Background: Warm sea surface temperatures (SSTs) are positively related to incidence of ciguatera fish poisoning (CFP). Increased severe storm frequency may create more habitat for ciguatoxic organisms. Although climate change could expand the endemic range of CFP, the relationship between CFP incidence and specific environmental conditions is unknown.Objectives: We estimated associations between monthly CFP incidence in the contiguous United States and SST and storm frequency in the Caribbean basin.Methods: We obtained information on 1,102 CFP-related calls to U.S. poison control centers during 2001–2011 from the National Poison Data System. We performed a time-series analysis using Poisson regression to relate monthly CFP call incidence to SST and tropical storms. We investigated associations across a range of plausible lag structures.Results: Results showed associations between monthly CFP calls and both warmer SSTs and increased tropical storm frequency. The SST variable with the strongest association linked current monthly CFP calls to the peak August SST of the previous year. The lag period with the strongest association for storms was 18 months. If climate change increases SST in the Caribbean 2.5–3.5°C over the coming century as projected, this model implies that CFP incidence in the United States is likely to increase 200–400%.Conclusions: Using CFP calls as a marker of CFP incidence, these results clarify associations between climate variability and CFP incidence and suggest that, all other things equal, climate change could increase the burden of CFP. These findings have implications for disease prediction, surveillance, and public health preparedness for climate change.Citation: Gingold DB, Strickland MJ, Hess JJ. 2014. Ciguatera fish poisoning and climate change: analysis of National Poison Center data in the United States, 2001–2011. Environ Health Perspect 122:580–586; http://dx.doi.org/10.1289/ehp.1307196
Objective
To measure the effect of a mobile integrated health community paramedicine (MIH‐CP) transitional care program on hospital utilization, emergency department visits, and charges.
Data Sources
Retrospective secondary data from the electronic health record and regional health information exchange were used to analyze patients discharged from a large academic medical center and an affiliated community hospital in Baltimore, Maryland, May 2018–October 2019.
Study Design
We performed an observational study comparing patients enrolled in an MIH‐CP program to propensity‐matched controls. Propensity scores were calculated using measures of demographics, clinical characteristics, social determinants of health, and prior health care utilization. The primary outcome is inpatient readmission within 30 days of discharge. Secondary outcomes include excess days in acute care 30 days after discharge and emergency department visits, observation hospitalizations, and total health care charges within 30 and 60 days of discharge.
Data Collection
Included patients were over 18 years old, discharged to home from internal/family medicine services, and live in eligible ZIP codes. The intervention group was enrolled in the MIH‐CP program; controls met inclusion criteria but were not enrolled during the study period.
Principal Findings
The adjusted model showed no difference in 30‐day inpatient readmission between 464 enrolled patients and propensity‐matched controls (adjusted incidence rate ratio = 1.19, 95% confidence interval [CI] [0.89, 1.60]). There was a higher rate of observation hospitalizations within 30 days of index discharge for MIH‐CP patients (adjusted incidence rate ratio = 1.78, 95% CI = [1.01, 3.14]). This difference did not persist at 60 days, and there were no differences in other secondary outcomes.
Conclusions
We found no significant difference in short‐term health care utilization or charges between patients enrolled in an MIH‐CP transitional care program and propensity‐matched controls. This highlights the importance of well‐controlled, robust evaluations of effectiveness in novel care‐delivery systems.
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