Provider Responses to Positive Developmental Screening: Disparities in Referral Practices?

OBJECTIVES: Guidelines recommend universal screening for developmental concerns in young children in pediatric primary care, with referral to early intervention (EI) as early as possible for children with a positive screen. However, participation in EI differs by child race, ethnicity, language, and sex. This study evaluated disparities in rates of referral to EI and estimated the factors associated with referral before and immediately after a positive developmental screen. METHODS: Children seen in a large primary care network that has implemented universal developmental screening were included if they screened positive on the Survey of Well-being of Young Children (SWYC) Milestones during a 16- to 30-month well-child visit (n = 7358). Demographics, screening results, and referrals were extracted from the electronic health record. RESULTS: Among children who screened positive, 17.5% were already in EI, and 39.9% were referred to EI during the visit with positive screen; 42.5% were not referred. In adjusted regression, the following factors were associated with being in EI before the positive screen: lower SWYC score and being male, older, and White. The following factors were associated with new referral to EI during a visit with positive SWYC: having lower SWYC score or lower income and being male, older, and Black race. CONCLUSION: The finding that White children were more likely referred before developmental screening and non-White children more likely referred at the time of positive screen suggests that screening decreases disparities by increasing referral for children with developmental delays from traditionally underserved backgrounds.

Insights from Behavioral Economics: A Case of Delayed Diagnosis of Autism Spectrum Disorder.

ABSTRACT: We present the case of a child of color diagnosed with autism spectrum disorder (ASD) at 67 months of age. Drawing from behavioral economics, we used this case to explore errors in decision-making by clinicians and family members and structural factors that may have delayed ASD diagnosis well beyond the national average.

History and Correlates of Smoking Cessation Behaviors Among Smokers With Serious Mental Illness.

INTRODUCTION: Individuals with serious mental illness (SMI) smoke at rates two to three times greater than the general population but are less likely to receive treatment. Increasing our understanding of correlates of smoking cessation behaviors in this group can guide intervention development. AIMS AND METHODS: Baseline data from an ongoing trial involving smokers with SMI (N = 482) were used to describe smoking cessation behaviors (ie, quit attempts, quit motivation, and smoking cessation treatment) and correlates of these behaviors (ie, demographics, attitudinal and systems-related variables). RESULTS: Forty-three percent of the sample did not report making a quit attempt in the last year, but 44% reported making one to six quit attempts; 43% and 20%, respectively, reported wanting to quit within the next 6 months or the next 30 days. Sixty-one percent used a smoking cessation medication during their quit attempt, while 13% utilized counseling. More quit attempts were associated with lower nicotine dependence and carbon monoxide and greater beliefs about the harms of smoking. Greater quit motivation was associated with lower carbon monoxide, minority race, benefits of cessation counseling, and importance of counseling within the clinic. A greater likelihood of using smoking cessation medications was associated with being female, smoking more cigarettes, and receiving smoking cessation advice. A greater likelihood of using smoking cessation counseling was associated with being male, greater academic achievement, and receiving smoking cessation advice. CONCLUSIONS: Many smokers with SMI are engaged in efforts to quit smoking. Measures of smoking cessation behavior are associated with tobacco use indicators, beliefs about smoking, race and gender, and receiving cessation advice. IMPLICATIONS: Consideration of factors related to cessation behaviors among smokers with SMI continues to be warranted, due to their high smoking rates compared to the general population. Increasing our understanding of these predictive characteristics can help promote higher engagement in evidence-based smoking cessation treatments among this subpopulation.

A Cluster-Randomized Clinical Trial Testing the Effectiveness of the Addressing Tobacco Through Organizational Change Model for Improving the Treatment of Tobacco Use in Community Mental Health Care: Preliminary Study Feasibility and Baseline Findings.

INTRODUCTION: People with mental illness are more likely to smoke and less likely to receive tobacco treatment than the general population. The Addressing Tobacco Through Organizational Change (ATTOC) approach supports organizational change to increase tobacco treatment in this population. We describe preliminary study feasibility and baseline behaviors and attitudes among clients and staff regarding tobacco treatment, and assesse correlates of treatment of smoking. METHODS: Preliminary accrual, engagement, and baseline data are reported from a cluster-randomized trial comparing ATTOC to usual care. Feasibility, thus far, was the rate of site and participant accrual and engagement (eg, participants remaining in the trial). Correlates of assessing smoking, advising cessation, and providing treatment were assessed. RESULTS: Site and participant accrual is 80% (8/10) and 86% (456/533), and engagement is 100% and 82%. "Staff asking about smoking" was reported by 63% of clients and 38% of staff; "staff advising cessation" was reported by 57% of clients and 46% of staff; staff report "assisting clients with any medication" at most 22% of the time, whereas at most 18% of clients report receiving a cessation medication; 59% of clients want tobacco treatment, but 36% of staff think that it is part of their job. "Staff assisting with medications" is related to more training, believing treating smoking is part of their job, and believing patients are concerned about smoking (ps < .05). CONCLUSIONS: This trial of training in tobacco treatment within mental health care is feasible thus far; self-reported rates of tobacco treatment are low and associated with clinician attitudes and barriers. IMPLICATIONS: Evaluation of ways to help address tobacco use treatment in community mental health care is feasible and needed, including the use of technical assistance and training guided by an organizational change approach.

Implementing and evaluating early intervention for children with autism: Where are the gaps and what should we do?

Despite recent advances, the evidence base supporting early intervention for young children with autism spectrum disorder (ASD) remains relatively sparse. The International Society for Autism Research (INSAR) recently sponsored a Special Interest Group (SIG) on Implementing and Evaluating Community-Based Early Intervention. Across three meetings, in 2015, 2016, and 2017, conveners of this SIG engaged >200 members to identify knowledge gaps and research priorities for moving the field forward. Here, we summarize the perspectives that emerged from group discussion at the SIG meetings as represented by scholars working actively in the field. Despite encouraging progress, critical gaps and research priorities were identified across all the stages of intervention development and testing from conceptualization to community implementation. Key issues include the need for (a) formal theories to guide early intervention development, evaluation, and implementation; and alignment of intervention goals with scientific knowledge and societal changes that have occurred in the decades since interventions were originally developed; (b) increased focus on feasibility of treatment procedures and alignment with stakeholder values during pilot evaluations; (c) use of research designs that allow for comparisons of different interventions and formats, analyses of active ingredients of treatment, and identification of moderators and mediators of outcome; (d) use of community-partnered participatory research to guide adaptation of intervention models to community settings; (e) inclusion of constructs related to implementation processes and outcomes in treatment trials and; (f) an iterative approach to the progression of knowledge from intervention development to implementation. Autism Res 2018, 11: 16-23. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: In this article, we summarize the themes discussed at the INSAR Special Interest Group (SIG) on Implementing and Evaluating Community-Based Early Intervention. Priorities for moving the field forward identified in the SIG included the need for (a) formal theories to guide the development and evaluation of interventions, (b) pilot evaluations that investigate feasibility and acceptability of interventions, (c) methodologies that allow us to determine for whom different interventions bring most benefit and why this is so, (d) strategies to include community members and other stakeholders in the process of developing and evaluating interventions, and (e) understanding of factors that make interventions more likely to be adopted and successfully implemented in the real world.

The Effects of Medicaid Home and Community-based Services Waivers on Unmet Needs Among Children With Autism Spectrum Disorder.

BACKGROUND: Several states have passed Medicaid Home and Community-based Services (HCBS) waivers that expand eligibility criteria and available services for children with autism spectrum disorder (ASD). Previous research has shown considerable variation in these waivers, but little is known about the extent to which they address the health care needs of children with ASD. OBJECTIVE: To determine the effects of Medicaid HCBS waivers, and their characteristics, on unmet health care needs among children with ASD. METHODS: We used data from the 2003, 2007, and 2011 waves of the National Survey of Children's Health with detailed information on the Medicaid HCBS waiver programs of 35 states. Quasi-difference-in-difference-in-differences models were used to determine the effects of waivers and their characteristics on parent report of unmet health care needs of children with ASD compared with children without ASD. RESULTS: Greater waiver cost limits per child, estimated costs of services, and enrollment limits were associated with significant decreases in the adjusted rate of unmet health care needs, with considerable variation by household income level. CONCLUSIONS: These findings suggest that Medicaid HCBS waivers significantly decrease the unmet need for health care among children with ASD, most substantially among those who would not otherwise qualify for Medicaid. The findings regarding the effects of specific aspects of these waivers can inform the development of insurance policies in other states to address the needs of children with ASD.

Explaining low rates of autism among Hispanic schoolchildren in Texas.

In data from the Texas Educational Agency and the Health Resources and Services Administration, we found fewer autism diagnoses in school districts with higher percentages of Hispanic children. Our results are consistent with previous reports of autism rates 2 to 3 times as high among non-Hispanic Whites as among Hispanics. Socioeconomic factors failed to explain lower autism prevalence among Hispanic schoolchildren in Texas. These findings raise questions: Is autism underdiagnosed among Hispanics? Are there protective factors associated with Hispanic ethnicity?