Data Access Register - full project summary
| Application ID | LLC_0037 |
|---|---|
| Project Title | The role of sociodemographic factors in attendance at cancer and cardiovascular disease screening and in delayed cancer diagnosis before, during and after the COVID-19 pandemic in people with severe or complex mental illness. |
| Lead Applicant | Naomi Launders |
| Organisation(s) Name(s) | University College London |
| Approval Date | 20/05/2025 |
| Application Status | Approved |
| Lay Summary | Severe mental illnesses (SMI) like schizophrenia or bipolar disorder or other complex mental illness needing hospital treatment, can make every-day life harder. Adults with these conditions are more likely to have long-term physical health conditions, and are more likely to die young. They may be less likely to go for important health check-ups and are more likely to be diagnosed with cancer at a later stage when it’s harder to treat. We also know that the impact of the COVID-19 pandemic on health services affected some groups more than others. For adults with severe or complex mental illness (SCMI), we want to know who is most likely to miss cancer or heart disease screening. We are also interested in who gets diagnosed with cancer through emergency routes rather than visiting their GP. We want to know how screening and diagnosis changed during and after the COVID pandemic for people with SCMI and which groups were impacted most. Knowing which groups of people with SCMI are most at risk would allow us to find those who need the most support and who is most likely to be overlooked and why, allowing us to improve screening and diagnosis in people with SCMI. |
| Datasets Requested | LPS Data:
Linked Data Requested
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| Results & Impact |