Healthcare Impacts Associated with Federally Declared Disasters-Hurricanes Gustave and Ike.
Roberta LavinMary Pat CouigPatricia Watts KelleyThais SchwartsFermin RamosPublished in: International journal of environmental research and public health (2023)
People impacted by disasters may have adverse non-communicable disease health effects associated with the disaster. This research examined the independent and joint impacts of federally declared disasters on the diagnosis of hypertension (HTN), diabetes (DM), anxiety, and medication changes 6 months before and after a disaster. Patients seen in zip codes that received a federal disaster declaration for Hurricanes Gustave or Ike in 2008 and who had electronic health records captured by MarketScan ® were analyzed. The analysis included patients seen 6 months before or after Hurricanes Gustav and Ike in 2008 and who were diagnosed with HTN, DM, or anxiety. There was a statistically significant association between post-disaster and diagnosis of hypertension, X 2 (1, n = 19,328) = 3.985, p = 0.04. There was no association post-disaster and diabetes X 2 (1, n = 19,328) = 0.778, p = 0.378 or anxiety, X 2 (1, n = 19,328) = 0.017, p = 0.898. The research showed that there was a change in the diagnosis of HTN after a disaster. Changes in HTN are an additional important consideration for clinicians in disaster-prone areas. Data about non-communicable diseases help healthcare disaster planners to include primary care needs and providers in the plans to prevent the long-term health impacts of disasters and expedite recovery efforts.
Keyphrases
- healthcare
- electronic health record
- end stage renal disease
- primary care
- type diabetes
- blood pressure
- ejection fraction
- newly diagnosed
- chronic kidney disease
- cardiovascular disease
- public health
- prognostic factors
- peritoneal dialysis
- sleep quality
- glycemic control
- health information
- machine learning
- quality improvement
- general practice
- climate change
- risk assessment
- patient reported outcomes
- adipose tissue
- clinical decision support