Evidence map›Paper›PMID 37074948›Full record

ArticleJMIR formative research2023

Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors.

Ian Stewart, Charles Welch, Lawrence An, Ken Resnicow, James Pennebaker, Rada Mihalcea

Registry-linked trialAbstract 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 NCT05949840 (Expressive Interviewing Agents to Support Health-Related Behavior Change), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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.

NCT05949840 nacompletednot on this map

Expressive Interviewing Agents to Support Health-Related Behavior Change: Randomized Controlled Study of COVID-19 Behaviors

TypeinterventionalSponsorUniversity of MichiganRan2021 to 2021Enrolled151ConditionsMental StressArmsExpressive Interviewing
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Ian StewartSchool of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-6492-9199
Charles WelchDepartment of Mathematics and Computer Science, University of Marburg, Marburg, Germany.ORCID https://orcid.org/0000-0002-3489-2882
Lawrence AnCenter for Health Communications Research, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0001-9861-1800
Ken ResnicowSchool of Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0003-1416-9627
James PennebakerDepartment of Psychology, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-9091-214X
Rada MihalceaSchool of Computer Science and Engineering, University of Michigan, Ann Arbor, MI, United States.ORCID https://orcid.org/0000-0002-0767-6703

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundExpressive writing and motivational interviewing are well-known approaches to help patients cope with stressful life events. Although these methods are often applied by human counselors, it is less well understood if an automated artificial intelligence approach can benefit patients. Providing an automated method would help expose a wider range of people to the possible benefits of motivational interviewing, with lower cost and more adaptability to sudden events like the COVID-19 pandemic.

objectiveThis study presents an automated writing system and evaluates possible outcomes among participants with respect to behavior related to the COVID-19 pandemic.

methodsWe developed a rule-based dialogue system for "Expressive Interviewing" to elicit writing from participants on the subject of how COVID-19 has impacted their lives. The system prompts participants to describe their life experiences and emotions and provides topic-specific prompts in response to participants' use of topical keywords. In May 2021 and June 2021, we recruited participants (N=151) via Prolific to complete either the Expressive Interviewing task or a control task. We surveyed participants immediately before the intervention, immediately after the intervention, and again 2 weeks after the intervention. We measured participants' self-reported stress, general mental health, COVID-19-related health behavior, and social behavior.

resultsParticipants generally wrote long responses during the task (53.3 words per response). In aggregate, task participants experienced a significant decrease in stress in the short term (~23% decrease, P<.001) and a slight difference in social activity compared with the control group (P=.03). No significant differences in short-term or long-term outcomes were detected between participant subgroups (eg, male versus female participants) except for some within-condition differences by ethnicity (eg, higher social activity among African American people participating in Expressive Interviewing vs participants of other ethnicities). For short-term effects, participants showed different outcomes based on their writing. Using more anxiety-related words was correlated with a greater short-term decrease in stress (r=-0.264, P<.001), and using more positive emotion words was correlated with a more meaningful experience (r=0.243, P=.001). As for long-term effects, writing with more lexical diversity was correlated with an increase in social activity (r=0.266, P<.001).

conclusionsExpressive Interviewing participants exhibited short-term, but not long-term, positive changes in mental health, and some linguistic metrics of writing style were correlated with positive change in behavior. Although there were no significant long-term effects observed, the positive short-term effects suggest that the Expressive Interviewing intervention could be used in cases in which a patient lacks access to traditional therapy and needs a short-term solution.

trial registrationClincaltrials.gov NCT05949840; https://www.clinicaltrials.gov/study/NCT05949840.

Indexed as

automated writingbehavior changecounselingCOVID-19dialogue systemsexpressive writingmental healthmotivational interviewingpsychological healthstresstext analysiswriting system

Identifiers

PMID37074948
PMCPMC10395645

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.