Evidence map›Paper›PMID 41396603›Full record

Trial reportJAMA network open2025

Feasibility of Digital Augmentation of Parent-Child Interaction Therapy: A Randomized Clinical Trial.

Magdalena Romanowicz, Maria T Saliba, Angelina R Wilton, Juan F Garzon Hincapie, Kyle S Croarkin, Christina T Saliba, Allison LeMahieu, Noelle Drapeau, Brandi Schlichting, Michelle Skime and 5 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05077722 (PISTACHIO), 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.

NCT05077722 nacompletednot on this map

PISTACHIO (Preemption Of Disruptive Behavior In Children) Real-Time Monitoring Of Sleep And Behavior Of Children 3-7-Year-Old Receiving Parent Child Interaction Therapy Augmented With Artificial Intelligence Randomized Controlled Trial

TypeinterventionalSponsorMayo ClinicRan2022 to 2023Enrolled100ConditionsDisruptive Behavior, Attention-deficit Hyperactivity, Oppositional Defiant DisorderArmsGarmin
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

15 authors.

Magdalena RomanowiczDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Maria T SalibaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Angelina R WiltonDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.
Juan F Garzon HincapieDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Kyle S CroarkinDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.
Christina T SalibaDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota.
Allison LeMahieuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Noelle DrapeauDepartment of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee.
Brandi SchlichtingDepartment of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee.
Michelle SkimeDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
William V BoboDepartment of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee.
Jennifer L Vande VoortDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Julia ShekunovDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Paul E CroarkinDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.
Arjun P AthreyaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The potential utility of real-time digital therapeutics that identify impending behavioral outbursts to proactively apply evidence-based interventions for managing children with disruptive behavior disorder has not been tested. Objectives: To evaluate feasibility and adherence of a digitally augmented, real-time, proactive behavioral intervention (smartwatch) for children with disruptive behaviors. Design, Setting, and Participants: This randomized clinical trial was conducted between March 1, 2022, and December 31, 2023, at Mayo Clinic in Rochester, Minnesota. The study enrolled children aged 3 to 7 years with externalizing behavior problems rated above the clinically significant range (I score ≥120; T score ≥60) on the Eyberg Child Behavior Inventory (ECBI). Interventions: Twelve weekly sessions of parent-child interaction therapy (PCIT) (treatment as usual [TAU] arm) vs artificial intelligence (AI)-enhanced PCIT augmented with real-time behavioral outburst alerts (PCIT-AI arm). Main Outcomes and Measures: The primary outcome was achieving the a priori feasibility benchmark set at greater than 70% for both completion of PCIT sessions and daily smartwatch wear. Parental reaction time to behavior prompts was measured in seconds. Secondary outcomes were percentage changes in ECBI and Pediatric Sleep Questionnaire scores. Behavioral outburst duration was examined based on parental logs of start and end times of observed tantrums using a smartphone application. Result: This study enrolled 50 children (median [IQR] age, 5.0 [4.0-6.0] years; 34 [68%] male and 16 [32%] female; 28 randomized to the PCIT-AI arm and 22 to the PCIT-TAU arm). Of these children, 37 (74%; 21 in the PCIT-AI arm and 16 in the PCIT-TAU arm) completed PCIT, with children wearing the watch a median (IQR) 75.7% (67.8%-82.9%) of the time, thus achieving the feasibility benchmark (primary outcome). Median (IQR) response time to behavior prompts in the PCIT-AI arm was 3.65 (2.07-7.08) seconds. Assessing between-group differences, there was no statistically significantly greater numerical improvement in ECBI-intensity percentage change (13.86%; 95% CI, -1.41% to 29.14%), ECBI-problem percentage change subscale scores (38.59%; 95% CI, -1.22% to 78.40%), or absolute change in Pediatric Sleep Questionnaire scores (-0.16; 95% CI, -1.85 to 1.53) with the PCIT-AI arm than with the PCIT-TAU arm. Children in the PCIT-AI arm had significantly shorter mean (SD) tantrum durations (10.4 [20.8] minutes vs 22.1 [30.0] minutes; P < .001) and lower odds of tantrums lasting for 15 minutes or more (odds ratio, 3.66; 95% CI, 2.72-4.95). Conclusions and Relevance: In this randomized clinical trial, both recruitment and technology feasibility benchmarks were achieved. The findings inform the design of fully powered efficacy study of wearable, digitally augmented PCIT for children with disruptive behaviors. Trial Registration: ClinicalTrials.gov Identifier: NCT05077722.

Indexed as

Behavior TherapyChild Behavior DisordersParent-Child RelationsChildChild, PreschoolFeasibility StudiesFemaleHumansMale

Identifiers

PMID41396603
PMCPMC12706678

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.