Katja Grašič
Biographic Data
| ID | 7793908 |
|---|---|
| NAME | Katja Grašič |
| GIVEN NAMES | Katja |
| FAMILY NAME | Grašič |
| SIGNATURE | GRAŠIČ K |
| AFFILIATIONS | University of York |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Covid-19, deaths at home and end-of-life cancer care
During the COVID-19 pandemic there was a period of high excess deaths from cancer at home as opposed to in hospitals or in care homes. In this paper we aim to explore whether healthcare utilisation trajectories of cancer patients in the final months of life during the COVID-19 pandemic reveal any potential unmet healthcare need. We use English hospital records linked to data on all deaths in and out of hospital which identifies the cause and loca…
The impact of the Covid-19 pandemic on cardiovascular disease prevention and corresponding geographical inequalities in England
Hypertension and AF detection and management were disrupted during the COVID-19 pandemic. The disruption varied considerably across diseases and geography. This highlights the utility of administrative and geographically granular datasets to inform targeted efforts to mitigate the indirect impacts of the pandemic through applied secondary prevention measures
No prominent works on this page.
Covid-19, deaths at home and end-of-life cancer care
During the COVID-19 pandemic there was a period of high excess deaths from cancer at home as opposed to in hospitals or in care homes. In this paper we aim to explore whether healthcare utilisation trajectories of cancer patients in the final months of life during the COVID-19 pandemic reveal any potential unmet healthcare need. We use English hospital records linked to data on all deaths in and out of hospital which identifies the cause and loca…
The impact of the Covid-19 pandemic on cardiovascular disease prevention and corresponding geographical inequalities in England
Hypertension and AF detection and management were disrupted during the COVID-19 pandemic. The disruption varied considerably across diseases and geography. This highlights the utility of administrative and geographically granular datasets to inform targeted efforts to mitigate the indirect impacts of the pandemic through applied secondary prevention measures
Coronavirus disease 2019 (COVID-19 (2 works) · COVID-19 and healthcare impacts (2 works) · Disease (2 works) · Emergency Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Pandemic (2 works) · Ambulatory care (1 works) · Biostatistics (1 works) · Cancer (1 works)