Firearm-Related Lead Exposure and Child Lead Levels in the United States, 2012-2018.

OBJECTIVE: To determine if firearm ownership is positively related to elevated child lead levels at a state-level, even when accounting for other sources of lead. STUDY DESIGN: For this cross-sectional ecological study, we investigated whether household firearm ownership rates (a proxy for firearm-related lead exposure) was associated with the prevalence of elevated child blood lead levels in 44 US States between 2012 and 2018. To account for potential confounding, we adjusted for other known lead exposures, poverty rate, population density, race, and calendar year. To address missing data, we used multiple imputation by chained equations. RESULTS: Prevalence of elevated child blood lead positively correlated with household firearm ownership and established predictors of lead exposure. In fully adjusted negative binomial regression models, child blood lead was positively associated with household firearm ownership and older housing; each IQR (14%) increase in household firearm ownership rate was associated with a 41% higher prevalence of childhood elevated blood lead (prevalence ratio: 1.41, 95% CI: 1.11-1.79). CONCLUSION: These data provide state-level evidence that firearms may be an important source of child lead exposure. More research is needed to substantiate this relationship and identify modifiable pathways of exposure at the individual level.

Residential greenspace and major depression among older adults living in urban and suburban areas with different climates across the United States.

BACKGROUND AND AIM: Residential greenspace could alleviate depression - a leading cause of disability. Fewer studies of depression and greenspace have considered major depression, and, to our knowledge, none have considered how climate, which determines vegetation abundance and type, may change the impacts of greenspace. Our aim was to investigate whether residential greenspace is associated with major depression among older adults and explore effect modification by climate. METHODS: We used biennial interviews between 2008 and 2016 from the Health and Retirement Study. We calculated greenness within walking distance of home addresses as the maximum NDVI for the year of each participant interview averaged within a 1 km buffer. Reflecting clinical criteria, a score of ≥5 on the CIDI-SF indicated major depression in the preceding 12-months. We characterized climate using Köppen-Geiger classifications. To estimate prevalence ratios, we used Poisson regression. Our models adjusted for sociodemographic characteristics, geography, annual sunshine, and bluespace. RESULTS: The 21,611 eligible participants were 65 ± 10 years old on average, 55% female, 81% White, 12% Black, 10% Hispanic/Latino, and 31% had at least a 4-year college degree. The 12-month prevalence of a major depression was 8%. In adjusted models, more residential greenspace was associated with a lower prevalence of major depression (prevalence ratio per IQR, 0.91; 95% CI, 0.84 to 0.98). There was evidence of effect modification by climate (P forinteraction, 0.062). We observed stronger associations in tropical (prevalence ratio per IQR 0.69; 95% CI, 0.47 to 1.01) and cold (prevalence ratio per IQR, 0.83; 95% CI, 0.74 to 0.93) climates compared to arid (prevalence ratio per IQR 0.99; 95% CI, 0.90 to 1.09) and temperate (prevalence ratio per IQR 0.98; 95% CI, 0.86 to 1.11) climates. CONCLUSIONS: Residential greenspace may help reduce major depression. However, climate may influence how people benefit from greenspace.

OpenNotes and shared decision making: a growing practice in clinical transparency and how it can support patient-centered care.

Objective: Prior studies suggest inviting patients to read their visit notes (OpenNotes) has important benefits for patient engagement. We utilized survey data to investigate our hypothesis that patients who read more notes would report greater shared decision making (SDM). Materials and Methods: Our survey focused on the safety and quality implications of OpenNotes. 24 722 patients at an urban healthcare organization were invited to complete the survey, which included an item assessing the number of notes read and the CollaboRATE scale to measure SDM. We used log-binomial regression to estimate the relative probability of top CollaboRATE scores across number of notes read while controlling for several covariates. Results: 6913 patients responded (28% response rate). Patients reading 4+ clinical notes in the past 12 months were 17% more likely to have top CollaboRATE scores when compared to patients who had not read a note in the previous 12 months (RR: 1.17, 95%CI: 1.04-1.32). Discussion: There is a clear relationship between what SDM requires and the transparency OpenNotes provides. Access to clinicians' notes can support the SDM model, which relies on efficient information exchange between clinicians and well-informed patients. Conclusion: Our study showed evidence of a relationship between note reading and perceived SDM. Implementation of SDM is likely to expand, given its association with improved patient satisfaction, adherence, and medical decision making. Findings from this study highlight OpenNotes as a policy that institutions can implement as a facilitator of SDM and a manifestation of their commitment to patient autonomy and transparency.