Evidence map›Paper›PMID 30425932›Full record

ArticleInternet interventions2019

User-centered, interaction design research approaches to inform the development of health risk behavior intervention technologies.

Tyler B Wray, Christopher W Kahler, Erik M Simpanen, Don Operario

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 39 citations in OpenAlex.

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  12. Advancing nursing participation in user-centred design.Journal of research in nursing : JRN · 2020
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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

4 authors at 1 institution in 1 country.

Tyler B WrayCenter for Alcohol and Addictions Studies, Brown University School of Public Health, Providence, RI 02906, United States of America.
Christopher W KahlerCenter for Alcohol and Addictions Studies, Brown University School of Public Health, Providence, RI 02906, United States of America.
Erik M SimpanenCenter for Alcohol and Addictions Studies, Brown University School of Public Health, Providence, RI 02906, United States of America.
Don OperarioCenter for Alcohol and Addictions Studies, Brown University School of Public Health, Providence, RI 02906, United States of America.
Brown University · US

Funding

Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
Web-facilitated intervention for heavy drinking and HIV riskR34AA023478 · NIAAA · BROWN UNIVERSITY · PI KAHLER, CHRISTOPHER W., OPERARIO, DON · 2015 to 2017
$701k
NIAAA NIH HHS R34 AA023478NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundComputers have tremendous potential for helping people change behaviors that put their health at risk. This potential has led to the development of a variety of health behavior intervention technologies (BITs) in recent years. While many of these BITs have been informed by scientific theories on behavior change, poor design can fail to engage intended users. User-centered, interaction design (IxD) research can help BIT developers create tools that are intuitive and enjoyable and that align with intended users' goals. In this manuscript, we describe an IxD research process we used to inform the development of a tablet-optimized web application designed to help heavy drinking gay and bisexual men reduce their risk for HIV when they seek HIV testing.

methodsWe conducted focus groups with subject matter experts (SMEs,

resultsSMEs emphasized the importance of putting patients at ease, and suggested that interventions should prioritize identifying personal risks and provide options for change. Personas created by intended users provided important details about users' attitudinal and emotional contexts, and their possible motivations and goals for using the app. These suggested that users might be most motivated to use the app in order to understand their personal risks, compare their behavior with others like them, help them decide whether they want to change to reduce their risk, and see all their options for doing so. Personas also provided insights about the aesthetic experience that might be most appealing to users.

conclusionsInteraction design research can provide BIT development teams with personal models of likely users to help guide decisions about the allocation of design resources and the overall form and spirit of the software. These insights can help teams build BITs that are more engaging and interesting to intended users.

Indexed as

Alcohol useBehavioral interventionseHealthHIV preventionLGBT

Identifiers

PMID30425932
PMCPMC6222087
OpenAlexW2899132085

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.