Evidence map›Paper›PMID 42013232›Full record

ArticleJMIR human factors2026

"Helpful in Thinking Through the Question": Redesigning the Patient Health Questionnaire-8 for Depression Assessment to Enhance Patient Engagement and Understanding.

Hannah Dorris, Jenna Sheldon, Courtney Sepucha, Emmanuel Kasuti Makau, Pape Sow Traoré, Elizabeth Murnane, Nicholas Jacobson

Abstract read
In one paragraph

Article in JMIR human factors, 2026. 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
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.

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

7 authors.

Hannah DorrisCenter for Technology and Behavioral Health, Dartmouth College, 46 Centerra Parkway, EverGreen Building, Lebanon, NH, 03766, United States, 1 7202894016.ORCID 0009-0009-6455-8007
Jenna SheldonThayer School of Engineering, Dartmouth College, Hanover, NH, United States.ORCID 0009-0000-8102-6779
Courtney SepuchaThayer School of Engineering, Dartmouth College, Hanover, NH, United States.ORCID 0009-0006-9118-6710
Emmanuel Kasuti MakauDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID 0009-0005-7110-8793
Pape Sow TraoréDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID 0009-0003-7044-888X
Elizabeth MurnaneThayer School of Engineering, Dartmouth College, Hanover, NH, United States.ORCID 0000-0003-2089-207X
Nicholas JacobsonCenter for Technology and Behavioral Health, Dartmouth College, 46 Centerra Parkway, EverGreen Building, Lebanon, NH, 03766, United States, 1 7202894016.ORCID 0000-0002-8832-4741

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Personalized Deep Learning Models of Rapid Changes in Major Depressive Disorder Symptoms using Passive Sensor Data from Smartphones and Wearable DevicesR01MH123482 · NIMH · DARTMOUTH COLLEGE · PI JACOBSON, NICHOLAS CHARLES · 2020 to 2024
$2.6M
NCI NIH HHS P30 CA023108NIDA NIH HHS P30 DA029926NIMH NIH HHS R01 MH123482
6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) is a prevalent and impairing mental health condition characterized by persistent low mood and diminished energy. Self-report instruments, such as the Patient Health Questionnaire-8 (PHQ-8), are frequently used in clinical and research settings for depression assessment. Objective: We developed, redesigned, and tested 2 alternative versions of the PHQ-8 that incorporate visual elements and reframed statements aimed at improving acceptability and comprehension. Methods: In a mixed methods study, 20 participants with high subclinical to moderately severe depressive symptoms provided feedback after completing 3 versions: the standard PHQ-8 form, our version augmented with visual aids, and our version that combined visual aids with rephrased item statements for greater clarity and engagement. Results: Eighty percent (16/20) of participants preferred one of the augmented PHQ-8 versions over the standard questionnaire (P=.006). Conclusions: Participants reported that the augmented versions improved their understanding of survey items, reduced response burden, and increased engagement, suggesting that visual and linguistic design modifications may enhance the patient experience in depression screening.

Indexed as

ComprehensionDepressionMajor Depressive DisorderPatient Health QuestionnairePatient ParticipationPsychometricsAdultFemaleHumansMaleMiddle AgedSurveys and Questionnairesdepressionhuman-computer interactionPatient Health Questionnaire-8PHQ-8survey designuser experience

Identifiers

PMID42013232
PMCPMC13098788

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.