Evidence map›Paper›PMID 37756047›Full record

ArticleJMIR formative research2023

Engagement, Satisfaction, and Mental Health Outcomes Across Different Residential Subgroup Users of a Digital Mental Health Relational Agent: Exploratory Single-Arm Study.

Valerie L Forman-Hoffman, Maddison C Pirner, Megan Flom, Andrew Kirvin-Quamme, Emily Durden, Jennifer A Kissinger, Athena Robinson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05672745 (An Open-label Pilot Study to Learn How the Phenotypical Characteristics of Woebot Users Are Related to Clinical Outcomes), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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.

NCT05672745 nacompletednot on this map

An Open-label Pilot Study to Learn How the Phenotypical Characteristics of Woebot Users Are Related to Clinical Outcomes

TypeinterventionalSponsorWoebot HealthRan2022 to 2022Enrolled256ConditionsTo Understand the Characteristics of Digital Mental Health Intervention Users as They Relate to Mental Health OutcomesArmsWB-LIFE
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 1 institution in 1 country.

Valerie L Forman-HoffmanWoebot Health, San Francisco, CA, United States.ORCID 0000-0001-7885-8873
Maddison C PirnerWoebot Health, San Francisco, CA, United States.ORCID 0000-0002-3993-0606
Megan FlomWoebot Health, San Francisco, CA, United States.ORCID 0000-0002-4896-1009
Andrew Kirvin-QuammeWoebot Health, San Francisco, CA, United States.ORCID 0000-0002-1836-6575
Emily DurdenWoebot Health, San Francisco, CA, United States.ORCID 0000-0003-3793-5240
Jennifer A KissingerWoebot Health, San Francisco, CA, United States.ORCID 0000-0002-4542-6326
Athena RobinsonWoebot Health, San Francisco, CA, United States.ORCID 0000-0002-1393-1563
Wolters Kluwer Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental illness is a pervasive worldwide public health issue. Residentially vulnerable populations, such as those living in rural medically underserved areas (MUAs) or mental health provider shortage areas (MHPSAs), face unique access barriers to mental health care. Despite the growth of digital mental health interventions using relational agent technology, little is known about their use patterns, efficacy, and favorability among residentially vulnerable populations.

objectiveThis study aimed to explore differences in app use, therapeutic alliance, mental health outcomes, and satisfaction across residential subgroups (metropolitan, nonmetropolitan, or rural), MUAs (yes or no), and MHPSAs (yes or no) among users of a smartphone-based, digital mental health intervention, Woebot LIFE (WB-LIFE). WB-LIFE was designed to help users better understand and manage their moods and features a relational agent, Woebot, that converses through text-based messages.

methodsWe used an exploratory study that examined data from 255 adults enrolled in an 8-week, single-arm trial of WB-LIFE. Analyses compared levels of app use and therapeutic alliance total scores as well as subscales (goal, task, and bond), mental health outcomes (depressive and anxiety symptoms, stress, resilience, and burnout), and program satisfaction across residential subgroups.

resultsFew study participants resided in nonmetropolitan (25/255, 10%) or rural (3/255, 1%) areas, precluding estimates across this variable. Despite a largely metropolitan sample, nearly 39% (99/255) resided in an MUA and 55% (141/255) in an MHPSA. There were no significant differences in app use or satisfaction by MUA or MHPSA status. There also were no differences in depressive symptoms, anxiety, stress, resilience, or burnout, with the exception of MUA participants having higher baseline depressive symptoms among those starting in the moderate range or higher (Patient Health Questionnaire-8 item scale≥10) than non-MUA participants (mean 16.50 vs 14.41, respectively; P=.01). Although working alliance scores did not differ by MHPSA status, those who resided in an MUA had higher goal (2-tailed t

conclusionsDespite the study not recruiting many participants from rural or nonmetropolitan populations, sizable proportions resided in an MUA or an MHPSA. Analyses revealed few differences in app use, therapeutic alliance, mental health outcomes (including baseline levels), or satisfaction across MUA or MHPSA status over the 8-week study. Findings suggest that vulnerable residential populations may benefit from using digital agent-guided cognitive behavioral therapy.

trial registrationClinicalTrials.gov NCT05672745; https://clinicaltrials.gov/study/NCT05672745.

Indexed as

adoptionanxietyCBTchatbotcognitive behavioral therapyconversational agentdepressiondigital healthmedically underserved areamental healthmhealthmobile appmobile healthmobile phonemoodpsychotherapyrelational agentruralsatisfactionsmartphonesmartphone appunderservedusagevulnerable

Identifiers

PMID37756047
PMCPMC10568381
OpenAlexW4385742369

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.