Background
Wrongdoing among physicians and researchers causes myriad problems
for patients and research participants. While many articles have been
published on professional wrongdoing, our literature review found no studies
that examined the rich contextual details of large sets of historical cases
of wrongdoing.
Methods
We examined 100 cases of wrongdoing in healthcare delivery and
research using historiometric methods, which involve the statistical
description and analysis of coded historical narratives. We used maximum
variation, criterion-based sampling to identify cases involving 29 kinds of
wrongdoing contained in a taxonomy of wrongdoing developed for the project.
We coded the presence of a variety of environmental and wrongdoer variables
and rated the severity of wrongdoing found in each case. This approach
enabled us to (a) produce rich descriptions of variables characterizing
cases; (b) identify factors influencing the severity of wrongdoing; and (c)
test the hypothesis that professional wrongdoing is a unified, relatively
homogenous phenomenon such as “organizational deviance.”
Results
Some variables were consistently found across cases (e.g., wrongdoers
were male and cases lasted more than 2 years), and some variables were
consistently absent across cases (e.g., cases did not involve wrongdoers who
were mistreated by institutions or penalized for doing what is right).
However, we also found that some variables associated with wrongdoing in
research (such as ambiguous legal and ethical norms) differ from those
associated with wrongdoing in healthcare delivery (such as wrongdoers with a
significant history of professional misbehavior).
Conclusions
Earlier intervention from colleagues might help prevent the pattern
we observed of repeated wrongdoing across multiple years. While some
variables characterize the vast majority of highly publicized cases of
wrongdoing in healthcare delivery and research—regardless of the
kind of wrongdoing—it is important to examine and compare sets of
relatively homogenous cases in order to identify factors associated with
wrongdoing.