Half of all mental health conditions
begin before age 15.
1 in 7 children worldwide lives with a diagnosable mental health condition (WHO). Most go undetected. Identifying them early, with validated, multi-informant data such as the PSC-17, CBCL, and Conners 3, changes the trajectory.
Most clinicians are
working with half the picture.
To properly assess a child or youth, you need data from parents, guardians, and teachers. They see things in the home and classroom that never make it into a clinical session.
But getting that data is a logistical nightmare. PDFs get lost. Emails go unread. Faxes pile up. The APA recommends multi-informant assessment (CBCL, PHQ-9, SDQ) for all childhood evaluations, but by the time the data arrives, if it arrives at all, the session has already happened and the moment is gone.
Research confirms it: parent-teacher agreement on child behaviour is consistently low: not because one source is wrong, but because each informant sees a different version of the same child.1 Without both, you're guessing.
A link. A moment. Done.
We turn a week-long chase into a same-day stream of scored insights.
Link the informant
Connect a parent, guardian, or teacher to the child's profile in two clicks. They get a secure link. No login, no app, no portal needed.
They complete it anywhere
A validated 10-item scale (PHQ-9, PSC-17, or SDQ) on their phone, completed in under 5 minutes. In the carpool lane. In the break room between classes. Designed for people with no time.
You see it promptly
Auto-scored, visualized, and waiting in the dashboard before the appointment starts. No manual math. No data entry. No waiting.
Who uses child & youth assessments on HiBoop.
Child & Adolescent Psychiatrists
Complex diagnostic workups that require parent, teacher, and self-report data in a single view before prescribing.
Pediatric Clinicians
Annual wellness visits and developmental screening where caregiver forms arrive before the appointment, not after.
School Counselors
Streamlined teacher referrals and multi-informant screening that fits the school day, not a fax machine.
Multidisciplinary Teams
Shared informant data across psychologists, social workers, and pediatricians, everyone sees the same picture.
Three things that change.
What it looks like when you stop chasing data and start receiving it.
Reliability
Guessing based on incomplete files. One data point, if you're lucky.
The full story from the people who know the kid best, home, classroom, and clinic.
Speed
Waiting days, or weeks, for a parent to mail back a form that may never arrive.
Completed in the carpool lane. Scored and visible before the session starts.
Visibility
Static data buried in a PDF. No way to see if things are getting better or worse.
Real-time, trackable insights over time, from multiple informants, on the same timeline.
The scales your team already trusts.
Parent, guardian, and teacher-report versions included where available.
Grounded in the published evidence.
Half of all lifetime mental health cases begin by age 14, and three quarters by age 24. Interventions aimed at prevention or early treatment need to focus on youth.
Kessler RC et al. · Archives of General Psychiatry, 2005 · PMID 15939837
The worldwide pooled prevalence of diagnosable mental disorders in children and adolescents is 13.4% -- approximately 1 in 7. Anxiety and disruptive behaviour disorders are the most common.
Polanczyk GV et al. · Journal of Child Psychology and Psychiatry, 2015 · PMID 25649325
Mental health conditions account for 16% of the global burden of disease and injury in people aged 10-19. Despite this, the majority of young people with mental health conditions remain undetected and untreated.
World Health Organization · Adolescent Mental Health Fact Sheet, 2021 · World Health Organization
Early age of onset is associated with longer duration of untreated illness and poorer clinical and functional outcomes. Intervention during early stages may reduce severity, persistence, and secondary disorders.
McGorry PD et al. · Current Opinion in Psychiatry, 2011 · PMID 21532481
Parent-teacher agreement on child behaviour is consistently low -- not because one is wrong, but because each informant sees a different version of the child. Relying on a single source leaves clinicians with an incomplete picture.
Aitken M et al. · Journal of Affective Disorders, 2019 · PMID 31029857
A study of 1,906 youth and 1,053 caregivers across community mental health settings found that combining youth- and caregiver-reported symptoms data improves the ability to predict and track treatment outcomes over time.
Henderson CE et al. · Psychotherapy Research, 2025 · PMID 39212169
A systematic review of 18 studies found that technology-supported routine outcome monitoring is feasible, acceptable, and effective -- particularly for patients at risk of not responding to treatment.
Gual-Montolio P et al. · Int J Environmental Research and Public Health, 2020 · PMID 32370140
Faster data.
Earlier help.
Every day saved in the data-collection process is a day sooner a child gets the right help. The average diagnostic delay for ADHD is 7 years (Faraone 2021); for autism it is 4 years past first concern (CDC 2023). That's the only metric that matters.
See it in action
A 20-minute walkthrough with a clinician from our team. We'll show you exactly how informant linking works for your workflow.
Browse the assessment library
Explore all 50+ validated assessments including PSC-17, CBCL, Conners 3, SDQ, and more, with scoring details and clinical notes.
1 Aitken M et al. Clinical utility of the CBCL Dysregulation Profile in children with disruptive behavior. J Affect Disord. 2019. PMID 31029857. Parent-teacher agreement was low, particularly for more stringent behavioural definitions.
2 Henderson CE et al. Prediction of adolescent psychotherapy outcomes using youth- and caregiver-reported symptoms data. Psychother Res. 2025. PMID 39212169. Study of 1,906 youth and 1,053 caregivers across community mental health settings.
3 Gual-Montolio P et al. How Are ICTs Supporting Routine Outcome Monitoring in Psychotherapy? Int J Environ Res Public Health. 2020. PMID 32370140. Systematic review of 18 studies: technology-based outcome monitoring was feasible, acceptable, and effective.