Evidence map›Paper›PMID 35815770›Full record

ArticleAmerican journal of health promotion : AJHP2023

Applying User-Centered Design in the Development of a Supportive mHealth App for Women in Substance Use Recovery.

Emery R Eaves, Eck Doerry, Shana A Lanzetta, Kathryn M Kruithoff, Kayla Negron, Kaitlyn Dykman, Olivia Thoney, Calvin C Harper

Open access · greenAbstract read
In one paragraph

Article in American journal of health promotion : AJHP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.ACM transactions on computer-human interaction : a publication of the Association for Computing Machinery · 2025
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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

8 authors at 1 institution in 1 country.

Emery R EavesDepartment of Anthropology, 3356Northern Arizona University, Flagstaff, AZ, USA.ORCID 0000-0003-0692-7213
Eck DoerrySchool of Informatics, Computing, and Cyber Systems, 3356Northern Arizona University, Flagstaff, AZ, USA.ORCID 0000-0002-5511-1854
Shana A LanzettaCenter for Health Equity Research, 3356Northern Arizona University, Flagstaff, AZ, USA.
Kathryn M KruithoffCenter for Health Equity Research, 3356Northern Arizona University, Flagstaff, AZ, USA.
Kayla NegronCenter for Health Equity Research, 3356Northern Arizona University, Flagstaff, AZ, USA.
Kaitlyn DykmanCenter for Health Equity Research, 3356Northern Arizona University, Flagstaff, AZ, USA.
Olivia ThoneySchool of Informatics, Computing, and Cyber Systems, 3356Northern Arizona University, Flagstaff, AZ, USA.
Calvin C HarperSchool of Informatics, Computing, and Cyber Systems, 3356Northern Arizona University, Flagstaff, AZ, USA.
Northern Arizona University · US

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Samantha Jane Sabo · 2017 to 2026
$49.7M
NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

purpose and approachWomen in recovery describe stigma, negative treatment, and limited support as barriers to achieving their health and parenting goals. Mobile health technologies carefully tailored to support the unique needs of recovery communities can provide less burdensome alternatives to in-person services for women transitioning out of substance use treatment. An iterative design process integrated women's interests into the structure, content, and interaction flow of a mobile health (mHealth) app. SETTING AND

participantsParticipants included women in recovery from opioid, alcohol, and polysubstance use disorders in a comprehensive housing program in urban Arizona.

methodsFive focus groups with 3-7 participants each (n = 27 total) informed creation of the mHealth app. Informed by theoretical models of usability and person-centered design, development involved an iterative series of focus groups in which we asked women to comment on interest in using each feature. This provided a qualitative priority framework for feature development. We then modified the app and repeated the process to gauge consensus and continually refine our prototype.

resultsWomen were interested in access to resources, such as housing, counseling, and parenting advice in settings known to treat women in recovery with respect. They also asked for positive messages, chatting with peers, and access to expert answers. They were less interested in points-based learning modules and "scored" activities, leading us to develop a "daily challenges" concept that builds good habits, but does not feel like "classwork". Women's recommendations shaped an mHealth app tailored to maximize utility, access, and safety for this at-risk population.

conclusionIntegration of user-centered design with applied ethnographic techniques guided the development of a custom-tailored mHealth app responsive to lived experiences and needs of women in recovery. Future research should evaluate the potential for user-centered apps to increase self-efficacy, perceived social support, and to reduce risk of relapse.

Indexed as

Mobile ApplicationsSubstance-Related DisordersTelemedicineFemaleFocus GroupsHumansUser-Centered DesignmHealthmobile health applicationsopioid use disordersqualitative researchsocial supportstress managementsubstance abusesubstance use disorderswomen

Identifiers

PMID35815770
PMCPMC9771986
OpenAlexW4285014863

What OpenQuestion holds

Textmetadata
LicenceTDM
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.