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Parenting Journal · Volume 3 · Issue 1 · Licensed source edition

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

Originally published 2026-04-07 · JMIR Formative Research
JMIR Publications Inc. · DOI 10.2196/91841 ↗

CollaborationQualitative analysis of real-world hybrid parenting programCC BY 4.0
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AI / system type

Generative AI/LLM; RAG and therapist-supervised PMT

Direct parenting evidence

Directly addresses parents or caregiving, including parent studies, syntheses and audits of parenting advice.

The AI connection

Pat uses retrieval-augmented generation, guardrails and therapist review within parent management training.

Why this reading matters

Provides concrete caregiver accounts of a human-AI delivery model and its limitations.

Editorial reading guide · Collaboration

What help should come from a chatbot and what should stay with our human therapist?

Maps to Collaboration through maintaining therapist oversight while parents obtain between-session support.

Study context

88 caregivers in Argentina and Paraguay receiving eight weekly therapist-led sessions plus Pat

Age / stage: Children 3–14 years; caregivers 34–65

Read with three questions

  1. What did parents value about Pat’s availability?
  2. How did clinicians supervise the AI-supported program?
  3. Why are perceived contribution percentages not causal estimates?

Keep the limits in view

Self-report without a control or pre/post child-behavior assessment; selected digitally connected sample. Same 88-caregiver dataset as PMC13488916.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

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Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Carlos Felipe Rivera-Cepeda; Blanca S Pineda; Daniella Vaclavik; Daniel M Bagner; Antonio Y Hardan; Andrea Abadi; Karin Mostovoy; Eduardo L Bunge; Ivan Steenstra; Amaryllis Mavragani; Yexinyu Yang (2026). Real-World Data From a Group Parent Management Training Program Enhanced Using Artificial Intelligence: Qualitative Study JMIR Formative Research. https://doi.org/10.2196/91841

Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.