Development of a 12 month screener based on items from the Bayley II Scales of Infant Development for use in Low Middle Income countries

Diagnostic accuracy of ASQ for screening of neurodevelopmental delays in low resource countries

OBJECTIVE

The Bayley Scales of Infant Development (BSID) is the most used diagnostic tool to identify neurodevelopmental disorders in children under age 3 but is challenging to use in low-resource countries. The Ages and Stages Questionnaire (ASQ) is an easy-to-use, low-cost clinical tool completed by parents/caregivers that screens children for developmental delay. The objective was to determine the performance of ASQ as a screening tool for neurodevelopmental impairment when compared with BSID second edition (BSID-II) for the diagnosis of moderate-to-severe neurodevelopmental impairment among infants at 12 and 18 months of age in low-resource countries.

METHODS

Study participants were recruited as part of the First Bites Complementary Feeding trial from the Democratic Republic of Congo, Zambia, Guatemala and Pakistan between October 2008 and January 2011. Study participants underwent neurodevelopmental assessment by trained personnel using the ASQ and BSID-II at 12 and 18 months of age.

RESULTS

Data on both ASQ and BSID-II assessments of 1034 infants were analysed. Four of five ASQ domains had specificities greater than 90% for severe neurodevelopmental delay at 18 months of age. Sensitivities ranged from 23% to 62%. The correlations between ASQ communications subscale and BSID-II Mental Development Index (MDI) (r=0.38) and between ASQ gross motor subscale and BSID-II Psychomotor Development Index (PDI) (r=0.33) were the strongest correlations found.

CONCLUSION

At 18 months, ASQ had high specificity but moderate-to-low sensitivity for BSID-II MDI and/or PDI <70. ASQ, when administered by trained healthcare workers, may be a useful screening tool to detect severe disability in infants from rural low-income to middle-income settings.

TRIAL REGISTRATION NUMBER

NCT01084109.

A Prediction Model for Detecting Developmental Disabilities in Preschool-Age Children Through Digital Biomarker-Driven Deep Learning in Serious Games: Development Study

Background

Early detection of developmental disabilities in children is essential because early intervention can improve the prognosis of children. Meanwhile, a growing body of evidence has indicated a relationship between developmental disability and motor skill, and thus, motor skill is considered in the early diagnosis of developmental disability. However, there are challenges to assessing motor skill in the diagnosis of developmental disorder, such as a lack of specialists and time constraints, and thus it is commonly conducted through informal questions or surveys to parents.

Objective

This study sought to evaluate the possibility of using drag-and-drop data as a digital biomarker and to develop a classification model based on drag-and-drop data with which to classify children with developmental disabilities.

Methods

We collected drag-and-drop data from children with typical development and developmental disabilities from May 1, 2018, to May 1, 2020, via a mobile application (DoBrain). We used touch coordinates and extracted kinetic variables from these coordinates. A deep learning algorithm was developed to predict potential development disabilities in children. For interpretability of the model results, we identified which coordinates contributed to the classification results by applying gradient-weighted class activation mapping.

Results

Of the 370 children in the study, 223 had typical development, and 147 had developmental disabilities. In all games, the number of changes in the acceleration sign based on the direction of progress both in the x- and y-axes showed significant differences between the 2 groups (P<.001; effect size >0.5). The deep learning convolutional neural network model showed that drag-and-drop data can help diagnose developmental disabilities, with an area under the receiving operating characteristics curve of 0.817. A gradient class activation map, which can interpret the results of a deep learning model, was visualized with the game results for specific children.

Conclusions

Through the results of the deep learning model, we confirmed that drag-and-drop data can be a new digital biomarker for the diagnosis of developmental disabilities.

Validation of the Malawi Developmental Assessment Tool for children in the Dominican Republic: Preliminary results

Background

This study initiated the validation process of a translated and adapted version of the Malawi Developmental Assessment Tool (MDAT) for children in the Dominican Republic (DR). Like Malawi before the development of the MDAT, the DR did not have early childhood development (ECD) tools explicitly designed for low-resource areas that are also valid assessments of child development. We chose MDAT because it underwent a rigorous validation process and retained measurements of test items that were culturally adaptable from the Denver Developmental Screening Test II. We aimed to test the internal consistency and inter-rater reliability of the MDAT in children under the age of two years living in low-income neighborhoods in Santo Domingo in 2017.

Methods and findings

Forty-two children from 2 to 24 months of age (mean = 11.26, SD = 6.37, boys = 22, girls = 20) and their corresponding caregiver participated in the study. We conducted a cross-sectional, pre-experimental study. The primary outcome measure was an index of ECD, as assessed by the Dominican adaptation of the MDAT. The tool evaluates children in four domains: social, fine motor, language, and gross motor. To determine internal consistency, we obtained Spearman-Brown split-half reliability for each sub-scale. The results showed a good consistency (>.6) for social, fine motor, and gross motor, and an acceptable consistency (>.5) for language. Second, to test the inter-rater reliability, we conducted a Kendall’s Taub test of independence for both the general scale and each sub-scale. Significant r_τ scores ranged from .923 to .966, indicating appropriate inter-rater reliability. Third, we correlated the age variable with each subscale to determine if the development scale followed a progression of abilities that are expected to increase with maturation. The age variable correlated positively with all the subscales (social r = .887, p < .001; fine motor r = .799, p < .001; language r = .834, p < .001; gross motor r = .805, p < .001), indicating that the older the child, the better scores in the development measurements, as expected. There were no adverse events. This study, however, has multiple limitations. We did not gather information about socioeconomic position, which is an important variable when assessing child development; however, all participants lived in a low-income neighborhood. Given that this is the first ECD tool specific to the Dominican Republic, norm-referenced scores for the Dominican population do not yet exist. This study sample size is insufficient to make inferences about the national population.

Conclusions

This study represents the first attempt to obtain a valid tool to screen for development milestones in children living in poverty in the DR. More research is needed to refine the instrument. The availability of the tool will enable impact evaluations of ECD intervention programs and the development of evidence-based public policies in the DR.

Home-Based Early Intervention and the Influence of Family Resources on Cognitive Development

OBJECTIVE

To investigate whether early developmental intervention (EDI) can positively affect the trajectories of cognitive development among children from low-resource families.

METHODS

Longitudinal analyses were conducted of data from 293 children in the Brain Research to Ameliorate Impaired Neurodevelopment Home-based Intervention Trial, a randomized controlled trial of a home-based EDI program, to examine trajectories of Bayley Scales of Infant Development-Second Edition Mental Development Index (MDI) scores from 12 to 36 months of age among young children from high- and low-resource families in 3 low- to middle-resource countries.

RESULTS

A 3-way interaction among family resources, intervention group, and age was statistically significant after controlling for maternal, child, and birth characteristics (Wald χ(2)(1) = 9.41, P = .002). Among children of families with high resources, both the intervention and control groups had significant increases in MDI scores over time (P < .001 and P = .002, respectively), and 36-month MDI scores for these 2 groups did not differ significantly (P = .602). However, in families with low resources, the EDI group displayed greater improvement, resulting in significantly higher 36-month MDI scores than the control group (P < .001). In addition, the 36-month MDI scores for children in families with low resources receiving EDI did not differ significantly from children from high-resource families in either the EDI (P = .509) or control (P = .882) groups.

CONCLUSIONS

A home-based EDI during the first 3 years of life can substantially decrease the developmental gap between children from families with lower versus higher resources, even among children in low- to middle-resource countries.

The Effects of a Home-based Intervention Conducted by College Students for Young Children with Developmental Delays in Vietnam

OBJECTIVES

The project assessed the efficacy of a home-based intervention program for young children (n= 64, ages ranging from 3-6 years) with developmental delays in Vietnam. It was hypothesized that the children in the intervention group would show greater progress in adaptive behavior than the children in the control group.

METHODS

Assessment of the program efficacy was carried out by comparing children who received services for 6 months and those who did not. Children who were recognized as having developmental delays by teachers in kindergarten programs, and confirmed by trained evaluators based on the Vineland Adaptive Behavior Scale-II (VABS-II), were randomly assigned to intervention and control groups. Twenty student teachers were recruited from a teaching university and were provided with pre-program training and ongoing supervision.

RESULTS

The outcomes of the program were examined at 0, 3, and 6 months using the VABS-II. The intervention group improved significantly more than the control group in overall adaptive functioning and in the areas of communication, social skills and motor skills.

CONCLUSION

The project is one of only a few early intervention projects to apply randomized control trials in a low-middle-income country. The results demonstrate the feasibility of carrying out the intervention program using teachers with no prior experience of working with children with delays/disabilities, where professional resources are scarce for this population.

The Global Network for Women's and Children's Health Research: A model of capacity-building research

In response to the global effort to accelerate progress towards the Millennium Development Goals 4 and 5, a partnership was created between the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the Bill and Melinda Gates Foundation to establish the Global Network for Women's and Children's Health Research (Global Network) in 2000. The Global Network was developed with a goal of building local maternal and child health research capacity in resource-poor settings. The objective of the network was to conduct research focused on several high-need areas, such as preventing life-threatening obstetric complications, improving birth weight and infant growth, and improving childbirth practices in order to reduce mortality. Scientists from developing countries, together with peers in the USA, lead research teams that identify and address population needs through randomized clinical trials and other research studies. Global Network projects develop and test cost-effective, sustainable interventions for pregnant women and newborns and provide guidance for national policy and for the practice of evidence-based medicine. This article reviews the results of the Global Network's research, the impact on policy and practice, and highlights the capacity-building efforts and collaborations developed since its inception.