Associations between State Economic and Health Systems Capacities and Service Use by Children with Special Health Care Needs

Testing a Tailored Social-Ecological Model for Autism Spectrum Disorders

OBJECTIVE

To propose a tailored social ecological model for Autism Spectrum Disorders and explore relationships between variables in a large nationally-representative dataset.

METHODS

A tailored social-ecological model was developed and examined across variables in the 2016/2017 National Survey of Children's Health. A series of iterative multivariable logistic regressions were performed including individual, family, and community/neighborhood variables. A multivariable logistic regression using state-level fixed effects was performed to understand dynamics related to macro-level policies.

RESULTS

In the full model, gender, disability severity, certain types of insurance coverage and household income were significantly related to ASD diagnosis. Females had lower odds of a diagnosis compared to males (aOR: 0.27; CI:0.18-0.41). Children with at least one other moderate/severe disability had odds 7.61 higher (CI:5.36-10.82) of a diagnosis than children without moderate/severe disabilities. Children with public insurance only (aOR:1.66; CI:1.14-2.41) or both private and public insurance coverage (aOR: 2.62; CI:1.6-4.16) had higher odds of a diagnosis compared to children with private insurance only. For those who reported it was "somewhat" or "very often" hard to cover basics with their income, odds of a diagnosis were higher compared to those who reported it was "never" or "hardly ever" hard to cover basics (aOR: 1.676; CI:0.21-2.56).

CONCLUSIONS FOR PRACTICE

Patterns of ASD diagnosis are related to individual and family characteristics. There is some evidence that a child's environment has some relationship to reported ASD diagnosis. Professionals should be aware of an individual's environmental factors or context when assessing for ASD.

Towards translational health policy: Findings from a state evaluation of programs targeting children with special health care needs

PURPOSE

Current evidence-based research suggests that early evaluation, comprehensive care plans, and appropriate referrals for childhood and adolescent behavioral and development needs is critical for successful family-centered outcomes. The overall purpose of this study was to conduct an assessment of a state public health program that offers diagnostic evaluation and coordination for children with behavioral and developmental disorders in the state of Virginia (Child Development Center programs, or CDC). A secondary purpose was to provide translational policy and advocacy targets based on key findings.

DESIGN AND METHOD

The evaluation of the scope of services of the CDC programs was done using qualitative interviews with a focus group interview (n = 23), interviews from representatives from individual centers ( n = 5 centers), and descriptive quantitative data elements for the fiscal year 2015.

RESULTS

After conducting the state public health evaluation, several translational health policy priorities emerged, including: (a) the need for integrated data standards, (b) Lack of developmental pediatric workforce, particularly in rural sectors of the state, and (c) Need for enhanced program support for care coordination.

CONCLUSION

Academic nurse and public health partnerships can aid in translation from research to policy among vulnerable populations and assist in communication to key stakeholders and legislators for iterative action and reassessment.