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Risk factors and prediction models for long COVID: analysis of longitudinal cohort studies with linked NHS data

Safe People

Organisation name

University of Plymouth

Organisation sector

Academic Institute

Applicant name(s)

Yinghui Wei

Safe Projects

Project ID

llc_0008

Lay summary

Patients with long COVID have symptoms over a long time. Some patients do not receive a diagnosis from their doctors, and do not receive support for recovery from long COVID. With the requested data, we will compare two sources of information on long COVID, reported by patients and by their doctors. We will identify who are more likely to miss a diagnosis by doctors. The data on patients are needed to find who are at higher risk of having long COVID. The benefit to patients includes the improved diagnosis of long COVID. More patients will receive a diagnosis by doctors. They will have better chance to have healthcare support for recovery.

Latest approval date

06/01/2022

Safe Data

Dataset(s) name

Covid-19 Vaccination Status

NPex (Pillar 2)

Mental Health Services Dataset

Hospital Episode Statistics Outpatient

Demographics

Covid-19 SARI-WATCH (formally CHESS)

COVID-19 Second Generation Surveillance System (Pillar 1 and 2)

Covid-19 UK Non-hospital Antibody Testing Results (Pillar 3)

Civil Registration – Deaths

Electronic Communication of Surveillance in Scotland (ECOSS)

Public Health Scotland / NHS Prescription Data (PIS)

Public Health Scotland/NHS SMR01 General / Acute Impatient and Day Care

Public Health Scotland / NHS Vaccination Data

Safe Setting

Access type

TRE