Literature DB >> 34277522

Outcome Measures Following Critical Illness in Children With Disabilities: A Scoping Review.

Julia A Heneghan1, Sarah A Sobotka2, Madhura Hallman3, Neethi Pinto4, Elizabeth Y Killien5, Kathryn Palumbo6, Sinead Murphy Salem7, Kilby Mann8, Barbara Smith9, Rebecca Steuart10, Manzilat Akande11, Robert J Graham7.   

Abstract

Children with disabilities compose a substantial portion of admissions and bed-days in the pediatric intensive care unit (PICU) and often experience readmissions over time. Impacts of a PICU admission on post-discharge health status may be difficult to distinguish from pre-existing disability in this population. Efforts to standardize outcome measures used for children with disabilities may help identify morbidities associated with PICU hospitalizations. Although a scoping review of outcome measures to assess children after episodes of critical illness has recently been published, it is not known to what extent these measures are appropriate for use in children with disabilities. This limits our ability to effectively measure long-term outcomes following critical illness in this important patient population. Through mixed methodology of scoping review and multi-stakeholder consensus, we aimed to identify and describe instruments previously utilized for this purpose and to explore additional tools for consideration. This yielded 51 measures across a variety of domains that have been utilized in the PICU setting and may be appropriate for use in children with disabilities. We describe characteristics of these instruments, including the type of developmental domains assessed, availability of population data, validation and considerations regarding administration in children with disabilities, and ease of availability of the instrument to researchers. Additionally, we suggest needed alterations or accommodations for these instruments to augment their utility in these populations, and highlight areas for future instrument development.
Copyright © 2021 Heneghan, Sobotka, Hallman, Pinto, Killien, Palumbo, Murphy Salem, Mann, Smith, Steuart, Akande and Graham.

Entities:  

Keywords:  children with medical complexity; disabilities; intensive care; outcomes; pediatrics

Year:  2021        PMID: 34277522      PMCID: PMC8283563          DOI: 10.3389/fped.2021.689485

Source DB:  PubMed          Journal:  Front Pediatr        ISSN: 2296-2360            Impact factor:   3.418


Introduction

Episodes of pediatric critical illness may result in mortality or morbidity across a range of domains in a child's functioning. A growing focus among practitioners of pediatric critical care is post-intensive care syndrome-pediatrics (PICS-p), which is characterized by potential changes in multiple domains of functioning in survivors of pediatric critical illness, including neurocognition, physical functioning, social functioning, and health-related quality of life (1). However, many children hospitalized with critical illness have baseline developmental delays and disabilities (2–5). These patients have been shown to be at increased risk for critical illness, as well as for death, prolonged intensive care unit length of stay, and higher medical resource utilization during episodes of critical illness (5–9). In addition, many children with complex medical conditions may be at higher risk for impaired outcomes due to their underlying diseases, susceptibility to adverse effects of therapeutic interventions, or missed educational and therapy experiences while hospitalized, making them among the most vulnerable of pediatric intensive care unit (PICU) patients. Recent work has resulted in a scoping review as well as a core set of outcome measures used to assess children after episodes of critical illness with a focus on these PICS-p domains (10, 11). However, it is not known whether these measures are appropriate for use in children with pre-existing disabilities or complex medical needs, who make up a substantial portion of admissions to the modern PICU (5, 8, 9). Definitions and categorization of medical complexity [e.g., Children with Special Healthcare Needs (12, 13), Complex Chronic Conditions (14), Pediatric Medical Complexity Algorithm (15), Pediatric Chronic Critical Illness (16)] differ, may inconsistently overlap (17, 18), and variably incorporate assessments of functional status. Notably, not all children with medical complexity will have disabilities, and vice versa. This heterogeneity in definitions highlights the need for identifying or developing a range of instruments to capture meaningful and patient-centered outcomes, taking into consideration individual patient baselines, which may differ from population or age-based normal values. We aimed to identify and describe characteristics of instruments that may be useful to all stakeholders, including but not limited to families, intensivists, and continuity providers (e.g., medical, educational, and therapy-based professionals) in the longitudinal evaluation of children with disabilities following critical illness.

Materials and Methods

The Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) network POST-PICU Investigators and the Eunice Kennedy Shriver National Institute for Child Health and Human Development Collaborative Pediatric Critical Care Research Network (CPCCRN) conducted a scoping review of all non-mortality outcomes measured following pediatric critical illness to inform the development of a core outcome set for use in pediatric critical care outcomes research. Details of the scoping review (9) and the core outcome set (10) have been previously published. In brief, PubMed, EMBASE, PsycINFO, Cumulative Index of Nursing and Allied Health Literature, and the Cochrane Central Register of Controlled Trials Registry were queried to identify studies published between 1970 and 2017 evaluating the outcomes of survivors or families after pediatric critical illness. Studies were excluded if no post-discharge outcomes were assessed or if mortality was the only outcome examined; if the included patients were primarily adults (>18 years), preterm infants, or neonates; if the patient had not been definitively admitted to an ICU or there was no clear relationship to ICU care (e.g., only a technical procedure/condition was evaluated); if only a single subject was included; if only psychometric properties of an instrument were evaluated or reported; or if the study was not available in English. Each manuscript was dual reviewed for eligibility and each potentially eligible manuscript was subsequently dual screened for final eligibility, with discrepancies resolved by a third reviewer. Information from each manuscript, including study characteristics, was then separately extracted by two reviewers, with discrepancies resolved through consensus. This scoping review identified 366 unique instruments. Of these, 136 were selected for further review by identifying the five most commonly used instruments in each domain, as well as any instrument used in publications from 2007 to 2017. For the purposes of this study, we included instruments from the prior review where the investigators had indicated use in children with disabilities in order to capture a population likely to overlap with the general PICU population. This yielded 49 instruments. This list was then further narrowed to include only instruments that were used more than once in the scoping review literature base. Instruments were then reviewed by content-area experts (SS, developmental and behavioral pediatrics; KM, pediatric physiatry; BS, pediatric physical therapy) and additional instruments commonly used by experts to assess diverse abilities and disabilities as well instruments which came into use following the conclusion of the scoping review were added. This resulted in a final list of 51 instruments. Additional focused data collection was undertaken to assess how the instruments were used and applied to children with disabilities and to confirm the validity of previously collected data. We abstracted data on instrument characteristics (e.g., suggested age range, reported method and duration of administration, cost, training needed for administration), available information regarding population data for children with disabilities, the types of functioning assessed, and publisher information. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) Checklist was followed (Supplementary Material). Instruments were classified into nine categories [cognitive functioning, executive functioning, communication, physical functioning, social skills, feeding, family functioning and child quality of life, mental health (e.g., anxiety, depression, trauma), and sleep] in order to capture and delineate complex neurodevelopmental outcomes and align with typical neurodevelopmental domains. These differed from the four categories outlined in PICS-p (Physical Health, Cognitive Health, Emotional Health, and Social Health) in order to best capture the intention of the measures designed and terminology used, but physical health likely relates to our physical functioning domain, cognitive health likely includes both cognitive functioning and executive functioning, emotional health likely includes mental health, and social health likely includes family functioning and child quality of life. The additional domains (communication, social skills, feeding, and sleep) were added to build upon the existing PICS-p framework and reflect developmental domains previously tested by studies evaluating post-PICU outcomes. Study data for both the overall scoping review and this project were collected and managed using Research Electronic Data Capture (REDCap) hosted, respectively, at the University of Utah and the University of Minnesota. Included data are presented as frequency for categorical data and median and interquartile range (IQR) for continuous data. Data analysis was performed in R (R Foundation for Statistical Computing; Vienna, Austria).

Results

One hundred thirty-six instruments were identified as being commonly or recently used to measure post-discharge outcomes after PICU care as part of the larger scoping review (10). Of these, 49 (36.0%) instruments were identified as having been used in children with disabilities. Of the 51 instruments ultimately included in this study, 27 (52.9%) were drawn from the primary scoping review; 2 (3.9%) were initially excluded based on only a single use in the scoping review but added back based upon expert opinion. The remaining 24 (47.1%) were included based on expert opinion alone. A flow diagram of instruments is shown in Figure 1. PICS-p domains of focus did not vary significantly between those instruments identified in the scoping review and those identified by expert opinion (data not shown). A list of all included instruments divided by domain of functioning assessed, as well as selected characteristics of each instrument can be found in Tables 1–9.
Figure 1

Flow diagram of included instruments by category.

Table 1

Cognitive functioning.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
A Developmental Neuropsychological Assessment (NEPSY)c, sExecutive Functioning, Communication3–16 yearsSelf-report, clinicianInstrument-specific training45–180 min, in personInitial kit: $1,023Pearson Assessments: NEPSY
Adaptive Behaviour Assessment System (ABAS)p, cPhysical, Social, CommunicationUp to 89 yearsSelf-report, parent or caregiver, teacherInstrument-specific training20 min, in person or electronicInitial kit: $456Pearson Assessments: ABAS
Ages and Stages Questionnaires[p,c,s]Physical, Social, Communication1 month−5.5 yearsParent or caregiverNone10–15 min, in personInitial kit: $295Ages & Stages
Amsterdam Neuropsychological Tasksc, sSocial4–65 yearsSelf-reportNone315–415 min, electronic1 year license: €1600ANT Program
Bayley Scales of Infant and Toddler Development-4p,c,sPhysical, Social, Communication16 days−3.5 yearsClinicianInstrument-specific training3070 min, in personInitial kit: $1169Pearson Assessments: Bayley
Cambridge Neuropsychological Test Automated Battery (CANTAB)c, sExecutive Function, SocialAt least 4 yearsSelf-reportInstrument-specific trainingDepends on modules selected (usually >30 min) electronicFee not availableCANTAB
Child Health Questionnaire (CHQ)p, c, e, sPhysical, Social, Family5–18 yearsSelf-report, parent or caregiverNone5–15 min; in person, via mail, or electronicFee not availableCHQ
Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD)p, c, e, sPhysical, Social, Family5–18 yearsParent or caregiverNone2040 min, in personFreeCPCHILD
Denver Developmental Screening Test II[p,c,s]Physical, SocialUp to 6 yearsClinicianInstrument-specific training10–30 min, in personFee not availableDenver II
Developmental Profile 3 (DP3)p,c,sPhysical, SocialUp to 13 yearsSelf-report, parent or caregiverInstrument-specific training2040 min, in person or by phoneInitial kit: $125DP3
Functional Independence Measures (FIM, WeeFIM)p, cPhysical, Feeding6 months−21 yearsSelf-report, parent or caregiverInstrument-specific training15 min; in person, via mail, or by phoneLicensing: $2,200–4,100FIM/WeeFIM
Functional Status II-R (FSII-R)[p,c,s]Physical, Social, FeedingUp to 16 yearsParent or caregiverNone15 min, in personFree
Functional Status Scale (FSS)p, cPhysical, FeedingUp to 18 yearsClinicianNone<5 min, in person or chart reviewFreeFSS
Glasgow Outcome Scale-Pediatrics (GOSE-Peds)p, c, e, sPhysical, Social, FamilyUp to 16 yearsSelf-report, parent or caregiver, clinicianNone15 min, in person or via phoneFree
Heath State Utility Index (HUI)[p,c,s]Physical, Social5–100 yearsSelf-report, parent or caregiver, clinician, family memberInstrument-specific training3–10 min; in person, by phone, or electronicFree for information available in the literature, additional licensing: $5,000HUI
King's Outcome Scale for Childhood Head Injury (KOSCHI)[p,c,s]Physical, SocialUp to 16 yearsClinicianNoneVariable timing, chart reviewFreeKOSCHI
Pediatric Cerebral Performance Category (PCPC)cUp to 18 yearsParent or caregiver, clinicianNone510 min, in person or chart reviewFree
Pediatric Evaluation of Disability Inventory - Computer Adaptive Test (PEDICAT)[p,c,s]Physical, Social, FeedingUp to 20 yearsSelf-report, parent or caregiver, clinicianNone10–30 min, electronic$2 per administrationPearson Assessments: PEDICAT
Pediatric Overall Performance Category (POPC)p, cPhysicalUp to 21 yearsParent or caregiver, clinicianNone5–10 min, in person or chart reviewFree
Pediatric Quality of Life Inventory (PedsQL)p, c, e, sPhysical, Social, Family1 month−25 yearsSelf-report, parent or caregiverNone4 min; in person, by phone, or via mailFree for unfunded research; $1,089 for funded researchPEDSQL
Snijders-Oomen Non-verbal Intelligence Tests (SON)c2.5–40 yearsClinicianInstrument-specific training60 min, in personInitial kit: £1,550SON
The Capute ScalescCommunication1 month−3 yearsParent or caregiver, clinicianNone620 min, in personInitial kit: $395CAPUTE Scales
Vineland Adaptive Behavior Scale (VABS)[p,c,s]Physical, Social, CommunicationUp to 90 yearsParent or caregiver, clinician, teacherNone20–45 min; in person, via mail, or electronicInitial kit with 1 year license: $295Pearson Assessments: VABS
Visual Motor Integration Test (Beery-Buktenica)c2–100 yearsClinicianDegree or formal training10 min, in personInitial kit: $168Pearson Assessments: Beery-Buktenica
Wechsler Intelligence Scale for Children (WISC-IV)c6–16 yearsClinicianDegree or formal training60–90 min, in personInitial kit: $1,400Pearson Assessments: WISC

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

physical health,

cognitive health, ,

social health.

Table 9

Sleep.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
Children's Sleep Habits Questionnaire1 month−12 yearsParent or caregiverNone15 min, in person, via mailFreeCSHQ (Abbre via ted)

Italicized instruments were included via expert opinion.

Flow diagram of included instruments by category. Cognitive functioning. Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: physical health, cognitive health, , social health. Communication. Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: physical health, cognitive health, social health. Executive functioning. Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: cognitive health, social health. Physical functioning. Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: physical health, cognitive health, emotional health, social health. Social skills. Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: physical health, cognitive health, emotional health, social health. Feeding. Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: physical health, cognitive health, social health. Family functioning and child quality of life. Italicized instruments have been validated with children with disabilities. PICS-p domains are represented as follows: physical health, cognitive health, emotional health, social health. Mental health (e.g., anxiety, depression, trauma). Italicized instruments were included via expert opinion. PICS-p domains are represented as follows: physical health, emotional health, social health. No known prior use in children specifically with disabilities or delay. Sleep. Italicized instruments were included via expert opinion. Despite the fact that all instruments were used in children with disabilities, only 35.3% (n = 18) had any population information available for children with specific disabilities. The instruments were most commonly used to assess children with known cognitive (n = 35, 68.6%) or physical (n = 30, 58.8%) disabilities. The domains of functioning measured by instruments included cognitive functioning (n = 25 instruments, 49.0%), executive functioning (n = 5, 9.8%), communication (n = 8, 15.7%), physical functioning (n = 28, 54.9%), social skills (n = 22, 43.1%), feeding (n = 5, 9.8%), family functioning and child quality of life (n = 5, 9.8%), mental health (including anxiety, depression, and trauma) (n = 8, 15.7%), and sleep (n = 1, 2.0%). A minority of instruments were specifically designed for (n = 20, 39.2%) or validated in (n = 24, 47.1%) populations of children with disabilities, including cerebral palsy, intellectual disabilities, and mobility limitations. This is in contrast to the 78.4% of instruments that had normative data available for the general population. With regard to properties of administration, the targeted biological ages for each instrument were broad, often in concordance with the skills measured by each instrument, with a median minimum age of 12 months (IQR 0-60). Sixteen instruments (31.4%) started at birth, while 16 (31.4%) recommended a chronological age of at least 5 years for administration. Most instruments used in-person assessments (n = 46, 90.2%), while smaller portions used electronic (n = 14, 27.5%), mail (n = 9, 17.6%), or telephone (n = 8, 15.7%) evaluation. Parents and clinicians were the most common informants (n = 25, 49.0% of instruments each), although self-report was also common (n = 24, 47.1%). Eight instruments (15.7%) could be completed by teachers. About half of the instruments (n = 27, 52.9%) did not require special training for administration. When special training was needed for administration, it was usually instrument-specific training (n = 20, 83.3% of instruments requiring special training). Estimated time for instrument completion varied across the 45 instruments for which data were available: 10 taking <10 min, 9 taking 10–15 min, 14 taking 15–30 min, and 12 taking >30 min. Due to the nature of their design (e.g., instruments which consist of a battery of a tests completed directly with a child rather than parent questionnaires reporting on developmental skills), it is uncommon for instruments to be able to be used retrospectively to evaluate baseline function prior to an acute illness (n = 14, 27.5%). However, most instruments can be used prospectively, either in the hospital or in an outpatient clinic setting (62.0 and 98.0%, respectively). Most of the identified instruments (n = 47, 92.2%) can be used repeatedly over time. In terms of accessibility, almost all instruments (n = 41, 80.4%) were available in languages other than English, with 64.7% additionally available in Spanish. In addition to English, the instruments were available in a median of 4 (IQR 1-13.8) languages. Instruments were largely proprietary (n = 33, 64.7%) and required a fee for use (n = 29, 56.9%). Pricing structures varied across instruments (see Tables 1–9 for details).

Discussion

Children with pre-existing disabilities represent a significant portion of admissions to the intensive care unit. Due to their neurodevelopmental vulnerabilities, they are hypothesized to be at even greater risk than typically developing children of accruing new morbidity during episodes of critical illness. Therefore, clinical providers and researchers would be remiss to not explicitly consider this patient population when evaluating outcomes following critical illness, either on an individual or population basis. This study demonstrates both the value of and the challenges inherent in applying commonly used outcome measures to populations of children with disabilities beyond those seen when assessing developmental domains more broadly. Our findings demonstrate lack of population data for children with disabilities, difficulty with validation and administration specifically related to a child's disability, and potential for instruments to suffer from scale attenuation effects, potentially hampering the research necessary to improve critical care delivery to this patient population. Ideally, instruments which are explicitly designed for children with disabilities should be prioritized for use in research when assessing this patient population, but our data suggest that such instruments are rare. Further, our content-area experts identified a number of commonly used measures for the assessment of delay and disability which had not been identified through scoping review, likely because they have not yet (to our knowledge) been applied to the PICU survivor population. These instruments included, as examples, a number of standard assessments of emotional functioning, overall developmental assessments, specific screeners for depression and ADHD, and intellectual assessments. While some of these additions require expertise for administration, others may easily be scored and interpreted using available guides. We hope that the addition of these instruments to our review may be a resource for future researchers. We also acknowledge and encourage the assessment of children after PICU hospitalization via interdisciplinary collaborations. Outcome measurements that coincide with outpatient needs assessment can be coupled to screen and, if indicated, direct patients to appropriate therapies and treatments. As noted below, investigators may also leverage “baseline” assessments, when batteries have been utilized for pre-PICU, school-based, or therapy evaluations. This will potentially allow investigators to determine impacts of PICU hospitalizations as well as contribute to the optimization of long-term supports. Despite the fact that the reviewed instruments have all been used in children with disabilities, populations with heterogeneous disabilities may need nuanced accommodations, and interpretations of population means may differ substantially from normative populations. The majority of instruments (>60%) did not have population data for children with disabilities, whereas nearly 80% of the instruments had population data available for the general population. A population of children with disabilities likely will not be comparable to the general population at the time of onset of critical illness, potentially limiting our ability to effectively interpret their post-illness state. For example, children with existing severe developmental delay are known to have low health-related quality of life (HRQL) scores when examined after septic shock (19), but it is unclear if the low HRQL scores are attributable to critical illness or different norms for HRLQ in a subset of children. It is known that some populations of children with chronic medical conditions, such as cerebral palsy or chronic respiratory failure, have lower baseline HRQL scores than the general population, perhaps due to the heavy representation of physical functioning in many HRQL scores (20–22). Therefore, we would recommend that researchers consider testing that can capture pre-critical illness functioning through retrospective reporting or by aligning with outpatient providers in order to use a change from baseline as a measure of impact. Researchers should understand that while the stated administration ages for these instruments were generally within the pediatric age range, children with disabilities may not be best assessed by an instrument designed or validated in children with typical development, particularly if participation in an instrument involves a domain of comparative weakness (e.g., verbal responses required for a child without expressive speech or the demonstration of fine motor tasks in a child with cerebral palsy). Researchers should be particularly mindful in regards to disabilities that will require accommodation across a variety of assessment tools. For example, children with sensory impairments (e.g., vision impairment or hearing impairment) that limit ability to engage with testing materials or social impairments (e.g., autism spectrum disorder) that limit ability for social response to the examiner may be inappropriately interpreted if examiners do not select or modify an instrument to account for these impairments. In the assessment of intelligence, instead of using the Wechsler Intelligence Scale for Children (WISC-IV), non-verbal children may benefit from non-verbal tests of intelligence, e.g., the Snijders-Oomen Non-verbal Intelligence Tests (23) or the Leiter Scales (24). Additionally, researchers should be mindful that the reported time for administration of these instruments may be extended in situations where children or family members need accommodations for the tool. While ease of instrument administration is an important consideration for any patient or caregiver, it is especially key for families who may already be balancing care for medically fragile children and transporting them to appointments with assistive devices. It is also possible that some measures of neurodevelopmental, psychological, or child functioning may be re-contextualized for the measurement of post-PICU impacts in children with disabilities. For example, children may display hyperactivity or inattention in response to trauma exposure, which may be measured with tools used to diagnose and follow ADHD symptoms. The risk for scale attenuation exists when instruments designed for typically developing children are used for children with disabilities. These instruments may not be sensitive in detecting deterioration for children whose baseline scores are significantly above or below (depending on instrument scoring) population norms. Additional difficulty exists in detecting changes with instruments whose design precludes evaluating baseline function retrospectively. An example of this would be an instrument that consists of a battery of tests for the patient rather than a questionnaire that a caregiver could fill out via recall at the time of PICU admission. Researchers should prioritize instruments that allow for longitudinal assessment with the potential for retrospective data collection and the ability to endure retest scenarios to allow for establishment of the trajectory of recovery or decline after critical illness. Although the larger critical care community also struggles with the challenges of obtaining pre-illness and longitudinal outcomes, this may be particularly true in children with disabilities. Many children with pre-existing disabilities appear to have functional or developmental declines from their pre-illness status following critical illness, concerning for development of a “new baseline” health status. However, this may instead reflect a slower recovery trajectory and long-term monitoring may provide insight into how support services can most appropriately be structured for this population. This is particularly important in a patient population that is vulnerable to recurrent need for hospitalization and the risk of cumulative morbidities. Investigators, however, should appreciate the potential advantage of studying post-PICU outcomes in patients with disabilities. Some children will have undergone community-based neurodevelopmental testing for the provision of educational and therapy services prior to an acute illness. This potentially creates a fortuitous opportunity to compare to a “true baseline” as well as collaborate with longitudinal providers. This is particularly important as assessment during acute illness is not likely to accurately reflect a child's optimal performance, whether they have underlying disabilities or not. This study is limited by the fact that while the inclusion strategy was broad, the initial scoping review may not have adequately queried studies specifically focusing on children with disabilities, particularly when cared for in locations other than the intensive care unit. While patients with pre-existing disabilities may need a more in-depth or individualized testing battery, the scoping review largely focused on instruments used for screening a general PICU population. Additionally, we relied on manual identification of instruments used in this patient population, which may not have been uniformly performed by those extracting data. Some instruments which may be standardly used in educational or neurodevelopmental settings to evaluate functioning in diverse pediatric cohorts may not yet have been used frequently in the PICU population. Finally, the population of children with disabilities is in and of itself heterogeneous, making generalization more challenging. However, we attempted to balance these limitations through the inclusion of specific content area experts in development and behavioral pediatrics, pediatric rehabilitation medicine, and pediatric physical therapy, in addition to inclusion of instruments at the suggestion of the remainder of the authors. Although this work is accompanied by a parallel development of a core outcome set, which included the participation of family members in its Delphi process, we did not specifically examine the outcome domains of families of children with disabilities. However, the literature identifies themes of child physical functioning, quality of life, and feeding/swallowing as important (25, 26). Many of the instruments presented in this manuscript address the identified child-focused outcome domains. However, they do not fully explore important outcomes such as care coordination, satisfaction with care, family finances, or parental outcomes. These are areas for potential further instrument development to ensure meaningful attention to patient- and family-centered outcomes whether children have disabilities or not, and we would encourage consideration of parent/family assessment of instrument utility in the development process. Additionally, little is known about how results of these instruments may be used to trigger educational or other forms of child or family support services. Ideally, these instruments would serve a dual purpose of allowing for monitoring of a patient's recovery from critical illness while also directing access to supportive and rehabilitative services. In sum, our current ability to measure long-term outcomes for children with disabilities who experience critical illness is complicated by instruments which do not allow comparison to pre-PICU baseline and disability-specific administration concerns. Development of measures that are specifically designed for this population is important in an era where these children increasingly experience critical illness and repeated PICU admissions.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author Contributions

JAH and RJG conceived of and designed the project. JAH, SAS, and RJG drafted the manuscript and analyzed and interpreted data. All authors participated in data collection and critical revision of the article and approved the final version of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Table 2

Communication.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
A Developmental Neuropsychological Assessment (NEPSY) c, sCognitive, Executive Functioning3–16 yearsSelf-report, clinician,Instrument-specific training45–180 min, in personInitial kit: $1,023Pearson Assessments: NEPSY
Adaptive Behaviour Assessment System (ABAS) p, cCognitive, Physical, SocialUp to 89 yearsSelf-report, parent or caregiver, teacherInstrument-specific training20 min, in person or electronicInitial kit: $456Pearson Assessments: ABAS
Ages and Stages Questionnaires[p,c,s]Cognitive, Physical, Social1 month−5.5 yearsParent or caregiverNone10–15 min, in personInitial kit: $295Ages & Stages
Bayley Scales of Infant and Toddler Development-4 p,c,sCognitive, Physical, Social16 days−3.5 yearsClinicianInstrument-specific training3070 min, in personInitial kit: $1,169Pearson Assessments: Bayley
Mullen Scales of Early Learningp, cPhysicalUp to 68 monthsSelf-reportDegree or formal training15–60 min, in personInitial kit: $1,030Pearson Assessments: Mullen Scales
Preschool Language Scale 4cUp to 83 monthsClinicianInstrument-specific training2045 min, in personInitial kit: $241Pearson Assessments: PLS4
The Capute ScalescCognitive1 month−3 yearsParent or caregiver, clinicianNone620 min, in personInitial kit: $395CAPUTE Scales
Vineland Adaptive Behavior Scale (VABS) [p,c,s]Cognitive, Physical, SocialUp to 90 yearsParent or caregiver, clinician, teacherNone20–45 min; in person, via mail, or electronicInitial kit with 1 year license: $295Pearson Assessments: VABS

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

physical health,

cognitive health,

social health.

Table 3

Executive functioning.

Instrument NameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
A Developmental Neuropsychological Assessment (NEPSY) c, sCognitive, Communication3–16 yearsSelf-report, clinician,Instrument-specific training45–180 min, in personInitial kit: $1,023Pearson Assessments: NEPSY
ADHD Rating Scale V for Children and Adolescentsc517 yearsParent or caregiver, teacherNone5 min; in person, by phone, via mail, or electronicInitial kit: $131ADHD Rating Scale
Cambridge Neuropsychological Test Automated Battery (CANTAB) c, sCognitive, SocialAt least 4 yearsSelf-reportInstrument-specific trainingDepends on modules selected, (usually >30 min) electronicFee not availableCANTAB
Conner's Rating Scales Revised-Short Version (CRS-R:S)c3–18 yearsSelf-report, parent or caregiver, teacherNone10–20 min, in person or via mailInitial kit: $309Pearson Assessments: Conners
Strengths & Difficulties Questionnaires (SDQ) c, sSocial2–18 yearsSelf-report, parent or caregiver, clinicianNone35 min; in person, by phone, via mail, or electronicFreeSDQ

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

cognitive health,

social health.

Table 4

Physical functioning.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
36-Item Short Form Survey (SF-36)p, e, sSocial, Mental HealthAt least 14 yearsSelf-report, clinicianNone10 min; in person, by phone, via mail, or electronicFreeSF-36
Adaptive Behaviour Assessment System (ABAS)p, cCognitive, Social, CommunicationUp to 89 yearsSelf-report, parent or caregiver, teacherInstrument-specific training20 min, in person or electronicInitial kit: $456Pearson Assessments: ABAS
Ages and Stages Questionnaires[p,c,s]Cognitive, Social, Communication1 month−5.5 yearsParent or caregiverNone10–15 min, in personInitial kit: $295Ages & Stages
Alberta Infant Motor Scale (AIMS)pUp to 18 monthsClinicianInstrument-specific training2030 min, in personFee not available
Bayley Scales of Infant and Toddler Development-4p,c,sCognitive, Social, Communication16 days−3.5 yearsClinicianInstrument-specific training3070 min, in personInitial kit: $1,169Pearson Assessments: Bayley
Child Health Questionnaire (CHQ)p, c, e, sCognitive, Social, Family5–18 yearsSelf-report, parent or caregiverNone5–15 min; in person, via mail, or electronicFee not availableCHQ
Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD)p, c, e, sCognitive, Social, Family5–18 yearsParent or caregiverNone2040 min, in personFreeCPCHILD
CHOP Infant Test of Neurologic Disorders (CHOP-INTEND)pUp to 3 yearsClinicianInstrument-specific training<20 min, in personFreeCHOP-INTEND, designed for children with SMA and other neuromuscular disorders
Denver Developmental Screening Test II[p,c,s]Cognitive, SocialUp to 6 yearsClinicianInstrument-specific training10–30 min, in personFee not availableDenver II
Developmental Profile 3 (DP3) p,c,sCognitive, SocialUp to 13 yearsSelf-report, parent or caregiverInstrument-specific training2040 min, in person or by phoneInitial kit: $125DP3
Functional Independence Measures (FIM, WeeFIM) p, cCognitive, Feeding6 months−21 yearsSelf-report, parent or caregiverInstrument-specific training15 min; in person, via mail, or by phoneLicensing: $2,200–4,100FIM/WeeFIM
Functional Status II-R (FSII-R)[p,c,s]Cognitive, Social, FeedingUp to 16 yearsParent or caregiverNone15 min, in personFree
Functional Status Scale (FSS)p, cCognitive, FeedingUp to 18 yearsClinicianNone<5 min, in person or chart reviewFreeFSS
Gait Outcomes Assessment List (GOAL)p5–18 yearsSelf-report, parent or caregiverNone20–30 min, in person or electronicFree for non-commercial use (including research)GOAL
Glasgow Outcome Scale-Pediatrics (GOSE-Peds)p, c, e, sCognitive, Social, FamilyUp to 16 yearsSelf-report, parent or caregiver, clinicianNone15 min, in person or via phoneFree
Gross Motor Function Classification Systemp2–18 yearsSelf-report, parent or caregiver, clinicianNone5 min, in person, via phone, chart reviewFree for personal, non-commercial useGMFCS-E&R
Hammersmith Infant Neurological ExaminationpFeeding3 months−1 yearClinicianDegree or formal training1015 min, in personFreeHINE
Heath State Utility Index (HUI)[p,c,s]Cognitive, Social5–100 yearsSelf-report, parent or caregiver, clinician, family memberInstrument-specific training3–10 min; in person, by phone, or electronicFree for information available in the literature, additional licensing: $5,000HUI
King's Outcome Scale for Childhood Head Injury (KOSCHI)[p,c,s]Cognitive, SocialUp to 16 yearsClinicianNoneVariable timing, chart reviewFreeKOSCHI
Lansky's Play Performance Scale for Childrenp1–16 yearsParent or caregiverNone<5 min, in personFreeLPPSC, designed for pediatric cancer patients
Motor Function Measure (MFM)p660 yearsClinicianDegree or formal training3050 min, in personFreeMFM
Mullen Scales of Early Learningp, cCommunicationUp to 68 monthsSelf-reportDegree or formal training15–60 min, in personInitial kit: $1,030Pearson Assessments: Mullen Scales
Peabody Developmental Motor Scales Assessment (PMDS-2)pUp to 5 yearsClinicianDegree or formal training45–60 min, in personInitial kit: $585Pearson Assessments: PMDS-2
Pediatric Evaluation of Disability Inventory - Computer Adaptive Test (PEDICAT) [p,c,s]Cognitive, Social, FeedingUp to 20 yearsSelf-report, parent or caregiver, clinicianNone10–30 min, electronic$2 per administrationPearson Assessments: PEDICAT
Pediatric Overall Performance Category (POPC)p, cCognitiveUp to 21 yearsParent or caregiver, clinicianNone5–10 min, in person or chart reviewFree
Pediatric Quality of Life Inventory (PedsQL)p, c, e, sCognitive, Social, Family1 month−25 yearsSelf-report, parent or caregiverNone4 min; in person, by phone, or via mailFree for unfunded research; $1,089 for funded researchPEDSQL
Vineland Adaptive Behavior Scale (VABS)[p,c,s]Cognitive, Social, CommunicationUp to 90 yearsParent or caregiver, clinician, teacherNone20–45 min; in person, via mail, or electronicInitial kit with 1 year license: $295Pearson Assessments: VABS
Zurich Neuromotor Assessmentp5–18 yearsClinicianInstrument-specific training20 min, in personFee not available

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

physical health,

cognitive health,

emotional health,

social health.

Table 5

Social skills.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
36-Item Short Form Survey (SF-36)p, e, sPhysical, Mental HealthAt least 14 yearsSelf-report, clinicianNone10 min; in person, by phone, via mail, or electronicFreeSF-36
Adaptive Behaviour Assessment System (ABAS) p, cCognitive, Physical, CommunicationUp to 89 yearsSelf-report, parent or caregiver, teacherInstrument-specific training20 min, in person or electronicInitial kit: $456Pearson Assessments: ABAS
Ages and Stages Questionnairesp, c, sCognitive, Physical, Communication1 month−5.5 yearsParent or caregiverNone10–15 min, in personInitial kit: $295Ages & Stages
Amsterdam Neuropsychological Tasksc, sCognitive4–65 yearsSelf-reportNone315–415 min, electronic1 year license: €1,600ANT Program
Bayley Scales of Infant and Toddler Development-4 p,c,sCognitive, Physical, Communication16 days−3.5 yearsClinicianInstrument-specific training3070 min, in personInitial kit: $1,169Pearson Assessments: Bayley
Behavior and Emotional Screening System (BASC)e, sMental Health2–25 yearsSelf-report, parent or caregiver, teacherNone1085 min, in person or electronicInitial kit: $453BASC-3
Brief Infant Toddler Social Emotional Assessment (BITSEA)e, sMental Health1236 monthsParent or caregiverNone57 min, in person or by mailFree for clinical use and unfunded researchBITSEA
Cambridge Neuropsychological Test Automated Battery (CANTAB) c, sCognitive, Executive FunctioningAt least 4 yearsSelf-reportInstrument-specific trainingDepends on modules selected (usually >30 min) electronicFee not availableCANTAB
Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD)p, c, e, sCognitive, Physical, Family5–18 yearsParent or caregiverNone2040 min, in personFreeCPCHILD
Child Behavior Checkliste, sMental Health18 months−18 yearsSelf-report, parent or caregiver, teacherNone1520 min; in person, via mail, or electronic$295 for single user licenseChild Behavior Checklist
Child Health Questionnaire (CHQ)p, c, e, sCognitive, Physical, Family5–18 yearsSelf-report, parent or caregiverNone5–15 min; in person, via mail, or electronicFee not availableCHQ
Denver Developmental Screening Test IIp, c, sCognitive, PhysicalUp to 6 yearsClinicianInstrument-specific training10–30 min, in personFee not availableDenver II
Developmental Profile 3 (DP3)p,c,sCognitive, PhysicalUp to 13 yearsSelf-report, parent or caregiverInstrument-specific training2040 min, in person or by phoneInitial kit: $125DP3
Functional Status II-R (FSII-R)p,c,sCognitive, Physical, FeedingUp to 16 yearsParent or caregiverNone15 min, in personFree
Glasgow Outcome Scale-Pediatrics (GOSE-Peds)p, c, e, sCognitive, Physical, FamilyUp to 16 yearsSelf-report, parent or caregiver, clinicianNone15 min, in person or via phoneFree
Harter's Self-Perception Profile for Children and Adolescents (SPPC)s8–18 yearsSelf-report, teacherNone<15 min, in personFreeSPPC
Heath State Utility Index (HUI)p, c, sCognitive, Physical5–100 yearsSelf-report, parent or caregiver, clinician, family memberInstrument-specific training3–10 min; in person, by phone, or electronicFree for information available in the literature, additional licensing: $5,000HUI
King's Outcome Scale for Childhood Head Injury (KOSCHI)p, c, sCognitive, PhysicalUp to 16 yearsClinicianNoneVariable timing, chart reviewFreeKOSCHI
Pediatric Evaluation of Disability Inventory - Computer Adaptive Test (PEDICAT)p, c, sCognitive, Physical, FeedingUp to 20 yearsSelf-report, parent or caregiver, clinicianNone10–30 min, electronic$2 per administrationPearson Assessments: PEDICAT
Pediatric Quality of Life Inventory (PedsQL)p, c, e, sCognitive, Physical, Family1 month−25 yearsSelf-report, parent or caregiverNone4 min; in person, by phone, or via mailFree for unfunded research; $1,089 for funded researchPEDSQL
Strengths & Difficulties Questionnaires (SDQ) c, sExecutive Functioning2–18 yearsSelf-report, parent or caregiver, clinicianNone35 min; in person, by phone, via mail, or electronicFreeSDQ
Vineland Adaptive Behavior Scale (VABS)p, c, sCognitive, Physical, CommunicationUp to 90 yearsParent or caregiver, clinician, teacherNone20–45 min; in person, via mail, or electronicInitial kit with 1 year license: $295Pearson Assessments: VABS

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

physical health,

cognitive health,

emotional health,

social health.

Table 6

Feeding.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
Functional Independence Measures (FIM, WeeFIM) p, cCognitive, Physical6 months −21 yearsSelf-report, parent or caregiverInstrument-specific training15 min; in person, via mail, or by phoneLicensing: $2,200–4,100FIM/WeeFIM
Functional Status II-R (FSII-R)p,c,sCognitive, Physical, SocialUp to 16 yearsParent or caregiverNone15 min, in personFree
Functional Status Scale (FSS)p, cCognitive, PhysicalUp to 18 yearsClinicianNone<5 min, in person or chart reviewFreeFSS
Hammersmith Infant Neurological ExaminationpPhysical3 months−1 yearClinicianDegree or formal training1015 min, in personFreeHINE
Pediatric Evaluation of Disability Inventory - Computer Adaptive Test (PEDICAT)[p,c,s]Cognitive, Physical, SocialUp to 20 yearsSelf-report, parent or caregiver, clinicianNone10–30 min, electronic$2 per administrationPearson Assessments: Pearson Assessments: PEDICAT

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

physical health,

cognitive health,

social health.

Table 7

Family functioning and child quality of life.

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD) p,c,e,sCognitive, Physical, Social5–18 yearsParent or caregiverNone2040 min, in personFreeCPCHILD
Child Health Questionnaire (CHQ) p, c, e, sCognitive, Physical, Social5–18 yearsSelf-report, parent or caregiverNone5–15 min; in person, via mail, or electronicFee not availableCHQ
Family Assessment Device (FAD)At least 12 yearsSelf-report, parent or caregiverNone15–20 min, in personFreeFAD
Glasgow Outcome Scale-Pediatrics (GOSE-Peds) p,c,e,sCognitive, Physical, SocialUp to 16 yearsSelf-report, parent or caregiver, clinicianNone15 min, in person or via phoneFree
Pediatric Quality of Life Inventory (PedsQL) p, c, e, sCognitive, Physical, Social1 month−25 yearsSelf-report, parent or caregiverNone4 min; in person, by phone, or via mailFree for unfunded research; $1,089 for funded researchPEDSQL

Italicized instruments have been validated with children with disabilities. PICS-p domains are represented as follows:

physical health,

cognitive health,

emotional health,

social health.

Table 8

Mental health (e.g., anxiety, depression, trauma).

Instrument nameAdditional domainsSuggested age rangeData sourceTraining for administrationTime and method of administrationCost informationWebsite/additional info
36-Item Short Form Survey (SF-36)p, e, sPhysical, SocialAt least 14 yearsSelf-report, clinicianNone10 min; in person, by phone, via mail, or electronicFreeSF-36
Behavior and Emotional Screening System (BASC)e, sSocial2–25 yearsSelf-report, parent or caregiver, teacherNone1085 min, in person or electronicInitial kit: $453BASC-3
Brief Infant Toddler Social Emotional Assessment (BITSEA)e, sSocial1236 monthsParent or caregiverNone57 min, in person or by mailFree for clinical use and unfunded researchBITSEA
Child Behavior Checkliste, sSocial18 months−18 yearsSelf-report, parent or caregiver, teacherNone1520 min; in person, via mail, or electronic$295 for single user licenseChild Behavior Checklist
Child Depression Inventorye717 yearsSelf-report, parent or caregiverNone15 min, in person or electronicInitial kit: $341CDI
Child Post Traumatic Stress Disorder Symptoms Scalee818 yearsSelf-report, clinicianNone10 min, in personFreePTSD Symptom Scale for DSM V
Davidson Trauma Scalese*At least 18 yearsSelf-reportNone10 min, in personFee not availableDTS
Hospital Anxiety and Depression Score (HADS)eAt least 12 yearsSelf-reportNone20 min, in personFee not availableHADS

Italicized instruments were included via expert opinion. PICS-p domains are represented as follows:

physical health,

emotional health,

social health.

No known prior use in children specifically with disabilities or delay.

  25 in total

Review 1.  Conceptualizing Post Intensive Care Syndrome in Children-The PICS-p Framework.

Authors:  Joseph C Manning; Neethi P Pinto; Janet E Rennick; Gillian Colville; Martha A Q Curley
Journal:  Pediatr Crit Care Med       Date:  2018-04       Impact factor: 3.624

2.  Predicting Health Care Utilization for Children With Respiratory Insufficiency Using Parent-Proxy Ratings of Children's Health-Related Quality of Life.

Authors:  Angie Mae Rodday; Robert J Graham; Ruth Ann Weidner; Norma Terrin; Laurel K Leslie; Susan K Parsons
Journal:  J Pediatr Health Care       Date:  2017-06-16       Impact factor: 1.812

3.  The Leiter scales: a review of validity findings.

Authors:  K J Ratcliffe; M W Ratcliffe
Journal:  Am Ann Deaf       Date:  1979-02

4.  A Healthy Life for a Child With Medical Complexity: 10 Domains for Conceptualizing Health.

Authors:  Elizabeth S Barnert; Ryan J Coller; Bergen B Nelson; Lindsey R Thompson; Thomas S Klitzner; Moira Szilagyi; Abigail M Breck; Paul J Chung
Journal:  Pediatrics       Date:  2018-08-17       Impact factor: 7.124

Review 5.  Defining Pediatric Chronic Critical Illness for Clinical Care, Research, and Policy.

Authors:  Miriam C Shapiro; Carrie M Henderson; Nancy Hutton; Renee D Boss
Journal:  Hosp Pediatr       Date:  2017-04

Review 6.  Children with medical complexity: an emerging population for clinical and research initiatives.

Authors:  Eyal Cohen; Dennis Z Kuo; Rishi Agrawal; Jay G Berry; Santi K M Bhagat; Tamara D Simon; Rajendu Srivastava
Journal:  Pediatrics       Date:  2011-02-21       Impact factor: 7.124

7.  An epidemiologic profile of children with special health care needs.

Authors:  P W Newacheck; B Strickland; J P Shonkoff; J M Perrin; M McPherson; M McManus; C Lauver; H Fox; P Arango
Journal:  Pediatrics       Date:  1998-07       Impact factor: 7.124

8.  Developmental needs of infants and toddlers who require lengthy hospitalization.

Authors:  H M Feldman; D L Ploof; D Hofkosh; E L Goehring
Journal:  Am J Dis Child       Date:  1993-02

9.  Family-centered assessment and function for children with chronic mechanical respiratory support.

Authors:  Robert J Graham; Angie Mae Rodday; Susan K Parsons
Journal:  J Pediatr Health Care       Date:  2013-08-12       Impact factor: 1.812

10.  Health-Related Quality of Life After Community-Acquired Septic Shock in Children With Preexisting Severe Developmental Disabilities.

Authors:  Kathleen L Meert; Ron W Reeder; Aline B Maddux; Russell Banks; Robert A Berg; Christopher J Newth; Mark W Hall; Michael Quasney; Joseph A Carcillo; Patrick S McQuillen; Peter M Mourani; Ranjit S Chima; Richard Holubkov; Samuel Sorenson; Julie McGalliard; J Michael Dean; Jerry J Zimmerman
Journal:  Pediatr Crit Care Med       Date:  2021-05-01       Impact factor: 3.971

View more
  3 in total

1.  Challenges Remain to Assess Post-ICU Morbidity and Identify Attributable Risk in Children With Pediatric Acute Respiratory Distress Syndrome.

Authors:  Anoopindar K Bhalla; Robinder G Khemani
Journal:  Pediatr Crit Care Med       Date:  2022-07-01       Impact factor: 3.971

2.  PICU Survivorship: Factors Affecting Feasibility and Cohort Retention in a Long-Term Outcomes Study.

Authors:  Sarah A Sobotka; Emma J Lynch; Ayesha V Dholakia; Anoop Mayampurath; Neethi P Pinto
Journal:  Children (Basel)       Date:  2022-07-13

3.  What challenges still exist in the critical care of children?

Authors:  Fola Odetola; John Pappachan
Journal:  BMC Pediatr       Date:  2022-10-13       Impact factor: 2.567

  3 in total

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