the safety, feasibility, and effectiveness of optimizing an ACT-based intervention via a mobile app among two disparate samples, which differ in sociodemographic characteristics and symptom profiles.

methodsTwice each day, participants are prompted via a mobile app to complete assessments of mood and activity and are then randomly assigned to an ACT-based intervention or not. These interventions are questions regarding engagement with values, awareness, and openness to internal experiences. Participant responses are recorded. Analyses will examine completion of assessments, change in symptoms from baseline assessment, and proximal change in mood and activity. A primary outcome of interest is proximal change in activity (eg, form and function of behavior and energy consumed by avoidance and values-based behavior) following interventions as a function of time, symptoms, and behavior, where we hypothesize that participants will focus more energy on values-based behaviors. Analyses will be conducted using a weighted and centered least squares approach. Two samples will run concurrently to assess the capacity of optimizing mobile ACT in populations that differ widely in their clinical presentation and sociodemographic characteristics: individuals with bipolar disorder (n=30) and distressed first-generation college students (n=50).

resultsRecruitment began on September 10, 2019, for the bipolar sample and on October 5, 2019, for the college sample. Participation in the study began on October 18, 2019.

conclusionsThis study examines an ACT-based intervention among two disparate samples. Should ACT demonstrate feasibility and preliminary effectiveness in each sample, a large randomized controlled trial applying ACT across diagnoses and demographics would be indicated. The public health implications of such an approach may be far-reaching.

trial registrationClinicalTrials.gov NCT04098497; https://clinicaltrials.gov/ct2/show/NCT04098497; ClinicalTrials.gov NCT04081662; https://clinicaltrials.gov/ct2/show/NCT04081662. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/17086.

Indexed as

acceptance and commitment therapybipolar disorderclinical trialmobile appsmobile phonestudents

Identifiers

PMID32965227
PMCPMC7542401

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.