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果冻影院-THIN Long Covid Study

果冻影院 (果冻影院), in collaboration with The Health Improvement Network (THIN), a Cegedim company, is carrying out a study on Long Covid.

The study will use information in GP patient records to improve our understanding of Long Covid, so that patients can receive an earlier diagnosis and better care.

The study is being carried out using the , which is already used for many medical research studies to help improve patient care.

What is the study trying to find out?

The study will investigate the full range of physical and mental health symptoms of COVID-19, by comparing people who have had COVID-19 with those who have not. Researchers will analyse information about people's symptoms in the clinical notes typed by the GP (鈥榝ree text鈥), as well as diagnoses, medication and test results.

What is 鈥榝ree text鈥?

Some of the information in health records is in the form of numbers or codes, such as diagnosis codes or laboratory measurements, and is called 鈥榮tructured鈥 or 鈥榗oded鈥 data. Structured data does not include words and sentences typed by the doctor in the clinical notes, which often contain information about patient symptoms. These clinical notes are called 鈥榝ree text鈥.

This study will use both types of information (structured information and free text) to improve our understanding of Long Covid.

A computer screen shows clinical codes and other medical data matched to clinical notes about covid.

How are patient data used for the study kept safe and private?

Patient data for this research study will be anonymised and stored securely at all times聽and will be accessible only to a limited number of authorised staff to conduct the research. This study has been approved by a NHS Health Research Authority Ethics Committee.

Structured information in health records is extracted automatically for research in an anonymised way, without including personal identifiers such as name or address. Free text notes in GP records are also extracted to THIN for this study, and computer programs are then used to convert the free text into anonymised structured data. Under strict conditions, approved researchers may view samples of the free text within a secure computing environment to ensure that the extracted information is accurate.

Are other research studies being done on long Covid?

The 果冻影院-THIN study is one of a number of research studies taking place to find out more about Long Covid. Each study has strengths and weaknesses, which is why it is necessary to carry out聽different types of studies to find out different pieces of information about Long Covid.

Some studies involve patients attending specialist clinics. This gives detailed insights into Long Covid聽but is limited to patients who attend a specialist clinic.

Some studies involve patients reporting their own symptoms; they give a detailed understanding of people鈥檚 experiences and are not limited to the symptoms reported to doctors. However, they do not have a comparison group so it is difficult to be sure that the symptoms are definitely due to Long Covid.

This 果冻影院-THIN study will provide another piece of the jigsaw by comparing GP patient records between people with and without a history of COVID-19. It will be particularly relevant to help patients attending their GPs with symptoms that may be due to Long Covid.

Who is funding the study?

The study is funded by the , as part of a grant to 果冻影院 for the project 鈥溾.

Who are the study team?

The study is led by the 果冻影院 Institute of Health Informatics by Dr Anoop Shah. The study team is a collaboration of researchers from 果冻影院 and other universities, clinicians, and patient and public members.