Evidence map›Paper›PMID 29604043›Full record

ReviewClinical pharmacology and therapeutics2018

Optimizing Digital Integrated Care via Micro-Randomized Trials.

Ashley Walton, Inbal Nahum-Shani, Lori Crosby, Predrag Klasnja, Susan Murphy

Registry-linked trialAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997943 (SMART Weight Loss Management), which is not on this map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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.

NCT02997943 nacompletednot on this map

SMART Weight Loss Management

TypeinterventionalSponsorNorthwestern UniversityRan2017 to 2021Enrolled400ConditionsWeight LossArmsStep 1 Treatment: APP, Step 1 Treatment: APP + Coaching, Step 2 Treatment Strategy: Modest Step-up, Step 2 Treatment Strategy: Vigorous Step-up
3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Optimization of a Mobile Transdiagnostic Emotion Regulation Intervention for University Students: A Micro-Randomized Trial.Stress and health : journal of the International Society for the Investigation of Stress · 2025
    Trial
  5. Trial
  6. Contextual Predictors of Engagement in a Tailored mHealth Intervention for Adolescent and Young Adult Cancer Survivors.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021
    Trial
  7. Trial
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Ashley WaltonHarvard University, Department of Statistics, Boston, Massachusetts, USA.
Inbal Nahum-ShaniUniversity of Michigan, Institute for Social Research, Ann Arbor, Michigan, USA.
Lori CrosbyCincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Predrag KlasnjaUniversity of Michigan, School of Information, Ann Arbor, Michigan, USA.
Susan MurphyHarvard University, Department of Statistics, Boston, Massachusetts, USA.

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
TRAINING U54EB020404 · NIBIB · UNIVERSITY OF MEMPHIS · PI KUMAR, SANTOSH · 2014 to 2018
$11.3M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Heart Steps: Adaptive mHealth intervention for physical-activity maintenanceR01HL125440 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Predrag Klasnja · 2015 to 2026
$3.8M
SMART Weight Loss ManagementR01DK108678 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI NAHUM-SHANI, INBAL BILLIE, SPRING, BONNIE · 2016 to 2020
$3.5M
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
NHLBI NIH HHS R01 HL125440NIAAA NIH HHS R01 AA023187NIBIB NIH HHS U54 EB020404NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039901NIDDK NIH HHS R01 DK108678
6 · The paper itself

Abstract

Mobile health (mHealth) interventions are a promising tool in providing digitally mediated integrative care. They can extend care outside of the clinic by providing reminders to take medications, assisting in managing symptoms, and supporting healthy behaviors including physical activity, healthy eating, and stress management. mHealth interventions can adapt the delivery of care across time in order to optimize treatment effectiveness. Yet there exists limited empirical evidence useful to the development of adaptive mHealth interventions. This article describes a new randomized trial design, the Micro-Randomized Trial (MRT), for informing the development of mHealth interventions. We provide examples of scientific questions important to the development of an mHealth intervention, and describe how these questions can be answered using an MRT.

Indexed as

Randomized Controlled Trials as TopicTelemedicineDelivery of Health CareHumansMedication AdherenceReminder SystemsSelf-ManagementSocial Support

Identifiers

PMID29604043
PMCPMC5995647

What OpenQuestion holds

Textmetadata
LicenceTDM
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.