Evidence map›Paper›PMID 41007540›Full record

ArticleInternational journal of environmental research and public health2025

Patterns of mHealth Engagement and Identification of Facilitators and Barriers to Mobile Health Applications for People Who Use Opioids.

Lauren Dayton, Haley Bonneau, Grace Yi, Melissa Davey-Rothwell, Carl Latkin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. 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

5 authors.

Lauren DaytonJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0002-1400-3670
Haley BonneauJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Grace YiJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Melissa Davey-RothwellJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Carl LatkinJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0002-7931-2116

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
A geospatial analysis of hotspots and targeted injection settings pilot intervention for HIV prevention among people who inject drugs in Baltimore, MarylandR01DA050470 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A · 2020 to 2025
$4.1M
Johns Hopkins CFAR Johns Hopkins CFARNIAID NIH HHS P30 AI094189NIDA NIH HHS R01 DA050470NIDA NIH HHS R01DA050470
6 · The paper itself

Abstract

Mobile health (mHealth) applications represent low-cost, scalable interventions with broad reach and are valuable for people who use opioids (PWUO), a population that often experiences low retention in traditional research studies. This study examines engagement patterns with the OASIS app, an mHealth app prompting PWUO in Baltimore, Maryland, to report daily on substance use locations and overdose prevention behaviors over 14 days. Between December 2022 and September 2023, 210 PWUO participated. Engagement was measured by survey completion, with high engagement defined as completing at least 75% of surveys. The median number of surveys completed was 9.0 (mean: 7.57), and 29.4% of participants demonstrated high engagement. Logistic regression models showed that residential stability was significantly associated with higher engagement (adjusted odds ratio [aOR]: 4.90; 95% CI: 1.35, 17.84), while weekly or more frequent injection drug use was associated with lower engagement (aOR: 0.31; 95% CI: 0.11, 0.89). Mobile device proficiency and other demographics were not significantly associated with engagement, likely due to mandatory in-person training reducing tech barriers. Results indicate that PWUO can meaningfully engage with mHealth apps, especially when supported by structural factors, such as stable housing.

Indexed as

Analgesics, OpioidMobile ApplicationsOpioid-Related DisordersTelemedicineAdolescentAdultBaltimoreFemaleHumansMaleMiddle AgedYoung AdultAnalgesics, Opioidapp engagementmHealthpeople who use opioids

Identifiers

PMID41007540
PMCPMC12469530

What OpenQuestion holds

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LicenceCC BY
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.