Accessibility settings

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87917, first published .
Alternative text does not exist

“Daily Growth” Parenting Program Delivered via Ecological Momentary Intervention: Pilot Randomized Controlled Trial of a Prototype

“Daily Growth” Parenting Program Delivered via Ecological Momentary Intervention: Pilot Randomized Controlled Trial of a Prototype

1School of Psychology, Faculty of Health, Deakin University, 221 Burwood Hwy, Burwood, Victoria, Australia

2School of Communication and Creative Arts, Faculty of Arts and Education, Deakin University, Burwood, Victoria, Australia

3Department of Digital Engagement, Deakin University, Burwood, Victoria, Australia

Corresponding Author:

Elizabeth Mary Westrupp, PhD


Background: Despite evidence showing that parenting interventions reduce rates of child mental health problems, their reach and engagement remain low. Daily Growth is a digital parenting program designed to improve parent and child emotion regulation using an ecological momentary intervention (EMI) approach. Daily Growth sends twice-daily prompts and delivers 3-minute videos tailored to a recent parenting situation, offering 2 program types (Emotion Coaching and Active Play) to meet different parent preferences. EMI has rarely been tested with parenting programs.

Objective: This pilot aimed to assess the feasibility and acceptability of the EMI design and a prototype of Daily Growth, offering the 2 programs via 10 of 60 planned videos.

Methods: A pilot randomized controlled trial recruited 189 Australian parents of children aged 2‐4 years, randomized to either intervention (n=94) or active control (n=95). Participants completed a 25-minute online survey at baseline and at conclusion of the program period. In the intervening 2 weeks, participants received twice-daily 1-minute pre-EMI surveys via email. Participants who reported any parent or child negative affect or emotion dysregulation received a resource. Participants in the intervention condition were randomized in the moment to receive a 3-minute Emotion Coaching or Active Play video, while participants in the control condition received a link to a parenting website. Participants were sent a 1-minute post-EMI survey. For both conditions, parenting support was tailored to 1 of 5 predefined parenting situations.

Results: Overall, 71% (135/189) of participants completed the 2-week post survey, and over two-thirds completed at least half of the daily pre-EMI surveys. Despite technical issues, most participants would recommend Daily Growth to other parents (53/67, 79%), use the skills learned (46/67, 69%), reported it as easy to use (45/67, 67%), and were satisfied with Daily Growth (40/67, 60%).

Conclusions: This pilot evaluated whether brief EMI resources could engage parents in real time. Findings suggest that the Daily Growth prototype was feasible and well received, supporting further implementation in a larger trial.

Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12624001410549; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=388307

JMIR Pediatr Parent 2026;9:e87917

doi:10.2196/87917

Keywords



Background

Emotion regulation skills influence all aspects of human functioning and are central in the etiology of mental health disorders [1,2]. Parents play a vital role in the development of their child’s emotion regulation skills [3,4], and both parenting beliefs and practices are modifiable. While parenting interventions demonstrate strong effectiveness in improving child emotion regulation and reducing child mental health problems [5,6], their population reach has been extremely low (<10% population) [7,8]. This limited reach disproportionately affects fathers, single parents, and Aboriginal and Torres Strait Islander, migrant, culturally and linguistically diverse, and rural or remote families [8-11]. In response, several parenting interventions have transitioned to online delivery formats to increase access. More recently, smartphone-based parenting apps have further expanded access [12-17]. Online and app-based programs have the potential to make support more accessible, cost-efficient, and anonymous, and have been welcomed by users [13-16,18-20]. However, despite demonstrated efficacy, digital parenting interventions continue to face hurdles such as low uptake, engagement, and adherence [21-24], suggesting that online delivery alone does not fully address barriers to uptake and engagement. At the same time, many parenting programs focus on child behavior change rather than emotion regulation [25-27] and are targeted toward school-aged children or adolescents, despite early childhood representing a critical time for children’s emotional development [28]. Together, these limitations point to a need for parenting programs that address both how support is delivered (moving beyond access to sustained engagement) and what is delivered, with a focus on emotion regulation in early childhood.

This Study: Daily Growth

This study is part of a larger research project developing and testing Daily Growth, a personalized, stand-alone parenting app for parents of children aged 2‐4 years. Daily Growth aims to enhance parent emotion regulation and emotion-related parenting skills, ultimately supporting children’s emotion regulation and reducing rates of child mental illness. To address barriers to reach, access, and engagement in population-level parenting programs, the platform integrates novel technological approaches successfully applied in adult health settings [29-32]. In collaboration with parents, carers, and community practitioners, we co-designed Daily Growth using the Design Mapping framework to deliver tailored, in-the-moment parenting support using an ecological momentary intervention (EMI) design. The program offers microinterventions (brief 3-minute video resources) matched to specific parenting situations and combines 2 evidence-based parenting approaches: Emotion Coaching and Active Play.

EMIs deliver brief, frequent support via smartphone apps, aiming to seamlessly integrate into daily life [33,34]. In adult mental health settings, EMI approaches have demonstrated improvements in adherence and reductions in mental health symptoms (eg, gambling, stress, anxiety, and body satisfaction), while requiring less time and fewer resources than traditional interventions [31,32,35,36]. Despite this promise, EMI designs have rarely been tested within parenting interventions [13,37,38]. Of the existing studies, one targeted homeless adolescent mothers (n=49) and demonstrated high acceptability and sustained engagement, with participants reporting that the technology supported parent emotion regulation during stressful parenting moments [13]. A second study was a small feasibility study (n=33) exploring daily reflective questions delivered via ecological momentary assessment (EMA) to increase parental awareness of child emotions and support in-the-moment emotion coaching, suggesting that parents can sustain engagement with daily prompts, and that doing so can increase their attention to child emotions in everyday life [37]. A third study has proposed, but not yet tested, an EMI-based mindfulness intervention for parents of children with autism spectrum disorder (n=670) [38]. No studies to date have examined EMI-based parenting programs that are population-based, target the early childhood period, or specifically aim to build children’s emotion regulation skills, and it remains unclear whether this approach will be feasible, engaging, and relevant for parents navigating busy daily routines. A further limitation of previous parenting interventions has been their one-size-fits-all approach, which does not align with evidence that parents vary in the situations and approaches that may be most relevant [20,39-41] and beneficial to them [42]. Tailoring brief microinterventions to parents’ needs may increase the relevance of parenting support and encourage sustained engagement over time. Additionally, collaborating with end users in mental health research has been shown to improve program relevance, engagement, and effectiveness [43]. Integrating tailoring with a co-design approach may therefore strengthen both the relevance and usability of digital parenting support.

Daily Growth was developed according to these principles, delivering brief, tailored resources informed by input from parent end users and professionals. It provides in-the-moment support through 2 distinct programs, recognizing that parents support child emotion regulation through multiple pathways. Emotion Coaching is based on Gottman et al.’s 5 steps [44,45]: noticing emotions, viewing them as teaching opportunities, responding with empathy, labeling emotions, and problem solving. Daily Growth adds a sixth step (reflect), encouraging parents to pause when calm, consider their responses, and model repair. Active Play offers a nonverbal, embodied approach suited to parents less comfortable with emotional talk. Drawing on evidence that physical activity and imaginative play support mood regulation, calm the nervous system, and strengthen executive function tied to emotion regulation [46-48], the program provides practical play-based activities to support parent-child connection and emotion regulation.

This pilot study evaluates the feasibility and acceptability of the prototype version of Daily Growth and its EMI delivery approach, delivered over 2 weeks, compared with an active control condition. Specifically, we aimed to assess:

  1. The feasibility of the prototype version of Daily Growth in terms of parent recruitment rates, retention, and flow through all stages of the study, as well as parent engagement via completion rates of the baseline survey, 2-week post survey, and daily prompts.
  2. The acceptability of the 10 prototype video resources and the program delivery method via twice-daily pre- and post-EMI prompts.
  3. The descriptive efficacy of the prototype version of the Daily Growth program in improving parent and child emotion regulation, mental health, and emotion coaching parenting behaviors in the moment and postintervention compared with the control condition.

We anticipate that predefined feasibility benchmarks will be met, including meeting the target of recruiting at least 150 participants, attrition below 30%, and average completion of at least 50% of pre- and post-EMI prompts. This engagement rate is informed by rates reported in parenting EMI and EMA studies, in which 70% of parents engaged with at least 80% of daily EMA prompts in a general parenting population [37] and approximately 40% of prompts were completed among a vulnerable population of homeless adolescent mothers [13]. Acceptability is considered high if 70% of intervention participants indicate that they are satisfied with the program, informed by satisfaction rates reported in parenting EMA or EMI studies [13,37]. As this is a pilot trial, the primary focus is on feasibility and acceptability rather than efficacy testing. Descriptive outcome data are reported to assess the feasibility of the outcome measurement protocol, including the sensitivity of measures to detect change and the completeness of data collection, in preparation for the definitive trial [49,50].


Research Design

The study design is demonstrated in Figure 1. This study used a pilot randomized controlled trial design with a 1:1 allocation ratio to evaluate the feasibility, acceptability, and descriptive efficacy of a prototype version of the Daily Growth parenting program. The trial was conducted fully online. Participants completed baseline measures via Qualtrics (Qualtrics LLC), followed by a 2-week EMI period during which they received twice-daily pre- and-post-EMI prompts delivered via email. Participants completed a 2-week postprogram survey at the conclusion of the EMI period.

Figure 1. Overview of trial design and ecological momentary intervention (EMI) schedule. Pre-post–EMI=brief,<1-minute survey before or after ecological momentary intervention. Platform O=Platform delivering the Daily Growth prototype. EMI: ecological momentary intervention.

Ethical Considerations

Study procedures were approved by the Deakin University Human Ethics Advisory Group (HEAG-H 188_2022). Participants provided informed consent online via a checkbox before participation to indicate their consent to participate and be contacted about future research. Participants received a Plain Language Statement outlining the study procedures and purpose, estimated duration of each study component, their right to withdraw at any time, the policy regarding data storage, and contact details for the principal investigator for questions or concerns.

Participants and Recruitment

Eligibility criteria included residing in Australia, aged 18 years and older, parent or carer of a child aged 2‐4 years, English proficiency, internet access, and basic digital literacy (able to receive emails and complete online surveys). Recruitment methods included contacting parents from a registry of participants from related studies who had previously consented to be contacted for future research, posting in Facebook parenting groups, and running paid Facebook and Instagram advertisements. Parents were reimbursed with Coles gift vouchers based on EMI survey completion rates (50%‐69%=AU$20 (AU$1=US $0.67 as of March 18, 2023); 70%‐84%=AU$30; and 85%‐100%=AU$50). No formal power calculation was conducted as the pilot aimed to test feasibility rather than efficacy. A target of 150 participants was set to ensure sufficient data for feasibility assessment. The final sample comprised 189 parents and caregivers (94 intervention, 95 control).

Procedure

Participants registered on the online platform “Platform O” and completed a baseline survey via Qualtrics (Qualtrics LLC), an online survey platform. The baseline survey comprised 224 items, taking approximately 25 minutes to complete. The purpose of the questionnaire was to collect demographic information and to assess parent and child emotion regulation, mental health, and emotion coaching parenting practices. No completeness checks were included; however, participants who did not complete the demographics section were removed from the dataset. An attention check was included, and respondents could not review or change their answers. The research team regularly monitored survey responses for suspicious submissions (eg, duplicate entries, bot responses, and participants located outside of Australia) and excluded illegitimate participants. Following completion of the baseline survey, participants were randomly assigned to either the control or intervention condition on a 1:1 basis using Qualtrics’ “Randomiser” feature on completion of the baseline survey. Participants were blinded to their allocation but research team members were not. Participants received their first EMI survey, assessing momentary parent and child affect and emotion regulation, the day after completing the baseline survey. Over the subsequent 14 days, participants received twice-daily email prompts to complete a 1-minute pre-EMI survey at 7:30 AM and 7:30 PM, followed by a 1-minute post-EMI survey prompt at 7:45 AM or 7:45 PM. At the end of the 2-week program period, participants were invited to complete a 2-week post survey via Qualtrics.

Daily Growth Program and Control Condition

Daily Growth was developed using an iterative co-design process involving parents and professionals. Guided by a novel Design Mapping framework [51], development was informed by (1) an analysis of online parenting discussions to identify common parenting challenges [52], (2) qualitative interviews with parents to understand current use of active play as a parenting strategy [53], (3) structured workshops conducted to co-design program content and delivery [54], (4) ongoing consultation with an advisory group consisting of parents and professionals, and (5) a technical EMA pilot to optimize the timing of prompts [55]. The present pilot evaluated a subset of the full Daily Growth program to assess the feasibility, acceptability, and descriptive efficacy of the program prior to development of the final 6-week smartphone app.

Participants allocated to the intervention condition received access to a prototype version of Daily Growth delivered via the online platform Platform O. Daily Growth is a parenting program designed for parents of children aged 2‐4 years, delivering brief microinterventions using an EMI approach. The prototype included 10 brief 3-minute video resources (5 Emotion Coaching and 5 Active Play) tailored to 5 different parenting situations (mealtime, bedtime, getting dressed, screen time, and sibling conflict). Across the 14-day intervention period, all participants received twice-daily prompts linking to a 1-minute pre-EMI survey. Participants who reported parent or child negative emotion or emotion dysregulation were eligible to receive a tailored parenting resource. Eligible participants selected 1 of 5 difficult parenting situations they had recently experienced or were interested in learning about. Participants in the intervention group were then randomized in the moment to receive either an Emotion Coaching or Active Play video resource tailored to their selected situation. Following resource delivery, participants were prompted to complete a post-EMI survey assessing momentary parent and child affect and emotion regulation. Participants allocated to the active control condition were instead provided with a link to the Raising Children Network, an Australian government–supported parenting information website. The Raising Children Network provides high-quality, but general, parenting information and does not include brief tailored intervention strategies comparable with those delivered by the Daily Growth video resources. The full Daily Growth program currently in development will include 60 video resources delivered over 6 weeks via a custom-built smartphone app for iOS and Android, with twice-daily pre-EMI survey prompts delivered via app notifications [56].

Outcomes

Feasibility

Feasibility was assessed through recruitment, retention, and engagement measures. Recruitment was evaluated based on the ability to achieve the target sample size within the recruitment period. Enrolled participants were defined as those who completed at least the demographic portion of the baseline survey. We aimed for equal representation across child age groups and ≥25% fathers. Retention was measured by attrition rates between baseline and 2-week post surveys. We aimed for <30% attrition in the intervention condition, a benchmark informed by previous intervention studies [11,20,57-61]. Engagement was measured based on the proportion of completed prompts per participant and parent-reported barriers to participation. While EMA studies in adult mental health report close to an 80% average engagement [30,62], Daily Growth reflects the unique context of parenthood, providing flexible, light-touch support without being onerous or interrupting in-the-moment parenting. We therefore prioritized sustained participation over high response rates, targeting 50% pre-EMI completion (1 daily survey on average, providing support 2‐5 times weekly) and 50% post-EMI completion. Engagement and attrition were analyzed by socioeconomic status, gender, and migrant status, as these demographic variables have been associated with differential access to and engagement with parenting programs [9].

Acceptability

A 25-item user satisfaction measure combined 5-point scales (eg, “The Daily Growth program meets my needs”), multiple-choice questions (eg, “Which parenting resource did you prefer?”), and open-ended questions (eg, “What problems did you encounter while using the program?"). Items assessed content quality, resource design, research experience, perceived effectiveness, and overall program acceptability. The measure was administered at the end of the 2-week program as part of the 2-week post survey. Acceptability was considered high if the majority (>50%) of intervention participants found the program resources and design satisfactory.

Baseline and 2-Week Posturvey Outcome Measures

Study measures are presented in Table 1. The research team selected measures routinely used in large-scale population studies with evidence of good validity and reliability for assessing parent and child emotional and social functioning. The baseline and 2-week post survey collected demographic information and assessed parent and child emotion regulation, mental health, and emotion coaching parenting practices.

Table 1. Descriptive statistics (Cronbach α; mean, SD) for baseline and 2-week post survey measures.
ConstructMeasureSubscaleScaleItemsBaselinePost survey
Values, nα valueMean (SD)Values, nα valueMean (SD)
Child measures
Behavioral problemsMAP-DBa [63]Temper loss66189.912.01 (0.92)135.901.96 (0.87)
Behavioral problemsMAP-DB [63]Noncompliance64189.892.13 (1.00)135.882.17 (1.01)
Behavioral problemsMAP-DB [63]Aggression65189.881.10 (0.92)135.891.07 (0.92)
DepressionSMFQb [64]N/Ac313189.732.90 (2.61)133.793.17 (3.04)
AnxietySCASd [65]GAD and sep anxietye44189.713.16 (1.90)134.733.22 (1.93)
Emotion regulationEERBQf [66]Mindfulness72189.724.01 (1.56)134.714.56 (1.44)
Emotion regulationEERBQ [66]Verbal help-seeking73189.713.38 (1.43)134.783.91 (1.57)
Emotion regulationEERBQ [66]Verbal venting73189.743.81 (1.45)134.694.11 (1.33)
Emotion regulationEERBQ [66]Physical venting73189.782.79 (1.41)134.782.95 (1.45)
Emotion regulationEERBQ [66]Emotion reactivity76189.754.01 (1.00)134.733.91 (0.98)
Negative affectPANAS-C-Pg [67]Negative affect55189.828.84 (3.09)133.779.09 (2.89)
Parent measures
Emotion regulationDERSh [68]Total419189.9438.23 (13.92)133.9438.00 (13.35)
Emotion regulationDERS [68]Nonacceptancei43189.856.25 (3.01)133.876.28 (3.11)
Emotion regulationDERS [68]Goals43189.887.51 (3.11)133.867.47 (2.88)
Emotion regulationDERS [68]Impulse control difficulties46189.8811.25 (4.71)133.8811.46 (4.52)
Emotion regulationDERS [68]Strategies45189.899.59 (4.43)133.899.26 (4.13)
Emotion regulationDERS [68]Emotional clarity: lack of emotional clarity42189.893.66 (1.62)133.853.53 (1.48)
Psychological distressK6j [69]N/A46189.825.63 (4.11)133.815.71 (3.98)
AffectI-PANAS-SFk [70]Negative affect55189.799.25 (3.46)133.839.17 (3.69)
AffectI-PANAS-SF [70]Positive affect55189.7815.09 (3.71)133.8015.12 (4.00)
StressDASSl [71]Stress57189.8616.00 (8.76)133.8115.35 (7.73)
Emotion parentingmCTNES-SFn [72]Emotion dismissing712189.692.54 (0.80)133.722.57 (0.81)
Emotion parentingCTNES-SF [72]Emotion coaching79189.876.19 (0.82)133.916.22 (0.91)
Reflective functioningPRFQo [73]Prementalizing56189.531.75 (0.66)133.721.81 (0.79)
Reflective functioningPRFQ [73]Certainty about mental states56189.783.56 (1.11)133.773.59 (1.09)
Reflective functioningPRFQ [73]Interest and curiosity55189.765.28 (0.91)133.875.21 (0.96)
Emotion beliefspPBACEq [74]Anger66189.7825.06 (4.87)133.8324.97 (5.44)
Emotion beliefsPBACE [74]Control65189.7711.99 (4.41)133.7411.89 (4.16)
Emotion beliefsPBACE [74]Manipulation64189.899.96 (4.95)133.909.65 (5.00)
Emotion beliefsPBACE [74]Autonomy67189.8817.52 (6.63)133.8817.78 (6.53)
Emotion beliefsPBACE [74]Stability64189.6411.95 (3.65)133.7111.53 (3.78)
Family climaterSEFQs [75]Positive emotion expression911189.957.19 (1.59)133.947.27 (1.58)
Family climateSEFQ [75]Negative emotion expression912189.913.66 (1.44)133.903.56 (1.41)
Parental conflicttCCSu [76,77]Verbal conflict54189.862.49 (0.70)122.832.41 (0.68)
Parental conflictCCS [76,77]Physical conflict51189N/A0.23 (0.42)122N/A0.16 (0.37)

aMAP-DB: Multidimensional Assessment of Preschool Disruptive Behavior [63].

bSMFQ: Short Mood and Feelings Questionnaire [64].

cN/A: not applicable.

dSCAS: Spence Children Anxiety Scale [65].

eGAD and sep anxiety: Generalized anxiety disorder (3 items) and separation anxiety disorder (1 item) combined.

fEERBQ: Early Emotion Regulation Behavior Questionnaire [66].

gPANAS-C-P: Positive and Negative Affect Schedule for Children [67].

hDERS: Difficulties in Emotion Regulation Scale [68].

iNonacceptance: Nonacceptance of emotional responses.

jK6: Kessler Psychological Distress Scale [69].

kI-PANAS-SF: short-form International Positive and Negative Affect Scale [70].

lDASS: Depression, Anxiety and Stress Scale [71].

mEmotion parenting: emotion-related parenting.

nCTNES-SF: Coping with Toddlers Negative Emotions Scale—Short Form [72].

oPRFQ: Parental Reflective Functioning Questionnaire [73].

pEmotion beliefs: beliefs about children’s emotions.

qPBACE: Parents’ Beliefs About Children’s Emotions Questionnaire [74].

rFamily climate: family emotional climate.

sSEFQ: Self-Expressiveness in the Family Questionnaire [75].

tParental conflict: interparental conflict.

uCCS: Co-Parental Communications Scale [76,77].

EMI Survey Measures
Measures Overview

Momentary parent and child emotion dysregulation and negative affect were reported via twice-daily 1-minute pre- and post-EMI surveys at 7:30 AM and 7:30 PM. These prompts did not expire, and parents could respond at their convenience. The twice-daily EMI surveys were identical to each other except for 1 pre-EMI item asking about difficult parenting situations in the previous 24 hours. Item selection and the schedule for delivering survey prompts were informed by a previous EMA study identifying the most suitable state-based items for capturing in-the-moment parent and child emotion dysregulation and negative affect and times at which parents were most likely to respond to prompts [55]. If a participant scored at or above the predetermined cutoff value on any item of the pre-EMI survey, they were eligible to receive a resource. Eligibility thresholds were defined across 4 domains: parent negative affect (≥1), child negative affect (≥1 for anger and ≥2 for sadness), parent emotion dysregulation (≥1), and child emotion dysregulation (≥2). These thresholds were selected to indicate at least mild elevations in negative affect or emotion dysregulation, warranting in-the-moment support.

Parent and Child Affect

Parent and child negative affect were measured using 3 items drawn from the short-form International Positive and Negative Affect Schedule (I-PANAS-SF) [70] to capture momentary emotional states (“upset,” “angry,” and “sad”). Items included “Indicate to what extent your child feels this way right now” and “Indicate to what extent you feel this way right now.” Parents rated items on a 10-point scale from 1 (not at all) to 10 (extremely), reflecting how they or their child felt “right now, in this moment.” These state-based items were selected to align with the trait-based I-PANAS-SF included in the baseline and 2-week post surveys, enabling comparison between momentary and general affect. The resource eligibility thresholds for parent and child negative affect were ≥1 for parent negative affect, ≥1 for child anger, and ≥2 for child sadness.

Parent and Child Emotion Regulation

Parent and child emotion dysregulation were assessed using 3 items from the state-based version of the Difficulties in Emotion Regulation Scale (S-DERS) [78]. Items included “My emotions feel overwhelming” and “I am having difficulty controlling my behaviours.” As the original S-DERS was developed for adults, 1 item was adapted to assess child emotion regulation (“My child is having difficulty controlling their behaviours.”). Parents rated items on a 10-point scale from 1 (not at all) to 10 (extremely), reflecting their or their child’s current emotional state. The resource eligibility thresholds for parent and child emotion regulation were ≥1 for parent emotion dysregulation and ≥2 for child emotion dysregulation.

Statistical Analysis

To evaluate feasibility in terms of participant recruitment, retention, and engagement (aim 1), data from the baseline, 2-week post, and EMI surveys were analyzed using descriptive statistics. Pearson pairwise correlations examined associations between demographic characteristics and engagement with pre- and post-EMI surveys and the 2-week post survey. To evaluate acceptability of the program content and delivery method (aim 2), acceptability items from the 2-week post survey were analyzed descriptively to assess participant feedback about the Daily Growth program. To assess feasibility of the research methods in evaluating the efficacy of Daily Growth (aim 3), 2 sets of analyses were conducted in line with the two survey streams: (1) baseline to 2-week post survey outcomes: Bonferroni-adjusted linear regression analyses were conducted for parent and child outcomes. Each model used a postintervention outcome (eg, parent or child emotion regulation and mental health) as the dependent variable and study condition (intervention or control) as the independent variable. Two models were estimated for each outcome: an unadjusted model examining the association between assigned condition and the 2-week post survey outcome, and an adjusted model controlling for the baseline value of the outcome. Effect sizes were also calculated, with Cohen d reported for the unadjusted model and η² reported for the adjusted model. (2) EMI outcomes: Post-EMI survey data were analyzed using linear mixed-effects regression models, with condition as the fixed effect and participant as the random effect. Two models were estimated for each outcome: an unadjusted model examining the association between assigned condition and post-EMI outcome, and an adjusted model controlling for the pre-EMI value of the outcome. All analyses were intention-to-treat and used the maximum available data, resulting in variation in sample size per test.

Protocol Deviations and Technical Issues

Several technical issues occurred during the pilot. First, approximately half of the participants did not receive post-EMI surveys due to a programming error that sent surveys only if participants completed their pre-EMI survey within 15 minutes of the invitation email. This was corrected midway through the trial by removing the time restriction and sending post-EMI surveys to all participants regardless of resource eligibility. For analysis, participants were categorized into group 1 (affected by the issue) and group 2 (unaffected by the issue), with both groups balanced across control and intervention conditions and showing no other differences. Second, a programming oversight allowed participants to complete EMI surveys multiple times; only first completions were retained for analysis. Third, EMI survey prompts did not account for participants’ time zones, resulting in prompts sent outside intended times for participants residing outside Victoria, New South Wales, Tasmania, or the Australian Capital Territory. Finally, 57 EMI survey responses and 2522 Platform O prompts missing participant IDs were excluded from analysis.


Feasibility Outcomes

Participant Flow

Participant flow is presented in Figure 2. Of the 382 participants assessed for eligibility, approximately half were excluded for reasons including not meeting inclusion criteria, incomplete demographic data, residing outside Australia, being identified as bots, having no EMI prompts assigned, lacking a participant ID, or being duplicate entries. Overall, 71% (135/189) of the participants who completed the baseline survey also completed the 2-week post survey, meeting the prespecified target of <30% attrition.

Figure 2. Participant flow through enrollment, screening, baseline completion, 2-week post survey completion, and analysis.
Participant Demographics

Participant demographics are presented in Table 2. The study enrolled 189 parents and carers of children aged 2‐4 years, exceeding the recruitment target of 150 participants. Randomization resulted in groups that were broadly comparable on baseline demographic characteristics. The mean participant age was 36.4 (SD 5.2) years in the control group and 36.7 (SD 4.8) years in the intervention group; the overall sample mean age was 36.6 (SD 5.0) years. Most participants were mothers, and the predetermined recruitment target of 25% fathers was not met. Compared with the most recent census of Australian families [23,79,80], single parents and parents of Aboriginal and Torres Strait Islander descent were overrepresented in the study sample. Parents with a low income, born overseas, who speak another language, and those without a university degree were underrepresented.

Table 2. Comparison of demographic characteristics across control and intervention conditions, the total sample, and the Australian population (N=189)a.
VariableControl, n (%)Intervention, n (%)Total sample, n (%)Australian population, %
Participant’s sex
Female82 (86.3)82 (87.2)164 (86.8)50.7
Male13 (13.7)11 (11.7)24 (12.7)49.3
Nonbinary0 (0)1 (1.1)1 (0.5)b
Child’s sex
Female46 (48.4)47 (50.0)93 (49.2)
Child’s age, years
217 (17.9)20 (21.3)37 (19.6)
329 (30.5)31 (33.0)60 (31.7)
449 (51.6)43 (45.7)92 (48.7)
Single parent9 (9.5)9 (9.6)18 (9.5)4.2
Number of children in the home
115 (15.8)17 (18.1)32 (16.9)42
256 (58.9)53 (56.4)109 (57.7)39
317 (17.9)20 (21.3)37 (19.6)14
4+7 (7.4)4 (4.3)11 (5.8)5
Level of schooling
Did not complete high school8 (8.4)14 (14.9)22 (11.6)20.7
Completed high school87 (91.6)80 (85.1)167 (88.4)79.3
Highest qualification
No tertiary qualification9 (9.5)4 (4.3)13 (6.9)38.8
Trade certificate or diploma19 (20.0)20 (21.3)39 (20.6)17
Bachelor’s degree31 (32.6)38 (40.4)69 (36.5)20.3
Postgraduate degree36 (37.9)32 (34.0)68 (36.0)8.1
Participant born overseas14 (14.7)15 (16.0)29 (15.3)27.6
Language other than English8 (8.4)4 (4.3)12 (6.3)22
Aboriginal/Torres Strait Islander6 (6.3)4 (4.3)10 (5.3)3.8
Low income (AU$ <52,000 per year)13 (13.7)13 (13.8)26 (13.8)21

aAustralian population data are from the Australian Bureau of Statistics [23,79]. Population includes Australian parents living with a dependent child.

bNot available.

EMI Completion

EMI completion rates over the 2-week study period are presented in Figure 3. On average, participants completed close to two-thirds of the pre-EMI surveys, exceeding the prespecified engagement target of 50%. However, post-EMI survey completion was lower and fell below the prespecified 50% target. Completion rates did not differ substantially between conditions. For pre-EMI surveys, the majority of the participants (57.7%) completed at least 75% of surveys. Around 1 in 6 (17.5%) participants completed fewer than 25% of pre-EMI surveys. In contrast, post-EMI survey completion was low, with most participants (58.2%) completing fewer than 25% of surveys, and only about 1 in 10 (9%) completing at least 75%. Twenty-three participants in group 1 (ie, affected by technical issues) did not receive any post-EMI survey prompts. Figure 4 presents the average pre-EMI survey completion rates across study time points. Completion rates fluctuated between 60% and 80% across the 2-week period.

Figure 3. EMI survey completion rates across intervention and control conditions. Technical issues affected group 1 (ie, the post-EMI survey was not consistently sent). No technical issues affected group 2. EMI: ecological momentary intervention.
Figure 4. Average pre-EMI survey completion rates by survey time point across the 14-day intervention period. EMI: ecological momentary intervention.
Demographic Characteristics and Engagement

Prespecified Pearson pairwise correlations were conducted to examine associations between pre-EMI survey completion rates and participant demographic characteristics. There was evidence for a small association between participants’ pre-EMI survey completion rate and child’s age (r=0.15; P=.046), suggesting that completion rates were slightly higher among parents of older children. However, we found no evidence to suggest associations between any other demographic characteristics and pre-EMI completion rates.

Resource Eligibility

Figure 5 presents the number of survey responses per participant that were eligible to receive a resource (ie, scored above the cutoff on the pre-EMI survey). Among all completed pre-EMI surveys, 56% met criteria for receiving a resource, with an average of 43% eligible pre-EMI surveys per participant. On average, parenting support was offered once per day based on the pre-EMI survey cutoff.

Figure 5. Frequency distribution of resource eligibility per participant by day of participation over 2 weeks.

Acceptability

Program acceptability results are shown in Table 3. Interpretation of acceptability outcomes was limited by an error in the survey response options, as both ends of the scale were labeled “Strongly disagree,” (ie, participants were shown as Strongly disagree, Disagree, Neutral, Agree, and Strongly disagree), meaning that it was not possible to determine whether participants intended to select the lowest or highest level of acceptability. It is also likely that responses are skewed, as participants who would have selected “Strongly agree” may instead have selected “Agree,” given that the “Strongly agree” option was not available. Notably, only a small number of participants selected either “Strongly disagree” response option. For example, for the item “Overall, I am satisfied with the Daily Growth program.” only 3% (2/67) selected “Strongly disagree.”

As shown in Table 3, the majority of intervention participants who completed the acceptability survey found the Emotion Coaching and Active Play resources useful, with over two-thirds agreeing that the program was easy to use. Just less than half of the participants felt that Daily Growth met their needs, and more than half reported overall satisfaction. Almost half of the participants indicated that the program helped them manage challenging parenting situations, while more than half reported that it improved their understanding of their child’s emotions. For nearly half of the participants, the program also strengthened their bond with their child. Additionally, two-thirds planned to continue using the skills they learned. Most participants (94%) reported that the Daily Growth resources were about the right length, and the majority (79%) indicated that they would recommend the program to other parents. However, consistent with the technical issues described earlier, approximately one-third of the participants (31%) reported encountering issues while using the app, most commonly relating to not receiving some EMI surveys.

Table 3. Acceptability of Daily Growth at 2-week post survey (N=67).
ItemStrongly disagreea, n (%)Disagree, n (%)Neutral, n (%)Agree, n (%)Strongly disagreea, n (%)
I am satisfied with Daily Growth0 (0)10 (14.9)15 (22.4)40 (59.7)2 (3)
Daily Growth meets my needs1 (1.5)13 (19.4)21 (31.3)30 (44.8)2 (3)
I found Emotion Coaching useful0 (0)1 (1.5)20 (29.9)43 (64.2)3 (4.5)
I found Active Play useful0 (0)1 (1.5)27 (40.3)36 (53.7)3 (4.5)
Daily Growth was easy to use0 (0)7 (10.5)10 (14.9)45 (67.2)5 (7.5)
I will use the skills I learned0 (0)3 (4.5)14 (20.9)46 (68.7)4 (6)
Daily Growth helped me...
parent with partner4 (6)17 (25.4)23 (34.3)21 (31.3)2 (3)
manage parenting challenges1 (1.5)7 (10.5)27 (40.3)29 (43.3)3 (4.5)
understand child’s emotions0 (0)9 (13.4)15 (22.4)39 (58.2)4 (6)
strengthen parent-child bond0 (0)9 (13.4)26 (38.8)30 (44.8)2 (3)

aDue to a survey error, both ends of the acceptability scale were labeled “Strongly disagree,” limiting interpretation of responses. It is possible that some participants selected “Agree” in place of “Strongly agree,” since the latter option was not available. Few participants overall selected “Strongly disagree.”

Descriptive Efficacy

Two-Week Post survey Outcomes

Descriptive statistics for the outcome measures are reported in Table 4. Internal consistency (Cronbach α) for most measures was similar to values reported in the original validation studies [63-66,68-75,81]. Multivariable regression analyses examining condition differences are also presented in Table 4. Two models were estimated for each outcome: an unadjusted model and a model adjusted for baseline values. Findings were largely consistent across models, with significant results differing only for overall parent emotion regulation. Specifically, the between-group difference in overall parent emotion regulation was statistically significant in the unadjusted model but did not remain significant after adjusting for baseline scores. Overall, results indicated greater improvements from baseline to 2-week postintervention in the intervention group than in the control group in parent emotion dysregulation, including nonacceptance of emotional responses, parent psychological distress, and parent negative affect. No significant improvements were evident for any child outcomes.

Table 4. Associations between condition status and parent and child 2-week post survey outcomesa.
OutcomeUnadjustedAdjusted for baseline
Effect sizebB valueLLcULdP valueEffect sizeeBLLULP value
Child outcomes
Behavioral problems
Temper loss0.20−0.17−0.470.13.260.000.03−0.200.25.81
Noncompliance0.10−0.11−0.450.24.540.00−0.02−0.280.23.87
Aggression0.23−0.21−0.520.10.190.000.02−0.200.24.86
Depression0.30−0.92−1.950.12.080.02−0.72−1.540.10.09
Anxiety−0.050.10−0.560.76.770.000.17−0.390.73.55
Emotion regulation
Mindfulness0.08−0.11−0.610.38.660.00−0.11−0.500.28.59
Verbal help-seeking−0.170.27−0.260.81.320.010.19−0.180.57.31
Verbal venting−0.110.14−0.310.60.530.010.22−0.120.56.21
Physical venting−0.130.19−0.310.69.450.020.29−0.060.64.10
Emotional reactivity0.26−0.25−0.580.08.140.00−0.09−0.310.14.45
Negative affect−0.050.15−0.851.15.770.010.38−0.471.23.37
Parent outcomes
Emotion regulation
Total0.37−4.84−9.36−0.32.040.01−1.87−4.620.89.18
Nonacceptancef0.49−1.49−2.53−0.45.010.04−0.90−1.65−0.15.02
Goals0.22−0.62−1.610.36.210.00−0.25−0.970.46.49
Impulse control difficulties0.26−1.16−2.710.38.140.01−0.50−1.530.54.35
Strategies0.29−1.19−2.600.21.100.00−0.16−1.040.72.72
Emotional clarityg0.25−0.37−0.870.14.150.02−0.31−0.710.08.12
Psychological distress0.40−1.57−2.92−0.23.020.04−0.91−1.71−0.11.03
Positive affect0.01−0.03−1.411.35.960.010.66−0.341.65.19
Negative affect0.39−1.40−2.65−0.15.030.04−0.94−1.72−0.16.02
Stress0.20−1.52−4.171.13.260.02−1.58−3.500.33.11
Emotion-related parenting
Emotion coaching−0.030.03−0.280.35.840.000.01−0.240.25.97
Emotion dismissing0.18−0.15−0.430.13.290.00−0.09−0.310.14.44
Reflective functioning
Prementalizing−0.020.02−0.250.29.900.000.04−0.160.24.68
Certainty−0.130.15−0.230.52.440.000.10−0.180.38.48
Interest and curiosity0.000.00−0.330.33.990.020.21−0.050.47.12
Emotion beliefsh
Anger−0.100.57−1.302.44.550.000.16−1.121.45.80
Control0.17−0.69−2.120.74.340.00−0.38−1.430.68.48
Manipulation0.08−0.39−2.101.33.660.000.31−0.801.42.58
Autonomy0.08−0.52−2.771.73.650.00−0.44−2.021.13.58
Stability0.28−1.06−2.350.23.110.00−0.34−1.470.79.55
Family climatei
Positive emotion expression−0.100.15−0.390.69.580.000.01−0.320.35.94
Negative emotion expression0.05−0.07−0.550.42.790.00−0.06−0.390.28.74
Verbal conflict0.16−0.11−0.350.13.370.01−0.08−0.240.08.31
Physical conflict0.000.00−0.050.05≥.990.000.01−0.040.05.81

aParticipant condition status, that is, their assignment to either the intervention or control condition, was entered as the independent variable. Two models were estimated: an unadjusted model and a model adjusted for the corresponding baseline value.

bEffect size for adjusted models=η².

cLL: lower limit.

dUL: upper limit.

eEffect size for unadjusted models=Cohen d.

fNonacceptance: nonacceptance of emotional responses.

gEmotional clarity: lack of emotional clarity.

hEmotion beliefs: beliefs about children’s emotions.

iFamily climate: family emotional climate.

In-the-Moment Post-EMI Outcomes

Table 5 presents the linear mixed model regression analysis of post-EMI survey outcomes. Two models were estimated for each outcome: an unadjusted model and a model adjusted for corresponding pre-EMI values. Findings were consistent across both models, demonstrating a significant association between condition and momentary parent negative affect. No additional significant effects were found. Intraclass correlation values indicated that a small proportion of variance in outcome measures was attributable to individual differences.

Table 5. Associations between condition status and parent and child post–ecological momentary intervention survey outcomesa.
OutcomeUnadjustedAdjusted for pre-EMIb
B valueLLcULdP valueICCeB valueLLULP valueICC
Child outcomes
Emotion regulationf0.31−0.300.93.3140.33−0.11−0.530.32.6150.10
Negative affect
Sad0.00−0.480.49.9900.14−0.03−0.440.38.8720.05
Angry0.11−0.330.54.6340.25−0.05−0.370.26.7320.13
Parent outcomes
Emotion regulation
Overwhelmingg−0.33−0.800.15.1760.37−0.23−0.490.04.0990.11
Behaviorsh−0.23−0.710.25.3470.58−0.17−0.510.16.3050.41
Negative affect (upset)−0.50−0.95−0.05.0290.48−0.37−0.71−0.04.0280.32

aParticipant condition status, that is, their assignment to either the intervention or control condition, was entered as the independent variable. Two models were estimated: an unadjusted model and a model adjusted for the corresponding pre-EMI value.

bEMI: ecological momentary intervention.

cLL: 95% CI lower limit.

dUL: 95% CI upper limit.

eICC: intraclass correlation.

f“My child is having difficulty controlling their behaviours” EMI item.

g“My emotions are overwhelming” EMI item.

h“I am having difficulty controlling my behaviors” EMI item.


Principal Findings

This pilot randomized controlled trial evaluated the feasibility, engagement, and acceptability of a small-scale prototype of the Daily Growth parenting program, a digital intervention designed to provide in-the-moment support for parents using an EMI approach. Overall, the study met its recruitment target and demonstrated a high retention rate. Engagement with pre-EMI surveys exceeded expectations, translating to parents on average completing a survey once per day. Participants responded positively to the program and found the resources useful. However, post-EMI survey completion rates were lower than anticipated, with parents responding approximately 1 in 5 times, and certain demographic groups were underrepresented. Together, these findings offer valuable insights for refining the program and guiding future research.

Feasibility

This pilot study exceeded the recruitment target of 150 participants and retention rates were high compared with similar parenting interventions [20,82,83], indicating a high level of participant interest and engagement. This may be attributed to Daily Growth’s user-centered design, including flexible and tailored support based on parent needs. Nevertheless, some attrition occurred between screening and baseline, as well as during the 2-week intervention period, highlighting opportunities to refine the enrollment process and strengthen engagement strategies. Engagement with pre-EMI surveys exceeded expectations. Overall, engagement with the daily prompts throughout the study period was at a similar level to other EMA or intervention studies [23] and close to the recommended rate of 80% [10]. Notably, the predefined engagement benchmark for this study was 50%, as Daily Growth is intended to be a light-touch, accessible program that would not be overly burdensome for busy parents. Achieving engagement levels substantially above this target therefore provides strong preliminary support for the acceptability of the delivery schedule. However, engagement with post-EMI surveys was lower than the target of 50% completion, which may be attributed to having separate online systems. As EMI survey prompts were delivered via email, while surveys and videos were delivered through Platform O, it is possible that once parents completed the pre-EMI survey and were directed to a video or website elsewhere, they did not return to their email to click on the post-EMI survey prompt. Using a smartphone app with push notifications could help streamline this process by keeping all prompts and resources within a single, integrated system. Additionally, providing onboarding instructions to emphasize the importance of completing all survey components may further support engagement. It is also important to note that technical issues affected the post-EMI surveys and should be addressed in future implementations.

This pilot study demonstrated Daily Growth’s potential to engage a diverse group of parents, an ongoing challenge in online parenting intervention studies [20,84]. However, fathers, migrant parents, and parents with a low level of education were underrepresented, consistent with patterns in previous intervention research [20,82-86]. Fathers may perceive parenting programs as less relevant to them or feel that their contributions are undervalued, while migrant parents may face barriers such as language, accessibility, or differing cultural expectations [20,82-86]. Although the primary focus of this pilot was not on recruiting a representative sample but rather on testing the technical feasibility and engagement with the Daily Growth prototype, future iterations should aim to increase inclusivity by incorporating father-specific recruitment strategies and ensuring that program materials are broadly accessible to better reach underrepresented groups.

Acceptability

Participants responded positively to Daily Growth, with most finding the resources useful and willing to recommend the program to others. These findings suggest that the Design Mapping framework and EMI approach successfully enhanced parent satisfaction, consistent with previous studies finding these approaches acceptable [13,37,87-91]. Approximately half of the participants reported that the program fully met their needs or helped them manage parenting challenges, a reasonable outcome given the pilot offered only 10 videos covering 5 parenting situations. The full Daily Growth program, featuring 90 video resources across 3 program types, will address a broader range of parenting challenges and better accommodate diverse family needs. Participants also reported technical difficulties, particularly with post-EMI survey prompts. Improving technical infrastructure to streamline user experience and minimize disruptions remains a priority for future iterations.

Descriptive Outcomes

Descriptive outcome data were collected to test the feasibility of the program evaluation methods, more specifically to assess whether the measures are sensitive to change, whether outcome data can be collected completely, and whether the measurements are viable to use in a larger trial. The prototype version of Daily Growth showed significant reductions in momentary negative affect (EMI outcomes) in participants in the intervention condition compared with the control, suggesting that the program’s real-time delivery may effectively support parents during challenging situations. These findings align with previous emotion-focused parenting interventions [92-95] and EMI-based parenting programs [13,37] and indicate that brief, targeted support can help parents manage their emotions more effectively. Furthermore, baseline to 2-week postintervention improvements in parent emotion regulation and mental health outcomes were observed, including reduced nonacceptance of emotional responses, psychological distress, and negative affect.

Notably, the between-group difference in total parent emotion dysregulation was significant in the unadjusted model but did not remain significant after adjusting for baseline scores. This likely reflects the strong stability of emotion regulation over time and limited statistical power in this pilot sample. Furthermore, no significant effects emerged for baseline to 2-week post survey child outcomes or broader parenting behaviors such as emotion coaching. The program was designed to target parent emotion regulation and parenting behaviors; hence, child outcomes represent more distal targets. Given the pilot’s brief duration (2 weeks), limited intervention content (only 10 of the total 60 videos were available), and small sample size, detecting changes in these outcomes was not the focus of the current trial. Child emotion regulation develops gradually through repeated parent-child interactions, and meaningful shifts in parenting practices typically require sustained exposure to intervention content. The full 6-week Daily Growth program, with substantially more content and longer intervention exposure, provides a more appropriate test of child-level impacts in a larger, adequately powered trial.

Implications for Future Research

Several directions for future research and program refinement should be considered. First, investigating how parent gender influences program efficacy warrants attention, as mothers and fathers often differ in their parenting approaches [96-98], suggesting opportunities for targeted tailoring. Second, although baseline parental mental health was assessed, this pilot study was not powered to examine whether feasibility, acceptability, or descriptive efficacy outcomes differed by mental health status. Future trials could explore mental health as a potential moderator of engagement and program effects, as these parents may have greater needs for support and may engage differently with EMI program delivery [99]. Furthermore, optimizing intervention timing deserves careful consideration. While in-the-moment delivery can be highly effective [29,100], some parents may be more receptive to learning new skills when not experiencing high emotional dysregulation [101]. Future research should systematically examine timing and delivery strategies that maximize both learning and immediate support, potentially offering parents flexibility when they access content.

Strengths and Limitations

This study makes several important contributions. The randomized controlled trial design minimizes bias and provides a robust test of full trial methods. Most notably, this represents one of the first applications of an EMI approach to digital parenting interventions. Beyond enhancing engagement through regular prompts, the EMI design generated valuable real-time data on parents’ momentary experiences and immediate responses to brief video interventions. These findings provide early support for EMI’s viability in early childhood parenting support and demonstrate that twice-daily prompts are generally acceptable to parents. However, several limitations warrant consideration. First, the pilot tested only a 2-week prototype, whereas the full program spans 6 weeks. While short-term feasibility was demonstrated, sustained engagement with twice-daily prompts over extended periods remains uncertain. Second, the sample, although adequate for pilot testing, was relatively small and underrepresented fathers, migrant parents, and those with lower educational attainment, limiting generalizability. A third limitation is that the prototype platform was not able to capture the number of resources watched by each participant, meaning that intervention exposure could not be quantified beyond the EMI survey data. Technical issues also affected data quality and user experience. Approximately half of the participants did not receive post-EMI survey prompts due to a programming error, and prompts did not account for time zones, resulting in some participants receiving surveys outside intended times. In addition, multiple completions of EMI surveys and missing participant IDs resulted in the exclusion of a portion of responses. These issues highlight the importance of refining the technical infrastructure prior to a fully powered trial. Finally, the limited intervention content (10 videos covering 5 situations) constrained our ability to detect changes in child outcomes or broader parenting behaviors, which likely require more comprehensive exposure to demonstrate effects.

Conclusions

Reaching diverse families and sustaining their engagement remains one of the greatest challenges for universal parenting programs. This pilot study demonstrates that delivering parenting support through an EMI approach is both feasible and acceptable. Testing a small-scale Daily Growth prototype, we found that brief, tailored video resources successfully engaged parents in real time. High recruitment and retention rates, combined with positive parent feedback and engagement exceeding expectations for pre-EMI surveys, provide compelling evidence that tailored EMI approaches can overcome traditional barriers to reach and engagement in digital parenting programs. However, low post-EMI completion rates indicate the need for refinements to reduce participant burden and improve response rates. These promising findings establish a foundation for a larger trial to rigorously assess efficacy, optimize delivery methods, and enhance accessibility for underrepresented groups, particularly fathers and migrant parents. Beyond demonstrating feasibility, this study advances digital parenting interventions through its innovative co-design approach. Daily Growth represents a new model for scalable, data-driven parenting support that has the potential to improve parenting practices and child mental health outcomes at a population level.

Acknowledgments

The authors thank all parents who participated in this study. Moreover, the authors thank Ainsley Summerton and Kayla Redpath for their valuable contribution toward the pilot study. This study was funded by an internal Deakin University Faculty of Health Research Capacity Building Grant Scheme (HAtCH) grant. The authors used generative AI tools, such as Claude or ChatGPT, to improve phrasing and readability, to help generate syntax or code, and to create a TOC image. All AI-generated output was reviewed by the authors, who take full responsibility for the accuracy of the manuscript.

Funding

The authors declared no financial support was received for this work.

Data Availability

The datasets used to analyze the results of this study are available from the corresponding author upon request.

Authors' Contributions

Conceptualization: EMW, SE, TSB, MB, EO, MF-T

Data curation: TSB, SH-R, EO, EMW

Formal analysis: TSB, SH-R, EMW, SE, MF-T

Funding acquisition: EMW

Investigation: SH-R, TSB, SE, KB, EO, GLK, EMW

Methodology: EMW, TSB, MF-T, EO, GLK, SE

Project administration: EMW, SH-R, SE, TSB, EO

Resources: EMW, EO

Software: EO

Supervision: EMW

Visualization: EMW, TSB

Writing – original draft: SE, EMW, KB

Writing – review & editing: SE, EMW, TSB, KB, MB, MF-T, GLK

Conflicts of Interest

None declared. We note that the authors or evaluators are identical to the developers or sponsors of the intervention.

Editorial Notice

This randomized study was retrospectively registered because at the time the study began, the authors were not aware of the requirement for prospective registration of pilot studies. The editor granted an exception from ICMJE rules mandating prospective registration of randomized trials, because the risk of bias appears low and the study was considered formative, guiding the development of the application. However, readers are advised to carefully assess the validity of any potential explicit or implicit claims related to primary outcomes or effectiveness, as retrospective registration does not prevent authors from changing their outcome measures retrospectively.

Checklist 1

CONSORT-EHEALTH checklist.

PDF File, 1183 KB

  1. Camras LA, Halberstadt AG. Emotional development through the lens of affective social competence. Curr Opin Psychol. Oct 2017;17:113-117. [CrossRef] [Medline]
  2. Mestre JM, Núñez-Lozano JM, Gómez-Molinero R, Zayas A, Guil R. Emotion regulation ability and resilience in a sample of adolescents from a suburban area. Front Psychol. 2017;8:1980. [CrossRef] [Medline]
  3. Morris AS, Silk JS, Steinberg L, Myers SS, Robinson LR. The role of the family context in the development of emotion regulation. Soc Dev. May 1, 2007;16(2):361-388. [CrossRef] [Medline]
  4. Eisenberg N, Spinrad TL, Eggum ND. Emotion-related self-regulation and its relation to children’s maladjustment. Annu Rev Clin Psychol. 2010;6:495-525. [CrossRef] [Medline]
  5. Klasen H, Crombag AC. What works where? A systematic review of child and adolescent mental health interventions for low and middle income countries. Soc Psychiatry Psychiatr Epidemiol. Apr 2013;48(4):595-611. [CrossRef] [Medline]
  6. Pandey A, Hale D, Das S, Goddings AL, Blakemore SJ, Viner RM. Effectiveness of universal self-regulation-based interventions in children and adolescents: a systematic review and meta-analysis. JAMA Pediatr. Jun 1, 2018;172(6):566-575. [CrossRef] [Medline]
  7. Enns J, Holmqvist M, Wener P, et al. Mapping interventions that promote mental health in the general population: a scoping review of reviews. Prev Med. Jun 2016;87(70-80):70-80. [CrossRef] [Medline]
  8. Clancy E, Benstead M, Little K, Skvarc D, Westrupp E, Yap M, et al. Family partnerships to support children and young people’s mental health: an evidence check rapid review brokered by the Sax Institute (www saxinstitute org au) for be you. Sax Institute. 2019. URL: https://www.saxinstitute.org.au [Accessed 2025-04-09]
  9. Rostad WL, Moreland AD, Valle LA, Chaffin MJ. Barriers to participation in parenting programs: the relationship between parenting stress, perceived barriers, and program completion. J Child Fam Stud. Apr 2018;27(4):1264-1274. [CrossRef] [Medline]
  10. MacDonald J, Young M, Barclay B, McMullen S, Knox J, Morgan P. The participation of Aboriginal and Torres Strait Islander parents in Australian trials of parenting programs for improving children’s health: a scoping review. Med J Aust. Apr 1, 2024;220(6):331-335. [CrossRef] [Medline]
  11. Smokowski P, Corona R, Bacallao M, Fortson BL, Marshall KJ, Yaros A. Addressing barriers to recruitment and retention in the implementation of parenting programs: lessons learned for effective program delivery in rural and urban areas. J Child Fam Stud. Sep 2018;27(9):2925-2942. [CrossRef] [Medline]
  12. David OA, Iuga IA, Miron IS. Parenting: there is an app for that. A systematic review of parenting interventions apps. Child Youth Serv Rev. Jan 2024;156:107385. [CrossRef]
  13. Leonard NR, Casarjian B, Fletcher RR, et al. Theoretically-based emotion regulation strategies using a mobile app and wearable sensor among homeless adolescent mothers: acceptability and feasibility study. JMIR Pediatr Parent. 2018;1(1):e1. [CrossRef] [Medline]
  14. Hodson N, Woods P, Solano JL, Talbot C, Giacco D. Evaluating a mobile app supporting evidence-based parenting skills: thematic analysis of parent experience. JMIR Pediatr Parent. Sep 5, 2024;7:e53907. [CrossRef] [Medline]
  15. Doty JL, Brady SS, Monardez Popelka J, et al. Designing a mobile app to enhance parenting skills of Latinx parents: a community-based participatory approach. JMIR Form Res. Jan 24, 2020;4(1):e12618. [CrossRef] [Medline]
  16. Rhodes A, Kheireddine S, Smith AD. Experiences, attitudes, and needs of users of a pregnancy and parenting app (Baby Buddy) during the COVID-19 pandemic: mixed methods study. JMIR Mhealth Uhealth. Dec 9, 2020;8(12):e23157. [CrossRef] [Medline]
  17. Shorey S, Law E, Thilagamangai, et al. Evaluating the effectiveness of the supportive parenting app on parental outcomes: randomized controlled trial. J Med Internet Res. Jan 16, 2023;25:e41859. [CrossRef] [Medline]
  18. Linardon J, Westrupp EM, Macdonald JA, et al. Monitoring Australian parents’ shifting receptiveness to digital mental health interventions during the COVID-19 pandemic. Aust N Z J Psychiatry. Nov 2022;56(11):1503-1514. [CrossRef] [Medline]
  19. Christensen H, Hickie IB. Using e-Health applications to deliver new mental health services. Med J Aust. Jun 7, 2010;192(S11):S53-S56. [CrossRef] [Medline]
  20. Hackworth NJ, Matthews J, Westrupp EM, et al. What influences parental engagement in early intervention? Parent, program and community predictors of enrolment, retention and involvement. Prev Sci. Oct 2018;19(7):880-893. [CrossRef] [Medline]
  21. Linardon J, Fuller-Tyszkiewicz M. Attrition and adherence in smartphone-delivered interventions for mental health problems: a systematic and meta-analytic review. J Consult Clin Psychol. Jan 2020;88(1):1-13. [CrossRef] [Medline]
  22. Westrupp EM, Youssef G, Fuller-Tyszkiewicz M, et al. Using technology to tailor and personalise population level parenting interventions. Ment Health Prev. Sep 2020;19:200184. [CrossRef]
  23. Westrupp EM, Bennett C, Berkowitz T, et al. Child, parent, and family mental health and functioning in Australia during COVID-19: comparison to pre-pandemic data. Eur Child Adolesc Psychiatry. Feb 2023;32(2):317-330. [CrossRef] [Medline]
  24. Fleming T, Bavin L, Lucassen M, Stasiak K, Hopkins S, Merry S. Beyond the trial: systematic review of real-world uptake and engagement with digital self-help interventions for depression, low mood, or anxiety. J Med Internet Res. Jun 6, 2018;20(6):e199. [CrossRef] [Medline]
  25. Phelan TW. 1-2-3 Magic: Effective Discipline for Children 2–12. ParentMagic, Inc; 2010. ISBN: 1889140430
  26. Sanders MR. Triple P-positive parenting program: towards an empirically validated multilevel parenting and family support strategy for the prevention of behavior and emotional problems in children. Clin Child Fam Psychol Rev. Jun 1999;2(2):71-90. [CrossRef] [Medline]
  27. Webster-Stratton C, Reid MJ. The incredible years parents, teachers, and children training series: a multifaceted treatment approach for young children with conduct problems. In: Weisz JR, Kazdin AE, editors. Evidence-Based Psychotherapies for Children and Adolescents. Guilford Press; 2018:122-141. URL: https:/​/www.​researchgate.net/​publication/​232521865_The_Incredible_Years_parent_teachers_and_children_training_series_A_multifaceted_treatment_approach_for_young_children_with_conduct_problems [Accessed 2026-08-14]
  28. Calkins SD, Hill A. Caregiver influences on emerging emotion regulation: biological and environmental transactions in early development. In: Gross JJ, editor. Handbook of Emotion Regulation. Guilford Press; 2007:229-248. URL: https://psycnet.apa.org/record/2007-01392-011 [Accessed 2026-08-14]
  29. Balaskas A, Schueller SM, Cox AL, Doherty G. Ecological momentary interventions for mental health: a scoping review. PLoS One. 2021;16(3):e0248152. [CrossRef] [Medline]
  30. Cain AE, Depp CA, Jeste DV. Ecological momentary assessment in aging research: a critical review. J Psychiatr Res. Jul 2009;43(11):987-996. [CrossRef] [Medline]
  31. Loo Gee B, Griffiths KM, Gulliver A. Effectiveness of mobile technologies delivering ecological momentary interventions for stress and anxiety: a systematic review. J Am Med Inform Assoc. Jan 2016;23(1):221-229. [CrossRef] [Medline]
  32. Heron KE, Smyth JM. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br J Health Psychol. Feb 2010;15(Pt 1):1-39. [CrossRef] [Medline]
  33. Runyan JD, Steinke EG. Virtues, ecological momentary assessment/intervention and smartphone technology. Front Psychol. 2015;6:481. [CrossRef]
  34. Shiffman S, Scholl SM, Mao J, et al. Using nicotine gum to assist nondaily smokers in quitting: a randomized clinical trial. Nicotine Tob Res. Mar 16, 2020;22(3):390-397. [CrossRef] [Medline]
  35. Fuller-Tyszkiewicz M, Richardson B, Lewis V, et al. A randomized trial exploring mindfulness and gratitude exercises as eHealth-based micro-interventions for improving body satisfaction. Comput Human Behav. Jun 2019;95:58-65. [CrossRef]
  36. Merkouris SS, Hawker CO, Rodda SN, Youssef GJ, Dowling NA. GamblingLess: curb your urge: development and usability testing of a smartphone-delivered ecological momentary intervention for problem gambling. Int Gambl Stud. Sep 1, 2020;20(3):515-538. [CrossRef]
  37. Ibrahim SB, Klasnja P, Gross JJ, Slovak P. Designing daily supports for parent-child conversations about emotion: ecological momentary assessment as intervention. Presented at: Proceedings of the 2025 CHI Conference on human factors in computing systems; Apr 26 to May 1, 2025:1-21; Yokohama, Japan. [CrossRef]
  38. Wang Q, Ng SM, Zhou X. The mechanism and effectiveness of mindfulness-based intervention for reducing the psychological distress of parents of children with autism spectrum disorder: a protocol of randomized control trial of ecological momentary intervention and assessment. PLoS One. 2023;18(9):e0291168. [CrossRef]
  39. Kalil A. Proposal 2: addressing the parenting divide to promote early childhood development for disadvantaged children. In: Kearney MS, Harris BH, editors. Policies to Address Poverty in America. The Hamilton Project; 2014:29-36. URL: https:/​/www.​brookings.edu/​articles/​addressing-the-parenting-divide-to-promote-early-childhood-development-for-disadvantaged-children/​ [Accessed 2026-08-14]
  40. Scott S. Parenting programmes for attachment and conduct problems. Psychiatry. Sep 2008;7(9):367-370. [CrossRef]
  41. van Aar J, Leijten P, Orobio de Castro B, et al. Families who benefit and families who do not: integrating person- and variable-centered analyses of parenting intervention responses. J Am Acad Child Adolesc Psychiatry. Oct 2019;58(10):993-1003. [CrossRef]
  42. Winston FK, Puzino K, Romer D. Precision prevention: time to move beyond universal interventions. Inj Prev. Apr 2016;22(2):87-91. [CrossRef] [Medline]
  43. Bevan Jones R, Stallard P, Agha SS, et al. Practitioner review: co-design of digital mental health technologies with children and young people. J Child Psychol Psychiatry. Aug 2020;61(8):928-940. [CrossRef] [Medline]
  44. Gottman JM, Katz LF, Hooven C. Parental meta-emotion philosophy and the emotional life of families: Theoretical models and preliminary data. J Fam Psychol. 1996;10(3):243-268. [CrossRef]
  45. Gottman JM, DeClaire J. The Heart of Parenting: How to Raise an Emotionally Intelligent Child. Simon & Schuster; 1997. URL: https://archive.org/details/raisingemotional00gott [Accessed 2026-08-14] ISBN: 0684838656
  46. Ginsburg KR, Shifrin DL, Broughton DD, Dreyer BP, Milteer RM, Mulligan DA. The importance of play in promoting healthy child development and maintaining strong parent-child bonds. Pediatrics. Jan 2007;119(1):182-191. [CrossRef] [Medline]
  47. Best JR, Miller PH. A developmental perspective on executive function. Child Dev. 2010;81(6):1641-1660. [CrossRef] [Medline]
  48. Wigal SB, Emmerson N, Gehricke JG, Galassetti P. Exercise: applications to childhood ADHD. J Atten Disord. May 2013;17(4):279-290. [CrossRef] [Medline]
  49. Leon AC, Davis LL, Kraemer HC. The role and interpretation of pilot studies in clinical research. J Psychiatr Res. May 2011;45(5):626-629. [CrossRef] [Medline]
  50. Eldridge SM, Chan CL, Campbell MJ, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. BMJ. Oct 24, 2016;355:i5239. [CrossRef] [Medline]
  51. Bufton K, Bates M, Fuller-Tyszkiewicz M, Hamid J, Westrupp E. Design mapping: a conceptual framework for co-designing evidence-based digital mental health programs. Health Expect. Oct 2025;28(5):e70385. [CrossRef] [Medline]
  52. Westrupp EM, Greenwood CJ, Fuller-Tyszkiewicz M, Berkowitz TS, Hagg L, Youssef G. Text mining of Reddit posts: using latent Dirichlet allocation to identify common parenting issues. PLoS One. 2022;17(2):e0262529. [CrossRef] [Medline]
  53. Bufton K, Berkowitz T, Evans S, et al. Parenting in motion: co-designing a physical activity parenting program to support emotion regulation in early childhood. Child Youth Care Forum. Aug 2026;55(4):949-976. [CrossRef]
  54. Bufton K, Bates M, Hamid J, Westrupp E. Co-designing an active play parenting program to support emotion regulation in early childhood: presenting user personas and program concepts. Ment Health Prev. Dec 2025;40:200448. [CrossRef]
  55. Berkowitz TS, Toumbourou JW, Evans S, Fuller-Tyszkiewicz M, Westrupp EM. Momentary assessment of parent and child emotion regulation to inform the design of a new emotion-focused parenting app. PLoS One. 2025;20(7):e0327179. [CrossRef] [Medline]
  56. Westrupp EM, Bates M, Bufton KJ, et al. Protocol for a randomized and a non-randomized controlled trial testing daily growth: a personalised “ecological momentary intervention” parenting app for parents and carers of children aged 2-5 years. BMC Psychol. Jul 1, 2025;13(1):704. [CrossRef] [Medline]
  57. Chacko A, Jensen SA, Lowry LS, et al. Engagement in behavioral parent training: review of the literature and implications for practice. Clin Child Fam Psychol Rev. Sep 2016;19(3):204-215. [CrossRef] [Medline]
  58. Sanders MR. Triple P-positive parenting program as a public health approach to strengthening parenting. J Fam Psychol. Aug 2008;22(4):506-517. [CrossRef] [Medline]
  59. van der Zanden RAP, Speetjens PAM, Arntz KSE, Onrust SA. Online group course for parents with mental illness: development and pilot study. J Med Internet Res. Dec 19, 2010;12(5):e50. [CrossRef] [Medline]
  60. Miller GE, Prinz RJ. Engagement of families in treatment for childhood conduct problems. Behav Ther. 2003;34(4):517-534. [CrossRef]
  61. Heinrichs N, Bertram H, Kuschel A, Hahlweg K. Parent recruitment and retention in a universal prevention program for child behavior and emotional problems: barriers to research and program participation. Prev Sci. Dec 2005;6(4):275-286. [CrossRef] [Medline]
  62. Wen CKF, Schneider S, Stone AA, Spruijt-Metz D. Compliance with mobile ecological momentary assessment protocols in children and adolescents: a systematic review and meta-analysis. J Med Internet Res. Apr 26, 2017;19(4):e132. [CrossRef] [Medline]
  63. Wakschlag LS, Briggs-Gowan MJ, Choi SW, et al. Advancing a multidimensional, developmental spectrum approach to preschool disruptive behavior. J Am Acad Child Adolesc Psychiatry. Jan 2014;53(1):82-96. [CrossRef]
  64. Angold A, Costello EJ, Messer SC, Pickles A. Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. Int J Methods Psychiatr Res. 1995;5(4):237-249. URL: https://psycnet.apa.org/record/1996-02633-002 [Accessed 2026-08-14]
  65. Nauta MH, Scholing A, Rapee RM, Abbott M, Spence SH, Waters A. A parent-report measure of children’s anxiety: psychometric properties and comparison with child-report in a clinic and normal sample. Behav Res Ther. Jul 2004;42(7):813-839. [CrossRef] [Medline]
  66. Perry NB, Dollar JM. Measurement of behavioral emotion regulation strategies in early childhood: the Early Emotion Regulation Behavior Questionnaire (EERBQ). Children (Basel). Sep 6, 2021;8(9):779. [CrossRef] [Medline]
  67. Ebesutani C, Okamura K, Higa-McMillan C, Chorpita BF. A psychometric analysis of the positive and negative affect schedule for children–parent version in a school sample. Psychol Assess. Jun 2011;23(2):406-416. [CrossRef] [Medline]
  68. Bjureberg J, Ljótsson B, Tull MT, et al. Development and validation of a brief version of the Difficulties in Emotion Regulation Scale: the DERS-16. J Psychopathol Behav Assess. Jun 2016;38(2):284-296. [CrossRef] [Medline]
  69. Kessler RC, Andrews G, Colpe LJ, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. Aug 2002;32(6):959-976. [CrossRef] [Medline]
  70. Thompson ER. Development and validation of an internationally reliable short-form of the positive and negative affect schedule (PANAS). J Cross Cult Psychol. Mar 2007;38(2):227-242. [CrossRef]
  71. Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. Mar 1995;33(3):335-343. [CrossRef] [Medline]
  72. King GL, Kehoe CE, Havighurst SS, et al. Creation of a short-form and brief short-form version of the Coping with Children’s Negative Emotions Scale. Assessment. Sep 2023;30(6):1947-1968. [CrossRef] [Medline]
  73. Luyten P, Mayes LC, Nijssens L, Fonagy P. The parental reflective functioning questionnaire: development and preliminary validation. PLoS One. 2017;12(5):e0176218. [CrossRef] [Medline]
  74. Halberstadt AG, Dunsmore JC, Bryant A, Parker AE, Beale KS, Thompson JA. Development and validation of the parents’ beliefs about children’s emotions questionnaire. Psychol Assess. Dec 2013;25(4):1195-1210. [CrossRef] [Medline]
  75. Halberstadt AG, Cassidy J, Stifter CA, Parke RD, Fox NA. Self-expressiveness within the family context: psychometric support for a new measure. Psychol Assess. 1995;7(1):93-103. [CrossRef]
  76. Ahrons CR. The continuing coparental relationship between divorced spouses. Am J Orthopsychiatry. Jul 1981;51(3):415-428. [CrossRef] [Medline]
  77. Westrupp EM, Rose N, Nicholson JM, Brown SJ. Exposure to inter-parental conflict across 10 years of childhood: data from the longitudinal study of Australian children. Matern Child Health J. Sep 2015;19(9):1966-1973. [CrossRef] [Medline]
  78. Lavender JM, Tull MT, DiLillo D, Messman-Moore T, Gratz KL. Development and validation of a state-based measure of emotion dysregulation. Assessment. Mar 2017;24(2):197-209. [CrossRef] [Medline]
  79. Snapshot of Australia. Australian Bureau of Statistics. 2021. URL: https://www.abs.gov.au/statistics/people/people-and-communities/snapshot-australia/latest-release [Accessed 2026-08-14]
  80. Aboriginal and Torres Strait Islander people: census. Australian Bureau of Statistics. 2021. URL: https:/​/www.​abs.gov.au/​statistics/​people/​aboriginal-and-torres-strait-islander-peoples/​aboriginal-and-torres-strait-islander-people-census/​latest-release [Accessed 2026-08-14]
  81. Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988;54(6):1063-1070. [CrossRef]
  82. Baker S, Sanders MR, Morawska A. Who uses online parenting support? A cross-sectional survey exploring Australian parents’ internet use for parenting. J Child Fam Stud. Mar 2017;26(3):916-927. [CrossRef]
  83. Koerting J, Smith E, Knowles MM, et al. Barriers to, and facilitators of, parenting programmes for childhood behaviour problems: a qualitative synthesis of studies of parents’ and professionals’ perceptions. Eur Child Adolesc Psychiatry. Nov 2013;22(11):653-670. [CrossRef] [Medline]
  84. Panter-Brick C, Burgess A, Eggerman M, McAllister F, Pruett K, Leckman JF. Practitioner review: engaging fathers--recommendations for a game change in parenting interventions based on a systematic review of the global evidence. J Child Psychol Psychiatry. Nov 2014;55(11):1187-1212. [CrossRef] [Medline]
  85. Hansen A, Brown SD, Yap MBH. Enhancing engagement of fathers in web-based preventive parenting programs for adolescent mental health: a discrete choice experiment. Int J Environ Res Public Health. Nov 24, 2021;18(23):12340. [CrossRef] [Medline]
  86. Hansen A, Wade C, Yap MBH. Fathers’ perspectives on engaging with web-based parenting programs for adolescent mental health: a qualitative study. Ment Health Prev. Jun 2022;26:200232. [CrossRef]
  87. Morgiève M, Yasri D, Genty C, et al. Acceptability and satisfaction with emma, a smartphone application dedicated to suicide ecological assessment and prevention. Front Psychiatry. 2022;13:952865. [CrossRef] [Medline]
  88. Bell IH, Rossell SL, Farhall J, et al. Pilot randomised controlled trial of a brief coping-focused intervention for hearing voices blended with smartphone-based ecological momentary assessment and intervention (SAVVy): feasibility, acceptability and preliminary clinical outcomes. Schizophr Res. Feb 2020;216:479-487. [CrossRef] [Medline]
  89. Hawker CO, Merkouris SS, Youssef GJ, Dowling NA. A smartphone-delivered ecological momentary intervention for problem gambling (GamblingLess: Curb Your Urge): single-arm acceptability and feasibility trial. J Med Internet Res. Mar 26, 2021;23(3):e25786. [CrossRef] [Medline]
  90. Pot M, Ruiter RAC, Paulussen T, et al. Systematically developing a web-based tailored intervention promoting HPV-vaccination acceptability among mothers of invited girls using intervention mapping. Front Public Health. 2018;6:226. [CrossRef] [Medline]
  91. O’Connor T, Kinsella J, McNamara J, O’Hora D, Meredith D. Learning through design using collaborative intervention mapping with acceptability evaluation: the case of a group-based farm safety intervention. J Agric Educ Ext. May 27, 2021;27(3):403-420. [CrossRef]
  92. Bølstad E, Havighurst SS, Tamnes CK, et al. A pilot study of a parent emotion socialization intervention: impact on parent behavior, child self-regulation, and adjustment. Front Psychol. 2021;12:730278. [CrossRef] [Medline]
  93. England-Mason G, Andrews K, Atkinson L, Gonzalez A. Emotion socialization parenting interventions targeting emotional competence in young children: a systematic review and meta-analysis of randomized controlled trials. Clin Psychol Rev. Mar 2023;100:102252. [CrossRef] [Medline]
  94. Havighurst SS, Wilson KR, Harley AE, Kehoe C, Efron D, Prior MR. “Tuning into Kids”: reducing young children’s behavior problems using an emotion coaching parenting program. Child Psychiatry Hum Dev. Apr 2013;44(2):247-264. [CrossRef] [Medline]
  95. Havighurst SS, Radovini A, Hao B, Kehoe CE. Emotion-focused parenting interventions for prevention and treatment of child and adolescent mental health problems: a review of recent literature. Curr Opin Psychiatry. Nov 2020;33(6):586-601. [CrossRef] [Medline]
  96. Craig L. Does father care mean fathers share?: A comparison of how mothers and fathers in intact families spend time with children. Gend Soc. 2006;20(2):259-281. [CrossRef]
  97. van der Pol LD, Groeneveld MG, van Berkel SR, et al. Fathers’ and mothers’ emotion talk with their girls and boys from toddlerhood to preschool age. Emotion. Dec 2015;15(6):854-864. [CrossRef] [Medline]
  98. Zahra J, Sebire SJ, Jago R. “He’s probably more Mr. sport than me”--a qualitative exploration of mothers’ perceptions of fathers’ role in their children’s physical activity. BMC Pediatr. Aug 26, 2015;15(1):101. [CrossRef] [Medline]
  99. Miller-Chagnon RL, Prince MA, Haddock SA, Zimmerman TS. Exploring within and between associations of momentary mindfulness and emotion regulation and the moderating effects of mental health among adolescents. J Res Adolesc. Mar 2026;36(1):e70114. [CrossRef] [Medline]
  100. Smyth JM, Heron KE. Is providing mobile interventions “just-in-time” helpful? An experimental proof of concept study of just-in-time intervention for stress management. Presented at: 2016 IEEE Wireless Health (WH); Oct 25-27, 2016. [CrossRef]
  101. LeBlanc VR. The effects of acute stress on performance: implications for health professions education. Acad Med. Oct 2009;84(10 Suppl):S25-S33. [CrossRef] [Medline]


EMA : ecological momentary assessment
EMI : ecological momentary intervention
I-PANAS-SF: short-form International Positive and Negative Affect Schedule
S-DERS: state-based version of the Difficulties in Emotion Regulation Scale


Edited by Sherif Badawy; submitted 17.Nov.2025; peer-reviewed by Dianna R Bartsch, Noelle Leonard; final revised version received 08.Jun.2026; accepted 12.Jun.2026; published 14.Sep.2026.

Copyright

© Stefanie Ewald, Tomer Savariego Berkowitz, Storm Hiskens-Ravest, Kelsie Bufton, Maria Bates, Eric O, Matthew Fuller-Tyszkiewicz, Gabriella Louise King, Elizabeth Mary Westrupp. Originally published in JMIR Pediatrics and Parenting (https://pediatrics.jmir.org), 14.Sep.2026.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Pediatrics and Parenting, is properly cited. The complete bibliographic information, a link to the original publication on https://pediatrics.jmir.org, as well as this copyright and license information must be included.