Mapping Diabetes in Quebec: Validating Medico-administrative Algorithms for Type 1 Diabetes, Type 2 Diabetes and LADA
This study, based in Quebec, Canada, is looking at health records to improve how we identify different types of diabetes. It focuses on people aged 1 to 40 who were diagnosed with Type 1, Type 2, or LADA (Latent Autoimmune Diabetes in Adults) between 1997 and 2024. Researchers are using existing information, like medication details and hospital visits, to test and refine computer programs (called algorithms) that can tell the difference between these diabetes types. There are no new treatments or medications involved. The main goal is to understand how common each diabetes type is in Quebec and to make sure these computer programs are accurate for future health planning and research. Participants don't need to do anything extra, as their existing medical information is used.
At a glance
What is this study about?
This study is an important project happening in Quebec, Canada, that aims to get a clearer picture of diabetes. Researchers are looking at existing medical and administrative records (like what's in your doctor's office or hospital files) for people who have been diagnosed with diabetes. The main goal is to improve how we tell the difference between the various types of diabetes, specifically Type 1, Type 2, and a less common type called LADA (Latent Autoimmune Diabetes in Adults).
If you have been diagnosed with diabetes in Quebec between 1997 and 2024, and are currently aged between 1 and 40, your medical information might be included in this study. The researchers are using clever computer programs, known as algorithms, to sort through these records. They want to check if these programs can accurately identify which type of diabetes a person has, comparing the computer's guess to what doctors have already diagnosed. This helps them make sure these tools are reliable.
Ultimately, this study is about getting a better understanding of how many people have each type of diabetes in Quebec, and how common new cases are. This information is really valuable because it helps health authorities plan better care, allocate resources more effectively, and improve public health strategies for everyone living with diabetes in the future.
Key takeaways
- This study uses existing medical records, so no direct participation is needed.
- It helps improve how we identify Type 1, Type 2, and LADA in Quebec.
- Data from people aged 1 to 40 diagnosed with diabetes between 1997-2024 is used.
- Understanding diabetes types better helps improve future healthcare planning.
- Your personal information will be kept private and anonymised.
Who may be eligible?
This study is looking at information from people who already have a diagnosis of diabetes. To be included, the medical records need to show that the person was diagnosed with Type 1, Type 2, or LADA (Latent Autoimmune Diabetes in Adults).
The diagnosis must have been made between 1997 and 2024. Also, the person must have been a resident of Quebec, Canada, during that time and have available medical and administrative health records from that period.
Basically, if you were diagnosed with diabetes (Type 1, Type 2, or LADA) in Quebec between 1997 and 2024, and you were aged between 1 and 40, your existing data might be included. People who didn't live in Quebec during the study period won't be included.
Could this study suit you?
Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.
- Were you diagnosed with Type 1, Type 2, or LADA diabetes?
- Was your diabetes diagnosis made between 1997 and 2024?
- Were you a resident of Quebec, Canada, during that time?
- Are you currently aged between 1 and 40 years old?
- Do you have existing medical and administrative records from Quebec?
What does participation involve?
Taking part in this study is very simple for individuals because you don't need to do anything at all. The researchers are only looking at existing, anonymous medical and administrative records that are already held by healthcare providers and government agencies in Quebec. This means there are no clinic visits, no extra tests, no medications to take, and no changes to your usual healthcare appointments. Your personal identity will be protected, and the study will use your medical information to understand diabetes better in Quebec. You won't be contacted directly, and your day-to-day life will not be affected.
Potential risks and benefits
Locations (1)
- Philippe CorsenacVerified postcodeMontreal, Canada
Common questions
What is an 'observational study'?
An observational study means researchers watch and study existing information without giving new treatments or asking people to change anything they usually do.
Will I have to go to extra appointments?
No, you won't need to attend any extra appointments or clinics for this study. It uses your existing medical records.
Will my personal details be shared?
No, your personal details will be protected and made anonymous. The study only uses general information from records, not your name or address.
What are 'algorithms' in this study?
Algorithms are like clever computer programs that help quickly sort through lots of medical records to identify different types of diabetes.
What is LADA?
LADA stands for Latent Autoimmune Diabetes in Adults. It's a type of diabetes that shares features of both Type 1 and Type 2 diabetes.
How to find out more
philippe C corsenac, Ph.D
Always speak to your GP or specialist before deciding to take part in a study.
Interested in taking part?
Discussion
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