Evidence map›Paper›PMID 42701693›Full record

ArticleInternational Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare2026

"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study.

Susobhan Ghosh, Pei-Yao Hung, Erin E Bonar, Lara N Coughlin, Yongyi Guo, Inbal Nahum-Shani, Maureen Walton, Mark W Newman, Susan A Murphy

Abstract read
In one paragraph

Article in International Conference on Pervasive Computing Technologies for Healthcare : [proceedings]. International Conference on Pervasive Computing Technologies for Healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Susobhan GhoshHarvard University, Boston, Massachusetts, USA.ORCID 0000-0003-3654-4141
Pei-Yao HungUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-7415-901X
Erin E BonarUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8849-4196
Lara N CoughlinUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-6234-0850
Yongyi GuoUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-1192-0454
Inbal Nahum-ShaniUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-6138-9089
Maureen WaltonUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-6547-0204
Mark W NewmanUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-7186-1383
Susan A MurphyHarvard University, Boston, Massachusetts, USA.ORCID 0000-0002-2032-4286

Funding

Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
TR&D3 - Rapid Translation of AI-powered Temporally Precise mHealth Interventions via Efficient and Embeddable Trustworthy Biomarker ImplementationsP41EB028242 · NIBIB · UNIVERSITY OF MEMPHIS · PI Santosh Kumar · 2020 to 2026
$9.5M
NIBIB NIH HHS P41 EB028242NIDA NIH HHS P50 DA054039
6 · The paper itself

Abstract

Cannabis use among emerging adults is increasing globally, posing significant health risks and creating a need for effective interventions. This paper presents an exploratory analysis of the MiWaves pilot study, a digital intervention aimed at supporting cannabis use reduction among emerging adults (ages 18-25). The findings indicate the potential of self-monitoring check-ins and trend visualizations in fostering self-awareness and promoting behavioral reflection in participants. MiWaves intervention message timing and frequency were also generally well-received by the participants. The participants' perception of effort were queried on intervention messages with different tasks, and the findings suggest that messages with tasks like exploring links and typing in responses are perceived as requiring more effort as compared to messages with tasks involving reading and acknowledging. Limitations and implications for future research in digital health and just-in-time adaptive interventions are also discussed.

Indexed as

Digital interventionEngagementMobile healthThematic analysis

Identifiers

PMID42701693
PMCPMC13545859

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.