Overview DatabaseThe data for all patients
are held in the same database that is compatible with Microsoft Access.
Although the tables can be manipulated using that program this is not
recommended since links can be inadvertently lost rendering the data
unreliable. If you modify the database directly from Microsoft Access
you risk making your data permanently inaccessible to Pedipod/LLD. If
you plan to use the database in this way, backup first, and use a copy
of the database, not the original.
One
can only lose data entered since the last backup!
The database should be backed
up frequently to avoid losing data through computer malfunction. This
can be done with a simple menu command.
AnalysisA growth segment is a series
of leg length assessments uninterrupted by surgery.
In order to perform its
analysis Pedipod/LLD divides all available growth data into growth segments.
Available data are divided into growth segments by surgical procedures
that change length or growth rate. Each segment is then analyzed separately
by performing linear regression analysis on the data in that segment.
Accuracy in individual growth
segments increases with the duration of that segment, the number of
assessments it contains, and, of course, the accuracy of that data.
If there is only one assessment in a growth segment Pedipod/LLD cannot
plot the growth line. If there was a lengthening immediately preceding
that point it may use the amount of the lengthening, but, if it does
so, the accuracy of that segment depends on the accuracy of the value
entered.
Accuracy in a single growth
segment is of clinical importance only if that segment is being used
to predict the future. In other words, only the data for the last surgical
procedure, the assessment immediately preceding it, and those assessments
following it are used in predicting future growth and the effects of
further surgery.
WatchdogPedipod/LLD
cannot check for incorrect reading of x-ray measurements.
Pedipod/LLD does its best
to check the data for validity every time a Straight Line Graph Assessment
is performed. If suspicious data are detected appropriate comments and
warnings are provided. This enables the user to review the data to ensure
that it has been properly entered, and, perhaps, to enter further data.
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