Community participation in youth with craniofacial microsomia

Establishing an International Interdisciplinary Research Network in Craniofacial Microsomia: The CARE Program

OBJECTIVE

Craniofacial microsomia (CFM) is a broad clinical term used to describe a congenital condition most commonly involving the underdevelopment of the external ear, mandible, soft tissues, and facial nerve. Despite medical advances, understanding of the psychological health and healthcare experiences of individuals with CFM and their caregivers remains limited. This article describes a research program designed to address these knowledge gaps, and identify opportunities for psychosocial intervention and improved healthcare provision.

DESIGN

The Craniofacial microsomia: Accelerating Research and Education (CARE) research program aims to: 1) Conduct up to 160 narrative interviews with individuals and caregivers to validate a conceptual framework; 2) Administer an online international survey of up to 800 individuals with CFM and caregivers to identify predictors of psychological distress; 3) Perform up to 60 semi-structured interviews with healthcare providers and advocacy leaders to examine the extent to which current healthcare provisions address identified patient needs; and 4) Establish a participant registry to build a longitudinal database and develop an international community.

RESULTS

Teams in the USA and UK have been established, alongside an international, interdisciplinary Advisory Committee. Data analysis for Aim 1 is ongoing and informing the delivery of Aims 2-3. Aim 4 is also in development. A dedicated website serves as a recruitment tool, educational resource, and mechanism for engaging with the CFM community.

CONCLUSIONS

The CARE program provides a comprehensive approach to understanding the experiences of individuals with CFM and their caregivers. Challenges encountered and lessons learned are shared for the benefit of the community.

School participation among young people with craniofacial microsomia and other childhood-onset disabilities

AIM

To examine how school environment, physical functioning problems, and behavioral problems explain levels of school participation (i.e. attendance and involvement) among young people with craniofacial microsomia (CFM) and other childhood-onset disabilities, and whether participation-focused caregiver strategies play a role in these relationships.

METHOD

We conducted secondary analyses of a subset of data (n = 260 families: 120 with CFM and 140 with other childhood-onset disabilities) from the second follow-up phase of a longitudinal cohort study. We applied structural equation modeling with data collected from the Participation and Environment Measure - Children and Youth version, the Child Behavior Checklist, and the Pediatric Quality of Life Inventory physical functioning scale.

RESULTS

Model fit was acceptable to close (comparative fit index = 0.973; root mean square error of approximation = 0.055; standardized root mean squared residual = 0.043; Tucker-Lewis index = 0.958). School environmental support had a positive effect on young people's participation attendance and involvement, and physical functioning problems had a negative effect on participation involvement. The number of disclosed caregiver strategies had a significant positive effect on the relationship between school environmental support and school participation attendance.

INTERPRETATION

Findings confirm the effect of school environmental support and physical functioning problems on school participation and highlight the role of participation-focused caregiver strategies to intensify the positive effect of school environmental support on school participation attendance.

WHAT THIS PAPER ADDS

Environmental support had a positive effect on participation attendance and involvement. Physical functioning problems had a negative effect on school participation involvement. Disclosed caregiver strategies intensified the impact of environmental support on participation attendance.

Parents' Perceptions: Environments and the Contextual Strategies of Parents to Support the Participation of Children and Adolescents with Autism Spectrum Disorder-A Descriptive Population-Based Study from Switzerland

Environments have a modifying effect on the participation of children and adolescents with autism spectrum disorder (ASD) in all areas of life. This cross-sectional study investigated parental perspectives on supportive or hindering environments and the daily contextual strategies parents used to enhance their children's participation. Qualitative and quantitative data gathered from 115 parents from German-speaking Switzerland using the participation and environment measure-child and youth (PEM-CY) were analyzed. Results revealed 45 environmental supports and barriers at home, at school, and in the community. Contextual strategies were identified in combination with people, activities, time, objects, and places. Parental perspectives on participation and their contextual strategies should be considered in environmental-based interventions to support the participation of children and adolescents with ASD.

Caregiver strategies supporting community participation among children and youth with or at risk for disabilities: a mixed-methods study

Introduction

The purpose of this mixed-methods study is to examine the role of caregiver strategies to support community participation among children and youth with disabilities and those at risk, from the caregiver perspective. For the quantitative phase, we tested the hypothesized positive effect of participation-focused caregiver strategies on the relationship(s) between participation-related constructs and community participation attendance and involvement. For the qualitative phase, we solicited caregiver perspectives to explain the quantitative findings.

Methods

An explanatory sequential mixed-methods design (QUAN > qual) was used. For the quantitative phase, we conducted secondary analyses of data collected during a second follow-up phase of a longitudinal cohort study, including 260 families of children and youth (mean age: 13.5 years) with disabilities and those at risk [i.e., 120 families of children and youth with craniofacial microsomia (CFM); 140 families of children and youth with other types of childhood-onset disabilities]. Data were collected through the Participation and Environment Measure-Children and Youth, the Pediatric Quality of Life Inventory, and the Child Behavior Checklist and analyzed using structural equation modeling. For the qualitative phase, we conducted semi-structured interviews with eight caregivers of children and youth with disabilities and those at risk (i.e., three caregivers of children and youth with CFM; five caregivers of children and youth with other childhood-onset disabilities). Interviews were transcribed verbatim and inductively content-analyzed.

Results

Our model reached acceptable to close model fit [CFI = 0.952; RMSEA = 0.068 (90% CI = 0.054-0.082); SRMR = 0.055; TLI = 0.936], revealing no significant effect of the number of participation-focused caregiver strategies on the relationships between participation-related constructs (e.g., activity competence, environment/context) and community participation in terms of attendance and involvement. The qualitative findings revealed three main categories for how caregivers explained these quantitative results: (1) caregiver workload and supports needed for implementing strategies; (2) caregivers careful strategy quality appraisal; and (3) community setting characteristics hindering successful strategy implementation.

Discussion

The findings suggest that the insignificant effect of the number of caregiver strategies may be explained by the intensified need for caregiver effort and support to develop and implement quality strategies that are responsive to community setting characteristics.

Natural Language Processing to Classify Caregiver Strategies Supporting Participation Among Children and Youth with Craniofacial Microsomia and Other Childhood-Onset Disabilities

Customizing participation-focused pediatric rehabilitation interventions is an important but also complex and potentially resource intensive process, which may benefit from automated and simplified steps. This research aimed at applying natural language processing to develop and identify a best performing predictive model that classifies caregiver strategies into participation-related constructs, while filtering out non-strategies. We created a dataset including 1,576 caregiver strategies obtained from 236 families of children and youth (11-17 years) with craniofacial microsomia or other childhood-onset disabilities. These strategies were annotated to four participation-related constructs and a non-strategy class. We experimented with manually created features (i.e., speech and dependency tags, predefined likely sets of words, dense lexicon features (i.e., Unified Medical Language System (UMLS) concepts)) and three classical methods (i.e., logistic regression, naïve Bayes, support vector machines (SVM)). We tested a series of binary and multinomial classification tasks applying 10-fold cross-validation on the training set (80%) to test the best performing model on the held-out test set (20%). SVM using term frequency-inverse document frequency (TF-IDF) was the best performing model for all four classification tasks, with accuracy ranging from 78.10 to 94.92% and a macro-averaged F1-score ranging from 0.58 to 0.83. Manually created features only increased model performance when filtering out non-strategies. Results suggest pipelined classification tasks (i.e., filtering out non-strategies; classification into intrinsic and extrinsic strategies; classification into participation-related constructs) for implementation into participation-focused pediatric rehabilitation interventions like Participation and Environment Measure Plus (PEM+) among caregivers who complete the Participation and Environment Measure for Children and Youth (PEM-CY).

Supplementary Information

The online version contains supplementary material available at 10.1007/s41666-023-00149-y.

Psychosocial and Health-Related Experiences of Individuals With Microtia and Craniofacial Microsomia and Their Families: Narrative Review Over 2 Decades

This paper describes 20 years of microtia and craniofacial microsomia (CFM) psychosocial and healthcare studies and suggests directions for clinical care and research.

A narrative review of papers January 2000 to July 2021 related to psychosocial and healthcare experiences of individuals with microtia and CFM and their families.

Studies (N = 64) were mainly cross-sectional (69%), included a range of standardized measures (64%), and were with European (31%), American (27%), or multinational (23%) samples. Data were generally collected from both patients and caregivers (38%) or patient self-report (35%). Sample sizes were 11 to 25 (21%), 26 to 50 (19%), 51 to 100 (22%), or over 100 (38%). Studies addressed 5 primary topics: (1) Healthcare Experiences, including Medical Care, Hearing Loss/Amplification, Diagnostic Experiences, and Information Preferences; (2) Psychosocial Experiences, including Teasing, Behavioral Adjustment, Psychosocial Support, and Public Perception; (3) Neurocognitive Functioning and Academic Assistance; (4) Pre- and Post-Operative Psychosocial Outcomes of Ear Reconstruction/Canaloplasty; and (5) Quality of Life and Patient Satisfaction.

Care involved multiple specialties and was often experienced as stressful starting at diagnosis. Psychosocial and neurocognitive functioning were generally in the average range, with possible risk for social and language concerns. Coping and resiliency were described into adulthood. Satisfaction and positive benefit of ear reconstruction/canaloplasty were high. Care recommendations include increasing: hearing amplification use, microtia and CFM knowledge among providers, efficient treatment coordination, psychosocial support, academic assistance, and advances to minimize surgical scarring. This broad literature overview informs clinical practice and research to improve psychosocial outcomes.

Capturing and Operationalizing Participation in Pediatric Re/Habilitation Research Using Artificial Intelligence: A Scoping Review

Background

There is increased interest in using artificial intelligence (AI) to provide participation-focused pediatric re/habilitation. Existing reviews on the use of AI in participation-focused pediatric re/habilitation focus on interventions and do not screen articles based on their definition of participation. AI-based assessments may help reduce provider burden and can support operationalization of the construct under investigation. To extend knowledge of the landscape on AI use in participation-focused pediatric re/habilitation, a scoping review on AI-based participation-focused assessments is needed.

Objective

To understand how the construct of participation is captured and operationalized in pediatric re/habilitation using AI.

Methods

We conducted a scoping review of literature published in Pubmed, PsycInfo, ERIC, CINAHL, IEEE Xplore, ACM Digital Library, ProQuest Dissertation and Theses, ACL Anthology, AAAI Digital Library, and Google Scholar. Documents were screened by 2–3 independent researchers following a systematic procedure and using the following inclusion criteria: (1) focuses on capturing participation using AI; (2) includes data on children and/or youth with a congenital or acquired disability; and (3) published in English. Data from included studies were extracted [e.g., demographics, type(s) of AI used], summarized, and sorted into categories of participation-related constructs.

Results

Twenty one out of 3,406 documents were included. Included assessment approaches mainly captured participation through annotated observations (n = 20; 95%), were administered in person (n = 17; 81%), and applied machine learning (n = 20; 95%) and computer vision (n = 13; 62%). None integrated the child or youth perspective and only one included the caregiver perspective. All assessment approaches captured behavioral involvement, and none captured emotional or cognitive involvement or attendance. Additionally, 24% (n = 5) of the assessment approaches captured participation-related constructs like activity competencies and 57% (n = 12) captured aspects not included in contemporary frameworks of participation.

Conclusions

Main gaps for future research include lack of: (1) research reporting on common demographic factors and including samples representing the population of children and youth with a congenital or acquired disability; (2) AI-based participation assessment approaches integrating the child or youth perspective; (3) remotely administered AI-based assessment approaches capturing both child or youth attendance and involvement; and (4) AI-based assessment approaches aligning with contemporary definitions of participation.

Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review

BACKGROUND

In the last decade, there has been a rapid increase in research on the use of artificial intelligence (AI) to improve child and youth participation in daily life activities, which is a key rehabilitation outcome. However, existing reviews place variable focus on participation, are narrow in scope, and are restricted to select diagnoses, hindering interpretability regarding the existing scope of AI applications that target the participation of children and youth in a pediatric rehabilitation setting.

OBJECTIVE

The aim of this scoping review is to examine how AI is integrated into pediatric rehabilitation interventions targeting the participation of children and youth with disabilities or other diagnosed health conditions in valued activities.

METHODS

We conducted a comprehensive literature search using established Applied Health Sciences and Computer Science databases. Two independent researchers screened and selected the studies based on a systematic procedure. Inclusion criteria were as follows: participation was an explicit study aim or outcome or the targeted focus of the AI application; AI was applied as part of the provided and tested intervention; children or youth with a disability or other diagnosed health conditions were the focus of either the study or AI application or both; and the study was published in English. Data were mapped according to the types of AI, the mode of delivery, the type of personalization, and whether the intervention addressed individual goal-setting.

RESULTS

The literature search identified 3029 documents, of which 94 met the inclusion criteria. Most of the included studies used multiple applications of AI with the highest prevalence of robotics (72/94, 77%) and human-machine interaction (51/94, 54%). Regarding mode of delivery, most of the included studies described an intervention delivered in-person (84/94, 89%), and only 11% (10/94) were delivered remotely. Most interventions were tailored to groups of individuals (93/94, 99%). Only 1% (1/94) of interventions was tailored to patients' individually reported participation needs, and only one intervention (1/94, 1%) described individual goal-setting as part of their therapy process or intervention planning.

CONCLUSIONS

There is an increasing amount of research on interventions using AI to target the participation of children and youth with disabilities or other diagnosed health conditions, supporting the potential of using AI in pediatric rehabilitation. On the basis of our results, 3 major gaps for further research and development were identified: a lack of remotely delivered participation-focused interventions using AI; a lack of individual goal-setting integrated in interventions; and a lack of interventions tailored to individually reported participation needs of children, youth, or families.

Caregiver Perspectives on School Participation Among Students With Craniofacial Microsomia

Importance: Knowledge of unmet school participation needs for students with craniofacial microsomia (CFM) can inform decisions regarding intervention support.

Objective: To compare students with and without CFM on school participation (i.e., frequency, involvement, desire for participation to change) and caregivers’ perceptions of environmental support for participation in occupations.

Design: Cross-sectional design using secondary analyses of a subset of data.

Setting: Multisite cohort study.

Participants: Caregivers of students with CFM (n = 120) and of students without CFM (n = 315), stratified by history of education- and health-related service use.

Outcomes and Measures: School participation and environmental support, obtained with the Participation and Environment Measure–Children and Youth.

Results: Significant group differences were found in frequency of school participation (effect size [ES] = −0.38, 95% confidence interval [−0.64, −0.12], p = .005), level of involvement (ES = −0.14, p = .029), and desired change (p = .001), with students with CFM exhibiting greater participation restriction than students without CFM and no history of service use. No statistically significant group differences were found in environmental support for participation in the school setting. Item-level findings showed statistically significant higher desire for participation to change in three of five school occupations (odds ratio = 1.77–2.39, p = .003–.045) for students with CFM compared with students without CFM and no history of service use.

Conclusions and Relevance: The results suggest that students with CFM experience restriction in participation at school.

What This Article Adds: Students with CFM may benefit from targeted school-based interventions to optimize their inclusion.