He said, “A problem we frequently see is that these databases change the variable definitions over time – in fact, change the variables over time. So if researchers aren’t checking to see if that variable was reported the same every year of the study and in the same way, they will get spurious results. Similarly, the number of hospitals reporting is important as well since hospitals come in and out of these data sets.”
In their introductory editorial, the JAMA Surgery team noted that the checklist, practical guides, and statistical tips are a three-pronged approach that authors should consult before submitting their manuscripts. “We hope that by following these simple guides, authors can benefit from the collective wisdom of so many colleagues who have successfully completed similar analyses in the past,” they wrote.
Dr. Bilimoria sees great strengths in database research, such as giving researchers a population-level view of how care is being delivered, insights into the outcomes of care, indications of the effects of policy decisions, and data on rare diseases and operations.
Big Data of all kinds will be increasingly available for researchers. Dr. Kibbe commented that, “In the future, having a comprehensive (not sampling) country- or worldwide electronic medical record that will allow for robust inclusion of all medical data at the individual as well as cohort level will greatly contribute to the era of personalized medicine. In my opinion, this would be a real-time inclusive medical database that would allow for individual as well as population-based prospective studies.”
Dr. Haider receives support from the Henry M. Jackson Foundation of the Department of Defense, the Orthopaedic Research and Education Foundation, and the National Institutes of Health, and nonfinancial research support the Centers for Medicare and Medicaid Services Office of Minority Health. Dr. Bilimoria was the president of the Surgical Outcomes Club from 2016 to 2017.