Evidence map›Paper›PMID 37930781›Full record

Trial reportJMIR human factors2023

Association Between User Interaction and Treatment Response of a Voice-Based Coach for Treating Depression and Anxiety: Secondary Analysis of a Pilot Randomized Controlled Trial.

Nan Lv, Thomas Kannampallil, Lan Xiao, Corina R Ronneberg, Vikas Kumar, Nancy E Wittels, Olusola A Ajilore, Joshua M Smyth, Jun Ma

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04524104 (Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 22% 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.

NCT04524104 nacompletednot on this map

Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults With Emotional Distress (Phase 1)

TypeinterventionalSponsorUniversity of Illinois at ChicagoRan2021 to 2022Enrolled63ConditionsDepression, AnxietyArmsLumen Treatment
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

9 authors at 4 institutions in 1 country.

Nan Lv *Department of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID 0000-0003-2063-3377
Thomas Kannampallil *Department of Anesthesiology, Washington University, St. Louis, MO, United States.ORCID 0000-0003-4119-4836
Lan XiaoDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, United States.ORCID 0000-0002-1265-7494
Corina R RonnebergDepartment of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID 0000-0001-8105-1886
Vikas KumarDepartment of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID 0000-0002-5490-7252
Nancy E WittelsDepartment of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID 0000-0002-0778-2573
Olusola A AjiloreDepartment of Psychiatry, University of Illinois Chicago, Chicago, IL, United States.ORCID 0000-0003-0737-0437
Joshua M Smyth *Department of Psychology, The Ohio State University, Columbus, OH, United States.ORCID 0000-0002-0904-5390
Jun Ma *Department of Medicine, University of Illinois Chicago, Chicago, IL, United States.ORCID 0000-0001-7996-6454
University of Illinois Chicago · USStanford University · USThe Ohio State University · USWashington University in St. Louis · US

Funding

Study of a PST-Trained Voice-Enabled Artificial Intelligence Counselor (SPEAC) for Adults with Emotional DistressR61MH119237 · NIMH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI AJILORE, OLUSOLA A., MA, JUN · 2020 to 2020
$2.1M
NIMH NIH HHS R61 MH119237
6 · The paper itself

Abstract

backgroundThe quality of user interaction with therapeutic tools has been positively associated with treatment response; however, no studies have investigated these relationships for voice-based digital tools.

objectiveThis study evaluated the relationships between objective and subjective user interaction measures as well as treatment response on Lumen, a novel voice-based coach, delivering problem-solving treatment to patients with mild to moderate depression or anxiety or both.

methodsIn a pilot trial, 42 adults with clinically significant depression (Patient Health Questionnaire-9 [PHQ-9]) or anxiety (7-item Generalized Anxiety Disorder Scale [GAD-7]) symptoms or both received Lumen, a voice-based coach delivering 8 problem-solving treatment sessions. Objective (number of conversational breakdowns, ie, instances where a participant's voice input could not be interpreted by Lumen) and subjective user interaction measures (task-related workload, user experience, and treatment alliance) were obtained for each session. Changes in PHQ-9 and GAD-7 scores at each ensuing session after session 1 measured the treatment response.

resultsParticipants were 38.9 (SD 12.9) years old, 28 (67%) were women, 8 (19%) were Black, 12 (29%) were Latino, 5 (12%) were Asian, and 28 (67%) had a high school or college education. Mean (SD) across sessions showed breakdowns (mean 6.5, SD 4.4 to mean 2.3, SD 1.8) decreasing over sessions, favorable task-related workload (mean 14.5, SD 5.6 to mean 17.6, SD 5.6) decreasing over sessions, neutral-to-positive user experience (mean 0.5, SD 1.4 to mean 1.1, SD 1.3), and high treatment alliance (mean 5.0, SD 1.4 to mean 5.3, SD 0.9). PHQ-9 (P

conclusionsThe participants had fewer conversational breakdowns and largely favorable user interactions with Lumen across sessions. Conversational breakdowns were not associated with subjective user interaction measures or treatment responses, highlighting how participants adapted and effectively used Lumen. Individuals experiencing higher treatment alliance had greater improvements in depression and anxiety. Understanding treatment alliance can provide insights on improving treatment response for this new delivery modality, which provides accessibility, flexibility, comfort with disclosure, and cost-related advantages compared to conventional psychotherapy.

trial registrationClinicalTrials.gov NCT04524104; https://clinicaltrials.gov/study/NCT04524104.

Indexed as

DepressionVoiceAdultAnxietyAnxiety DisordersChildFemaleHumansMalePilot Projectsanxietydepressiontreatment alliancetreatment responseuser interactionvoice assistant

Identifiers

PMID37930781
PMCPMC10660207
OpenAlexW4388423411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.