Evidence map›Paper›PMID 40313913›Full record

ArticleFrontiers in digital health2025

Applying design to design: demonstrating how to create a human-centered design session interview guide for use with adolescents.

Macarena Kruger, Andrea B Goldschmidt, Adrian Ortega, Abigail Wharton, Danielle A N Chapa, Erin R Stalvey, Isabel R Rooper, Katrina T Obleada, Graham C Miller, Andrea K Graham

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Macarena KrugerCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Andrea B GoldschmidtDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Adrian OrtegaCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Abigail WhartonDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Danielle A N ChapaDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Erin R StalveyDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.
Isabel R RooperCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Katrina T ObleadaCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Graham C MillerCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Andrea K GrahamCenter for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health interventions (DHIs) hold promise for improving the reach of mental health care for adolescents, particularly those from under-resourced communities who may face significant barriers to accessing in-person care. Yet, low engagement and uptake have challenged DHIs' potency. Human-centered design (HCD) integrates end-users (i.e., future users of the DHI) into iterative design processes, thereby prioritizing their needs and preferences. Clinical scientists are increasingly embracing HCD, but often lack expertise in how to apply these methods in practice. We provide a template for creating a design session interview guide in a needs assessment, which is the first phase in our HCD process to design a DHI for dysregulated eating in adolescents. To create the guide, we first conducted a "needs assessment" within our team to identify important topic areas that required feedback from adolescents ("investigate"). We then consolidated these ideas into structured domains through a brainstorming process ("ideate"), which resulted in an initial draft of a design session guide ("prototype"). Next, we piloted the prototype with members of our team and a technology-savvy adolescent ("evaluate") to refine it prior to administration with the target audience ("refine and develop"). Our internal needs assessment identified that we needed to learn adolescents' preferences for technology (e.g., desired features), clinical content (e.g., areas for specialized support), delivery (e.g., coaching), and developmental relevance (e.g., focus on self-regulation). We organized these topics into six domains: dysregulated eating experiences and current help-seeking behaviors, major challenges that impact dysregulated eating, preferred intervention features and skills, preferences for coaching support, the potential role of sensors to assess activity behaviors, and preferred aesthetics and brand. We created relevant prompts within each domain, revised, and reordered them to elicit more comprehensive responses during administration. Next, we practiced administering the guide internally amongst our team, then with a non-participant adolescent volunteer. Using HCD, we created a semi-structured design session interview guide that will be administered in an upcoming needs assessment with adolescents and will continue to evolve as we learn from adolescents. This case example unpacks the process of creating and iterating a design session guide that could be applied across clinical domains.

Indexed as

adolescentscognitive-behavior therapydigital mental health interventionhuman-centered design (HCD)implementation sciencenovel methodology

Identifiers

PMID40313913
PMCPMC12043636

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.