Cited by 30Digital Mental Health InterventionsMobile Health and mHealth ApplicationsInnovative Human-Technology Interaction

Initial Design of Culturally Informed Behavioral Intervention Technologies: Developing an mHealth Intervention for Young Sexual Minority Men With Generalized Anxiety Disorder and Major Depression

Open access
Burns, Michelle Nicole, Montague, Enid, Mohr, David C·2013·Journal of Medical Internet Research

Abstract

BACKGROUND: To our knowledge, there is no well-articulated process for the design of culturally informed behavioral intervention technologies. OBJECTIVE: This paper describes the early stages of such a process, illustrated by the methodology for the ongoing development of a behavioral intervention technology targeting generalized anxiety disorder and major depression among young sexual minority men. METHODS: We integrated instructional design for Internet behavioral intervention technologies with greater detail on information sources that can identify user needs in understudied populations, as well as advances in the understanding of technology-specific behavioral intervention technology dimensions that may need to be culturally tailored. RESULTS: General psychological theory describing how to effect change in the clinical target is first integrated with theory describing potentially malleable factors that help explain the clinical problem within the population. Additional information sources are then used to (1) evaluate the theory, (2) identify population-specific factors that may affect users' ability to relate to and benefit from the behavioral intervention technology, and (3) establish specific skills, attitudes, knowledge, etc, required to change malleable factors posited in the theory. User needs result from synthesis of this information. Product requirements are then generated through application of the user needs to specific behavioral intervention technology dimensions (eg, technology platform). We provide examples of considerations relevant to each stage of this process and how they were applied. CONCLUSIONS: This process can guide the initial design of other culturally informed behavioral intervention technologies. This first attempt to create a systematic design process can spur development of guidelines for design of behavioral intervention technologies aimed to reduce health disparities.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2196/jmir.2826

Cites

45 of 45 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. [3]Institute of Medicine; Board on the Health of Select Populations; Committee on LGBT Health Issues and Research Gaps and Opportunities The Health of Lesbian, Gay, Bisexual, and Transgender (LGBT) People: Building a Foundation for Better Understanding 2011 Washington, D.C National Academies Press 22013611
  2. [32]Pilkington NW D'Augelli AR Victimization of lesbian, gay, and bisexual youth in community settings J Community Psychol 1995 23 1 34 56 10.1002/1520-6629(199501)199523:199501<199534::AID-JCOP2290230105>2290230103.2290230100.CO;2290230102-N · DOI
  3. [47]Miller WR Rollnick S Motivational Interviewing, Second Edition: Preparing People for Change 2002 New York The Guilford Press

Cited by

Sorted by citations

Authors
Burns, M. N., Montague, E., & Mohr, D. C.
Affiliations
Northwestern University (US)
Corresponding author
Burns, Michelle Nicole
Venue
Journal of Medical Internet Research
Published
2013-12-05
Volume
15
Issue
12
Pages
e271
ISSN
1438-8871 (ISSN-L)
OpenAlex
W2000396398
Cited by
24
References
45
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2022: 4 · 2021: 4 · 2020: 1 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 1
FWCI
2.04
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Journal of Medical Internet Research (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute of Mental Health (K08MH094441)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
mobile health, generalized anxiety disorder, major depressive disorder, instructional design, user needs analysis, culturally tailored interventions, health disparities, design process
MeSH terms
Adolescent, Anxiety Disorders, Behavior Therapy, Cultural Characteristics, Major Depressive Disorder, Humans, Male, Models, Psychological, Telemedicine, Homosexuality, Male, Health Status Disparities, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review