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Nivel: Ten health system factors may influence quality of life in people with cancer

Ten health system factors may influence quality of life in people with cancer

The quality of life of people who have or have had cancer may not only be determined by medical treatment or personal circumstances, but also by factors at the health system level. This was shown by research conducted by Nivel as part of the international EUonQoL project.

Nivel: One in ten clients with unintentional weight loss or malnutrition receives more care from the dietitian than is reimbursed under the basic health insurance system

One in ten clients with unintentional weight loss or malnutrition receives more care from the dietitian than is reimbursed under the basic health insurance system

EU citizens need more information and better communication on cancer prevention and early detection

EU citizens need more information and better communication on cancer prevention and early detection

Nivel: Recognition of post-COVID syndrome contributes to recovery

Recognition of post-COVID syndrome contributes to recovery

Nivel: In 2023, more than half of the people with an invitation for a flu vaccination have been vaccinated

In 2023, more than half of the people with an invitation for a flu vaccination have been vaccinated

Nivel: One in twelve adults has diagnosis of chronic kidney disease

One in twelve adults has diagnosis of chronic kidney disease

Nivel: A harmonised approach to Long COVID in the EU is desirable: the currently wide range of definitions and guidelines hamper effective response to the condition

A harmonised approach to Long COVID in the EU is desirable: the currently wide range of definitions and guidelines hamper effective response to the condition

Nivel-research shows how to navigate the collaboration between cancer patients, informal caregivers and researchers

Nivel-research shows how to navigate the collaboration between cancer patients, informal caregivers and researchers

Nivel: Natural Language Processing is promising for deriving information on activities of daily living from unstructured notes in electronic health records

Natural Language Processing is promising for deriving information on activities of daily living from unstructured notes in electronic health records