The Utility of Administrative Data in Health Research
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Public Health Statistics and Risk Assessment".
Deadline for manuscript submissions: closed (20 January 2022) | Viewed by 8977
Special Issue Editors
Interests: epidemiological studies; real world data; big data; statistical methods; risk modeling; spatial epidemiology; birth/death certificate data
Interests: cancer prevention, cancer survivorship, administrative data, clinical trial, population-level lifestyle modification
Special Issues, Collections and Topics in MDPI journals
Interests: clinical epidemiology; real-world evidence; electronic medical record data; administrative data; population-based study; prediction model; decision making; cancer outcome
Special Issue Information
Dear Colleagues,
The availability and use of regional or national population-based administrative data in health research (e.g., health insurances, cancer, and mortality registries) has increased rapidly in recent years. Especially in countries where a unique person identifier enables the linkage of various databases, administrative data allow estimating the risk of morbidity or mortality, taking into consideration sociodemographic as well as clinical and laboratory-based factors. The use of administrative data in health research has advantages as well as disadvantages, e.g., encompassing a big proportion of the underlying population, thereby reducing the likelihood of selection bias, and thus providing a comprehensive picture of the overall population in comparison to small-sized, clinical-based studies. Additionally, real-world data may allow the analysis of long-term trends, which is rarely possible in clinical studies. On the other hand, administrative data are not set up primarily for scientific use but for administrative purposes (e.g., financial claims) and may thus not meet scientific requirements. Therefore, advantages as well as disadvantages need to be discussed carefully in order to provide an unbiased interpretation of the results.
This Special Issue seeks methodology and original research papers on the various aspects of using real-world or administrative data to describe health-related indicators and their potential association with sociodemographic, environmental, and biometric data.
Prof. Dr. Thomas Waldhör
Dr. Lin Yang
Dr. Yuan Xu
Guest Editors
Manuscript Submission Information
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Keywords
- administrative data
- real world evidence
- health insurances
- health-related indicators
- population based
- observational
- insurance claims
- registry
- linkage
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