Study type

Study type

Non-interventional study

Scope of the study

Disease epidemiology
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Diabetes mellitus
Hypoglycaemia
Population studied

Age groups

Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Renal impaired
Hepatic impaired
Immunocompromised

Estimated number of subjects

350000
Study design details

Main study objective

The main objective of this study is to understand insulin and sulfonylurea prescription practices after an episode of severe hypoglycemia.

Outcomes

Deintensification of insulin and/or sulfonylurea therapy following hypoglycemia-related ED visit or hospitalization, Describing prescription patterns of glucose-lowering drugs before and after hypoglycemia-related ED visit or hospitalization event.

Data analysis plan

Aim 1 We will determine crude cumulative incidence of deintensification following hypoglycemia. Multivariate logistic regression modelling will be used to assess the relationship between patient factors and deintensification versus no deintensification following hypoglycemia. Successively complex models will be built to capture individual demographic and clinical factors, diabetes complications and comorbidities, medication use, and health-care utilization. Aim 2: We will estimate the probability of filling each glucose-lowering drug before and after hypoglycemia-related ED visit (i.e. index event). This will be done in a) the full sample, and b) by baseline diabetes regimen (e.g. basal/bolus, basal only, premixed, oral agents only). We will also use a latent class analysis approach to characterize latent groups of diabetes medication trajectories pre- and post-index event.