Evidence map›Paper›PMID 35900813›Full record

ArticleJMIR research protocols2022

Understanding Design Approaches and Evaluation Methods in mHealth Apps Targeting Substance Use: Protocol for a Systematic Review.

Sahiti Kunchay, Ashley N Linden-Carmichael, Stephanie T Lanza, Saeed Abdullah

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. 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, top 92% of its field
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, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Sahiti KunchayCollege of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0001-8468-8794
Ashley N Linden-CarmichaelEdna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0001-8187-6538
Stephanie T LanzaEdna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0002-6101-8381
Saeed AbdullahCollege of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, United States.ORCID https://orcid.org/0000-0002-4371-8173
Pennsylvania State University · US

Funding

Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI BRAY, BETHANY C. · 2015 to 2019
$13.9M
Simultaneous Alcohol and Marijuana Use: Momentary Influences and ConsequencesK01AA026854 · NIAAA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LINDEN-CARMICHAEL, ASHLEY NICOLE · 2019 to 2023
$826k
NIAAA NIH HHS K01 AA026854NIDA NIH HHS P50 DA039838
6 · The paper itself

Abstract

backgroundSubstance use and use disorders in the United States have had significant and devastating impacts on individuals and communities. This escalating substance use crisis calls for urgent and innovative solutions to effectively detect and provide interventions for individuals in times of need. Recent mobile health (mHealth)-based approaches offer promising new opportunities to address these issues through ubiquitous devices. However, the design rationales, theoretical frameworks, and mechanisms through which users' perspectives and experiences guide the design and deployment of such systems have not been analyzed in any prior systematic reviews.

objectiveIn this paper, we systematically review these approaches and apps for their feasibility, efficacy, and usability. Further, we evaluate whether human-centered research principles and techniques guide the design and development of these systems and examine how the current state-of-the-art systems apply to real-world contexts. In an effort to gauge the applicability of these systems, we also investigate whether these approaches consider the effects of stigma and privacy concerns related to collecting data on substance use. Lastly, we examine persistent challenges in the design and large-scale adoption of substance use intervention apps and draw inspiration from other domains of mHealth to suggest actionable reforms for the design and deployment of these apps.

methodsFour databases (PubMed, IEEE Xplore, JMIR, and ACM Digital Library) were searched over a 5-year period (2016-2021) for articles evaluating mHealth approaches for substance use (alcohol use, marijuana use, opioid use, tobacco use, and substance co-use). Articles that will be included describe an mHealth detection or intervention targeting substance use, provide outcomes data, and include a discussion of design techniques and user perspectives. Independent evaluation will be conducted by one author, followed by secondary reviewer(s) who will check and validate themes and data.

resultsThis is a protocol for a systematic review; therefore, results are not yet available. We are currently in the process of selecting the studies for inclusion in the final analysis.

conclusionsTo the best of our knowledge, this is the first systematic review to assess real-world applicability, scalability, and use of human-centered design and evaluation techniques in mHealth approaches targeting substance use. This study is expected to identify gaps and opportunities in current approaches used to develop and assess mHealth technologies for substance use detection and intervention. Further, this review also aims to highlight various design processes and components that result in engaging, usable, and effective systems for substance use, informing and motivating the future development of such systems. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35749.

Indexed as

design rationaledigital healthhuman-centered designmHealthmobile healthmobile phoneprotocolsmartphonesubstancesubstance usesystematic reviewtheoretical framinguse disorder

Identifiers

PMID35900813
PMCPMC9377467
OpenAlexW4229029486

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.