Evidence map›Paper›PMID 38116099›Full record

ArticleFrontiers in digital health2023

Qualitative analysis of mental health conversational agents messages about autism spectrum disorder: a call for action.

S Aghakhani, N Carre, K Mostovoy, R Shafer, K Baeza-Hernandez, G Entenberg, A Testerman, E L Bunge

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167056 (Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer), 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
–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.

NCT07167056 narecruitingnot on this mapstarted 2025, after this paper: background citation

Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer

TypeinterventionalSponsorCase Comprehensive Cancer CenterRan2025 to 2027Enrolled60ConditionsCancerArmsStandard of Care Psychotherapy, WYSA App
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  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

8 authors.

S AghakhaniDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.
N CarreDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.
K MostovoyDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.
R ShaferDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.
K Baeza-HernandezDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.
G EntenbergFundacion ETCI, Buenos Aires, Argentina.
A TestermanDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.
E L BungeDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conversational agents (CA's) have shown promise in increasing accessibility to mental health resources. This study aimed to identify common themes of messages sent to a mental health CA (Wysa) related to ASD by general users and users that identify as having ASD. Methods: This study utilized retrospective data. Two thematic analyses were conducted, one focusing on user messages including the keywords (e.g., ASD, autism, Asperger), and the second one with messages from users who self-identified as having ASD. Results: For the sample of general users, the most frequent themes were "others having ASD," "ASD diagnosis," and "seeking help." For the users that self-identified as having ASD ( Conclusion: Users shared their experiences and emotions surrounding ASD with a mental health CA. Users asked about the ASD diagnosis, sought help, and reported negative reactions from others. CA's have the potential to become a source of support for those interested in ASD and/or identify as having ASD.

Indexed as

autism spectrum disorderchatbotsdigital interventionsdigital mental healthtechnology

Identifiers

PMID38116099
PMCPMC10728644

What OpenQuestion holds

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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.