The number of medical board personnel, board budget, and the number of
physicians in each state were tested for normality with use of the
KolmogorovSmirnov test to determine appropriate summary statistics and methods
of analysis16. The
number of physicians in each state and the medical board budgets did not
follow a normal bell-shaped distribution and were therefore expressed in terms
of the median and interquartile range. The number of board personnel (per
thousand physicians) and the percentage of physicians disciplined were
normally distributed, are presented with use of the mean and standard
deviation, and are correlated by the Pearson product-moment correlation
coefficient (r). Multiple linear regression analysis was applied to determine
the best-fitting relationship between board personnel (per thousand
physicians) and physician discipline controlling for board budget as a
covariate. A predictive linear equation of the form y = ax + b was derived to
estimate the percentage of physicians disciplined on the basis of board
personnel17. With
the average percentage of physicians who are disciplined (7%) used as a cutoff
value, logistic regression modeling was used to develop a curve to estimate
the probability of disciplining a minimum of 7% of the physicians on the basis
of the number of board personnel (per thousand
physicians)18.
Two-tailed values of p < 0.05 were considered significant. Analysis of the
data was performed with SPSS software (version 14.0; SPSS, Chicago,
Illinois).
The results of our analyses, presented in Figures
1-A,
1-B,
2,
3, show a significant
association between medical board staffing and the number of medical board
actions per practicing physician in each state per year (p < 0.001).
State medical board operation has been hindered by inadequate funding and
staffing. The data we present show a significant relationship between board
resources and the disciplinary activity of each medical board. That such a
relationship exists despite confounders, including variations in board
responsibilities, differing levels of proof, and variable reporting among
states, suggests that medical boards would be more effective if levels of
staffing were increased.
Differences in medical board structure and function undermine the goal of
uniform interstate regulation and create regulatory loopholes whereby inept
physicians can escape detection. This variability also hinders attempts to
gauge the relative effectiveness of medical boards and thereby to identify
states in which reform of the medical board would be beneficial. In the
present study, we used the total number of board actions as reported by the
Federation of State Medical Boards as a proxy for board effectiveness, but
this is not an ideal measure because of considerable and presumably variable
underreporting and because the ideal number of board actions per physician is
difficult to estimate. Once a more uniform system of medical boards is
established, specific criteria by which to judge board effectiveness may be
identified.
Inconsistent and ineffective physician regulation compromises patient
safety by enabling substandard physicians to maintain their professional
credentials and license. Although it is comforting and expedient to blame most
medical errors on system failures, data from the National Practitioner Data
Bank suggest that a small number of incompetent physicians are responsible for
a disproportionate number of mistakes. A well-funded, consistent network of
state medical boards is the best option for identifying and censuring these
bad apples and for establishing effective physician discipline.
A table showing state-by-state medical board data is available with the
electronic versions of this article, on our web site at
(go to
the article citation and click on "Supplementary Material") and on
our quarterly CD-ROM (call our subscription department, at 781-449-9780, to
order the CD-ROM).