Iterative and comprehensive mental health assessment and treatment planning: the mental health dashboard
Original Article

Iterative and comprehensive mental health assessment and treatment planning: the mental health dashboard

Penelope Knapp

University of California, Davis, CA, USA

Correspondence to: Penelope Knapp. University of California, Davis, CA, USA. Email: pkknapp@ucdavis.edu.

Background: There is growing recognition of the prevalence of mental health disorders in children, and of the importance for recognition and selective prevention in the pediatric setting. Pediatric Primary Care Clinicians (PPCCs) need a tool to capture their observations, weigh risks against strengths, identify problems, and develop intervention plans, particularly when specialty mental health consultation is lacking or when referral for mental health treatment is difficult.

Methods: A Mental Health Dashboard is described as an innovative clinical tool to organize information about the mental health of children. This tool considers the child’s life situation and clinical manifestations, organized in eight domains, and considering the child’s developmental level. The tool allows identifying symptom patterns of concern, as well as child and family strengths, and guiding intervention planning. Screening tools may augment and anchor the findings.

Results: Case vignettes for a pre-school child with trauma, a school-age child with learning disability and symptoms of ADHD, and an adolescent with mood symptoms and substance use illustrate use of the Dashboard.

Conclusions: Primary Care Clinicians, who know the patient and family, are positioned to identify emerging symptoms as well as family strengths, and to mobilize community resources for intervention planning when the option of specialty mental health referral is not indicated or is unavailable. The Mental Health Dashboard arrays observations and organizes an intervention plan.

Keywords: Pediatric mental health assessment; Dashboard


Received: 19 July 2020; Accepted: 03 June 2021; Published: 28 August 2021.

doi: 10.21037/pm-20-72


Introduction

Pediatric Primary Care clinicians (PPCCs) are positioned to recognize emerging psychosocial problems for primary (universal) prevention and may play a critical role in secondary (selective) prevention by screening, recognizing and responding to children’s mental health needs (1,2). To do this, they need a process to systematically identify and track a broad array of related domains—social and cognitive development, emotion regulation, academic skills, and family environment—involved in healthy psychosocial growth. Currently available screening tools are specific to particular domains or disorders, and do not facilitate decision-making that incorporates a child’s profile of strengths and vulnerabilities.

The ideal tool would enable documenting the emergence of “sub-threshold” psychosocial problems in relation to developmental variations, and allow weighing observed symptoms in relation to the child’s psychosocial context, as well as the strengths in the child and family. A tool to assist in identifying disorders and developing an intervention for selective (secondary) prevention of mental health disorders would strengthen the hand of the PPCC, who knows the child and family, and knows the community resources including, but not limited to specialty mental health referral.

Behavioral and social-emotional problems: what if the diagnosis doesn’t fit the child?

To understand and classify children’s psychiatric disorders, a diagnostic system must take into account genetic predisposition, developmental context, key relationships and earliest experiences. In contrast to the DSM IV (3) and DSM PC (4), the DSM 5 (5) incorporates developmental and lifespan considerations, yet while recognizing that diagnoses may present on a spectrum, still consists of a volume of distinct diagnoses. For every child who meets criteria for a mental health diagnosis, two children have troubled behavior or feelings with consequent functional problems (6). In some primary care settings, as many as 40% of children have significant functional problems, and about one in four meets criteria for at least one diagnosis. Recognizing a sub-threshold condition may be an opportunity for prevention (7). Yet, identification of children’s mental health problems by PPCCs has been shown to be lacking for most (8) and an American Academy of Pediatrics (AAP) membership survey indicated that, excepting uncomplicated ADHD, pediatricians feel unprepared to diagnose, manage or medicate most common child and adolescent psychiatric disorders (9). Although behavioral, psychosocial and educational concerns present in up to 50% of pediatric office visits, detection is lower, especially for younger children and only 4–17% of psychiatric illness is recognized (8). In response to this problem, the AAP Mental Health Task Force developed an algorithm for integrating mental health care into Pediatric Practice (10).

Screening

Screening for developmental delay has been recommended by the AAP at periodic intervals (11,12). It has been widely advocated (13,14) to also use standardized tools to screen for mental health problems, and although logistically feasible (15), these are infrequently employed (16). Validated tools are available, many in the public domain (17), although most focus on specific symptom clusters (e.g., ADHD, depression, anxiety) rather than on core constructs that influence children’s psychosocial development, such as the quality of relationships, cognitive and social strengths, and functional adaptation. Especially in young children, the interplay of environmental, developmental, and emotional issues means that any potential behavioral or emotional problem should be approached initially as a “trouble of unknown origin,” just as fever in a young child often triggers a work-up for causes that are not readily obvious. A broad screening approach is necessary not only to better identify true underlying causes, but also to capture emerging patterns of symptoms that do not reach diagnostic thresholds in any one domain. Otherwise, emerging sub-clinical problems may stay too long below the radar, and opportunities for preventive intervention will be lost. Broad approaches also maximize the chance that if intervention seems indicated, children and families will find some aspect around which they are motivated to engage in further evaluation and treatment.

The challenge of mental health treatment planning in the pediatric medical home

Anecdotally, PPCCs experience frustration in diagnosing a problem for which they feel unable to offer treatment. Treatment planning for identified mental health conditions ideally consists of pre-referral interventions in the pediatric office, efforts to link with school-based or community programs, or, if diagnostic criteria for a DSM-5 or ICD-10-CM disorder exist, in-office treatment and/or referral to a mental health specialist. The AAP has developed strategies to assist pediatric practices to improve mental health care (18). Nonetheless, pediatricians report that they feel pressed to prescribe beyond their scope of practice or comfort level when specialty mental health consultation is not available (19), or to manage children referred back from specialty mental health providers, sometimes on multiple psychotropic medications.

We present the following article in accordance with the MDAR reporting checklist (available at https://dx.doi.org/10.21037/pm-20-72).


Methods

The Mental Health Dashboard: a practical integrated approach

Rationale

Experienced clinicians recognize children’s problems and strengths, but perspective and nuance are hard to capture in the medical record. Often however, the child’s symptoms are mixed or sub-threshold, and don’t meet diagnostic criteria; there are obstacles to referral; and the PPCC is aware of both contextual stressors that may be precipitating the child’s problem, and of strengths in the child and family that may mitigate it. The Mental Health Dashboard is intended to organize these perceptions, engage the family in co-observation of the situation, guide recommendations and management, and track the child’s progress. Screening tools anchor concerns in relation to thresholds for symptom abnormality, but re-application of standardized screening tools focusing on specific symptom clusters at successive clinic visits, to track a child’s progress, is cumbersome and time-consuming in practice.

Time-pressured practitioners need a single brief, practical tool to capture clinical observations, to document the emerging or sub-threshold psychosocial problems vis-a-vis developmental variations (4), to map apparent symptoms in relation to the child’s psychosocial context, to simultaneously record strengths and weaknesses for treatment planning, and to easily track progression over time. The Mental Health Dashboard is proposed as such a tool.

This work did not involve direct patient contact. The vignettes described are hypothetical. Approval by the Ethics committee was not required.

Description

As Shown on Tables 1-4, the Dashboard presents children’s function as a continuum from normal variation through problematic adjustments or adaptations, to emerging psychopathology, including symptoms that meet criteria for a psychiatric diagnosis. Table 1: Child’s Situation notes observations of the child’s psychosocial environment, previous traumatic experiences, primary support for the family, care-giving, functional changes, physical environment, recent events, and health status, and Table 4: Child Manifestations notes observations of the child’s developmental level and to six domains of function in behavioral and social emotional development (I) thinking (cognition, language), (II) attention and executive functions (III) behavior and control of impulses, (IV) modulation of mood and anxiety (V) capacity for relationships (VI) self-regulation, of bodily states and processes, and (VII) gender and sexual development. An eighth domain, substance abuse, can be added for adolescents.

Table 1
Table 1 Clinical silhouette—child’s situation
Full table
Table 2
Table 2 Mental Health Dashboard—child’s situation anchor points
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Table 3
Table 3 Clinical silhouette—child’s manifestations
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Table 4
Table 4 Mental Health Dashboard: child manifestations anchor points
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For each domain, the Dashboard displays Strengths, Expectable status, and Problem indicators or Red Flags, pointing to possible psychiatric diagnoses for severe problems. Selected psychiatric diagnoses are suggested. Graphic display on a single page allows capturing associations between domains, such as school-related anxiety in the child with learning problems, or relationship difficulties in the child who has suffered neglect and abuse, rather than considering them as separate, multiple problems or co-morbid psychiatric diagnoses. Of note, the domain clusters associated with the Dashboard domains are similar to those identified for preschool children (20). Since children develop in the context of their environment, especially the interpersonal environment of their closest relationships, the relationship domain is also tracked.

Screening and assessment instruments already in use may inform some of the Dashboard’s domains. Developmental level, for example, always tracked by the PPCC, may be screened according to guidelines set by the AAP (21), necessary because the child’s behavioral or emotional progress should be understood in relation to her/his developmental capacity. Moreover, assessments of development may change. For example, a neglected or traumatized infant/pre-school child may exhibit developmental delay, but the child may catch up when properly stimulated and cared for, or if the symptoms of trauma resolve. A pre-visit questionnaire can pre-populate the Dashboard and guide focused exploration by the pediatrician once the visit has begun (see Appendix 1 for parent and provider questionnaires that match Dashboard domains).

Table 1 presents a template for practitioner use, and Table 2 presents anchor points.

The child’s situation

Details about the Dashboard domains in this section are found on Table 2. Brief clinical implications are noted here.

Psychosocial environment, supports and relationships

Blighted or troubled attachment begets adaptations by the child that may evolve to resemble psychiatric symptoms, more often seen in children in unstable homes, and in out-of-home placement.

ACEs and traumatic experiences (22)

Inquiry about adverse child experiences (ACEs), stress or trauma should be routine. Toxic stress develops if the adversity is severe or extreme or prolonged with inadequate support from a caregiving adult. This over-activates the child’s stress response system and has been associated with significant health and mental health problems in adulthood.

Primary support

In evaluating parenting patterns, Baumrind’s (23) description of four parenting styles is widely used: authoritative parents consistently provide developmentally appropriate guidance and limits to support learning and shape behavior, and respond warmly to the child’s needs. Authoritarian, Permissive, and Uninvolved parents present challenges for the children’s self-management of impulses or understanding of their own emotions. A red flag is raised if discipline is inconsistent, harsh or developmentally inappropriate.

Parental mental health creates the emotional climate for children who are dependent on the parent for survival. Maternal depression and substance use are associated with child emotional and behavioral problems (24).

Caregiving

Caregiving refers to care by other persons than the parents. The US Department of Labor statistics has shown that in 2020 for children under 18, 71.2% of mothers are employed, despite pandemic-related increase in unemployment (25). Because non-parental care has an important impact on the child, the PPCC should inquire about the quality of this care.

Change in the living environment

Changes in the environment disrupt the child’s functioning or may stress and distract parents and handicap their parenting. Millions of families, at the time of this writing, experience disruption as a result of COVID 19. If a child has been removed from the home, this is typically preceded by troubled attachments or toxic stress, compounding the stress of separation from the parents. This may apply as well to children in the juvenile justice system; 50% to 70% of these youngsters meet criteria for a psychiatric disorder (26).

Physical, economic, legal, and virtual environment

Environmental threats may be physical, e.g., toxic agents such as lead and poor air quality, or social, e.g., poverty, unemployment. Stressed or over-worked parents may substitute excessive screen time to substitute for interacting with their child.

Events

What happens to the family, happens to the child. This includes exposure to violence, disaster, medical and mental illness, and military deployment (26), and most recently the COVID 19 pandemic (27,28).

Migration and asylum-seeking is burgeoning. Even if the child is with a family member, the stress experienced is severe. A recent meta-analysis (29) reveals that for migrating children 22.71% have PTSD, 13.81% have depression, 15.77% have anxiety.

The child’s health status

PPCCs attend first and routinely to the child’s health. They are aware that ill children and children with special health care needs experience stress and other psychological effects as a consequence of their illness or condition (30).

The child’s manifestations

Parents typically appeal to the PPCC for guidance about the difficulties they perceive in their child’s development, behaviors or feelings. These are not couched in diagnostic categories such as externalizing or internalizing behaviors; they fall into domains: problems with learning or language development, problems with attention, impulsivity, fears/worries, moods, troubled relationships, and regulation of appetite or sleep. These are general domains, which roughly map onto diagnostic categories. Before considering assigning a diagnosis the PPCC must consider what difficulties or problems the child is manifesting, whether they are emerging, or prominent, and how they may interact with the child’s overall functioning The Dashboard organizes the appraisal of the child’s mental health by consideration of developmental levels and eight domains shown on Tables 3,4. These are now briefly explained. DSM-5 and ICD 10 CM diagnoses are italicized.

Table 3 presents a template for practitioner use, and Table 4 presents anchor points. Brief clinical implications are noted here.

Developmental Level

PPCCs routinely assess developmental level, and the AAP has published tools to assist (11). Early intervention (EI) improves developmental progress. Recognizing developmental lag underlies rating risk on other Dashboard domains, which are linked to developmental, not chronological age.

Cognition and language

Deficits in intellectual functions, and communication disorders, are usually recognized in preschool or school settings, although parents are often aware of them before. These may be defined by testing, usually in the school, and the PPCC should advise parents to pursue this to qualify the child for educational assistance. Psychosis, even in the prodromal stage, impacts thinking, communication, and self-care. Vigorous intervention is indicated for indicated (tertiary) prevention.

Attention and executive function

Problems with cognitive capacities such as attention, memory, persistence, and problem-solving, broadly termed executive functions, are best identified by history. Attention and executive function are set awry by mood and anxiety disorders and by posttraumatic stress disorder (PTSD), which features hypervigilance or numbing or avoidance. Noting problems with cognitive capacities, particularly attention, does not necessarily indicate a specific diagnosis, and must be viewed in the context of the other domains.

Control of impulses

Symptoms of impulsivity, arguing, defiance, or sudden uncontrolled anger and aggression must be assessed in the context of parenting. If they are associated with inconsistent or punitive parenting, referral for parent management or family therapy is indicated. If they are persistent and not due to child-rearing practices, diagnoses such as oppositional defiant disorder (ODD), intermittent explosive disorder (IED), or conduct disorder (CD) might be considered.

Anxiety and sequelae of trauma exposure

Anxiety is an expectable neurobiological response to stress, and likely mobilizes a person in an adaptive way. Children who have experienced neglect, particularly emotional neglect, must struggle alone with anxiety. However, even with good parenting, anxiety in some children is ignited too easily and is hard to assuage.

Anxiety disorders are not uncommon in children. Sequelae of trauma exposure, which up-regulates the anxiety response, are varied. PTSD, intense and disabling, occurs in response to a catastrophic traumatizing event, causing the child to experience injury or overwhelming threat. Three clusters of symptoms are identified by history-taking: re-experiencing, avoidance of re-exposure, sometimes with psychological numbing, and a constant hyperalert state (increased startle, irritability, anger, or sleep difficulties).

Mood

Mood disorders occur in 14% of adolescents, of whom 4.7% have severe disorders (31). Girls are more often affected; there are no differences statistically by different demographic characteristics. The Bright Futures/AAP periodicity schedule (21) recommends routine depression screening for all adolescent health supervision visits, and the US Preventive Services Task Force also recommends screening children age 12–18 in primary care (32).

Irritability is a symptom both signalling that a child is troubled and it is a symptom troubling to families. If it is severe (tantrums), frequent (≥3 times weekly), chronic (lasting weeks), and persistent (most of every day), and out of proportion to the situation, disruptive mood dysregulation disorder (DMDD) may be present (33). DMDD was developed in the DSM-5 because bipolar disorders were often diagnosed in school-aged children; however, the clinical course is different, and children with DMDD do not benefit from treatment for bipolar disorder.

Capacity for relationships

Earliest attachment underlies the lifelong capacity for relationships. Original studies of attachment have identified that most infants and toddlers have a secure attachment with their primary caregiver. Three insecure attachment styles have been identified: insecure and avoidant, resistant and ambivalent, and disorganized/disoriented (34). Earliest relationships are understood through the transactional model (35). In this model, a child’s behavior is viewed as resulting from transactions among the genotype (biological organization), phenotype personal organization) and environtype (organization of experience in the child’s own family and culture).

The PPCC will note how the child and parent relate, and obtain history about the child’s relationships, whether deep and diverse, their empathy for others, or whether the child is avoidant, isolated, cruel or confrontational. The ability to form and to maintain relationships is affected by many mental health conditions. It is severely limited in autism spectrum disorder and CD, and it may be disrupted in children with impulse control disorders and mood disorders.

Self-regulation

The child learns to self-regulate attention, exuberance, impulses, fears, anger, and aggression through countless daily interactions. This depends on the intactness of the child nervous system and generally nurturing and consistent parenting. It is moderated by temperament (36).

Eating disorders exemplify a serious disruption of regulation, with a lifetime prevalence among 13–18 years old of 2.7%, and are 2.5 times more prevalent in girls (37). Asking how the child or adolescent feels about his/her weight, the PPCC will note verbal and non-verbal results. Screening questionnaires (38) may anchor symptoms. Management requires partnership between primary care and mental health.

Sleep is vital for children and their parents. Distinguishing between the wide range of parents’ concerns about their child’s sleep and the spectrum of sleep disturbances is a large topic, well reviewed by May and Splaingard (39). Sleep problems may be an indication of a medical disorder or a behavioral or psychiatric disorder, or they may be a sequel of poor development of self-regulation.

Gender and sexual development

Differences in gender identity and sexual orientation may render the child a target of discrimination or bullying. On the Dashboard, a strength is noted if the family supports and accepts the child’s choice and wishes; risk is noted if there is distress in the child or family, or conflict about the issue.

Adolescent addiction: substance use and the internet

Adolescents should be formally screened for use of substances. Excessive internet use (e.g., 40 hours/week) that interferes with sleep or function is a topic of increasing concern.

Intervention planning

Table 5 presents an outline for intervention planning. From the domains of the Dashboard, areas of focus for intervention are identified. Table 5 provides space for dated notes and links to a brief summary for intervention planning that identifies the target domain, the objective(s) for specific changes in the child’s behavior in measurable and behavioral terms, the child and family strengths and challenges, and the specific intervention (clinical activity, treatment modality, provider of care, and intended purpose or impact). The Dashboard profile or pattern of domain strengths, weaknesses, and the relationship between domain areas (e.g., relationship difficulties related to impulse control problems) can also be a tool for shared decision-making with the child and family to evaluate and map progress over time. The child’s intervention plan tracks not only symptom reduction in a target domain, but also progression from marginal or expectable function to improved function in other domains. It allows seeing which aspects have improved after intervention, and which have not. For example, improved peer relationships following treatment of anxiety may be displayed, or child with a diagnosis of ADHD, who is also identified with a problem level for the domain of impulse control and anxiety, may show regaining of expectable function in impulse control after psychostimulant treatment, but a continuing problem with anxiety. This would indicate that additional intervention for the anxiety is indicated, or possibly that the medication has worsened the child’s anxiety.

Table 5
Table 5 Intervention plan template
Full table

Children who don’t fit in obvious categories

Finally, diagnostic approaches and diagnostic nosology must incorporate the common clinical wild card: pleomorphic symptoms following neglect, abuse and trauma. Stressful experiences mold the plastic neural connections in the young brain in persisting ways. This has important implications for establishing social-emotional function, resilience and psychopathology (40,41). Foster children, and children in other high-risk groups suffer a higher incidence and prevalence of psychiatric disorders associated with higher exposure to stressful events, and this is frequently compounded by insufficient parental buffering. The Dashboard is designed to capture elements of the child patient’s life experiences and connections with caregivers and to place these in relationship to the symptom clusters that might be sequelae of early dysregulation.


Results

Putting the dashboard into practice

The Dashboard may be a particularly useful tool for training early career pediatricians, or for established practitioners seeking to improve their assessment of children’s mental health, and for re-enforcing the team approach to care. Clinical vignettes for children in three age groups are presented, together with screening tools appropriate to the age and identified problem. For example in the preschool vignette, below, the screening tools used were the Edinburgh Depression Rating Scale (42) for mother, and for the child the Ages and Stages Questionnaire 3 (43), a standardized developmental screen for children 1–66 months screening communication, gross motor, fine motor, problem solving and personal-social areas. Two other vignettes for a school-age child and an adolescent are found in Appendix 2, with screening using the Strength and Difficulties Questionnaire (SDQ) (44), the CRAFFT, a screen for substance use (45), and the PHQ-A (46) for depression. Tables S8-S13 in the Appendix show the Dashboard profiles or patterns for these two cases, and their intervention plans.

Vignette #1: Maria

30-month girl Maria is brought by her 20-year-old mother for a first visit.

Social history

They have just moved to this area to live with Maria’s maternal grandmother. Early stress included domestic violence associated with substance abuse by the father, currently incarcerated. When Maria was 14 months old, her mother fled with her to a shelter for battered women. Maria cried in prolonged terror “until she turned blue”, and mother feared that this might kill her baby. Shelter staff referred mother to county mental health services for suicidal depression, and she was briefly hospitalized. Maria was placed in emergency foster care for four months, until mother was clinically stable and found a place to live. Mother now has no mental health follow-up and is on no medications. The maternal grandmother is a source of emotional support for mother and has a warm relationship with Maria, although she works about 50 hours a week.

Medical history

Reportedly numerous URIs, no hospitalizations. Previous medical records unavailable.

Developmental history

Milestones normal except for speech delay (mother estimates about 30 words).

Social-emotional

Maria has difficulty sleeping, fussy behavior, reckless or overactive tendencies, frequent crying, and oppositionality. With adults outside the family, she is excessively shy and at times obviously frightened of men. Specific inquiry about trauma-related symptoms elicited a history of nightmares, and fear of men, but not other post-traumatic stress symptoms, such as repetitive or disorganized play, avoidant behavior or hyper-vigilance. A strength for Maria and her mother was their close relationship to buffer the stress they had undergone.

Screening

Screening was consistent with the history and clinical presentation, and also pointed to language delay. On the ASQ 3, Maria scored 55 for communication, (indication for referral is a score of 57). On the Edinburgh Depression rating scale Maria’s mother’s score was 13, in the range for possible depression, just below the threshold for likely depressive illness.

Observations

Maria’s physical examination is normal. Mother appears thin and sad. Maria appears anxious and refuses to leave mother’s lap for examination. Affectionate behavior was observed between mother and child, and mother was able to comfort Maria.

Questionnaires filled out by Maria’s mother and the PPCC are shown In Tables 6,7. Drawing from that information, Maria’s initial clinical profile on the Dashboard was constructed (Table 8).

Table 6
Table 6 Questionnaire parent form Maria (Vignette #1)
Full table
Table 7
Table 7 Questionnaire provider form Vignette 1 Maria
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Table 8
Table 8 Clinical silhouette Vignette 1 Maria (initial)
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Collaborative treatment planning

Maria’s mother understood that Maria needed help in catching up with language and that, even though she had established better stability by coming to live with her own mother, Maria might need extra help to completely recover from the frightening experiences in her early life.

Intervention and referral

A referral was made to EI for a language evaluation and an Individualized Family Service Plan (IFSP). Maria’s mother agreed to participate in a parent-toddler group based on the Incredible Years model (47) that also included other families who had experienced trauma. Maria’s mother also acknowledged that she still felt depressed, and she agreed to call the county mental health program. Maria’s intervention plan is shown on Table 9.

Table 9
Table 9 Maria’s treatment plan
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Follow-up

Follow-up after 3 months. Language evaluation documented delay. Maria’s mother received specific guidance to stimulate Maria’s language and vocabulary, with good results. As Maria became better able to express herself using words, she became less clingy and has begun to sleep in her own bed. Maria is “happier”, but still has periods of low mood and is still wary around men. Maria’s mother was evaluated by county mental health and assessed as not clinically impaired enough to qualify for public mental health services; however, she has made new friends and found part-time work, and reports that she feels “confident” and her mood is brighter on most days.

Maria’s Dashboard on follow-up is shown on Table 10, depicting follow-up (T2) observations.

Table 10
Table 10 Clinical Silhouette Maria (follow-up, Time 2)
Full table

Discussion

Diagnosis in developmental and family context

Sometimes it is difficult for the PPCC to name what he/she knows, or a parent, may minimize problems (48). As recognized in the DSMPC (4) the threshold between behavioral or emotional complaints and actual psychiatric symptoms may be unclear, and the stigma of possible mental disorder may muffle important discussion on both sides of the clinical conversation. Children not meeting clinical thresholds for psychiatric disorders nevertheless may have significant symptoms (49), and impairment may predict both the need for and the response to treatment.

The PPCC may sense or recognize that the parent has a mental health or substance abuse disorder. Up to 20% of children live in such families, and are subject to individual, genetic, family, and environmental risks as a result (50). In the US, the 12-month prevalence of mental disorders is estimated to be 32.4% (51), and two-thirds of these individuals are parents (52). It is vital to recognize parental mental disorder, since 30–50% of children who have a parent with a mental disorder will exhibit or develop a psychiatric diagnosis.

As children can neither escape from nor fully master their environmental and relationship contexts, the Dashboard contains domains for the child’s situation. This allows routine and explicit consideration of how observed behavior, emotions and development are moderated by family relationships, social context and life events. The Dashboard combines input from the parent or family with observations by the PPCC in a shared information base. Family engagement is thus operationalized, and planning for preventive intervention or treatment is collaborative, so the family can actively participate in implementing the intervention.

Comorbidity and complexity

Dimensional approaches, in contrast to categorical diagnostic systems (e.g., DSM-IV TR (3), or DSM-PC (4), have recently been invoked in order to extend diagnostic capacity for child psychopathology. This is because boundaries between types of emotions and behaviors are not always easily defined, especially for preschool children. This approach has been termed “breaking apart the phenotype” (53). It permits considering development, adaptation, and social context, as well as emerging scientific findings. A dimensional approach enables recognizing sub-clinical conditions, and if the dimensions include protective factors, will direct selective prevention and identify options for EI. To some extent, the DSM-5 employs a dimensional approach, making it more relevant for primary and secondary psychiatric disorders (54). The Dashboard incorporates multiple problem domains, a situation commonly classified as comorbidity (co-occurrence of two or more psychological disorders) (55). Such co-occurrence has more recently been conceptualized as disorder patterns that are homotypic or heterotypic. Homotypic disorders are defined as those co-occurring in the externalizing spectrum of diagnoses (e.g., ODD plus ADHD) or in the internalizing spectrum, (e.g., anxiety and depressive disorders). Heterotypic disorders co-occur from externalizing and internalizing groups, (e.g., Conduct Disorder with Major Depression). Emerging findings about mechanisms of neurodevelopment begin to identify common genetic factors; these mechanisms influence both homotypic and heterotypic disorders accounting for the observation of overlapping symptoms observed in these disorders. For a summary, see Knapp & Mastergeorge (56).

Since the Dashboard presents an overview of the child and his or her context, this also permits observing clusters of problems rather than counting symptoms and using symptom cutoffs to meet DSM diagnostic specifications. This is consistent with the concepts of Latent Profiles Analysis (LPA) or Latent Class Analysis (LCA) (57).

From prevention to treatment: intervention and care management

The PPCC must treat the whole child, provide preventive anticipatory guidance, know when to pursue more rigorous diagnostic clarity and when to intervene. This is a tall order, and to do it all while deploying a large number of overly specific screening or diagnostic tools, and articulating with fragmented or insufficient mental health services, requires navigating unmarked, occasionally treacherous territory. The Dashboard is proposed as a tool that allows rapid focus on how the child is functioning overall (engine), incorporate screening tools as appropriate (gauges), note what progress he or she is making (speed, fuel level, odometer), and point to the direction for intervention (GPS). Of course, for a vehicle, the dashboard readings do not furnish all the information about how the engine is working or how other drivers behave. Likewise, the Mental Health Dashboard will not substitute for a full diagnostic evaluation or for evidence-based treatment. However, on a practical clinical level it can be a helpful tool for sharing information with and from the child patient and parent.

Implications for integration of primary care and mental health

The AAP has responded to the need for improved capacity and documentation to meet children’s mental health needs in pediatric primary care (58,59). The AAP Mental Health Task Force (MHTF) has developed algorithms to guide recognition and assessment of mental disorders in children and adolescents, paralleling those for developmental disorders (11), as part of a logic model and domain-specific guidance for clinician decision support. Succinct clinical tools provide step-by-step decision support for management of common symptom clusters: anxiety, depression, disruptive behavior and aggression, inattention and impulsivity, as well as substance use, learning difficulties, and social-emotional problems in children 0-5, middle childhood and adolescence (60). Clinician decision support tools include algorithms to lead the practitioner from presenting complaints to diagnostic clusters, as well as guidance about use of screening tools and indications for referral. When a psychiatric diagnosis is evident, when specialty mental health services are either co-located or available, when insurance covers mental health conditions, and when the primary care provider obtains the family’s agreement, these tools open the way for the child to receive care. However, identifying risks for disorders vis-a-vis the child’s strengths is not captured by this model, which calls for a broader approach (60).

The Mental Health Dashboard complements the products of the AAP Mental Health Task Force(MHTF) (18).


Conclusions

A busy practitioner must be able to be both diagnostically nimble and efficient. It is not feasible to conduct extensive diagnostic assessments with multidisciplinary input in thick clinical traffic. The ideal clinical tool in such settings is analogous to a Swiss Army Knife; it has a blade for any necessary function but it fits in a pocket. Moreover, it should be family-friendly, consistent with evidence based standardized tools, interface with an electronic medical record, and allow demonstrating changes over time. It is recognized that adoption of web-based or interactive systems is unlikely unless supported by improved payment and technical assistance (61). Yet troubled children and worried parents are daily clinical fare in the pediatric practice. While a majority of pediatricians agree that they should be responsible for identifying mental health issues in their patients (62), most report that their treatment, with the exception of ADHD, is beyond their scope of practice and should be referred to specialty mental health (63). Pediatricians and child psychiatrists agree (19) that mental health services are not readily available, and even if they were, the vignettes presented illustrate families who have difficulty qualifying for, accepting or affording specialized mental health treatment. Lacking the option of consultation or referral, the Dashboard and associated intervention planning provide the PPCC with a practical, economical approach to systematically identify problems and, collaboratively with parents, devise preventive interventions and track their effects.


Acknowledgments

Grateful acknowledgment to Danielle Laraque and Larry Wissow for input on earlier versions of the work leading to this article.

Funding: None.


Footnote

Provenance and Peer Review: This article was commissioned by the Guest Editors (Danielle Laraque-Arena and Ruth E. K. Stein) for the series “Integrating Mental Health in the Comprehensive Care of Children and Adolescents: Prevention, Screening, Diagnosis and Treatment” published in Pediatric Medicine. The article has undergone external peer review.

Reporting Checklist: The author has completed the MDAR reporting checklist. Available at http://dx.doi.org/10.21037/pm-20-72

Conflicts of Interest: The author has completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/pm-20-72). The series “Integrating Mental Health in the Comprehensive Care of Children and Adolescents: Prevention, Screening, Diagnosis and Treatment” was commissioned by the editorial office without any funding or sponsorship. The author has no other conflicts of interest to declare.

Ethical Statement: The author is accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. This work did not involve direct patient contact. The vignettes described are hypothetical. Approval by the Ethics committee was not required.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Tolan P, Dodge K. Children’s Mental Health as a Primary care and concern: a system for comprehensive support and service. Am Psychol 2005;60:601-14. [Crossref] [PubMed]
  2. Williams J, Klinepeter K, Palmes G, et al. Diagnosis and Treatment of Behavioral Health Disorders in Pediatric Practice. Pediatrics 2004;114:601-6. [Crossref] [PubMed]
  3. American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition. Text Revision (DSM-IV-TR); 2000.
  4. Wolraich ML, Felice ME, Drotar D, editors. The classification of Child and Adolescent Mental Diagnoses in Primary Care: Diagnostic and Statistical Manual for Primary Care (DSM-PC) Child and Adolescent version. Elk Grove Village (IL): American Academy of Pediatrics, 1996.
  5. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM 5). American Psychiatric Association. 2013.
  6. Angold A, Costello EJ, Farmer EMZ, et al. Impaired but undiagnosed. J Am Acad Child Adolesc Psychiatry 1999;38:129-37. [Crossref] [PubMed]
  7. Briggs-Gowan MJ, Owens PL, Schwab-Stone ME, et al. Persistence of psychiatric disorders in pediatric settings. J Am Acad Child Adolesc Psychiatry 2003;42:1360-9. [Crossref] [PubMed]
  8. Weitzman C, Wegner L. American Academy of Pediatrics Section of Developmental and Behavioral Pediatrics, Committee on Psychosocial Aspects of Child and Family Health, and Councils on Early Childhood: Society for Developmental and Behavioral Pediatrics. Promoting optimal development: screening for behavioral and emotional problems. Pediatrics 2015;135:384-95. [Crossref] [PubMed]
  9. Fremont WP, Nastasi R, Newman N, et al. Comfort level of pediatricians and family medicine physicians diagnosing and treating child and adolescent psychiatric disorders. Int J Psychiatry Med 2008;38:153-68. [Crossref] [PubMed]
  10. Algorithm: A Process for Integrating Mental Health Care into Pediatric Practice. Appendix 1. In Foy JM (Editor) Mental Health Care for Children and Adolescents – A guide for Primary Care Clinicians. Istaca, (IL): American Academy of Pediatrics, 2018;815-6.
  11. Weitzman CC, Leventhal JM. Screening for behavioral health problems in primary care. Curr Opin Pediatr 2006;18:641-8. [Crossref] [PubMed]
  12. American Academy of Pediatrics Council on Children with Disabilities, Section on Developmental Behavioral Pediatrics, Bright Futures Steering Committee and Medical Home Initiatives for Children with Special Needs Project Advisory Committee. Identifying infants and young children with developmental disorders in the medical home; an algorithm for developmental surveillance and screening. Pediatrics 2006;118:405-20. [Crossref] [PubMed]
  13. Hagan JF, Shaw JS, Duncan PM. Bright Futures Guidelines for Health Supervision of Infants, Children, and adolescents. 4th ed. Elk Grove Village (IL): American Academy of Pediatrics, 2017:284.
  14. Lannon CM, Flower K, Duncan P, et al. The Bright Futures Training Intervention Project: implementing systems to support preventive and developmental services in practice. Pediatrics 2008;122:e163-71. [Crossref] [PubMed]
  15. Schonwald A, Huntington N, Chan E, et al. Routine developmental screening implemented in urban primary care settings: more evidence of feasibility and effectiveness. Pediatrics 2009;123:660-8. [Crossref] [PubMed]
  16. Habis A, Tall L, Smith J, et al. Pediatric emergency medicine physicians’ current practice and beliefs regarding mental health screening. Pediatr Emerg Care 2007;23:387-93. [Crossref] [PubMed]
  17. Mental Health Tools for Pediatrics. Appendix 2 In Foy JM (Editor) Mental Health Care for Children and Adolescents – A guide for Primary Care Clinicians. Istaca (IL): American Academy of Pediatrics, 2018:817-67.
  18. Foy JM, Kelleher KJ, Laraque DAmerican Academy of Pediatrics Task Force on Mental Health. Enhancing pediatric mental health care: strategies for preparing a primary care practice. Pediatrics 2010;125:S87-108. [Crossref] [PubMed]
  19. Fremont WP, Nastasi R, Newman N, et al. Comfort level of pediatricians and family medicine physicians diagnosing and treating child and adolescent psychiatric disorders. Int J Psychiatry Med 2008;38:153-68. [Crossref] [PubMed]
  20. Sterba S, Egger HL, Angold A. Diagnostic specificity and nonspecificity in the dimensions of preschool psychopathology. J Child Psychol Psychiatry 2007;48:1005-13. [Crossref] [PubMed]
  21. Hagan JF Jr, Shaw JS, Duncan PM. Bright Futures: Guidelines for Health Supervision of Infants, Children and Adolescents. 4th Edition. Elk Grove Village, (IL). American Academy of Pediatrics, 2017.
  22. Bartlett JD, Sacks V. Adverse childhood experiences are different than child trauma, and it’s critical to understand why. Child Trends. 2019. Available online: https://www.childtrends.org/adverse-childhood-experiences-different-than-child-trauma-critical-to-understand-why
  23. Baumrind D. Rearing competent children. In Damon W, editor Child Development Today and Tomorrow. San Francisco (CA): Jossey-Bass, 1989:349-78.
  24. Riley AW, Coiro MJ, Broitman M, et al. Mental health of children of low-income depressed mothers: influences of parenting, family environment, and raters. Psychiatr Serv 2009;60:329-36. [Crossref] [PubMed]
  25. US Bureau of Labor Statistics. Employment Characteristics of Families 2020 Survey. Available online: https://www.bls.gov/news.release/famee.nr0.htm
  26. Underwood LA, Washington A. Mental illness and juvenile offenders. Int J Environ Res Public Health 2016;13:228. [Crossref] [PubMed]
  27. Lee J. Mental Health effects of school closures during Covid 19. Available online: https://www.thelancet.com/journals/lanchi/article/PIIS2352-4642(20)30109-7/fulltext?mod=article_inline
  28. Wagner KD. New Findings about Children’s Mental Health during COVID 19. Psychiatric Times October 7, 2020. Available online: https://www.psychiatrictimes.com/view/new-findings-children-mental-health-covid-19
  29. Blackmore R, Gray KM, Boyle JA, et al. Systematic review and meta-analysis: The Prevalence of Mental Illness in Child and Adolescent Refugees and Asylum Seekers. J Am Acad Child Adolesc Psychiatry 2020;59:705-14. [Crossref] [PubMed]
  30. Ghandour RM, Perry DF, Kogan MD, et al. The medical home as a mediator of the relation between mental health symptoms and family burden among children with special health care needs. Health Serv Res 2008;43:803-9.
  31. Any mood disorder in children. National Institute of Mental Health Web site. Available online: https://www.nimh.nih.gov/health/statistics/any-mood-disorder.shtml
  32. Final Recommendation Statement; Depression in Children and Adolescence Screening. US Preventive ServicesTask Force. February 8, 2016. Available online: https://www.uspreventiveservicestaskforce.org/uspstf/document/RecommendationStatementFinal/depression-in-children-and-adolescents-screening
  33. Disruptive Mood Dysregulation Disorder: The Basics. Available online: https://www.nimh.nih.gov/health/publications/disruptive-mood-dysregulation-disorder/index.shtml
  34. Ainsworth M, Blehar M, Waters E, et al. Patterns of Attachment: A Psychological Study of the Strange Situation. Hillsdale (NJ): Erlbaum, 1978.
  35. Sameroff AJ. Models of development and developmental risk. In: Zeanah CH Jr. Editor. Handbook of Infant Mental Health 2nd Edition. New York (NY): Guilford Press, 1992:3-13.
  36. Temperament: Intensity of reaction. Zero to Three Feb. 5, 2010. Available online: https://www.zerotothree.org/resources/67-temperament-intensity-of-reaction
  37. Eating Disorders. National Institutes of Mental Health Web site. Available online: https://www.nimh.nih.gov/health/topics/eating-disorders/index.shtml
  38. Morgan JF, Reid F, Lacey JH. The SCOFF questionnaire: a new screening tool for eating disorders. West J Med 2000;172:164-5. [Crossref] [PubMed]
  39. May A, Splaingard ML. Sleep Disturbances. In Foy JM editor. Mental Health Care for Children and Adolescents – A guide for Primary Care Clinicians. Istaca, (IL): American Academy of Pediatrics, 2018:701-39.
  40. Heim C, Nemeroff CB. The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies. Biol Psychiatry 2001;49:1023-39. [Crossref] [PubMed]
  41. Perry DB, Pollard RA, Blakley TL, et al. Childhood trauma: the neurobiology of adaptation and 'use-dependent' development of the brain: How states become traits. Infant Ment Health J 1995;16:271-91. [Crossref]
  42. Edinburgh Postnatal Depression Scale. Available online: http://www.dbpeds.org/articles/detail.cfm?TextID=485
  43. Squires J, Bricker D. Ages and Stages Questionnaire Third Edition (ASQ-3) Brookes Publishing. 2009. Available online: http://www.brookespublishing.com/store/books/bricker-asq
  44. Goodman R. The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden. J Child Psychol Psychiatry 1999;40:791-9. [Crossref] [PubMed]
  45. Knight JR, Shrier LA, Bravender TD, et al. A New Brief Screen for Adolescent Substance Abuse. Arch Pediatr Adolesc Med 1999;153:591-6. [Crossref] [PubMed]
  46. Johnson J. PHQ-9 Modified for adolescents. 2002. Available online: https://missionhealth.org/wp-content/uploads/2018/04/Adolescent-Depression-Screening-PHQ-A-Form.pdf
  47. Webster-Stratton C, Reid MJ. The Incredible Years parents, teachers, and children training series: A multifaceted treatment approach for young children with conduct disorders. In: Weisz J, Kazdin A. editors. Evidence-based psychotherapies for children and adolescents. 2nd edition. New York, (NY): Guilford Press, 2010:194-210.
  48. Ring A, Dowrick CF, Humphris GM, et al. The somatizing effect of clinical consultation: What patients and doctors say and do not say when patients present medically unexplained physical symptoms. Soc Sci Med 2005;61:1505-15. [Crossref] [PubMed]
  49. Briggs-Gowan MJ, Owens PL, Schwab-Stone ME, et al. Persistence of psychiatric disorders in pediatric settings. J Am Acad Child Adolesc Psychiatry 2003;42:1360-9. [Crossref] [PubMed]
  50. Reupert AE, Maybery DJ, Kowalenko NM. Children Whose Parents Have a Mental Illness: Prevalence, Need and Treatment. Med J Aust 2013;199:S7-9. [Crossref] [PubMed]
  51. NCS-R twelve-month prevalence estimates. National Comorbidity Survey Web site. Available online: https://www.hcp.med.harvard.edu/ncs/index/php
  52. Nicholson J, Biebel K, Katz-Levy J, et al. The prevalence of parenthood in adults with mental illness: implications for state and federal policymakers, programs and providers. In: Manderscheid R, Henderson M, editors. Mental Health, United States 2002. Rockville (MD): Substance Abuse and Mental Health Services Administration, 2004.
  53. Knapp PK, Jensen PJ. Recommendations for DSM V. In: Jensen PJ, Knapp P, Mrazek DA. editors. Toward a New Diagnostic System for Child Psychopathology: Moving Beyond the DSM. New York (NY): Guilford, 2006:162-82.
  54. Brown TA, Barlow DH. Dimensional versus Categorical Classification of Mental Disorders in the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders and Beyond: Comment on the Special Section. J Abnorm Psychol 2005;4:551-6.
  55. Angold A, Costello J, Erkandi A. Comorbidity. J Child Psychol Psychiatry 1999;40:57-87. [Crossref] [PubMed]
  56. Knapp PK, Mastergeorge A. Clinical Implications of current findings in Neurodevelopment. In: McCarthy M, Hendren RL, Editors. Child and Adolescent Psychiatry for the General Psychiatrist. Psychiatric Clinics of North America 2009:177-97.
  57. Acosta MT, Castellanos FX, Bolton KL, et al. Latent Class Subtyping of Attention-Deficit/Hyperactivity Disorder and Comorbid Conditions. J Am Acad Child Adolesc Psychiatry 2008;47:797-807. [Crossref] [PubMed]
  58. American Academy of Pediatrics (AAP) Task Force on Mental Health. Addressing Mental Health Care in Primary Care: A Clinician's Toolkit. Available online: www.aap.org/pcorss/demos/mht.html
  59. American Academy of Pediatrics Committee on Psychosocial Aspects of Child and Family Health and Task Force on Mental Health. The Future of Pediatrics: Mental Health Competencies for Pediatric Primary Care. Pediatrics 2009;124:410-21. [Crossref] [PubMed]
  60. Knapp P, Laraque-Arena D, Wissow LS. Iterative Mental Health Assessment. In: Foy JM. Mental Health Care for Children and Adolescents – A guide for Primary Care Clinicians. Istaca (IL): American Academy of Pediatrics, 2018:173-226.
  61. Horwitz SM, Hoagwood KE, Garner A, et al. No technological Innovation is a panacea: a case series in quality improvement for primary care mental health services. Clin Pediatr (Phila) 2008;47:685-92. [Crossref] [PubMed]
  62. Stein RE, Horwitz SM, Storfer-Isser A, et al. Do Pediatricians Think They are Responsible for Identification and Management of Child Mental Health Problems? Results of the AAP periodic survey. Ambul Pediatr 2008;8:11-7. [Crossref] [PubMed]
  63. Heneghan A, Garner AS, Storfer-Isser A, et al. Pediatricians’ role in providing mental health care for children and adolescents: do pediatricians and child and adolescent psychiatrists agree? J Dev Behav Pediatr 2008;29:262-9. [Crossref] [PubMed]
doi: 10.21037/pm-20-72
Cite this article as: Knapp P. Iterative and comprehensive mental health assessment and treatment planning: the mental health dashboard. Pediatr Med 2021;4:24.

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