Analysis of Clinical Parameters, Drug Consumption and Use of Health Resources in a Southern European Population with Diabetes That Did Not Contract COVID-19: A Longitudinal Big Data Study.
Ana Lear-ClaverasBárbara Olivan-BlázquezAna ClaveriaSabela Couso-VianaRosa Magallón BotayaPublished in: International journal of environmental research and public health (2022)
The lockdown measures imposed to stop the spread of the virus have affected the general population, but particularly people with chronic diseases such as diabetes. An observational real world data pre-post study of 86,615 individuals over the age of 16, having a medical history in the Aragon (Spain) Health Service and diagnosed with diabetes, without COVID-19 infection was undertaken. Clinical, pharmacological and health resource use variables were collected during the six months prior to the onset of the lockdown and during the six months after the lockdown ended. The Student's t -test was used to analyse differences in means. Our study does not show clinically relevant changes six months following the end of the strict lockdown. The consumption, by these patients, of hypoglycaemic drugs and the use of health resources continue at below pre-pandemic levels, six months later. The interruption in care for these patients and the lifestyle change resulting from the pandemic do not appear to have had a significant impact on the health of the diabetic population.
Keyphrases
- healthcare
- big data
- type diabetes
- public health
- sars cov
- coronavirus disease
- cardiovascular disease
- end stage renal disease
- mental health
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- machine learning
- physical activity
- palliative care
- emergency department
- artificial intelligence
- metabolic syndrome
- glycemic control
- health promotion
- insulin resistance
- quality improvement
- adipose tissue
- cross sectional
- chronic pain
- climate change
- respiratory syndrome coronavirus
- pain management