Data Access Register - full project summary
| Application ID | LLC_0010 |
|---|---|
| Project Title | Association of COVID-19 and Long COVID with disruption in employment and finances |
| Lead Applicant | Richard Shaw |
| Organisation(s) Name(s) | University of Glasgow |
| Approval Date | 22/05/2022 |
| Application Status | Approved |
| Lay Summary | The COVID-19 pandemic has led to large-scale employment disruption, but little is known about the impact on employment for people who caught COVID-19.
We will compare the differences in employment status, the number of hours worked, and financial circumstances for people who have had COVID-19 or long COVID compared to those who have not. To do this we will use employment and financial data from research studies, in combination self-identified measures and NHS health records on COVID-19 infection and long COVID. Although we have information on COVID-19 infection and long COVID from our research studies, NHS infection data will give us more reliable information about who was infected and when. NHS healthcare and hospital records will also tell us how severe people’s infections have been, and how long they have lasted. We hope that this study will tell us how COVID-19 and long COVID might influence people’s ability to carry on in work and cope financially. We will share the results with policy makers to guide decisions on how to support people who have been infected by COVID-19 to return to work and financially support their families. This will be important given the large numbers of people who have long COVID. |
| Datasets Requested | Study data
Linked data
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| Results & Impact | We found that testing positive for COVID-19 had either no relationship with subsequent economic activity or only a small one, once alternative explanations were accounted for. The alternative explanations included: keyworker status, health prior to the pandemic, highest educational qualifications, socio-economic classification, and whether they had taken steps to protect themselves from exposure to COVID-19. The key limitation with this study is that at the time for which we have employment data, only a small proportion of people had had COVID-19, thus it is not possible to eliminate COVID-19 having a stronger relationship, in a different sample, or at a time when more people have had COVID-19. Testing positive for COVID-19 only has either a weak or no association with economic inactivity for this sample, at this time. It appears that COVID-19 infections are unlikely to have led to an increase in economic inactivity, but it would not be that surprising if other studies found different results.
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