Creating a Virtual Meeting Platform Via Online Survey Tool: Leveraging Community Engagement Technology in the Early Days of COVID-19.

At the outset of the COVID-19 pandemic, Alabama's Title V Children and Youth with Special Health Care Needs (CYSHCN) team was forced to innovate in order to gather community input and to prioritize the findings of the 2020 Title V Maternal and Child Health Five-Year Comprehensive Needs Assessment. On a shortened timeline, the team pivoted from a full-day, in-person meeting of professionals and family representatives to an asynchronous, online "meeting" that included all planned and necessary content, allowed for comment by community members, and resulted in a prioritized list of needs. This needs assessment process showed that by using a platform like the online survey tool, Qualtrics, in an innovative way, programs can capture broader, more diverse perspectives without sacrificing quality of communication, content, or feedback. It shows the possibility for strengthening maternal and child health (MCH) systems and other systems of care though rich engagement. This model can be easily replicated in other survey tools, benefiting other states that are faced with difficulties convening geographically dispersed professionals and communities.

Classifying children with ASD by service utilization and treatment type: A cluster analysis of a nationally representative United States survey.

BACKGROUND: If there are patterns of the distribution of services and treatments across the population of people with ASD, these patterns should be based along clinical characteristics or other service needs and not sociodemographic characteristics unrelated to evidence-based care. We examined how individuals in a broad, nationally representative sample "grouped together" based on service utilization and services needed but not covered by insurance. By understanding various treatment patterns, clinicians, researchers, policymakers, and self-advocates and their families can better advocate for high-quality, evidence-based services to be provided equitably. METHODS: Using the 2011 Survey of Pathways to Diagnosis and Services, a cluster analysis was performed to explore patterns in this population based on medication use, private services use, school-based service use, and services not covered by insurance. Differences in clusters were then explored through multinomial logistic regression. RESULTS: Six clusters emerged, showing differences in the level of service/medication usage and insurance coverage. Differences across clusters were associated with the level of functional limitation and age at ASD diagnosis. Disparities by insurance type, functional limitation, and age at diagnosis exist among patterns of ASD service provision. CONCLUSIONS: Our analysis showed that intervention for children with ASD can be across several scales - high and low users of services (both private and school-based), high and low users of medications, and high and low levels of reported non-covered services. The differences were clustered in multiple ways. Further research should incorporate longitudinal and nationally representative data to explore these relationships further.

Addressing Maternal Depression Through Home Visiting: One State's Experience With a Breakthrough Series Collaborative.

BACKGROUND AND OBJECTIVES: From 2013 to 2017, a national Breakthrough Series (BTS) collaborative in Maternal, Infant, and Early Childhood Home Visiting programs developed a toolkit that led to improvements in maternal depression outcomes. In 2018, Alabama's home visiting program (First Teacher) aimed to reproduce these impacts with a state-led BTS that enrolled 8 local implementing agencies (LIAs) serving more than 500 families. METHODS: LIAs tested changes in practices using Plan-Do-Study-Act cycles and tracked data regarding depression screening, referrals, service access, and symptom improvement via run charts. First Teacher administered a post-collaborative survey to assess LIA team members' satisfaction with their BTS experience. RESULTS: Alabama's BTS resulted in positive shifts in maternal depression referrals, service access, and symptom improvement. Change ideas that supported these shifts included the use of a screening script, motivational interviewing, "Mothers and Babies," and a registry. LIAs noted that BTS tools and resources helped build capacity to address the difficult and frequently stigmatized topic of maternal depression. CONCLUSION: Findings from this study indicate that evidence- and experience-based practices regarding maternal depression screening, referrals, and service access can lead to symptom improvement among mothers enrolled in a state-based home visiting program. Results of this investigation corroborate findings from previous studies while also incorporating feedback from LIAs about the BTS experience.

Advancing Quality Improvement in Public Health by Exploring CQI in Alabama's Home Visiting Program.

Continuous Quality Improvement (CQI) is the use of a deliberate and defined improvement process to advance organizational systems. Quality improvement in public health is increasingly widespread, but there are still limited examples of success or descriptions of developmental trajectories for building CQI capacity. The goal of this article is to add to the extant knowledge on the topic by describing one state's implementation of evidence-based CQI in the Maternal, Infant, and Early Childhood Home Visiting program between 2014 and 2019. On the basis of a systematic review of Annual Yearly Progress reports and semistructured key informant interviews, analysis yielded 3 themes that facilitated successful implementation of CQI in Alabama: starting small and building capacity; engaging in continuous and supported learning; and establishing and maintaining a culture of quality. This project demonstrates that CQI can help public health practitioners refine processes and grow capacity to best serve clients' diverse 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.

Using Continuous Quality Improvement Tools to Promote Tobacco Cessation Among Primary Caregivers in a Home Visiting Program in Alabama.

Alabama's Maternal, Infant, and Early Childhood Home Visiting-funded program was one of 10 state teams accepted to participate in the first wave of the Federal Home Visiting Program State and Territory Continuous Quality Improvement Practicum. This article reports methods and results of Alabama's continuous quality improvement (CQI) project and lessons learned in developing CQI capabilities among state and local public health practitioners. The Alabama team tracked CQI data weekly for the duration of the practicum using an annotated run chart. Participants included 20 identified tobacco users in 2 participating LIAs. This article highlights specific CQI tools to achieve the project aim. On the basis of CQI interventions, Alabama reached its goal; 12 of 20 primary caregivers in 2 home visiting programs made quit attempts. Alabama utilized multiple CQI tools to reach an ambitious, behavior-based aim; these same concepts could be broadly applied to quality improvement initiatives in any federal or state public health program to guide process- and outcomes-based improvement efforts.

Promoting Continuous Quality Improvement in the Alabama Child Health Improvement Alliance Through Q-Sort Methodology and Learning Collaboratives.

OBJECTIVE: Q-sort methodology is an underutilized tool for differentiating among multiple priority measures. The authors describe steps to identify, delimit, and sort potential health measures and use selected priority measures to establish an overall agenda for continuous quality improvement (CQI) activities within learning collaboratives. METHODS: Through an iterative process, the authors vetted a list of potential child and adolescent health measures. Multiple stakeholders, including payers, direct care providers, and organizational representatives sorted and prioritized measures, using Q-methodology. RESULTS: Q-methodology provided the Alabama Child Health Improvement Alliance (ACHIA) an objective and rigorous approach to system improvement. Selected priority measures were used to design learning collaboratives. An open dialogue among stakeholders about state health priorities spurred greater organizational buy-in for ACHIA and increased its credibility as a statewide provider of learning collaboratives. CONCLUSIONS: The integrated processes of Q-sort methodology, learning collaboratives, and CQI offer a practical yet innovative way to identify and prioritize state measures for child and adolescent health and establish a learning agenda for targeted quality improvement activities.

Obesity, Physical Activity and Sedentary Behaviors in Children with an Autism Spectrum Disorder.

BACKGROUND AND OBJECTIVES: Previous literature using small sample sizes and limited geographic areas report that overweight/obesity and physical inactivity occur at higher rates among children with autism spectrum disorder (ASD) compared to typically developing peers. The purpose of this study was to examine obesity, overweight, physical activity, and sedentary behavior among children and youth with and without ASD using nationally representative data and controlling for secondary conditions, including intellectual and learning disabilities, ADHD, developmental delay, and other mental, physical, and medical conditions, as well as medication use. METHODS: Data were collected from the 2011-2012 National Survey of Children's Health, a cross-sectional survey of 65,680 (weighted N = 49,586,134) children aged 6-17 (1385 with ASD, weighted N = 986,352). Logistic regression was used to estimate odds ratios, adjusting for demographics and possible secondary conditions. RESULTS: Having a diagnosis of ASD was associated with higher odds of obesity (OR 1.76, CI 1.27-2.43; p = <0.001). However, after additional adjustment for possible secondary conditions, ASD diagnosis was no longer associated with obesity. Those with moderate ASD (OR 0.58, CI 0.36-0.93; p = <0.05) reported lower odds of sedentary behavior, but this association failed to achieve significance after adjustment for secondary conditions and medication use. No significant associations between ASD and overweight or physical activity were found. CONCLUSIONS: These findings suggest that ASD diagnosis is not significantly associated with obesity status after adjustment for possible secondary conditions and medication use. Decision makers, clinicians, and researchers developing interventions for children with ASDs should consider how secondary conditions may impact obesity and related activities.

Identifying Continuous Quality Improvement Priorities in Maternal, Infant, and Early Childhood Home Visiting.

OBJECTIVE: The purpose of this article was to describe a methodology to identify continuous quality improvement (CQI) priorities for one state's Maternal, Infant, and Early Childhood Home Visiting program from among the 40 required constructs associated with 6 program benchmarks. The authors discuss how the methodology provided consensus on system CQI quality measure priorities and describe variation among the 3 service delivery models used within the state. DESIGN: Q-sort methodology was used by home visiting (HV) service delivery providers (home visitors) to prioritize HV quality measures for the overall state HV system as well as their service delivery model. RESULTS: There was general consensus overall and among the service delivery models on CQI quality measure priorities, although some variation was observed. Measures associated with Maternal, Infant, and Early Childhood Home Visiting benchmark 1, Improved Maternal and Newborn Health, and benchmark 3, Improvement in School Readiness and Achievement, were the highest ranked. CONCLUSIONS: The Q-sort exercise allowed home visitors an opportunity to examine priorities within their service delivery model as well as for the overall First Teacher HV system. Participants engaged in meaningful discussions regarding how and why they selected specific quality measures and developed a greater awareness and understanding of a systems approach to HV within the state. The Q-sort methodology presented in this article can easily be replicated by other states to identify CQI priorities at the local and state levels and can be used effectively in states that use a single HV service delivery model or those that implement multiple evidence-based models for HV service delivery.

A systematic review of the association between family meals and adolescent risk outcomes.

OBJECTIVE: To conduct a systematic review of the literature examining the relationship between family meals and adolescent health risk outcomes. METHODS: We performed a systematic search of original empirical studies published between January 1990 and September 2013. Based on data from selected studies, we conducted logistic regression models to examine the correlates of reporting a protective association between frequent family meals and adolescent outcomes. RESULTS: Of the 254 analyses from 26 selected studies, most reported a significant association between family meals and the adolescent risk outcome-of-interest. However, model analyses which controlled for family connectedness variables, or used advanced empirical methods to account for family-level confounders, were less likely than unadjusted models to report significant relationships. CONCLUSIONS: The type of analysis conducted was significantly associated with the likelihood of finding a protective relationship between family meals and the adolescent outcome-of-interest, yet very few studies are using such methods in the literature.

The MCH navigator: tools for MCH workforce development and lifelong learning.

Maternal and child health (MCH) leadership requires an understanding of MCH populations and systems as well as continuous pursuit of new knowledge and skills. This paper describes the development, structure, and implementation of the MCH Navigator, a web-based portal for ongoing education and training for a diverse MCH workforce. Early development of the portal focused on organizing high quality, free, web-based learning opportunities that support established learning competencies without duplicating existing resources. An academic-practice workgroup developed a conceptual model based on the MCH Leadership Competencies, the Core Competencies for Public Health Professionals, and a structured review of MCH job responsibilities. The workgroup used a multi-step process to cull the hundreds of relevant, but widely scattered, trainings and select those most valuable for the primary target audiences of state and local MCH professionals and programs. The MCH Navigator now features 248 learning opportunities, with additional tools to support their use. Formative assessment findings indicate that the portal is widely used and valued by its primary audiences, and promotes both an individual's professional development and an organizational culture of continuous learning. Professionals in practice and academic settings are using the MCH Navigator for orientation of new staff and advisors, "just in time" training for specific job functions, creating individualized professional development plans, and supplementing course content. To achieve its intended impact and ensure the timeliness and quality of the Navigator's content and functions, the MCH Navigator will need to be sustained through ongoing partnership with state and local MCH professionals and the MCH academic community.

Assessing needs and resources for the home visiting system in Alabama: a mixed methods approach.

The purpose of this article is to describe the initial assessment for the development of a home visiting (HV) system in a state with no existing system. We outline a mixed methods process where the quantitative component was used to identify the communities that possess "at-risk" profiles, and the qualitative component explored the resources and gaps in existing HV services. We employed a mixed methods approach, using six categories of indicators from quantitative secondary data sources to identify "at-risk" profiles for Alabama's 67 counties. A weighted score for each indicator was calculated and counties were ranked. Surveys and focus groups were conducted to further define resources and gaps of existing HV programs. The composite indicator scores identified 13 counties as having the highest level of risk. Five of these 13 communities had no HV home visitation services. Areas of focus for future HV system development include trust, communication, availability, cost, and timeliness. In this assessment related to the Alabama HV system, we used quantitative data to apply criteria to the indicators being measured and qualitative data to supplement the quantitative findings. We examined resources, gaps, program quality, and capacity of the existing HV programs in order to assist in the future development of the HV system and early childhood system. The methods presented in this paper have potential applications beyond HV programs and systems, including broader examinations of complex systems for service provision to the maternal and child health populations.

Future plans and social/recreational activities of youth with special health care needs: the implications of parental help in completing surveys.

BACKGROUND: A major focus of the literature on youth with special health care needs (YSHCN) is the transition to adult health care. As perceptions of disability are a product of interactions between youth and their environment, it is important to understand youth's needs and experiences beyond health care. Few studies have addressed social/recreational activity participation and future plans and none have included parent/caregiver help in survey completion as a potential factor impacting responses. OBJECTIVES: We describe activity participation and identification of future plans among YSHCN and examine the impact of receiving parent/caregiver assistance to complete a survey on these responses. Implications for research, policy, and practice affecting programs serving and providing transition assistance for YSHCN are discussed. METHODS: Data are from a survey of YSHCN conducted during Alabama's 2010 Title V Maternal and Child Health Needs Assessment. Analyses included descriptive statistics, bivariate analysis, and multivariable logistic regression. RESULTS: Youth who received help completing the survey were less likely to report participating in certain social/recreational activities and key future plans, including hobbies, getting married, having children, and working for pay. CONCLUSIONS: For YSHCN, parent/caregiver assistance to complete a survey is a critical consideration in analyses and interpretation of results. Whether, how much, and what type of help received may represent a more objective proxy measure of perceptions of condition severity or impact on abilities than do self-reported ratings of these factors. Our results also raise questions about the distinctions between youth and parent/caregiver perceptions of independence, participation, and potential.

Underinsurance in children with special health care needs: the impact of definition on findings.

To identify differences in groups of children with special healthcare needs (CSHCN) identified as underinsured by two alternate definitions and discuss implications for policy decisions based on using one definition over another. Secondary data from the National Survey of CSHCN 2005/2006 were analyzed. Only CSHCN who were continuously-insured for 12 months were included in analyses. We identified groups of underinsured CSHCN using two general definitions ("economic" and "attitudinal") and three mutually-exclusive groups (identified by both definitions, identified by attitudinal but not economic, and identified by economic but not attitudinal). Key variables included demographics and condition characteristics. Different underinsurance rates were identified [attitudinal = 30.9 % (n = 11,470); economic = 22.7 % (n = 8,447)] with fair agreement by kappa score (κ = 0.3194; Z = 65.91; p > 0.0001). Differences across mutually-exclusive groups included family income ≥400 % FPL (attitudinal only = 34.2 %, economic only = 16.3 %, both = 18.4 %; p < 0.001) and high severity (attitudinal only = 42.5 %, economic only = 68.5 %, both = 69.9 %; p < 0.001). CSHCN who needed equipment/supplies/home health (OR = 1.31, p < 0.001) had increased odds of being identified as underinsured by the economic, but not attitudinal definition. CSHCN with private insurance had increased odds of being identified by attitudinal only or both definitions, but not by economic only (AO: OR = 1.41, p < 0.001; BOTH: OR = 2.36, p < 0.001). Despite overlap between the two definitions, choosing either one excludes some CSHCN, potentially underestimating the extent of underinsurance and masking important findings related to specific conditions characteristics. A definition that comprehensively identifies and describes underinsurance is vital to translating health insurance coverage expansion into benefit packages that meet complex health and service needs.