Using Grand Rounds to Train and Prepare a Local Public Health Workforce To Manage COVID-19 Outbreaks During the 2020-2021 Pandemic Winter Upsurge.

In response to the coronavirus disease 2019 (COVID-19) pandemic, the Los Angeles County Department of Public Health (DPH) expanded its workforce by >250 staff during Fall 2020 to manage the expected volume of outbreaks, which ultimately peaked. The workforce included reorganized groups of physicians, nurses, outbreak investigators from several DPH programs, and a 100+ member data science team tasked with designing and operating a data system and information flow process that became the backbone infrastructure of support for field investigation and outbreak management in real-time. The accelerated workforce expansion was completed in 3 months. To prepare new and reassigned permanent staff for fieldwork, DPH and several faculty from the Emory University Rollins School of Public Health adopted a flexible, skills-based series of medical Grand Rounds. These 16 sessions were grounded in practice- and problem-based learning principles using case studies, interactive scenarios, and didactic presentations based on scientific and public health practice information to teach knowledge and skills that were needed to manage COVID-19 outbreaks in different sectors. The evaluation suggests positive experience with the training series as well as impact on job performance.

Encouraging "Positive Views" of Mental Illness in High Schools: An Evaluation of Bring Change 2 Mind Youth Engagement Clubs.

"Bring Change 2 Mind" (BC2M) high school clubs may destigmatize mental illness among club members, but clubs' (1) reach and impact on non-club members at the same school, (2) connection to student help-seeking attitudes, and (3) mechanisms by which they destigmatize mental illness, are unknown. This community-partnered evaluation involved pre/post surveys of predominantly Latino (72%) students at three urban public schools and focus groups and interviews with a sample of club members (n = 26/65, 40%) and all club staff (n = 7, 100%). Multivariate regressions tested relationships between variables. In 84% of the student body responded in the Fall (n = 1,040) and Spring (n = 1,031). Non-club member engagement in BC2M (reach) increased from 25% (Fall) to 44% (Spring) (p < .01). Engagement with BC2M clubs was associated with decreased stigma among members (p < .05) but not non-members (p = .19). Decreased stigma was associated with help-seeking attitudes (p < .01). Possible BC2M mechanisms identified by students and staff include the following: (1) fostering a positive campus climate, (2) normalizing mental health discussions, (3) increasing peer support and help-seeking, and (4) increasing awareness of positive coping behaviors. While BC2M clubs likely reduce stigma for members, effects did not reach non-members, challenging the potential of BC2M clubs as a schoolwide strategy to destigmatize mental health services. Future projects could investigate how to reach non-BC2M members, complement BC2M with other school climate interventions to increase impact, and measure BC2M impact alongside other outcomes relevant to schools, such as academic achievement.

Optimal uses of pooled testing for COVID-19 incorporating imperfect test performance and pool dilution effect: An application to congregate settings in Los Angeles County.

INTRODUCTION: Pooled testing is a potentially efficient alternative strategy for COVID-19 testing in congregate settings. We evaluated the utility and cost-savings of pooled testing based on imperfect test performance and potential dilution effect due to pooling and created a practical calculator for online use. METHODS: We developed a 2-stage pooled testing model accounting for dilution. The model was applied to hypothetical scenarios of 100 specimens collected during a one-week time-horizon cycle for varying levels of COVID-19 prevalence and test sensitivity and specificity, and to 338 skilled nursing facilities (SNFs) in Los Angeles County (Los Angeles) (data collected and analyzed in 2020). RESULTS: Optimal pool sizes ranged from 1 to 12 in instances where there is a least one case in the batch of specimens. 40% of Los Angeles SNFs had more than one case triggering a response-testing strategy. The median number (minimum; maximum) of tests performed per facility were 56 (14; 356) for a pool size of 4, 64 (13; 429) for a pool size of 10, and 52 (11; 352) for an optimal pool size strategy among response-testing facilities. The median costs of tests in response-testing facilities were $8250 ($1100; $46,100), $6000 ($1340; $37,700), $6820 ($1260; $43,540), and $5960 ($1100; $37,380) when adopting individual testing, a pooled testing strategy using pool sizes of 4, 10, and optimal pool size, respectively. CONCLUSIONS: Pooled testing is an efficient strategy for congregate settings with a low prevalence of COVID-19. Dilution as a result of pooling can lead to erroneous false-negative results.

Barriers and Facilitators to Implementation of Health System Interventions Aiming to Welcome and Protect Immigrant Patients: a Qualitative Study.

BACKGROUND: At the same time that federal policymakers have enforced restrictive immigration policies, healthcare systems across the USA are developing, and have implemented, interventions aimed at addressing immigration-related stressors faced by immigrant communities. Yet, little is known about the contextual determinants that influence their implementation success. Using the Consolidated Framework for Implementation Research (CFIR), this study identifies factors enabling or challenging the implementation of interventions aimed at mitigating immigration-related stressors in the healthcare context. METHODS: We used a qualitative research design to conduct 38 semi-structured interviews with stakeholders involved in implementation of interventions at 25 healthcare facilities across 5 states with the highest undocumented immigrant populations (California, Texas, New York, Florida, and Illinois). Interviews were conducted from May through August 2018. Constant comparative analysis was used to identify barrier and facilitator themes. Deductive coding was thereafter used to categorize themes according to CFIR domain. RESULTS: Barriers to implementation included perceptions of legal complexity and challenges to adopting such systemic strategies. Facilitators included a national policy climate that had brought immigrant health to the forefront, allowing for leveraging momentum towards institutional change; communication among healthcare personnel; existing community partnerships with immigrant rights and service organizations; and a shared sense of mission centering health equity. Local variation in immigration-related policies (e.g., local law agencies enforcing federal immigration laws) and heterogeneity of local immigrant communities also impacted implementation. Champions and informal leaders were integral to institutional efforts but not sufficient for sustainability. Perceived urgency to act superseded evaluation considerations, with all interventions in initial phases of implementation. Future iterations and evaluations of these interventions are needed to establish best practices and implementation determinants. CONCLUSION: This is the first systematic study describing implementation determinants of immigration-related interventions across health systems. Identifying these determinants provides guidance to other healthcare organizations to effectively strategize and ensure implementation success.

Evaluation of the pathways for students into health professions: the training of under-represented minority students to pursue maternal and child health professions.

The Pathways for Students into Health Professions program is one of four nationally funded programs by the Maternal and Child Health Bureau of the US Department of Health and Human Services to support the training of undergraduate students, particularly from under-represented minority groups to pursue maternal and child health professions. To assess the program's impact on student ratings, knowledge, and interest in maternal and child health professions. A baseline survey on student ratings and knowledge in maternal and child health topics and careers, public health topics, and career development topics was provided to 32 students at the beginning of their first year in the program and approximately 1 year after participation. Half of the students (16 students) in the program from 2009-2011 were from traditionally underrepresented minority groups. After participation, students reported significantly higher ratings of interest in maternal and child health topics and careers and in receiving adequate academic and career guidance. Students also reported significantly higher knowledge of public health, childhood and maternal morbidity and mortality, health care disparities, and life course health development. The program's didactic, experiential, and mentorship activities are changing student ratings and knowledge in a favorable direction toward maternal and child health careers and topics. Undergraduate training programs may be an important mechanism to strengthen the pipeline of a diverse healthcare workforce.

Creating an MCH Pipeline for Disadvantaged Undergraduate Students.

PURPOSE: To address minority health disparities in maternal and child health (MCH), increasing the diversity of the MCH workforce is an important strategy. DESCRIPTION: Guided by the MCH Leadership Competencies, we developed an undergraduate pipeline program for disadvantaged students. Our target population is minority undergraduates who are interested in entering health professions but have academic challenges. We identify these students early in their undergraduate careers and expose them to the field of MCH through a 4-unit course, summer field practicum at an MCH community-based organization or agency, and volunteer experience in a student-run organization focused on helping children and families. We also provide academic advising and personal counseling by a faculty mentor and leadership training opportunities. ASSESSMENT: Since 2006, 75 students have participated in our program, of which 36 are still enrolled and 39 have graduated. Among the graduates, three (8 %) have completed graduate school and are working in a health field; 11 (28 %) are enrolled in graduate school; and 13 (33 %) are currently applying to graduate school. Of the remaining graduates, seven (18 %) are employed in a health field, and five (13 %) are working in an unrelated field. CONCLUSION: Pipeline programs should attempt to reach students as early as possible in their undergraduate careers to more effectively influence their academic trajectories. Many minority students face academic and personal challenges; therefore, intensive academic advising and one-on-one faculty mentoring are important components of pipeline programs.

Using Discrete Event Simulation to Design and Assess an AI-aided Workflow for Same-day Diagnostic Testing of Women Undergoing Breast Screening.

The process of patients waiting for diagnostic examinations after an abnormal screening mammogram is inefficient and anxiety-inducing. Artificial intelligence (AI)-aided interpretation of screening mammography could reduce the number of recalls after screening. We proposed a same-day diagnostic workup to alleviate patient anxiety by employing an AI-aided interpretation to reduce unnecessary diagnostic testing after an abnormal screening mammogram. However, the potential unintended consequences of introducing this workflow in a high-volume breast imaging center are unknown. Using discrete event simulation, we observed that implementing the AI-aided screening mammogram interpretation and same-day diagnostic workflow would reduce daily patient volume by 4%, increase the time a patient would be at the clinic by 24%, and increase waiting times by 13-31%. We discuss how changing the hours of operation and introducing new imaging equipment and personnel may alleviate these negative impacts.

A qualitative analysis of post-hoc interviews with multilevel participants of a randomized controlled trial of a community-based intervention.

INTRODUCTION: Community-based health interventions often demonstrate efficacy in clinical trial settings but fail to be implemented in the real-world. We sought to identify the key operational and contextual elements of the Los Angeles Barbershop Blood Pressure Study (LABBPS), an objectively successful community-based health intervention primed for real-world implementation. LABBPS was a cluster randomized control trial that paired the barbers of Black-owned barbershops with clinical pharmacists to manage uncontrolled hypertension in Black male patrons, demonstrating a substantial 21.6 mmHg reduction in systolic blood pressure. Despite this success, the LABBPS intervention has not expanded beyond the original clinical trial setting. The aim of this study was to determine the facilitating and limiting factors to expansion of the LABBPS intervention. METHODS: We undertook a qualitative assessment of semi-structured interviews with study participants performed after trial completion. Interviews included a total of 31 participants including 20 (6%) of the 319 LABBPS program participants ("patrons"), 10 (19%) barbers, and one (50%) clinical pharmacist. The semi-structured interviews were focused on perceptions of the medical system, study intervention, and influence of social factors on health. RESULTS: Several common themes emerged from thematic analysis of interview responses including: importance of care provided in a convenient and safe environment, individual responsibility for health and health-related behaviors, and engagement of trusted community members. In particular, patrons reported that receiving the intervention from their barber in a familiar environment positively influenced the formation of relationships with clinical pharmacists around shared efforts to improve medication adherence and healthy habits. All interviewee groups identified the trust diad, comprising the familiar environment and respected community member, as instrumental in increasing health-related behaviors to a degree not usually achieved by traditional healthcare providers. DISCUSSION: In conclusion, participants of an objectively successful community-based intervention trial consistently identified key features that could facilitate wider implementation and efficacy: social trust relationships, soliciting insights of trust bearers, and consistent engagement in a familiar community setting. These findings can help to inform the design and operations of future community-based studies and programs aiming to achieve a broad and sustainable impact.

A WIC-based curriculum to enhance parent communication with healthcare providers.

The objectives describe a curriculum to support parent-provider communication about child development, and to demonstrate its impact and effectiveness when delivered by staff from the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). A curriculum was developed by a university-WIC partnership for a WIC center-based health education class to teach parents about child development and how to talk to their child's doctor about development. During a 90-min training session, university pediatricians used this curriculum and trained WIC paraprofessionals to conduct a 20-30 min center-based education session. WIC paraprofessionals completed an on-line survey to obtain their demographic characteristics, and their attitudes and perceptions about the training sessions and their experiences teaching the center-based health education session to parents. Approximately 500 WIC paraprofessionals received the 90-min training session across 60 centers in the Public Health Foundation Enterprises WIC Program in Southern California. About 250 WIC paraprofessionals completed the on-line survey and over 80 % of WIC staff reported that they had learned new information about child development as a result of the training, and 87 % of the WIC staff reported that the training was sufficient to feel comfortable teaching the class content to parents. We demonstrated the ability to build WIC paraprofessional capacity to promote parental participation in child developmental surveillance and communication with their child's doctor. With appropriate training, WIC staff are interested in supporting population-based efforts to improve parent-physician communication about child development that can complement WIC's existing maternal and child health topics.

Modeling COVID-19 infection dynamics and mitigation strategies for in-person K-6 instruction.

Background: U.S. school closures due to the coronavirus disease 2019 (COVID-19) pandemic led to extended periods of remote learning and social and economic impact on families. Uncertainty about virus dynamics made it difficult for school districts to develop mitigation plans that all stakeholders consider to be safe. Methods: We developed an agent-based model of infection dynamics and preventive mitigation designed as a conceptual tool to give school districts basic insights into their options, and to provide optimal flexibility and computational ease as COVID-19 science rapidly evolved early in the pandemic. Elements included distancing, health behaviors, surveillance and symptomatic testing, daily symptom and exposure screening, quarantine policies, and vaccination. Model elements were designed to be updated as the pandemic and scientific knowledge evolve. An online interface enables school districts and their implementation partners to explore the effects of interventions on outcomes of interest to states and localities, under a variety of plausible epidemiological and policy assumptions. Results: The model shows infection dynamics that school districts should consider. For example, under default assumptions, secondary infection rates and school attendance are substantially affected by surveillance testing protocols, vaccination rates, class sizes, and effectiveness of safety education. Conclusions: Our model helps policymakers consider how mitigation options and the dynamics of school infection risks affect outcomes of interest. The model was designed in a period of considerable uncertainty and rapidly evolving science. It had practical use early in the pandemic to surface dynamics for school districts and to enable manipulation of parameters as well as rapid update in response to changes in epidemiological conditions and scientific information about COVID-19 transmission dynamics, testing and vaccination resources, and reliability of mitigation strategies.

Building School-Academic Partnerships to Implement COVID-19 Testing in Underserved Populations.

OBJECTIVE: In April 2021, the US government made substantial investments in students' safe return to school by providing resources for school-based coronavirus disease 2019 (COVID-19) mitigation strategies, including COVID-19 diagnostic testing. However, testing uptake and access among vulnerable children and children with medical complexities remained unclear. METHODS: The Rapid Acceleration of Diagnostics Underserved Populations program was established by the National Institutes of Health to implement and evaluate COVID-19 testing programs in underserved populations. Researchers partnered with schools to implement COVID-19 testing programs. The authors of this study evaluated COVID-19 testing program implementation and enrollment and sought to determine key implementation strategies. A modified Nominal Group Technique was used to survey program leads to identify and rank testing strategies to provide a consensus of high-priority strategies for infectious disease testing in schools for vulnerable children and children with medical complexities. RESULTS: Among the 11 programs responding to the survey, 4 (36%) included prekindergarten and early care education, 8 (73%) worked with socioeconomically disadvantaged populations, and 4 focused on children with developmental disabilities. A total of 81 916 COVID-19 tests were performed. "Adapting testing strategies to meet the needs, preferences, and changing guidelines," "holding regular meetings with school leadership and staff," and "assessing and responding to community needs" were identified as key implementation strategies by program leads. CONCLUSIONS: School-academic partnerships helped provide COVID-19 testing in vulnerable children and children with medical complexities using approaches that met the needs of these populations. Additional work is needed to develop best practices for in-school infectious disease testing in all children.

Common Data Element Collection in Underserved School Communities: Challenges and Recommendations.

OBJECTIVES: To provide recommendations for future common data element (CDE) development and collection that increases community partnership, harmonizes data interpretation, and continues to reduce barriers of mistrust between researchers and underserved communities. METHODS: We conducted a cross-sectional qualitative and quantitative evaluation of mandatory CDE collection among Rapid Acceleration of Diagnostics-Underserved Populations Return to School project teams with various priority populations and geographic locations in the United States to: (1) compare racial and ethnic representativeness of participants completing CDE questions relative to participants enrolled in project-level testing initiatives and (2) identify the amount of missing CDE data by CDE domain. Additionally, we conducted analyses stratified by aim-level variables characterizing CDE collection strategies. RESULTS: There were 15 study aims reported across the 13 participating Return to School projects, of which 7 (47%) were structured so that CDEs were fully uncoupled from the testing initiative, 4 (27%) were fully coupled, and 4 (27%) were partially coupled. In 9 (60%) study aims, participant incentives were provided in the form of monetary compensation. Most project teams modified CDE questions (8/13; 62%) to fit their population. Across all 13 projects, there was minimal variation in the racial and ethnic distribution of CDE survey participants from those who participated in testing; however, fully uncoupling CDE questions from testing increased the proportion of Black and Hispanic individuals participating in both initiatives. CONCLUSIONS: Collaboration with underrepresented populations from the early study design process may improve interest and participation in CDE collection efforts.

The Relationship Between Insurance Status and the Affordable Care Act on Asthma Outcomes Among Low-Income US Adults.

BACKGROUND: Asthma disproportionately affects individuals with lower income. High uninsured rates are a potential driver for this disparity. Previous studies have not examined the effect of the Affordable Care Act (ACA) on asthma-related outcomes for individuals with low income. RESEARCH QUESTION: What is the impact of insurance status and the ACA on asthma outcomes for adults 18 to 64 years of age in households with low-income status? STUDY DESIGN AND METHODS: This study was a pooled cross-sectional observational study using National Health Interview Survey data from 2011 through 2013 and 2016 through 2018. Individuals 18 to 64 years of age with a history of asthma and low income were included. Survey-weighted regression modeling and mediation analysis was used to explore the relationship of insurance status and asthma control. Univariate and multivariate survey-weighted regression modeling then was used to evaluate the correlation of the ACA and asthma outcomes. RESULTS: We identified 4,043 individual observations. Having health insurance was correlated with improved asthma outcomes (OR, 1.25). This relationship was completely mediated by cost barriers to medications and physician visits. Although the ACA resulted in significant changes in insurance status (OR, 2.4), no statistically significant change was found in asthma outcomes. Furthermore, cost barriers to both medications and physician visits persisted in the insured population, 20.7% and 30.0%, respectively. INTERPRETATION: Insurance coverage is associated with improved asthma control for adults 18 to 64 years from households with low socioeconomic status. The ACA reduced the rates of uninsured, but did not have the same magnitude of effect on reducing cost barriers. The persistence of cost barriers may explain in part the lack of population-level improvement in asthma control.

Pediatric Approach to Trauma Treatment and Resilience-A Novel Relationship-Based Curriculum and Approach to Train Pediatric Professionals to Provide Trauma-Informed Care.

Information and techniques from evidence-based, trauma-informed mental health treatments, resilience and parenting literature and supporting evidence from neuroscience were adapted to provide pediatricians a practical approach and tools to promote resilience and respond to trauma symptoms.

School Masking Policies and Secondary SARS-CoV-2 Transmission.

OBJECTIVES: Throughout the COVID-19 pandemic, masking has been a widely used mitigation practice in kindergarten through 12th grade (K-12) school districts to limit within-school transmission. Prior studies attempting to quantify the impact of masking have assessed total cases within schools; however, the metric that more optimally defines effectiveness of mitigation practices is within-school transmission, or secondary cases. We estimated the impact of various masking practices on secondary transmission in a cohort of K-12 schools. METHODS: We performed a multistate, prospective, observational, open cohort study from July 26, 2021 to December 13, 2021. Districts reported mitigation practices and weekly infection data. Districts that were able to perform contact tracing and adjudicate primary and secondary infections were eligible for inclusion. To estimate the impact of masking on secondary transmission, we used a quasi-Poisson regression model. RESULTS: A total of 1 112 899 students and 157 069 staff attended 61 K-12 districts across 9 states that met inclusion criteria. The districts reported 40 601 primary and 3085 secondary infections. Six districts had optional masking policies, 9 had partial masking policies, and 46 had universal masking. In unadjusted analysis, districts that optionally masked throughout the study period had 3.6 times the rate of secondary transmission as universally masked districts; and for every 100 community-acquired cases, universally masked districts had 7.3 predicted secondary infections, whereas optionally masked districts had 26.4. CONCLUSIONS: Secondary transmission across the cohort was modest (<10% of total infections) and universal masking was associated with reduced secondary transmission compared with optional masking.

Introduction of solid food to young infants.

Timing of the first introduction of solid food during infancy may have potential effects on life-long health. To understand the characteristics that are associated with the timing of infants' initial exposure to solid foods. The 2000 National Survey of Early Childhood Health (NSECH) was a nationally representative telephone survey of 2,068 parents of children aged 4-35 months, which profiled content and quality of health care for young children. African-American and Latino families were over-sampled. Analyses in this report include bivariate tests and logistic regressions. 62% of parents reported introducing solids to their child between 4-6 months of age. African-American mothers (OR=0.5 [0.3, 0.9]), English-speaking Latino mothers (OR=0.4 [0.2, 0.7]), White mothers with more than high school education (OR=0.5 [0.2, 1.0]), and mothers who breastfed for 4 months or longer (OR=0.4 [0.3, 0.7]) were less likely to introduce solids early. Most parents (92%) of children 4-9 months of age reported that their pediatric provider had discussed introduction of solids with them since the child's birth, and provider discussion of feeding was not associated with the timing of introduction of solids. Although most parents recall discussing the introduction of solid foods with their child's physician, several subgroups of mothers introduce solid foods earlier than the AAP recommendation of 4-6 months. More effective discussion of solid food introduction linked to counseling and support of breastfeeding by the primary health care provider may reduce early introduction of solids.

Modeling infection dynamics and mitigation strategies to support K-6 in-person instruction during the COVID-19 pandemic.

OBJECTIVE: To support safer in-person K-6 instruction during the coronavirus disease 2019 (COVID- 19) pandemic by providing public health authorities and school districts with a practical model of transmission dynamics and mitigation strategies. METHODS: We developed an agent-based model of infection dynamics and preventive mitigation strategies such as distancing, health behaviors, surveillance and symptomatic testing, daily symptom and exposure screening, quarantine policies, and vaccination. The model parameters can be updated as the science evolves and are adjustable via an online user interface, enabling users to explore the effects of interventions on outcomes of interest to states and localities, under a variety of plausible epidemiological and policy assumptions. RESULTS: Under default assumptions, secondary infection rates and school attendance are substantially affected by surveillance testing protocols, vaccination rates, class sizes, and effectiveness of safety education. CONCLUSIONS: Our model helps policymakers consider how mitigation options and the dynamics of school infection risks affect outcomes of interest. The model's parameters can be immediately updated in response to changes in epidemiological conditions, science of COVID-19 transmission dynamics, testing and vaccination resources, and reliability of mitigation strategies.

Differences in Implementation Outcomes of a Shared Decision-Making Program for Men with Prostate Cancer between an Academic Medical Center and County Health Care System.

BACKGROUND: Shared decision making (SDM) has long been advocated as the preferred way for physicians and men with prostate cancer to make treatment decisions. However, the implementation of formal SDM programs in routine care remains limited, and implementation outcomes for disadvantaged populations are especially poorly described. We describe the implementation outcomes between academic and county health care settings. METHODS: We administered a decision aid (DA) for men with localized prostate cancer at an academic center and across a county health care system. Our implementation was guided by the Consolidated Framework for Implementation Research and the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. We assessed the effectiveness of the DA through a postappointment patient survey. RESULTS: Sites differed by patient demographic/clinical characteristics. Reach (DA invitation rate) was similar and insensitive to implementation strategies at the academic center and county (66% v. 60%, P = 0.37). Fidelity (DA completion rate) was also similar at the academic center and county (77% v. 80%, P = 0.74). DA effectiveness was similar between sites, except for higher academic center ratings for net promoter for the doctor (77% v. 37%, P = 0.01) and the health care system (77% v. 35%, P = 0.006) and greater satisfaction with manner of care (medians 100 v. 87.5, P = 0.04). Implementation strategies (e.g., faxing of patients' records and meeting patients in the clinic to complete the DA) represented substantial practice changes at both sites. The completion rate increased following the onset of reminder calls at the academic center and the creation of a Spanish module at the county. CONCLUSIONS: Successful DA implementation efforts should focus on patient engagement and access. SDM may broadly benefit patients and health care systems regardless of patient demographic/clinical characteristics.

Using control charts to understand community variation in COVID-19.

Decision-makers need signals for action as the coronavirus disease 2019 (COVID-19) pandemic progresses. Our aim was to demonstrate a novel use of statistical process control to provide timely and interpretable displays of COVID-19 data that inform local mitigation and containment strategies. Healthcare and other industries use statistical process control to study variation and disaggregate data for purposes of understanding behavior of processes and systems and intervening on them. We developed control charts at the county and city/neighborhood level within one state (California) to illustrate their potential value for decision-makers. We found that COVID-19 rates vary by region and subregion, with periods of exponential and non-exponential growth and decline. Such disaggregation provides granularity that decision-makers can use to respond to the pandemic. The annotated time series presentation connects events and policies with observed data that may help mobilize and direct the actions of residents and other stakeholders. Policy-makers and communities require access to relevant, accurate data to respond to the evolving COVID-19 pandemic. Control charts could prove valuable given their potential ease of use and interpretability in real-time decision-making and for communication about the pandemic at a meaningful level for communities.

Racial and ethnic disparities in pediatric experiences of family-centered care.

BACKGROUND: Previous studies have examined racial and ethnic disparities in the receipt of family-centered care among children with special health care needs and health plan enrollees, but the extent of disparities in the general pediatric population remains unclear. OBJECTIVE: To examine racial and ethnic disparities in the receipt of family-centered care among a general population of US children. METHODS: Linked data from the Medical Expenditure Panel Survey and the National Health Interview Survey (2003-2006) were used to study 4 family-centered care items and an overall composite measure of family-centered care. Adjusted models examined the extent to which child characteristics, socioeconomic, and access to care factors explained racial and ethnic disparities in the provision of family-centered care. RESULTS: Black children have similar experiences as white children on overall family-centered care and on each of the 4 components of family-centered care in models that adjust for child characteristics and socioeconomic factors. In contrast, differences in dimensions of and overall family-centered care between white children and Latino children, irrespective of interview language, persist after multivariate adjustment. CONCLUSIONS: Future research should examine the extent to which Latino-white differences in the receipt of family-centered care can be narrowed with programs and policies geared at improving parental education, health literacy, the quality of provider communication, and quality improvement strategies for health care systems.