Parental Concerns, Developmental Temperature Taking, and the Necessary Conditions for Developmental Surveillance and Screening

Clinical utility and psychometric properties of tools for early detection of developmental concerns and disability in young children: A scoping review

AIM

To explore the clinical utility and psychometric properties of standardized tools for the early detection of developmental concerns or disability in young children.

METHOD

Systematic reviews and clinical practice guidelines containing psychometric data on tools appropriate for use with children from birth to 5 years 11 months were searched for in MEDLINE, CINAHL, Embase, and PsycINFO for the years 2000 to 2023, with no language restrictions.

RESULTS

Eighty-six systematic reviews and six clinical practice guidelines guided identification of tools. A total of 246 tools were identified across domains of neurological, motor, cognition, communication/language, social-emotional, sensory processing, and/or specific diagnostic conditions of attention-deficit/hyperactivity disorder, autism spectrum disorder, cerebral palsy, developmental coordination disorder, and fetal alcohol spectrum disorder. After critical evaluation, 67 tools were included in the recommendations. Recommendations for screening and diagnostic assessment tools were based on best available evidence for predictive and discriminative validity, diagnostic accuracy, together with consideration of resource use and accessibility.

INTERPRETATION

This comprehensive scoping review provides recommendations on the best tools for primary care, medical, allied health professionals, nursing, and other health workers to detect and identify developmental concerns or disability in young children using evidence-based tools.

Developmental characteristics of young children in a low-income South African community

Adequate early childhood development is critical for later-life success. Developmental profiles of specific populations are required to support implementation of early intervention services. Three hundred fifty-three caregivers of children with mean age 17.9 months (SD = 10.5) were selected from a primary healthcare clinic. Overall positive identification of signs of a developmental delay, with the Bayley Scales of Infant and Toddler Development III, was 51.8% (n = 183). Logistic regression analysis determined the effect of age and gender on results. Prevalence of developmental delay increased with age from 33.1% for children under 12 months to 61.7% and 66.3% for children between 13-24 months and 25-36 months, respectively. Females were 1.82 times (95% CI [1.16, 2.85]) more likely to have had no signs of developmental delay; 2.30 times (95% CI [1.14, 4.65]) in motor and 2.06 times (95% CI [1.23, 3.45]) in adaptive behaviour domains. One-third of children presented with low levels of adaptive behaviour functioning. One hundred and one (28.6%) participants across age groups displayed superior social-emotional ability, possibly due to familial structures and relationships. One-third of children presented with poor adaptive behaviour function, attributed to cultural differences. This study contributes to information on developmental characteristics of children in South Africa.

Implementation of a Physician Incentive Program for 18-Month Developmental Screening in Ontario, Canada

OBJECTIVES

To evaluate factors associated with uptake of a financial incentive for developmental screening at an enhanced 18-month well-child visit (EWCV) in Ontario, Canada.

STUDY DESIGN

Population-based cohort study using linked administrative data of children (17-24 months of age) eligible for EWCV between 2009 and 2017. Logistic regression modeled associations of EWCV receipt by provider and patient characteristics.

RESULTS

Of 910 976 eligible children, 54.2% received EWCV (annually, 39.2%-61.2%). The odds of assessment were lower for socially vulnerable children, namely, those from the lowest vs highest neighborhood income quintile (aOR, 0.84; 95% CI, 0.83-0.85), those born to refugee vs nonimmigrant mothers (aOR, 0.90; 95% CI, 0.88-0.93), and to teenaged mothers (aOR, 0.70; 95% CI, 0.69-0.71)). Children were more likely to have had developmental screening if cared for by a pediatrician vs family physician (aOR, 1.28; 95% CI, 1.13-1.44), recently trained physician (aOR, 1.38; 95% CI, 1.29-1.48 for ≤5 years in practice vs ≥21 years) and less likely if the physician was male (aOR, 0.64; 95% CI, 0.61-0.66). For physicians eligible for a pay-for-performance immunization bonus, there was a positive association with screening.

CONCLUSIONS

In the context of a universal healthcare system and a specific financial incentive, uptake of the developmental assessment increased over time but remains moderate. The implementation of similar interventions or incentives needs to account for physician factors and focus on socially vulnerable children to be effective.

Validity of the Early Years Check-In (EYCI) in a Cross-Sectional Sample of Families

Background: The objective of the present study was to develop and test the validity of the Early Years Check-In (EYCI), a new tool that measures parent and educator concerns regarding children's development. The study examined the EYCI's agreement with 3rd edition of the Bayley Scales of Infant and Toddler Development (BSID-III) an established measure of child development. Two possible thresholds were explored: one to identify children with a probable delay, and another to identify children at the borderline functioning threshold. Methods: Parents of children aged 18 to 42 months were recruited from childcare settings across Ontario, Canada. The study proceeded in two phases. Phase I, intended to pilot the measure, included 49 children. Phase II, a test of the validity of the final version, included 199 children. Parents and educators completed the EYCI for the child, while a blinded assessor completed the BSID-III. Results: The EYCI demonstrated good sensitivity and specificity (86 and 82%, respectively) as a parent-completed tool that identifies children with a probable delay. However, the positive predictive value (15%) suggests the EYCI is likely to over identify children. When identifying children who demonstrated borderline delay, the EYCI demonstrated good sensitivity (80%) but poor specificity (49%). Results from educator-completed EYCIs were poor for both probable and borderline delay. Conclusions: While further research is required, the EYCI shows promise as a parent-completed tool, particularly to identify more-severe cases of delay. Results with educators were poor overall. Future research investigating accuracy of educators in different types of early childcare centres is needed.