Tracking Environmental and Health Disparities to Strengthen Resilience Before the Next Crisis.

The COVID-19 pandemic has underscored how underlying disparities in environmental and health conditions exacerbate vulnerability during public health emergencies in low-income and communities of color. Neglected epidemics-high rates of pollution, chronic disease, and racial and socioeconomic health disparities-have continued amid persistent systemic racism and declining investment in public health. Recognized too late due to shortcomings in public health data tracking, COVID-19 has surged through vulnerable communities. Improved public health tracking is critical for informing the country's recovery from COVID-19, and it can be leveraged to measure and reduce health disparities and strengthen community resilience to respond more effectively to the next public health crisis. We emphasize how public health tracking agencies can engage communities in data collection and reporting; we also discuss the complementary role that communities can take to mobilize data to change policies and institutions, strengthening resilience through increased information and capacity driven by community priorities. Success requires the continuous collection of timely data at a community scale, and public health agencies partnering with communities to use the information in decision making and evaluation to ensure progress over time. We highlight community-engaged data collection and reporting-community air monitoring in Imperial County, CA-as an example of working with communities to improve public health data collection and reporting, increase community dialogue and engagement in governmental decision making, and inform public health tracking to reduce health disparities and strengthen community resilience.

Environmental Health Tracking Improves Pesticide Use Data to Enable Research and Inform Public Health Actions in California.

Pesticides have adverse impacts on the environment and public health. In response to growing public concern over these impacts, California implemented the Pesticide Use Reporting (PUR) program in 1990. The PUR program is widely recognized as the world's most comprehensive pesticide reporting system, and its pesticide application records are highly detailed. However, the complexity and volume of PUR data require a level of data skills and resources beyond many government agencies, public health professionals, and community stakeholders. Over the past decade, the California Environmental Health Tracking Program has undertaken multiple strategies to make PUR data more accessible, understandable, and useful to a diversity of data users. Three specific efforts are described in detail-the Pesticide Linkage Service, the Pesticide Mapping Tool, and a policy-relevant analysis on pesticide use near schools-as are their impacts on environmental and public health research, community outreach and education, and policy change.

Evaluating the Use of Electronic Health Records for Type 2 Diabetes Surveillance in 2 California Counties, 2010-2014.

OBJECTIVES: Electronic health records (EHRs) and electronic laboratory records (ELRs) are increasingly seen as a rich source of data for performing public health surveillance activities and monitoring community health status. Their potential for surveillance of chronic illness, however, may be underused. Our objectives were to (1) evaluate the use of EHRs and ELRs for diabetes surveillance in 2 California counties and (2) examine disparities in diabetes prevalence by geography, income, and race/ethnicity. METHODS: We obtained data on a clinical diagnosis of diabetes and hemoglobin A1c (HbA1c) test results for adult members of Kaiser Permanente Northern California living in Contra Costa County or Solano County at any time during 2010-2014. We evaluated the validity of using HbA1c test results to determine diabetes prevalence, using clinical diagnoses as a gold standard. We estimated disparities in diabetes prevalence by combining HbA1c test results with US Census data on income, race, and ethnicity. RESULTS: When compared with a clinical diagnosis of diabetes, data on a patient's 5-year maximum HbA1c value ≥6.5% yielded the best combination of sensitivity (87.4%) and specificity (99.2%). The prevalence of 5-year maximum HbA1c ≥6.5% decreased with increasing median family income and increased with greater proportions of residents who were either non-Hispanic black or Hispanic. CONCLUSIONS: Timely diabetes surveillance data from ELRs can be used to document disparities, target interventions, and evaluate changes in population health. ELR data may be easier to access than a patient's entire EHR, but outcome metric validation with diabetes diagnoses would need to be ongoing. Future research should validate ELR and EHR data across multiple providers.

Estimating the Proportion of Childhood Cancer Cases and Costs Attributable to the Environment in California.

OBJECTIVES: To estimate the proportion of cases and costs of the most common cancers among children aged 0 to 14 years (leukemia, lymphoma, and brain or central nervous system tumors) that were attributable to preventable environmental pollution in California in 2013. METHODS: We conducted a literature review to identify preventable environmental hazards associated with childhood cancer. We combined risk estimates with California-specific exposure prevalence estimates to calculate hazard-specific environmental attributable fractions (EAFs). We combined hazard-specific EAFs to estimate EAFs for each cancer and calculated an overall EAF. Estimated economic costs included annual (indirect and direct medical) and lifetime costs. RESULTS: Hazards associated with childhood cancer risks included tobacco smoke, residential exposures, and parental occupational exposures. Estimated EAFs for leukemia, lymphoma, and brain or central nervous system cancer were 21.3% (range = 11.7%-30.9%), 16.1% (range = 15.0%-17.2%), and 2.0% (range = 1.7%-2.2%), respectively. The combined EAF was 15.1% (range = 9.4%-20.7%), representing $18.6 million (range = $11.6 to $25.5 million) in annual costs and $31 million in lifetime costs. CONCLUSIONS: Reducing environmental hazards and exposures in California could substantially reduce the human burden of childhood cancer and result in significant annual and lifetime savings.

A health impact assessment of California's proposed cap-and-trade regulations.

OBJECTIVES: To identify unintended health effects of California's controversial cap-and-trade regulations and establish health-promoting policy recommendations, we performed a health impact assessment. METHODS: We used literature reviews, public data, and local health surveys to qualitatively assess potential health risks and benefits related to changes in employment and income, energy costs, effects of emission offset projects, and cobenefits from the allocation of program revenue. We examined case studies from various communities to find existing social, economic, and environmental health conditions. RESULTS: We found that policy implementation will minimally impact job creation (< 0.1% change) and that health effects from job sector shifts are unlikely. Fuel prices may increase (0%-11%), and minor negative health effects could accrue for some low-income households. CONCLUSIONS: Offset projects would likely benefit environmental health, but more research is needed. Allocating some program revenue for climate change adaptation and mitigation would have substantial health benefits. Health impact assessment is a useful tool for health agencies to engage in policy discussions that typically fall outside public health. Our results can inform emission reduction strategies and cap-and-trade policy at the federal level.

Systematic review of active commuting to school and childrens physical activity and weight.

BACKGROUND: The recent decline in children's active commuting (walking or biking) to school has become an important public health issue. Recent programs have promoted the positive effects of active commuting on physical activity (PA) and overweight. However, the evidence supporting such interventions among schoolchildren has not been previously evaluated. METHODS: This article presents the results of a systematic review of the association between active commuting to school and outcomes of PA, weight, and obesity in children. RESULTS: We found 32 studies that assessed the association between active commuting to school and PA or weight in children. Most studies assessing PA outcomes found a positive association between active commuting and overall PA levels. However, almost all studies were cross-sectional in design and did not indicate whether active commuting leads to increased PA or whether active children are simply more likely to walk. Only 3 of 18 studies examining weight found consistent results, suggesting that there might be no association between active commuting and reduced weight or body mass index. CONCLUSION: Although there are consistent findings from cross-sectional studies associating active commuting with increased total PA, interventional studies are needed to help determine causation.