Evidence map›Paper›PMID 41945899›Full record

ArticleJMIR formative research2026

Real-World Data From a Group Parent Management Training Program Enhanced Using Artificial Intelligence: Qualitative Study.

Carlos Felipe Rivera-Cepeda, Blanca S Pineda, Daniella Vaclavik, Daniel M Bagner, Antonio Y Hardan, Andrea Abadi, Karin Mostovoy, Eduardo L Bunge

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Carlos Felipe Rivera-CepedaDepartment of Psychology, Universidad Santo Tomás, Temuco, Chile.ORCID 0009-0001-8154-7555
Blanca S PinedaInstitute for International Internet Interventions for Health, Palo Alto University, Palo Alto, CA, United States.ORCID 0000-0002-6719-9355
Daniella VaclavikCenter for Children and Families, Florida International University, Miami, FL, United States.ORCID 0000-0002-6127-6487
Daniel M BagnerCenter for Children and Families, Florida International University, Miami, FL, United States.ORCID 0000-0002-9918-9311
Antonio Y HardanDepartment of Behavioral Sciences, Stanford University Medical Center, Stanford University, Stanford, CA, United States.ORCID 0000-0002-9860-8625
Andrea AbadiFundación INECO, Buenos Aires, Argentina.ORCID 0009-0000-7535-9497
Karin MostovoyDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.ORCID 0000-0001-8011-5278
Eduardo L BungeDepartment of Psychology, Palo Alto University, Palo Alto, CA, United States.ORCID 0000-0002-1487-7618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParent management training (PMT) is an evidence-based intervention for children with disruptive behavior problems. However, access to care is often limited by cost, availability of clinicians, scheduling, and transportation barriers. Integrating artificial intelligence (AI) into group PMT may improve accessibility, personalization, and adherence, while preserving therapeutic quality.

objectiveThis study explored caregivers' experiences with a hybrid PMT program that combined live therapist-led group sessions with asynchronous support from Pat, an AI conversational agent designed to augment the therapists' support to caregivers.

methodsA total of 88 caregivers of children aged 3-14 years (mean 7.98, SD 2.45 years) from Argentina and Paraguay participated in eight weekly online group sessions led by human therapists and supplemented by Pat. Caregivers were asked to provide the net promoter score (NPS) and their perceived contribution of their experience in remote group sessions and with Pat. Caregiver perspectives were analyzed using thematic analysis by multiple coders with consensus and interrater reliability assessment.

resultsThe average NPS was 76.92, indicating excellent satisfaction. Regarding participants' perceptions of the overall program, the most frequent theme was useful strategies (73/202, 36.1%), reflecting the value placed on clear, structured, and practical tools to address everyday parenting challenges. Most comments about Pat were positive (156/164, 95.1%), particularly highlighting its 24/7 accessibility and constant availability (69/164, 42.1%). Recommendations for improvement mainly focused on enhancing the user experience and incorporating additional functionalities. Regarding perceived contribution to progress, caregivers attributed, on average, 61% to Pat and 46% to the group sessions.

conclusionsCombining therapist-led PMT group sessions with AI support appears feasible, acceptable, and valued by caregivers and may expand reach without sacrificing quality. Overall, caregivers valued the useful strategies and the professional and peer support and reported positive changes. Regarding Pat, the most valued aspect is the constant and immediate support. This model integrates human expertise with the accessibility and continuity provided by AI, reducing barriers, such as time, cost, and clinician availability.

Indexed as

Artificial IntelligenceParentsAdolescentAdultArgentinaChildChild, PreschoolFemaleHumansMaleQualitative Researchartificial intelligenceconversational agentdisruptive behaviorhybrid interventionparent management training

Identifiers

PMID41945899
PMCPMC13100577

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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.