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2016 ; 10
(5
): 1073-8
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Using Large Diabetes Databases for Research
#MMPMID27127207
Wild S
; Fischbacher C
; McKnight J
J Diabetes Sci Technol
2016[Sep]; 10
(5
): 1073-8
PMID27127207
show ga
There are an increasing number of clinical, administrative and trial databases
that can be used for research. These are particularly valuable if there are
opportunities for linkage to other databases. This paper describes examples of
the use of large diabetes databases for research. It reviews the advantages and
disadvantages of using large diabetes databases for research and suggests
solutions for some challenges. Large, high-quality databases offer potential
sources of information for research at relatively low cost. Fundamental issues
for using databases for research are the completeness of capture of cases within
the population and time period of interest and accuracy of the diagnosis of
diabetes and outcomes of interest. The extent to which people included in the
database are representative should be considered if the database is not
population based and there is the intention to extrapolate findings to the wider
diabetes population. Information on key variables such as date of diagnosis or
duration of diabetes may not be available at all, may be inaccurate or may
contain a large amount of missing data. Information on key confounding factors is
rarely available for the nondiabetic or general population limiting comparisons
with the population of people with diabetes. However comparisons that allow for
differences in distribution of important demographic factors may be feasible
using data for the whole population or a matched cohort study design. In summary,
diabetes databases can be used to address important research questions.
Understanding the strengths and limitations of this approach is crucial to
interpret the findings appropriately.
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