Community-Based Organizations Leading Research Efforts: Preliminary Findings from the Chicagoland CEAL Program's COVID-19 Vaccine Uptake and Intention Survey.

BACKGROUND: To foster community engaged research in the communities most impacted by COVID-19, the National Institutes of Health (NIH) formed 21 teams of Community Engagement Alliance Against COVID-19 Disparities (CEAL). The national CEAL initiative developed a Common Survey to investigate attitudes and behaviors to the COVID-19 vaccine and clinical trials. This article describes survey implementation at the Chicagoland CEAL Program (CCP). METHODS: This community-based participatory research project was the result of a strong collaboration between academic institutions, and a community-based non-profit health equity-focused partner organization. The survey implementation was developed and refined with strong input from CHWs, participants, and staff in the partner organizations and institutions. Survey data were collected with Qualtrics, a web-based survey tool. RESULTS: Survey implementation resulted in data collection for 852 participants during the period 12/18/2021-02/18/2023. Excluding participants on the basis of missing data resulted in a sample of 690, 601 of which (87.10%) indicated that they had received at least one dose or intended to get vaccinated. Overall, 54 (7.83%) respondents reported that they had not received the vaccine and were not planning to. CONCLUSION: Hard to reach populations present two unique challenges in emerging infectious disease events. Reaching populations vulnerable to poor outcomes with vaccines was essential to addressing the COVID-19 pandemic. Additionally, learning about barriers and hesitancy toward vaccine uptake is difficult in these communities. CCP's partnership of five academic institutions, a community research center, and a community-based non-profit health equity-focused organization shows what is possible when traditional models of research and inquiry are reconsidered for community-based participatory research. Results shown here are drawn from a collaboratively designed and implemented survey, collected in person, with over 90% completion.

Association between sleep disorders and health care utilization in children with chronic medical conditions: a Medicaid claims data analysis.

STUDY OBJECTIVES: To examine the risk of increased health care utilization (HU) linked to individual sleep disorders in children with chronic medical conditions. METHODS: Medicaid claims data from a cohort of 16,325 children enrolled in the Coordinated Healthcare for Complex Kids (CHECK) project were used. Sleep disorders and chronic medical conditions were identified using International Classification of Diseases, Ninth, and 10th Revision, codes. Three HU groups were identified based on participants' prior hospitalizations and emergency department (ED) visits in the 12 months prior to enrollment: low (no hospitalization or ED visit), medium (1-2 hospitalizations or 1-3 ED visits), and high (≥ 3 hospitalizations or ≥ 4 ED visits). The odds of being in an increased HU group associated with specific sleep disorders after controlling for confounding factors were examined. RESULTS: Children with chronic medical conditions and any sleep disorder had nearly twice the odds (odds ratio = 1.83; 95% confidence interval: 1.67-2.01) of being in an increased HU group compared with those without a sleep disorder. The odds of being in the increased HU group varied among sleep disorders. Only sleep-disordered breathing (odds ratio = 1.51; 95% confidence interval : 1.17-1.95), insomnia (odds ratio = 1.46; 95% confidence interval : 1.06-2.02), and circadian rhythm sleep disorder (odds ratio = 2.45; 95% confidence interval : 1.07-5.64) increased those odds. Younger age and being White were also linked to increased HU. CONCLUSIONS: Sleep disorders are associated with increased risk of heightened HU (ED visits and/or hospitalizations) in children with chronic medical conditions. This risk varies by specific sleep disorders. These findings indicate the need for careful evaluation and management of sleep disorders in this high-risk cohort. CITATION: Adavadkar PA, Brooks L, Pappalardo AA, Schwartz A, Rasinski K, Martin MA. Association between sleep disorders and health care utilization in children with chronic medical conditions: a Medicaid claims data analysis. J Clin Sleep Med. 2024;20(4):595-601.

Delivering COVID-19 Vaccine via Trusted Social Services: Program Evaluation Results from the Chicagoland CEAL Program.

To describe the reach, implementation, and sustainability of COVID-19 vaccination programs delivered by social service community organizations. Five academic institutions in the Chicagoland CEAL (Community Engagement Alliance) program partnered with 17 community organizations from September 2021-April 2022. Interviews, community organizations program implementation tracking documents, and health department vaccination data were used to conduct the evaluation. A total of 269 events were held and 5,432 COVID-19 vaccines delivered from May 2021-April 2022. Strategies that worked best included offering vaccinations in community settings with flexible and reliable hours; pairing vaccinations with ongoing social services; giving community organizations flexibility to adjust programs; offering incentives; and vaccinating staff first. These strategies and partnership structures supported vaccine uptake, community organization alignment with their missions and communities' needs, and trust. Community organizations delivering social services are local community experts and trusted messengers. Pairing social service delivery with COVID-19 vaccination built individual and community agency. Giving COs creative control over program implementation enhanced trust and vaccine delivery. When given appropriate resources and control, community organizations can quickly deliver urgently needed health services in a public health crisis.

Association between neighborhood disadvantage and children's oral health outcomes in urban families in the Chicago area.

Purpose: The prevalence of childhood caries in urban Chicago, compared with national and state data, indicates that neighborhood context influences oral health. Our objective was to delineate the influence of a child's neighborhood on oral health outcomes that are predictive of caries (toothbrushing frequency and plaque levels). Methods: Our study population represents urban, Medicaid-enrolled families in the metropolitan Chicago area. Data were obtained from a cohort of participants (child-parent dyads) who participated in the Coordinated Oral Health Promotion (CO-OP) trial at 12 months of study participation (N = 362). Oral health outcomes included toothbrushing frequency and plaque levels. Participants' neighborhood resource levels were measured by the Area Deprivation Index (ADI). Linear and logistic regression models were used to measure the influence of ADI on plaque scores and toothbrushing frequency, respectively. Results: Data from 362 child-parent dyads were analyzed. The mean child age was 33.6 months (SD 6.8). The majority of children were reported to brush at least twice daily (n = 228, 63%), but the mean plaque score was 1.9 (SD 0.7), classified as "poor." In covariate-adjusted analyses, ADI was not associated with brushing frequency (0.94, 95% CI 0.84-1.06). ADI was associated with plaque scores (0.05, 95% CI 0.01-0.09, p value = 0.007). Conclusions: Findings support the hypothesis that neighborhood-level factors influence children's plaque levels. Because excessive plaque places a child at high risk for cavities, we recommend the inclusion of neighborhood context in interventions and policies to reduce children's oral health disparities. Existing programs and clinics that serve disadvantaged communities are well-positioned to support caregivers of young children in maintaining recommended oral health behaviors.

The Effect of Neighborhood Disorganization on Care Engagement Among Children With Chronic Conditions Living in a Large Urban City.

Neighborhood context plays an important role in producing and reproducing current patterns of health disparity. In particular, neighborhood disorganization affects how people engage in health care. We examined the effect of living in highly disorganized neighborhoods on care engagement, using data from the Coordinated Healthcare for Complex Kids (CHECK) program, which is a care delivery model for children with chronic conditions on Medicaid in Chicago. We retrieved demographic data from the US Census Bureau and crime data from the Chicago Police Department to estimate neighborhood-level social disorganization for the CHECK enrollees. A total of 6458 children enrolled in the CHECK between 2014 and 2017 were included in the analysis. Families living in the most disorganized neighborhoods, compared with areas with lower levels of disorganization, were less likely to engage in CHECK. Black families were less likely than Hispanic families to be engaged in the CHECK program. We discuss potential mechanisms through which disorganization affects care engagement. Understanding neighborhood context, including social disorganization, is key to developing more effective comprehensive care models.

Oral community health worker-led interventions in households with average levels of psychosocial factors.

Introduction: Household-level psychosocial stress levels have been linked to child tooth brushing behaviors. Community health worker (CHW) interventions that target psychosocial factors in high-risk communities have been associated with changes in health behaviors. Aim: Observe changes in psychosocial factors over time and an association between psychosocial factors and CHW intervention dose amongst urban Chicago families. Patients and methods: Participants (N = 420 families) were recruited from 10 community clinics and 10 Women, Infants, or Children (WIC) centers in Cook County, Illinois to participate in a clinical trial. Research staff collected participant-reported psychosocial factors (family functioning and caregiver reports of depression, anxiety, support, and social functioning) and characteristics of CHW-led oral health intervention visits (number, content, child engagement) at 0, 6, and 12 months. CHWs recorded field observations after home visits on household environment, social circumstances, stressors, and supports. Results: Participants across the cohort reported levels of psychosocial factors consistent with average levels for the general population for nearly all measures. Psychosocial factors did not vary over time. Social functioning was the only measure reported at low levels [32.0 (6.9); 32.1 (6.7); 32.7 (6.9); mean = 50 (standard deviation)] at 0, 6, and 12 months. We did not observe a meaningful difference in social functioning scores over time by exposure to CHW-led intervention visits (control arm, 0, 1, 2, 3, and 4 visits). Field observations made by CHWs described a range of psychosocial stress related to poverty, language barriers, and immigration status. Conclusion: The unexpectedly average and unchanging psychosocial factors over time, in the context of field observations of stress related to poverty, lack of support, immigration status, and language barriers, suggests that our study did not adequately capture the social determinants of health related to oral health behaviors or that measurement biases precluded accurate assessment. Future studies will assess psychosocial factors using a variety of instruments in an attempt to better measure psychosocial factors including social support, depression, anxiety, functioning, trauma and resilience within our urban population. We will also look at neighborhood-level factors of community distress and resilience to better apply the social ecologic model to child oral health behaviors.

Exploring Behavioral Typologies to Inform COVID-19 Health Campaigns: A Person-Centered Approach.

As the United States continues to be ravaged by COVID-19, it becomes increasingly important to implement effective public health campaigns to improve personal behaviors that help control the spread of the virus. To design effective campaigns, research is needed to understand the current mitigation intentions of the general public, diversity in those intentions, and theoretical predictors of them. COVID-19 campaigns will be particularly challenging because mitigation involves myriad, diverse behaviors. This study takes a person-centered approach to investigate data from a survey (N = 976) of Pennsylvania adults. Latent class analysis revealed five classes of mitigation: one marked by complete adherence with health recommendations (34% of the sample), one by complete refusal (9% of the sample), and three by a mixture of adherence and refusal. Statistically significant covariates of class membership included relatively positive injunctive norms, risk due to essential workers in the household, personal knowledge of someone who became infected with COVID-19, and belief that COVID-19 was a leaked biological weapon. Additionally, trait reactance was associated with non-adherence while health mavenism was associated with adherence. These findings may be used to good effect by local healthcare providers and institutions, and also inform broader policy-making decisions regarding public health campaigns to mitigate COVID-19.

What is the causal effect of income gains on youth obesity? Leveraging the economic boom created by the Marcellus Shale development.

Low family income is frequently assumed to be a primary social determinant of youth obesity in the U.S. But while the observed correlation between family income and youth obesity is consistently negative, the true causal relationship is unclear. I take advantage of a natural experiment - the boom economy created by development of the Marcellus Shale geological formation for natural gas extraction - to study whether income gains affect youth obesity rates among Pennsylvania students. To test this relationship, I compile data from geological, administrative, Census and other governmental sources and estimate cross-sectional OLS regression models, longitudinal fixed effects models, and two-stage instrumental variable models within a difference-in-differences framework. Falsification tests indicate that children's location relative to the Marcellus Shale's geological boundaries is a valid instrument for income gains. Yet plausibly exogenous income gains do not alter youth obesity rates, regardless of the community's initial level of poverty or affluence and regardless of the child's grade level. Thus, the observed disparities in youth obesity by area income in Pennsylvania do not result from simple differences in disposable income and the relative cost of "healthy" versus "unhealthy" goods and services.

Trends in School Attendance for Low-Income Children with Chronic Health Conditions: Results from a Randomized Controlled Trial.

BACKGROUND: In this study, we aimed to determine how school attendance changed over time for children on Medicaid with chronic health conditions enrolled in a comprehensive care coordination program called Coordinated HEalthcare for Complex Kids (CHECK). METHODS: Medicaid beneficiaries from one managed care organization were randomized into 2 arms: CHECK program services or usual care. The final sample was 1322. RESULTS: The mean age was 10.9 (SD = 3.7) years old and children were mostly non-Hispanic Black (62.6%) or Hispanic (34.9%). The median school attendance at baseline was 94.9% (IQR 88.9, 97.9); over one-fourth of children (28.4%) were chronically absent. School attendance was not associated with race/ethnicity, risk level, and health condition. In a model including a significant time/grade interaction, school attendance increased over time for children in pre-kindergarten (OR = 1.52, 95% CI: 1.38, 1.68; p < .001) and kindergarten to 5th grade (OR = 1.21, 95% CI: 1.17, 1.26; p < .001), and decreased for children in 6th to 8th grade (OR = 0.80, 95% CI: 0.77, 0.83; p < .001). No differences were seen in school attendance or chronic absenteeism associated with enrollment in the CHECK program. CONCLUSIONS: School attendance improved for most of the low-income children with chronic health conditions in our cohort, except for children in middle school.

COVID-19 Impact on Community-Based Participatory Randomized Controlled Trials-Lessons From the Oral Health Disparities in Children Consortium.

The COVID-19 pandemic has had a major impact on nearly every sector of science and industry worldwide, including a significant disruption to clinical trials and dentistry. From the beginning of the pandemic, dental care was considered high risk for viral transmission due to frequent aerosol-generating procedures. This resulted in special challenges for dental providers, oral health care workers, patients, and oral health researchers. By describing the effect that the COVID-19 pandemic had on four community-based randomized clinical trials in the Oral Health Disparities in Children (OHDC) Consortium, we highlight major challenges so researchers can anticipate impacts from any future disruptions.

Work-Sampling Study of an Innovative Care Coordination Program Aimed at Children With Chronic Health Conditions.

PURPOSE OF STUDY: To estimate time allocation and labor cost for care coordinators (CCs), community health workers (CHWs), and mental health workers (MHWs) to conduct care coordination tasks in a pediatric care coordination program. PRIMARY PRACTICE SETTING: A public tertiary academic medical center in Chicago, IL. METHODOLOGY AND SAMPLE: A work-sampling study was conducted using a text message-based survey on 5 CCs, 20 CHWs, and 4 MHWs who volunteered to participate. Workers were randomly sampled within working hours to collect information on who was the subject of interaction and what service was being delivered over a 6-month period. Time allocation of workers to different subjects and services was summarized using descriptive statistics. RESULTS: Care coordinators allocated 41% of their time to managing CHW teams. Community health workers allocated 37% of time providing services directly to children and 26% to the parent/caregiver. Mental health workers allocated 16% of time providing services to children and 29% to the parent/caregiver. The care coordination program serviced 5,965 patients, with a total annual labor cost of $1,455,353. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Community health workers spent the majority of time working with patients and their families to conduct assessments. Mental health workers primarily addressed children's needs through their caregivers. Care coordinators primarily supported CHWs in coordinating care. Results may be used to inform development of such programs by determining services most often utilized, and labor cost may be used to inform program implementation and reimbursement.

Design and sample characteristics of COordinated Oral health Promotion (CO-OP) Chicago: A cluster-randomized controlled trial.

COordinated Oral health Promotion (CO-OP) Chicago is a two-arm cluster-randomized trial with a wait-list control. The primary aim is to evaluate the efficacy of an oral health community health worker (CHW) intervention to improve oral health behaviors in low-income, urban children under the age of three years. Exploratory aims will determine cost-effectiveness, and if any CHW intervention impact on child tooth brushing behaviors varies when CHWs are based out of a medical clinic compared to a community setting. This paper describes progress toward achieving these aims. Participating families were recruited from community social service centers and pediatric primary care medical clinics in Cook County, Illinois. Sites were cluster-randomized to CHW intervention or usual services (a wait-list control). The intervention is oral health support from CHWs delivered in four visits to individual families over one year. The trial sample consists of 420 child/caregiver dyads enrolled at the 20 participating sites over 11 months. Participant demographics varied across the sites, but primary outcomes values at baseline did not. Data on brushing frequency, plaque, and other oral health behaviors are collected at three timepoints: baseline, 6-, and 12-months. The primary analysis will assess differences in caregiver-reported child brushing frequency and observed plaque score between the two arms at 12-months. The trial is currently in the active intervention phase. The trial's cluster-randomized controlled design takes a real-world approach by integrating into existing health and social service agencies and collecting data in participant homes. Results will address an important child health disparity. ClinicalTrials.gov identifier: NCT03397589. CLINICAL TRIAL REGISTRATION: University of Illinois at Chicago Protocol Record 2017-1090. National Institutes of Dental & Craniofacial Research of the National Institutes of Health (NIDCR) Protocol Number: 17-074-E. NCT03397589.

Exploring Racial Disparities in Mental Health Diagnoses and Neighborhood Disorganization Among an Urban Cohort of Children and Adolescents with Chronic Medical Conditions.

Objective: This article describes the demographic distribution of, and association between, neighborhood disorganization and mental health diagnosis by race in a large cohort of urban children with chronic medical conditions. Methods: Data for this study were from Coordinated Healthcare for Complex Kids (CHECK), a health care demonstration project funded by the Center for Medicare and Medicaid Innovation. We conducted regression analyses to examine the relationship between neighborhood disorganization and mental health diagnosis among 6,458 children enrolled in CHECK. Results: The most common mental health diagnoses were mood disorders (8.6%), Attention-Deficit/Hyperactivity Disorder (7.4%), conduct disorders (6.1%), and anxiety disorders (4.8%). Black children had the highest neighborhood disorganization scores compared with other racial/ethnic categories. However, Black children had the lowest proportion of mental health diagnoses. Lower neighborhood disorganization was associated with having a mental health diagnosis; however, when adding race/ethnicity to the model, neighborhood disorganization no longer was significant. Conclusions: Level of neighborhood disorganization was highly correlated with racial/ethnic composition of the neighborhoods, and Black children disproportionately resided in highly disorganized neighborhoods compared with other groups. Neighborhood disorganization may not have sufficient variability within the racial/ethnic categories, which may explain the absence of an interaction between race/ethnicity and mental health diagnosis.

Effect of Comprehensive Care Coordination on Medicaid Expenditures Compared With Usual Care Among Children and Youth With Chronic Disease: A Randomized Clinical Trial.

Importance: Medicaid spending on children and young adults with chronic disease could be decreased through care coordination programs by reducing unnecessary hospital and emergency care. Objective: To assess whether a comprehensive care coordination program reduces Medicaid expenditures by decreasing hospital and emergency department (ED) utilization. Design, Setting, and Participants: This randomized clinical trial included 6259 children and young adults with chronic disease who received public insurance through Illinois Medicaid. In April 2016, eligible youth were randomized to receive comprehensive care coordination through the Coordinated Healthcare for Complex Kids (CHECK) program (n = 3126) or usual care (n = 3119) to measure the effect of the CHECK program on Medicaid expenditures and health care utilization using a difference-in-differences (DID) approach. Data were collected from May 1, 2014, to April 30, 2017, and analyzed in May 2018. Interventions: Care coordination, mental health care, education, and social support were provided to CHECK participants and their family members. Services were tailored based on family and participant need. Main Outcomes and Measures: Mean annual Medicaid expenditures, mean annual health care utilization by category (ED and inpatient), and chronic disease type and risk level. Results: A total of 6259 participants (mean [SD] age, 11.3 [6.4] years; 2918 [46.6%] female; 2594 [41.4%] with medium and high risk) were randomized. Following the exclusion of 14 outliers, 6245 participants were analyzed. The mean (SD) annual Medicaid expenditure before the intervention was $1633 ($4006) for the intervention group and $1703 ($4466) for the usual care group, which decreased to a mean (SD) of $1341 ($3004) and $1413 ($3785), respectively, after the intervention (DID, -$1; 95% CI, -$199 to $196; P = .99). The mean (SD) inpatient utilization before the intervention was 63.0 (344.4) per 1000 person-years (PYs) for the intervention group and 69.3 (370.9) per 1000 PYs for the usual care group, which decreased to 43.5 (297.2) per 1000 PYs and 47.8 (304.9) per 1000 PYs, respectively, after the intervention (DID, 2.0; 95% CI, -17.9 to 21.8; P = .85). Among participants with asthma, those in the intervention group had a greater mean (SD) decrease in ED utilization compared with usual care, but the difference was not significant (-225.9 [65.3] vs -104.5 [80.0] visits per 1000 PY; DID, -121.5; 95% CI, -268.9 to 26.0; P = .11). Similarly, enrolled participants with sickle cell disease had a smaller but not significant mean (SD) increase in ED utilization compared with usual care (583.3 [839.0] vs 3761.9 [4611.2] visits per 1000 PYs; DID, -3178.6; 95% CI, -10 724.3 to 4367.2; P = .41). Conclusions and Relevance: Overall Medicaid expenditures and health care utilization (hospital and ED) decreased similarly for both CHECK participants and the usual care group. Trial Registration: ClinicalTrials.gov identifier: NCT04057521.

A multivariable analysis of childhood psychosocial behaviour and household functionality.

BACKGROUND: Social determinants of health play a vital role in population health. Awareness of household social factors and their impact on health can help health professionals to provide effective strategies in health promotion, especially for children and adolescents showing signs of psychosocial dysfunction. The objective of this study was to explore the association between parents' perceptions of the psychosocial behaviour of their children and the functionality of their household. METHODS: This cohort study analysed data from the Coordinated Health Care for Complex Kids programme. The sample included 293 parents of children aged 4-17 years with chronic conditions, and from urban, low-income families. Psychosocial behaviour of the child was measured using the Pediatric Symptom Checklist (PSC-17), which included subscales for internal, external, and attention symptoms. Household functionality was measured using the Confusion, Hubbub, and Order Scale. Responses to both assessments were scored in a standard manner. RESULTS: There was a significant association between parents' perceptions of the psychosocial behaviour of their children and the functionality of the home environment. The mean Confusion, Hubbub, and Order Scale scores in the home environment improved from baseline to the first reassessment (the period between the two assessments ranged from 4 to 8 months). Additionally, positive PSC-17 screening results of the children decreased by 11% in the first reassessment. The odds of having a positive PSC-17 screening result also decreased in the first reassessment after receiving interventions. CONCLUSION: The association between psychosocial dysfunction and household functionality indicates the importance of family-centred care and taking the home environment into consideration when administering health services to low-income children with chronic conditions. This study brings attention to the more hidden factors that influence child mental health, which must be addressed to improve care delivery and child health outcomes.

What really happens in the home: a comparison of parent-reported and observed tooth brushing behaviors for young children.

BACKGROUND: Most studies of tooth brushing behaviors rely on self-report or demonstrations of behaviors conducted in clinical settings. This study aimed to determine the feasibility of objective assessment of tooth brushing behaviors in the homes of high-risk children under three years old. We compared parent self-report to observations to determine the accuracy of self-report in this population. METHODS: Forty-five families were recruited from dental and medical clinics and a community social service agency. Research staff asked questions about oral health behaviors and observed tooth brushing in the homes. Brushing was also video-recorded. Video-recordings were coded for brushing behaviors by staff that did not collect the primary data; these abstracted data were compared to those directly observed in homes. RESULTS: Most families were Hispanic (76%) or Black (16%) race/ethnicity. The majority of parents had a high school education (42%) or less (24%). The mean age of children was 21 months. About half of parents reported brushing their child's teeth twice a day (58%). All parents tried to have their children brush, but three children refused. For brushing duration, 70% of parents reported differently than was observed. The average duration of brushing was 62.4 s. Parent report of fluoride in toothpaste frequently did not match observations; 39% said they used toothpaste with fluoride while 71% actually did. Sixty-eight percent of parents reported using a smear of toothpaste, while 61% actually did. Brushing occurred in a variety of locations and routines varied. Abstracted data from videos were high in agreement for some behaviors (rinse with water, floss used, brushing location, and parent involvement: Kappa 0.74-1.0). Behaviors related to type of brushing equipment (brushes and toothpaste), equipment storage, and bathroom organization and clutter had poor to no agreement. CONCLUSIONS: Observation and video-recording of brushing routines and equipment are feasible and acceptable to families. Observed behaviors are more accurate than self-report for most components of brushing and serve to highlight some of the knowledge issues facing parents, such as the role of fluoride.

A Real-World Community Health Worker Care Coordination Model for High-Risk Children.

Health care systems across the United States are considering community health worker (CHW) services for high-risk patients, despite limited data on how to build and sustain effective CHW programs. We describe the process of providing CHW services to 5,289 at-risk patients within a state-run health system. The program includes 30 CHWs, six care coordinators, the Director of Care Coordination, the Medical Director, a registered nurse, mental health specialists, and legal specialists. CHWs are organized into geographic and specialized teams. All CHWs receive basic training that includes oral and mental health; some receive additional disease-specific training. CHWs develop individualized care coordination plans with patients. The implementation of these plans involves delivery of a wide range of social service and coordination support. The number of CHW contacts is determined by patient risk. CHWs spend about 60% of their time in an office setting. To deliver the program optimally, we had to develop multiple CHW job categories that allow for CHW specialization. We created new technology systems to manage operations. Field issues resulted in program changes to improve service delivery and ensure safety. Our experience serves as a model for how to integrate CHWs into clinical and community systems.

Dietary Assimilation among Mexican Children in Immigrant Households: Code-switching and Healthy Eating across Social Institutions.

Immigrant health assimilation is often framed as a linear, individualistic process. Yet new assimilation theory and structural theories of health behavior imply variation in health assimilation as immigrants and their families interact with different US social institutions throughout the day. We test this idea by analyzing how two indicators of dietary assimilation-food acculturation and healthy eating-vary throughout the day as Mexican children in immigrant households consume food in different institutional settings. Using individual fixed-effects models and data from the National Health and Nutrition Examination Survey, we find that Mexican children in immigrant households (N = 2,337) engage in "dietary code-switching," eating more acculturated but not necessarily less healthy food in schools and more acculturated but less healthy food in restaurants compared to homes. Findings advance theory and knowledge about how social institutions condition dietary assimilation in particular and health assimilation more broadly.

Oral Health Problems and Solutions in High-Risk Children and Young Adults.

Purpose: The Coordinated Healthcare for Complex Kids (CHECK) project targets publically insured children and young adults with chronic diseases. The CHECK oral health program intervenes at individual, family, and community levels. This paper describes the baseline oral health status of CHECK patients. Methods: CHECK patients older than 18 years of age and caretakers of younger patients were asked about their oral health. Medicaid claims data were used to determine diagnoses and level of risk. Attendance data from the Chicago Public Schools was obtained to assess absenteeism. Results: Of the 5,509 CHECK patients, 1,122 (20.4%) reported some type of oral health problem in the last six months. The most common issue was a history of dental caries (N=753, 13.7%). The odds of oral health problems increased significantly in adolescents (odds ratio [OR]=1.20; 95% confidence interval [CI]=1.02 to 1.40) and young adults (OR=1.55; 95% CI=1.31 to 1.85) compared with children. Males were less likely than females to have oral health problems (OR=0.83, 95% CI=0.73 to 0.95). Worse general health was significantly associated with oral health problems. Conclusion: CHECK is implementing a multilevel comprehensive approach to address oral health problems.

Building a Pediatric Oral Health Training Curriculum for Community Health Workers.

OBJECTIVES: Community health workers (CHWs) are a promising approach to oral health promotion in high-risk populations. This article describes the process of creating a pediatric oral health CHW training curriculum. DESIGN: Existing curricula were identified through outreach efforts to experts in the oral health and CHW fields, as well as PubMed and Google searches. After coding basic information, curricula were mapped to define oral health domains. Then group discussion was employed to determine final curriculum contents. SETTING: United States. INCLUSION CRITERIA: Curricula were included if they addressed oral health, were in English or Spanish, involved US populations, did not target dental clinicians, and whether sufficient data could be obtained. MAIN OUTCOME MEASURES: Curricula were evaluated for delivery format, number of hours, target audience, inclusion of CHWs, completeness, and oral health content. RESULTS: Eighteen unique curricula were identified; 14 (78%) were CHW specific. Pathologic factors, caries formation, toothbrushing basics, flossing, nutrition, sugar-sweetened beverages, oral health recommendations, baby bottle tooth decay, fluoride treatments, and fluoride were covered to some extent in 75% of curricula. More than half did not mention types of teeth, oral health during pregnancy, antifluoride, cultural humility, and special needs populations. After comparing CHW curricula with non-CHW curricula, the original 26 oral health domains were condensed into 10 CHW training domains. CONCLUSION: Using existing evidence and expert insight, an oral health CHW training curriculum outline was created that emphasizes behaviors, social support, and navigation assistance to promote preventive oral health behaviors in families of young children. This has implications beyond oral health. CHW programs are expanding to address the social determinants of health. The process of creating this curriculum and its basic elements can be applied to other disease areas. Clearly defined trainings that are made publicly available, such as this one, support efforts to standardize the CHW field in preparation for CHW certification and reimbursement in the future.