Denmark has a long tradition of conducting large-scale representative health surveys aiming at describing the status and trends in health and morbidity in the population. Such health surveys constitute an essential component in comprehensive public health surveillance systems, providing information of great importance in health care planning and policy development. Accordingly, it is essential that data from health surveys are valid and reliable and not suffer from or are compromised by systematic methodological challenges.
Aim:
The aim is to examine the validity, reliability, and challenges of data from nationwide health surveys in Denmark.
Methods:
In the present Ph.D. study, data derive from The Danish Health and Morbidity Survey (2000-2017), and The Danish National Health Survey (2017), and survey data will be linked to administrative registers to retrieve relevant information. More specifically, the Ph.D. study describes the study design, response rates, and respondent characteristics, the impact of applying calibrated weights to account for differential non-response, the reliability of self-reported health outcomes using repeated measurements, and the validity of self-reported diseases when compared to data from administrative registers.
Project period:
2021-2024